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Els F, Kleynhans J, Wolter N, du Plessis M, Moosa F, Tempia S, Makhasi M, Nel J, Dawood H, Meiring S, von Gottberg A, Cohen C, Walaza S. Comparing adults with severe SARS-CoV-2 or influenza infection: South Africa, 2016-2021. S Afr J Infect Dis 2024; 39:574. [PMID: 39114258 PMCID: PMC11304391 DOI: 10.4102/sajid.v39i1.574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/26/2023] [Indexed: 08/10/2024] Open
Abstract
Background Comparisons of the characteristics of individuals hospitalised with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or seasonal influenza in low-to middle-income countries with high human immunodeficiency virus (HIV) prevalence are limited. Objectives Determine the epidemiological differences with those hospitalised with influenza or SARS-CoV-2 infection. Method We investigated hospitalised individuals ≥18 years of age testing positive for seasonal influenza (2016-2019) or SARS-CoV-2 (2020-2021). We used random effects multivariable logistic regression, controlling for clustering by site, to evaluate differences among adults hospitalised with influenza or SARS-CoV-2 infection. Results Compared to individuals with influenza, individuals with SARS-CoV-2 infection were more likely to be diabetic (adjusted odds ratio [aOR]: 1.70, 95% confidence interval [CI]: 1.11-2.61) or die in hospital (aOR: 2.57, 95% CI: 1.61-4.12). Additionally, those with SARS-CoV-2 infection were less likely to be living with HIV (not immunosuppressed) (aOR: 0.50, 95% CI: 0.34-0.73) or living with HIV (immunosuppressed) (aOR: 0.27, 95% CI: 0.18-0.39) compared to not living with HIV and less likely to be asthmatic (aOR: 0.21, 95% CI: 0.13-0.33) rather than those living with influenza. Conclusion Individuals hospitalised with SARS-CoV-2 had different characteristics to individuals hospitalised with influenza before the coronavirus disease 2019 (COVID-19) pandemic. Risk factors should be considered in health management especially as we move into an era of co-circulation of SARS-CoV-2 and influenza pathogens. Contribution Identifying groups at high risk of severe disease could help to better monitor, prevent and control SARS-CoV-2 or influenza severe disease.
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Affiliation(s)
- Fiona Els
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- South African Field Epidemiology Training Programme (SAFETP), Division of Public Health, Surveillance and Response (DPHSR), National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Jackie Kleynhans
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mignon du Plessis
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Fahima Moosa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Stefano Tempia
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mvuyo Makhasi
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
| | - Jeremy Nel
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Greys Hospital, Pietermaritzburg and Centre for the Aids programme of research in South Africa, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Susan Meiring
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases (NICD) of the National Health Laboratory Service (NHLS), Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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2
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Fraser HL, Feldhaus I, Edoka IP, Wade AN, Kohli-Lynch CN, Hofman K, Verguet S. Extended cost-effectiveness analysis of interventions to improve uptake of diabetes services in South Africa. Health Policy Plan 2024; 39:253-267. [PMID: 38252592 DOI: 10.1093/heapol/czae001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 12/07/2023] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
The rising prevalence of diabetes in South Africa (SA), coupled with significant levels of unmet need for diagnosis and treatment, results in high rates of diabetes-associated complications. Income status is a determinant of utilization of diagnosis and treatment services, with transport costs and loss of wages being key barriers to care. A conditional cash transfer (CCT) programme, targeted to compensate for such costs, may improve service utilization. We applied extended cost-effectiveness analysis (ECEA) methods and used a Markov model to compare the costs, health benefits and financial risk protection (FRP) attributes of a CCT programme. A population was simulated, drawing from SA-specific data, which transitioned yearly through various health states, based on specific probabilities obtained from local data, over a 45-year time horizon. Costs and disability-adjusted life years (DALYs) were applied to each health state. Three CCT programme strategies were simulated and compared to a 'no programme' scenario: (1) covering diagnosis services only; (2) covering treatment services only; (3) covering both diagnosis and treatment services. Cost-effectiveness was reported as incremental net monetary benefit (INMB) using a cost-effectiveness threshold of USD3015 per DALY for SA, while FRP outcomes were reported as catastrophic health expenditure (CHE) cases averted. Distributions of the outcomes were reported by income quintile and sex. Covering both diagnosis and treatment services for the bottom two quintiles resulted in the greatest INMB (USD22 per person) and the greatest CHE cases averted. There were greater FRP benefits for women compared to men. A CCT programme covering diabetes diagnosis and treatment services was found to be cost-effective, when provided to the poorest 40% of the SA population. ECEA provides a useful platform for including equity considerations to inform priority setting and implementation policies in SA.
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Affiliation(s)
- Heather L Fraser
- Health Economics and Health Technology Assessment, School of Health and Wellbeing, University of Glasgow, Clarice Pears Building (Level 3), 90 Byres Road, United Kingdom
- SA MRC/Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Johannesburg 2193, South Africa
| | - Isabelle Feldhaus
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ijeoma P Edoka
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 32 Princess of Wales Terrace, Johannesburg 2193, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Johannesburg 2193, South Africa
| | - Alisha N Wade
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Johannesburg 2193, South Africa
- Division of Endocrinology, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, United States
| | - Ciaran N Kohli-Lynch
- SA MRC/Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Johannesburg 2193, South Africa
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 N. Lake Shore Drive, Chicago, IL 60611, United States
| | - Karen Hofman
- SA MRC/Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, 27 St Andrews Road, Johannesburg 2193, South Africa
| | - Stéphane Verguet
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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3
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Gharpure R, Chard AN, Cabrera Escobar M, Zhou W, Valleau MM, Yau TS, Bresee JS, Azziz-Baumgartner E, Pallas SW, Lafond KE. Costs and cost-effectiveness of influenza illness and vaccination in low- and middle-income countries: A systematic review from 2012 to 2022. PLoS Med 2024; 21:e1004333. [PMID: 38181066 PMCID: PMC10802964 DOI: 10.1371/journal.pmed.1004333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 01/22/2024] [Accepted: 12/13/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND Historically, lack of data on cost-effectiveness of influenza vaccination has been identified as a barrier to vaccine use in low- and middle-income countries. We conducted a systematic review of economic evaluations describing (1) costs of influenza illness; (2) costs of influenza vaccination programs; and (3) vaccination cost-effectiveness from low- and middle-income countries to assess if gaps persist that could hinder global implementation of influenza vaccination programs. METHODS AND FINDINGS We performed a systematic search in Medline, Embase, Cochrane Library, CINAHL, and Scopus in January 2022 and October 2023 using a combination of the following key words: "influenza" AND "cost" OR "economic." The search included studies with publication years 2012 through 2022. Studies were eligible if they (1) presented original, peer-reviewed findings on cost of illness, cost of vaccination program, or cost-effectiveness of vaccination for seasonal influenza; and (2) included data for at least 1 low- or middle-income country. We abstracted general study characteristics and data specific to each of the 3 study types. Of 54 included studies, 26 presented data on cost-effectiveness, 24 on cost-of-illness, and 5 on program costs. Represented countries were classified as upper-middle income (UMIC; n = 12), lower-middle income (LMIC; n = 7), and low-income (LIC; n = 3). The most evaluated target groups were children (n = 26 studies), older adults (n = 17), and persons with chronic medical conditions (n = 12); fewer studies evaluated pregnant persons (n = 9), healthcare workers (n = 5), and persons in congregate living settings (n = 1). Costs-of-illness were generally higher in UMICs than in LMICs/LICs; however, the highest national economic burden, as a percent of gross domestic product and national health expenditure, was reported from an LIC. Among studies that evaluated the cost-effectiveness of influenza vaccine introduction, most (88%) interpreted at least 1 scenario per target group as either cost-effective or cost-saving, based on thresholds designated in the study. Key limitations of this work included (1) heterogeneity across included studies; (2) restrictiveness of the inclusion criteria used; and (3) potential for missed influenza burden from use of sentinel surveillance systems. CONCLUSIONS The 54 studies identified in this review suggest an increased momentum to generate economic evidence about influenza illness and vaccination from low- and middle-income countries during 2012 to 2022. However, given that we observed substantial heterogeneity, continued evaluation of the economic burden of influenza illness and costs/cost-effectiveness of influenza vaccination, particularly in LICs and among underrepresented target groups (e.g., healthcare workers and pregnant persons), is needed. Use of standardized methodology could facilitate pooling across settings and knowledge sharing to strengthen global influenza vaccination programs.
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Affiliation(s)
- Radhika Gharpure
- U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Anna N. Chard
- U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | | | - Weigong Zhou
- U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Molly M. Valleau
- U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Tat S. Yau
- U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Joseph S. Bresee
- Task Force for Global Health, Atlanta, Georgia, United States of America
| | | | - Sarah W. Pallas
- U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Kathryn E. Lafond
- U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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Maleki F, Welch V, Lopez SMC, Cane A, Langer J, Enstone A, Markus K, Wright O, Hewitt N, Whittle I. Understanding the Global Burden of Influenza in Adults Aged 18-64 years: A Systematic Literature Review from 2012 to 2022. Adv Ther 2023; 40:4166-4188. [PMID: 37470942 PMCID: PMC10499696 DOI: 10.1007/s12325-023-02610-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 07/07/2023] [Indexed: 07/21/2023]
Abstract
INTRODUCTION Adults aged 18-64 years comprise most of the working population, meaning that influenza infection can be disruptive, causing prolonged absence from the workplace, and reduced productivity and the ability to care for dependents. Influenza vaccine uptake is relatively low, even among the older adults in this population (i.e., aged 50-64 years), reflecting a lack of perceived need for vaccination. This systematic literature review (SLR) aimed to characterize the global burden of influenza in the 18-64 years population. METHODS An electronic database search was conducted and supplemented with conference and gray literature searches. Eligible studies described at least one of clinical, humanistic, or economic outcomes in adults aged 18-64 years and conducted across several global regions. Included studies were published in English, between January 1, 2012, and September 20, 2022. RESULTS A total of 40 publications were included, with clinical, humanistic, and economic outcomes reported in 39, 5, and 15, respectively. Risk of influenza-associated clinical outcomes were reported to increase with age among the 18-64 years population, including hospitalizations (Yamana et al. in Intern Med 60:3401-3408, 2021; Derqui et al. in Influenza Other Respir Viruses 16:862-872, 2022; Fuller et al. in Influenza Other Respir Viruses 16:265-275, 2022; Ortiz et al. in Crit Care Med 42:2325-2332, 2014; Yandrapalli et al. in Ann Transl Med 6:318, 2018; Zimmerman et al. in Influenza Other Respir Viruses 16:1133-1140, 2022). ICU admissions, mortality, ER/outpatient visits, and use of mechanical ventilation were recorded. Adults aged 18-64 years with underlying comorbidities were at higher risk of influenza-related hospitalizations, ICU admission, and mortality than otherwise healthy individuals. Length of hospital stay increased with age, although a lack of stratification across other economic outcomes prevented identification of further trends across age groups. CONCLUSIONS High levels of hospitalization and outpatient visits demonstrated a clinical influenza-associated burden on patients and healthcare systems, which is exacerbated by comorbidities. Considering the size and breadth of the general population aged 18-64 years, the limited humanistic and economic findings of this SLR likely reflect an underreported burden. Greater investigation into indirect costs and prolonged absenteeism associated with influenza infection is required to fully understand the economic burden in this population.
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Affiliation(s)
| | - Verna Welch
- Pfizer Vaccines Medical and Scientific Affairs, Collegeville, PA, USA
| | | | - Alejandro Cane
- Pfizer Vaccines Medical and Scientific Affairs, Collegeville, PA, USA
| | - Jakob Langer
- Pfizer Global Access and Value, Lisbon, Portugal
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5
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Moyes J, Tempia S, Walaza S, McMorrow ML, Treurnicht F, Wolter N, von Gottberg A, Kahn K, Cohen AL, Dawood H, Variava E, Cohen C. The economic burden of RSV-associated illness in children aged < 5 years, South Africa 2011-2016. BMC Med 2023; 21:146. [PMID: 37055799 PMCID: PMC10099882 DOI: 10.1186/s12916-023-02854-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 03/29/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Data on the economic burden of RSV-associated illness will inform decisions on the programmatic implementation of maternal vaccines and monoclonal antibodies. We estimated the cost of RSV-associated illness in fine age bands to allow more accurate cost-effectiveness models to account for a limited duration of protection conferred by short- or long-acting interventions. METHODS We conducted a costing study at sentinel sites across South Africa to estimate out-of-pocket and indirect costs for RSV-associated mild and severe illness. We collected facility-specific costs for staffing, equipment, services, diagnostic tests, and treatment. Using case-based data we calculated a patient day equivalent (PDE) for RSV-associated hospitalizations or clinic visits; the PDE was multiplied by the number of days of care to provide a case cost to the healthcare system. We estimated the costs in 3-month age intervals in children aged < 1 year and as a single group for children aged 1-4 years. We then applied our data to a modified version of the World Health Organization tool for estimating the mean annual national cost burden, including medically and non-medically attended RSV-associated illness. RESULTS The estimated mean annual cost of RSV-associated illness in children aged < 5 years was US dollars ($)137,204,393, of which 76% ($111,742,713) were healthcare system incurred, 6% ($8,881,612) were out-of-pocket expenses and 13% ($28,225,.801) were indirect costs. Thirty-three percent ($45,652,677/$137,204,393) of the total cost in children aged < 5 years was in the < 3-month age group, of which 52% ($71,654,002/$137,204,393) were healthcare system incurred. The costs of non-medically attended cases increased with age from $3,307,218 in the < 3-month age group to $8,603,377 in the 9-11-month age group. CONCLUSIONS Among children < 5 years of age with RSV in South Africa, the highest cost burden was in the youngest infants; therefore, interventions against RSV targeting this age group are important to reduce the health and cost burden of RSV-associated illness.
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Affiliation(s)
- Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Stefano Tempia
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Florette Treurnicht
- Division of Virology, Faculty of Health Sciences, National Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Kathleen Kahn
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Epidemiology and Global Health Unit, Johannesburg, South Africa
| | - Adam L Cohen
- Division of Bacterial Diseases Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Halima Dawood
- Department of Medicine, Greys Hospital, Pietermaritzburg, South Africa
- Caprisa, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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6
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Moyes J, Tempia S, Walaza S, McMorrow ML, Treurnicht F, Wolter N, von Gottberg A, Kahn K, Cohen AL, Dawood H, Variava E, Cohen C. The burden of RSV-associated illness in children aged < 5 years, South Africa, 2011 to 2016. BMC Med 2023; 21:139. [PMID: 37038125 PMCID: PMC10088270 DOI: 10.1186/s12916-023-02853-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 03/27/2023] [Indexed: 04/12/2023] Open
Abstract
BACKGROUND Vaccines and monoclonal antibodies to protect the very young infant against the respiratory syncytial virus (RSV)-associated illness are effective for limited time periods. We aimed to estimate age-specific burden to guide implementation strategies and cost-effectiveness analyses. METHODS We combined case-based surveillance and ecological data to generate a national estimate of the burden of RSV-associated acute respiratory illness (ARI) and severe acute respiratory illness (SARI) in South African children aged < 5 years (2011-2016), including adjustment for attributable fraction. We estimated the RSV burden by month of life in the < 1-year age group, by 3-month intervals until 2 years, and then 12 monthly intervals to < 5 years for medically and non-medically attended illness. RESULTS We estimated a mean annual total (medically and non-medically attended) of 264,112 (95% confidence interval (CI) 134,357-437,187) cases of RSV-associated ARI and 96,220 (95% CI 66,470-132,844) cases of RSV-associated SARI (4.7% and 1.7% of the population aged < 5 years, respectively). RSV-associated ARI incidence was highest in 2-month-old infants (18,361/100,000 population, 95% CI 9336-28,466). The highest incidence of RSV-associated SARI was in the < 1-month age group 14,674/100,000 (95% CI 11,175-19,645). RSV-associated deaths were highest in the first and second month of life (110.8 (95% CI 74.8-144.5) and 111.3 (86.0-135.8), respectively). CONCLUSIONS Due to the high burden of RSV-associated illness, specifically SARI cases in young infants, maternal vaccination and monoclonal antibody products delivered at birth could prevent significant RSV-associated disease burden.
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Affiliation(s)
- Jocelyn Moyes
- Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Private Bag X4, Sandringham, 2131, Johannesburg, Gauteng, South Africa.
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Stefano Tempia
- Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Private Bag X4, Sandringham, 2131, Johannesburg, Gauteng, South Africa
| | - Sibongile Walaza
- Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Private Bag X4, Sandringham, 2131, Johannesburg, Gauteng, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Division of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Florette Treurnicht
- Division of Virology, Faculty of Health Sciences, National Health Laboratory Service, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
| | - Nicole Wolter
- Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Private Bag X4, Sandringham, 2131, Johannesburg, Gauteng, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Private Bag X4, Sandringham, 2131, Johannesburg, Gauteng, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Kathleen Kahn
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Epidemiology and Global Health Unit, Johannesburg, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, Pietermaritzburg, South Africa
- Caprisa, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Center for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Private Bag X4, Sandringham, 2131, Johannesburg, Gauteng, South Africa.
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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7
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Edoka I, Fraser H, Jamieson L, Meyer-Rath G, Mdewa W. Inpatient Care Costs of COVID-19 in South Africa's Public Healthcare System. Int J Health Policy Manag 2022; 11:1354-1361. [PMID: 33949817 PMCID: PMC9808349 DOI: 10.34172/ijhpm.2021.24] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 03/13/2021] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) has had a devastating impact globally, with severe health and economic consequences. To prepare health systems to deal with the pandemic, epidemiological and cost projection models are required to inform budgets and efficient allocation of resources. This study estimates daily inpatient care costs of COVID-19 in South Africa, an important input into cost projection and economic evaluation models. METHODS We adopted a micro-costing approach, which involved the identification, measurement and valuation of resources used in the clinical management of COVID-19. We considered only direct medical costs for an episode of hospitalisation from the South African public health system perspective. Resource quantities and unit costs were obtained from various sources. Inpatient costs per patient day was estimated for consumables, capital equipment and human resources for three levels of inpatient care - general wards, high care wards and intensive care units (ICUs). RESULTS Average daily costs per patient increased with the level of care. The highest average daily cost was estimated for ICU admissions - 271 USD to 306 USD (financial costs) and ~800 USD to 830 USD (economic costs, excluding facility fee) depending on the need for invasive vs. non-invasive ventilation (NIV). Conversely, the lowest cost was estimated for general ward-based care - 62 USD to 79 USD (financial costs) and 119 USD to 278 USD (economic costs, excluding facility fees) depending on the need for supplemental oxygen. In high care wards, total cost was estimated at 156 USD, financial costs and 277 USD, economic costs (excluding facility fees). Probabilistic sensitivity analyses suggest our costs estimates are robust to uncertainty in cost inputs. CONCLUSION Our estimates of inpatient costs are useful for informing budgeting and planning processes and cost-effectiveness analysis in the South African context. However, these estimates can be adapted to inform policy decisions in other context.
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Affiliation(s)
- Ijeoma Edoka
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Heather Fraser
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lise Jamieson
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Gesine Meyer-Rath
- Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Health, School of Public Health, Boston University, Boston, MA, USA
| | - Winfrida Mdewa
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Zhang H, Ren X, Tian K, Yu J, Zhu A, Zhang L, Gao GF, Li Z. The Impact and Vaccination Coverage of Seasonal Influenza among Children Aged 6-59 Months in China in 2017-2018: An Internet Panel Survey. Vaccines (Basel) 2022; 10:vaccines10040630. [PMID: 35455379 PMCID: PMC9031834 DOI: 10.3390/vaccines10040630] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 04/02/2022] [Accepted: 04/12/2022] [Indexed: 02/05/2023] Open
Abstract
Seasonal influenza vaccination is highly recommended for 6-59-month-old children. To determine the impact of seasonal influenza and the factors affecting influenza vaccine uptake among children, we conducted an opt-in Internet panel survey of parents from 21 March 2018 to 1 April 2018. Overall, 40.5% (1913/4719) of children experienced influenza-like illness (ILI), 92.4% of parents sought medical care for children with ILI (outpatients: 61.2%, inpatients: 12.8%), 39.6% of parents preferred to take their sick child to a tertiary hospital, and 57.3% of family members requested leave to care for children with ILI. There was a median of three days of absenteeism (2, 5) per sick child, and 39.4% of children received the influenza vaccine during the 2017-2018 influenza season. Vaccine coverage among children aged 6-11 months and 48-59 months was lower than that among 12-47-month-old children. The top three reasons for not vaccinating were: the influenza vaccine was not recommended by healthcare workers (21.1%), no knowledge about the influenza vaccine (19.2%), and lack of confidence in the vaccine's effectiveness (14.3%). Our findings highlight the need for awareness about the severity of influenza, hygiene behavior, and effectiveness of the influenza vaccine among children and their family members in China.
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Affiliation(s)
- Hangjie Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100101, China;
- The Center for Disease Control and Prevention of Zhejiang Province, Hangzhou 310051, China
- Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing 100101, China; (K.T.); (L.Z.)
| | - Xiang Ren
- Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 100101, China; (X.R.); (J.Y.); (A.Z.)
| | - Keqing Tian
- Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing 100101, China; (K.T.); (L.Z.)
| | - Jianxing Yu
- Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 100101, China; (X.R.); (J.Y.); (A.Z.)
| | - Aiqing Zhu
- Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 100101, China; (X.R.); (J.Y.); (A.Z.)
| | - Lijie Zhang
- Chinese Field Epidemiology Training Program, Chinese Center for Disease Control and Prevention, Beijing 100101, China; (K.T.); (L.Z.)
| | - George Fu Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100101, China;
- Correspondence: (G.F.G.); (Z.L.); Tel.: +86-10-5890-0211 (G.F.G.); +86-10-5890-0547 (Z.L.)
| | - Zhongjie Li
- Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 100101, China; (X.R.); (J.Y.); (A.Z.)
- Correspondence: (G.F.G.); (Z.L.); Tel.: +86-10-5890-0211 (G.F.G.); +86-10-5890-0547 (Z.L.)
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Fraser H, Tombe-Mdewa W, Kohli-Lynch C, Hofman K, Tempia S, McMorrow M, Lambach P, Ramkrishna W, Cohen C, Hutubessy R, Edoka I. Costs of seasonal influenza vaccination in South Africa. Influenza Other Respir Viruses 2022; 16:873-880. [PMID: 35355414 PMCID: PMC9343325 DOI: 10.1111/irv.12987] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 03/13/2022] [Indexed: 11/30/2022] Open
Abstract
Background Influenza accounts for a substantial number of deaths and hospitalisations annually in South Africa. To address this disease burden, the South African National Department of Health introduced a trivalent inactivated influenza vaccination programme in 2010. Methods We adapted and populated the WHO Seasonal Influenza Immunization Costing Tool (WHO SIICT) with country‐specific data to estimate the cost of the influenza vaccination programme in South Africa. Data were obtained through key‐informant interviews at different levels of the health system and through a review of existing secondary data sources. Costs were estimated from a public provider perspective and expressed in 2018 prices. We conducted scenario analyses to assess the impact of different levels of programme expansion and the use of quadrivalent vaccines on total programme costs. Results Total financial and economic costs were estimated at approximately USD 2.93 million and USD 7.91 million, respectively, while financial and economic cost per person immunised was estimated at USD 3.29 and USD 8.88, respectively. Expanding the programme by 5% and 10% increased economic cost per person immunised to USD 9.36 and USD 9.52 in the two scenarios, respectively. Finally, replacing trivalent inactivated influenza vaccine (TIV) with quadrivalent vaccine increased financial and economic costs to USD 4.89 and USD 10.48 per person immunised, respectively. Conclusion We adapted the WHO SIICT and provide estimates of the total costs of the seasonal influenza vaccination programme in South Africa. These estimates provide a basis for planning future programme expansion and may serve as inputs for cost‐effectiveness analyses of seasonal influenza vaccination programmes.
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Affiliation(s)
- Heather Fraser
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Health Economics and Health Technology Assessment, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Winfrida Tombe-Mdewa
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ciaran Kohli-Lynch
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Karen Hofman
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,MassGenics, Duluth, Georgia, USA.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,US Public Health Service, Rockville, Maryland, USA
| | - Philipp Lambach
- Department of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland
| | - Wayne Ramkrishna
- Communicable Disease Cluster, National Department of Health, Pretoria, South Africa
| | - Cheryl Cohen
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Raymond Hutubessy
- Department of Immunization, Vaccines and Biologicals, World Health Organization, Geneva, Switzerland
| | - Ijeoma Edoka
- SAMRC Centre for Health Economics and Decision Science-PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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10
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Drobnik J, Pobrotyn P, Witczak IT, Antczak A, Susło R. Influenza as an important factor causing increased risk of patients' deaths, excessive morbidity and prolonged hospital stays. Arch Med Sci 2021; 19:941-951. [PMID: 37560729 PMCID: PMC10408030 DOI: 10.5114/aoms/138145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 05/24/2021] [Indexed: 08/11/2023] Open
Abstract
INTRODUCTION Influenza infection is associated with potential serious complications, increased hospitalization rates and a higher risk of death. MATERIAL AND METHODS A retrospective comparative analysis of selected indicators of hospitalization at the University Hospital in Wroclaw was conducted on patients with confirmed influenza infection and a control group during the 2018-2019 influenza season. The threshold for statistical significance of differences between the groups was set at p < 0.05. RESULTS The types of influenza viruses confirmed in the hospital patients were remarkably similar to those occurring in the general population in Poland. The largest numbers of influenza cases were observed at the departments related to internal medicine where patients with cardiac, lung and renal diseases were hospitalized. The risk of death among the patients with confirmed influenza infection was significantly higher than among the other patients. The highest risk of death was observed among the patients with confirmed influenza infection at the departments related to internal medicine. Considering patients from the entire hospital, the mean length of hospital stay for those with confirmed influenza was 2.13-fold longer than for those in the control group. Comparisons of the median, minimum and maximum lengths of hospitalization between the patients with confirmed influenza infection and the control group reveal even more distinct differences. CONCLUSIONS Significant differences in the selected indicators of hospitalization were observed between the patients with confirmed influenza infection and the control group; they are associated with serious social costs, such as prolonged hospital stay and a higher risk of death during hospitalization in Poland.
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Affiliation(s)
- Jarosław Drobnik
- Epidemiology and Health Education Division, Population Health Department, Health Sciences Faculty, Wrocław Medical University, Wroclaw, Poland
| | - Piotr Pobrotyn
- Management, University Clinical Hospital, Wroclaw, Poland
| | - Izabela T. Witczak
- Public Health Division, Population Health Department, Health Sciences Faculty, Wrocław Medical University, Wroclaw, Poland
| | - Adam Antczak
- Department of General and Oncological Pulmonology, Medical University of Lodz, Lodz, Poland
| | - Robert Susło
- Epidemiology and Health Education Division, Population Health Department, Health Sciences Faculty, Wrocław Medical University, Wroclaw, Poland
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11
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Cohen C, Kleynhans J, Moyes J, McMorrow ML, Treurnicht FK, Hellferscee O, Mathunjwa A, von Gottberg A, Wolter N, Martinson NA, Kahn K, Lebina L, Mothlaoleng K, Wafawanaka F, Gómez-Olivé FX, Mkhencele T, Mathee A, Piketh S, Language B, Tempia S. Asymptomatic transmission and high community burden of seasonal influenza in an urban and a rural community in South Africa, 2017-18 (PHIRST): a population cohort study. Lancet Glob Health 2021; 9:e863-e874. [PMID: 34019838 PMCID: PMC8262603 DOI: 10.1016/s2214-109x(21)00141-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 02/23/2021] [Accepted: 02/26/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Data on influenza community burden and transmission are important to plan interventions especially in resource-limited settings. However, data are limited, particularly from low-income and middle-income countries. We aimed to evaluate the community burden and transmission of influenza in a rural and an urban setting in South Africa. METHODS In this prospective cohort study approximately 50 households were selected sequentially from both a rural setting (Agincourt, Mpumalanga Province, South Africa; with a health and sociodemographic surveillance system) and an urban setting (Klerksdorp, Northwest Province, South Africa; using global positioning system data), enrolled, and followed up for 10 months in 2017 and 2018. Different households were enrolled in each year. Households of more than two individuals in which 80% or more of the occupants agreed to participate were included in the study. Nasopharyngeal swabs were collected twice per week from participating household members irrespective of symptoms and tested for influenza using real-time RT-PCR. The primary outcome was the incidence of influenza infection, defined as the number of real-time RT-PCR-positive episodes divided by the person-time under observation. Household cumulative infection risk (HCIR) was defined as the number of subsequent infections within a household following influenza introduction. FINDINGS 81 430 nasopharyngeal samples were collected from 1116 participants in 225 households (follow-up rate 88%). 917 (1%) tested positive for influenza; 178 (79%) of 225 households had one or more influenza-positive individual. The incidence of influenza infection was 43·6 (95% CI 39·8-47·7) per 100 person-seasons. 69 (17%) of 408 individuals who had one influenza infection had a repeat influenza infection during the same season. The incidence (67·4 per 100 person-seasons) and proportion with repeat infections (22 [23%] of 97 children) were highest in children younger than 5 years and decreased with increasing age (p<0·0001). Overall, 268 (56%) of 478 infections were symptomatic and 66 (14%) of 478 infections were medically attended. The overall HCIR was 10% (109 of 1088 exposed household members infected [95% CI 9-13%). Transmission (HCIR) from index cases was highest in participants aged 1-4 years (16%; 40 of 252 exposed household members) and individuals with two or more symptoms (17%; 68 of 396 exposed household members). Individuals with asymptomatic influenza transmitted infection to 29 (6%) of 509 household contacts. HIV infection, affecting 167 (16%) of 1075 individuals, was not associated with increased incidence or HCIR. INTERPRETATION Approximately half of influenza infections were symptomatic, with asymptomatic individuals transmitting influenza to 6% of household contacts. This suggests that strategies, such as quarantine and isolation, might be ineffective to control influenza. Vaccination of children, with the aim of reducing influenza transmission might be effective in African settings given the young population and high influenza burden. FUNDING US Centers for Disease Control and Prevention.
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Affiliation(s)
- Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
| | - Jackie Kleynhans
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Azwifarwi Mathunjwa
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Neil A Martinson
- Perinatal HIV Research Unit, South African Medical Research Council, Soweto Matlosana Collaborating Centre for HIV/AIDS and Tuberculosis, University of the Witwatersrand, Johannesburg, South Africa; Department of Science and Technology, National Research Foundations, Centre of Excellence for Biomedical Tuberculosis Research, University of the Witwatersrand, Johannesburg, South Africa; Center for Tuberculosis Research, Johns Hopkins University, Baltimore, MD, USA
| | - Kathleen Kahn
- South African Medical Research Council Rural Public Health and Health Transitions Research Unit (Agincourt), University of the Witwatersrand, Johannesburg, South Africa
| | - Limakatso Lebina
- Perinatal HIV Research Unit, South African Medical Research Council, Soweto Matlosana Collaborating Centre for HIV/AIDS and Tuberculosis, University of the Witwatersrand, Johannesburg, South Africa
| | - Katlego Mothlaoleng
- Perinatal HIV Research Unit, South African Medical Research Council, Soweto Matlosana Collaborating Centre for HIV/AIDS and Tuberculosis, University of the Witwatersrand, Johannesburg, South Africa
| | - Floidy Wafawanaka
- South African Medical Research Council Rural Public Health and Health Transitions Research Unit (Agincourt), University of the Witwatersrand, Johannesburg, South Africa
| | - Francesc Xavier Gómez-Olivé
- South African Medical Research Council Rural Public Health and Health Transitions Research Unit (Agincourt), University of the Witwatersrand, Johannesburg, South Africa
| | - Thulisa Mkhencele
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Angela Mathee
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa
| | - Stuart Piketh
- Unit for Environmental Science and Management, Climatology Research Group, North-West University, Potchefstroom, South Africa
| | - Brigitte Language
- Unit for Environmental Science and Management, Climatology Research Group, North-West University, Potchefstroom, South Africa
| | - Stefano Tempia
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; MassGenics, Duluth, GA, USA
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12
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Cheong CW, Chen CL, Li CH, Seak CJ, Tseng HJ, Hsu KH, Ng CJ, Chien CY. Two-stage prediction model for in-hospital mortality of patients with influenza infection. BMC Infect Dis 2021; 21:451. [PMID: 34011298 PMCID: PMC8131882 DOI: 10.1186/s12879-021-06169-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 05/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Infleunza is a challenging issue in public health. The mortality and morbidity associated with epidemic and pandemic influenza puts a heavy burden on health care system. Most patients with influenza can be treated on an outpatient basis but some required critical care. It is crucial for frontline physicians to stratify influenza patients by level of risk. Therefore, this study aimed to create a prediction model for critical care and in-hospital mortality. METHODS This retrospective cohort study extracted data from the Chang Gung Research Database. This study included the patients who were diagnosed with influenza between 2010 and 2016. The primary outcome of this study was critical illness. The secondary analysis was to predict in-hospital mortality. A two-stage-modeling method was developed to predict hospital mortality. We constructed a multiple logistic regression model to predict the outcome of critical illness in the first stage, then S1 score were calculated. In the second stage, we used the S1 score and other data to construct a backward multiple logistic regression model. The area under the receiver operating curve was used to assess the predictive value of the model. RESULTS In the present study, 1680 patients met the inclusion criteria. The overall ICU admission and in-hospital mortality was 10.36% (174 patients) and 4.29% (72 patients), respectively. In stage I analysis, hypothermia (OR = 1.92), tachypnea (OR = 4.94), lower systolic blood pressure (OR = 2.35), diabetes mellitus (OR = 1.87), leukocytosis (OR = 2.22), leukopenia (OR = 2.70), and a high percentage of segmented neutrophils (OR = 2.10) were associated with ICU admission. Bandemia had the highest odds ratio in the Stage I model (OR = 5.43). In stage II analysis, C-reactive protein (OR = 1.01), blood urea nitrogen (OR = 1.02) and stage I model's S1 score were assocaited with in-hospital mortality. The area under the curve for the stage I and II model was 0.889 and 0.766, respectively. CONCLUSIONS The two-stage model is a efficient risk-stratification tool for predicting critical illness and mortailty. The model may be an optional tool other than qSOFA and SIRS criteria.
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Affiliation(s)
- Chan-Wa Cheong
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chien-Lin Chen
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City, Taiwan
| | - Chih-Huang Li
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chen-June Seak
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City, Taiwan
| | - Hsiao-Jung Tseng
- Biostatistical Unit, Clinical Trial Center, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Kuang-Hung Hsu
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Laboratory for Epidemiology, Chang Gung University, Kwei-Shan, Taiwan
| | - Chip-Jin Ng
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Cheng-Yu Chien
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Linkou and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Department of Emergency Medicine, Ton-Yen General Hospital, Zhubei, Taiwan.
- Graduate Institute of Business and Management, Chang Gung University, Kwei-Shan, Taiwan.
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13
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Kraigsley AM, Moore KA, Bolster A, Peters M, Richardson D, Arpey M, Sonnenberger M, McCarron M, Lambach P, Maltezou HC, Bresee JS. Barriers and activities to implementing or expanding influenza vaccination programs in low- and middle-income countries: A global survey. Vaccine 2021; 39:3419-3427. [PMID: 33992439 DOI: 10.1016/j.vaccine.2021.04.043] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 04/02/2021] [Accepted: 04/21/2021] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Despite considerable global burden of influenza, few low- and middle-income countries (LMICs) have national influenza vaccination programs. This report provides a systematic assessment of barriers to and activities that support initiating or expanding influenza vaccination programs from the perspective of in-country public health officials. METHODS Public health officials in LMICs were sent a web-based survey to provide information on barriers and activities to initiating, expanding, or maintaining national influenza vaccination programs. The survey primarily included Likert-scale questions asking respondents to rank barriers and activities in five categories. RESULTS Of 109 eligible countries, 62% participated. Barriers to influenza vaccination programs included lack of data on cost-effectiveness of influenza vaccination programs (87%) and on influenza disease burden (84%), competing health priorities (80%), lack of public perceived risk from influenza (79%), need for better risk communication tools (77%), lack of financial support for influenza vaccine programs (75%), a requirement to use only WHO-prequalified vaccines (62%), and young children require two vaccine doses (60%). Activities for advancing influenza vaccination programs included educating healthcare workers (97%) and decision-makers (91%) on the benefits of influenza vaccination, better estimates of influenza disease burden (91%) and cost of influenza vaccination programs (89%), simplifying vaccine introduction by focusing on selected high-risk groups (82%), developing tools to prioritize target populations (80%), improving availability of influenza diagnostic testing (79%), and developing collaborations with neighboring countries for vaccine procurement (74%) and regulatory approval (73%). Responses varied by country region and income status. CONCLUSIONS Local governments and key international stakeholders can use the results of this survey to improve influenza vaccination programs in LMICs, which is a critical component of global pandemic preparedness for influenza and other pathogens such as coronaviruses. Additionally, strategies to improve global influenza vaccination coverage should be tailored to country income level and geographic location.
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Affiliation(s)
- Alison M Kraigsley
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA.
| | - Kristine A Moore
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | | | - Maya Peters
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | | | - Meredith Arpey
- Center for Infectious Disease Research and Policy (CIDRAP), University of Minnesota, Minneapolis, MN, USA
| | - Michelle Sonnenberger
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | | | - Helena C Maltezou
- Directorate of Research, Studies and Documentation, National Public Health Organization, Athens, Greece
| | - Joseph S Bresee
- The Task Force for Global Health, Atlanta, GA, USA; Centers for Disease Control and Prevention, Atlanta, GA, USA
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14
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Lagare A, Rajatonirina S, Testa J, Mamadou S. The epidemiology of seasonal influenza after the 2009 influenza pandemic in Africa: a systematic review. Afr Health Sci 2020; 20:1514-1536. [PMID: 34394213 PMCID: PMC8351825 DOI: 10.4314/ahs.v20i4.5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Background Influenza infection is a serious public health problem that causes an estimated 3 to 5 million cases and 250,000 deaths worldwide every year. The epidemiology of influenza is well-documented in high- and middle-income countries, however minimal effort had been made to understand the epidemiology, burden and seasonality of influenza in Africa. This study aims to assess the state of knowledge of seasonal influenza epidemiology in Africa and identify potential data gaps for policy formulation following the 2009 pandemic. Method We reviewed articles from Africa published into four databases namely: MEDLINE (PubMed), Google Scholar, Cochrane Library and Scientific Research Publishing from 2010 to 2019. Results We screened titles and abstracts of 2070 studies of which 311 were selected for full content evaluation and 199 studies were considered. Selected articles varied substantially on the basis of the topics they addressed covering the field of influenza surveillance (n=80); influenza risk factors and co-morbidities (n=15); influenza burden (n=37); influenza vaccination (n=40); influenza and other respiratory pathogens (n=22) and influenza diagnosis (n=5). Conclusion Significant progress has been made since the last pandemic in understanding the influenza epidemiology in Africa. However, efforts still remain for most countries to have sufficient data to allow countries to prioritize strategies for influenza prevention and control.
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Affiliation(s)
- Adamou Lagare
- Centre de Recherche Médicale et Sanitaire (CERMES), Niamey, Niger
| | | | - Jean Testa
- Centre de Recherche Médicale et Sanitaire (CERMES), Niamey, Niger
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15
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Edoka I, Kohli-Lynch C, Fraser H, Hofman K, Tempia S, McMorrow M, Ramkrishna W, Lambach P, Hutubessy R, Cohen C. A cost-effectiveness analysis of South Africa's seasonal influenza vaccination programme. Vaccine 2020; 39:412-422. [PMID: 33272702 DOI: 10.1016/j.vaccine.2020.11.028] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 10/02/2020] [Accepted: 11/09/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Seasonal influenza imposes a significant health and economic burden in South Africa, particularly in populations vulnerable to severe consequences of influenza. This study assesses the cost-effectiveness of South Africa's seasonal influenza vaccination strategy, which involves vaccinating vulnerable populations with trivalent inactivated influenza vaccine (TIV) during routine facility visits. Vulnerable populations included in our analysis are persons aged ≥ 65 years; pregnant women; persons living with HIV/AIDS (PLWHA), persons of any age with underlying medical conditions (UMC) and children aged 6-59 months. METHOD We employed the World Health Organisation's (WHO) Cost Effectiveness Tool for Seasonal Influenza Vaccination (CETSIV), a decision tree model, to evaluate the 2018 seasonal influenza vaccination campaign from a public healthcare provider and societal perspective. CETSIV was populated with existing country-specific demographic, epidemiologic and coverage data to estimate incremental cost-effectiveness ratios (ICERs) by comparing costs and benefits of the influenza vaccination programme to no vaccination. RESULTS The highest number of clinical events (influenza cases, outpatient visits, hospitalisation and deaths) were averted in PLWHA and persons with other UMCs. Using a cost-effectiveness threshold of US$ 3400 per quality-adjusted life year (QALY), our findings suggest that the vaccination programme is cost-effective for all vulnerable populations except for children aged 6-59 months. ICERs ranged from ~US$ 1 750 /QALY in PLWHA to ~US$ 7500/QALY in children. In probabilistic sensitivity analyses, the vaccination programme was cost-effective in pregnant women, PLWHA, persons with UMCs and persons aged ≥65 years in >80% of simulations. These findings were robust to changes in many model inputs but were most sensitive to uncertainty in estimates of influenza-associated illness burden. CONCLUSION South Africa's seasonal influenza vaccination strategy of opportunistically targeting vulnerable populations during routine visits is cost-effective. A budget impact analysis will be useful for supporting future expansions of the programme.
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Affiliation(s)
- Ijeoma Edoka
- SAMRC Centre for Health Economics and Decision Science - PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Ciaran Kohli-Lynch
- SAMRC Centre for Health Economics and Decision Science - PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Heather Fraser
- SAMRC Centre for Health Economics and Decision Science - PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Karen Hofman
- SAMRC Centre for Health Economics and Decision Science - PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; MassGenics, Duluth, GA, USA; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; US Public Health Service, Rockville, MD, USA
| | - Wayne Ramkrishna
- Communicable Disease Cluster, National Department of Health, South Africa
| | - Philipp Lambach
- Department of Immunization, Vaccines and Biologicals, Initiative for Vaccine Research, World Health Organization, Geneva, Switzerland
| | - Raymond Hutubessy
- Department of Immunization, Vaccines and Biologicals, Initiative for Vaccine Research, World Health Organization, Geneva, Switzerland
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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16
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Igboh LS, McMorrow M, Tempia S, Emukule GO, Talla Nzussouo N, McCarron M, Williams T, Weatherspoon V, Moen A, Fawzi D, Njouom R, Nakoune E, Dauoda C, Kavunga-Membo H, Okeyo M, Heraud JM, Mambule IK, Sow SO, Tivane A, Lagare A, Adebayo A, Dia N, Mmbaga V, Maman I, Lutwama J, Simusika P, Walaza S, Mangtani P, Nguipdop-Djomo P, Cohen C, Azziz-Baumgartner E. Influenza surveillance capacity improvements in Africa during 2011-2017. Influenza Other Respir Viruses 2020; 15:495-505. [PMID: 33150650 PMCID: PMC8189239 DOI: 10.1111/irv.12818] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/06/2020] [Indexed: 12/14/2022] Open
Abstract
Background Influenza surveillance helps time prevention and control interventions especially where complex seasonal patterns exist. We assessed influenza surveillance sustainability in Africa where influenza activity varies and external funds for surveillance have decreased. Methods We surveyed African Network for Influenza Surveillance and Epidemiology (ANISE) countries about 2011‐2017 surveillance system characteristics. Data were summarized with descriptive statistics and analyzed with univariate and multivariable analyses to quantify sustained or expanded influenza surveillance capacity in Africa. Results Eighteen (75%) of 24 ANISE members participated in the survey; their cumulative population of 710 751 471 represent 56% of Africa's total population. All 18 countries scored a mean 95% on WHO laboratory quality assurance panels. The number of samples collected from severe acute respiratory infection case‐patients remained consistent between 2011 and 2017 (13 823 vs 13 674 respectively) but decreased by 12% for influenza‐like illness case‐patients (16 210 vs 14 477). Nine (50%) gained capacity to lineage‐type influenza B. The number of countries reporting each week to WHO FluNet increased from 15 (83%) in 2011 to 17 (94%) in 2017. Conclusions Despite declines in external surveillance funding, ANISE countries gained additional laboratory testing capacity and continued influenza testing and reporting to WHO. These gains represent important achievements toward sustainable surveillance and epidemic/pandemic preparedness.
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Affiliation(s)
- Ledor S Igboh
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,London School of Hygiene and Tropical Medicine, London, UK
| | - Meredith McMorrow
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Stefano Tempia
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,MassGenics, Atlanta, GA, USA.,National Influenza Center, Johannesburg, South Africa
| | | | - Ndahwouh Talla Nzussouo
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.,MassGenics, Atlanta, GA, USA.,Centers for Disease Control and Prevention, Accra, Ghana
| | - Margaret McCarron
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Thelma Williams
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Vashonia Weatherspoon
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ann Moen
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | | | - Coulibaly Dauoda
- National Institute Public Hygiene/Ministry of Health, Abidjan, Cote d'Ivoire
| | - Hugo Kavunga-Membo
- Institut National de Recherche Bio-medicale, Kinshasa, Democratic Republic of Congo
| | - Mary Okeyo
- National Public Health Institute, Nairobi, Kenya
| | - Jean-Michel Heraud
- Virology Unit, National Influenza Centre, Institute Pasteur de Madagascar, Antananarivo, Madagascar
| | | | - Samba Ousmane Sow
- Central National Influenza Laboratory/Ministry of Health, Bamako, Mali
| | | | - Adamou Lagare
- Center de Recherche Medicale et Sanitaire, Niamey, Niger
| | | | - Ndongo Dia
- Institut Pasteur de Dakar, Dakar, Senegal
| | - Vida Mmbaga
- National Reference Laboratory, Dar es Salaam, Tanzania
| | - Issaka Maman
- National Influenza Reference Laboratory, Lome, Togo
| | | | - Paul Simusika
- National Influenza Center, University of Zambia Teaching Hospital, Lusaka, Zambia
| | - Sibongile Walaza
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,National Influenza Center, Johannesburg, South Africa.,Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Punam Mangtani
- London School of Hygiene and Tropical Medicine, London, UK
| | | | - Cheryl Cohen
- School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.,National Influenza Center, Johannesburg, South Africa.,Centre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Eduardo Azziz-Baumgartner
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
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Tempia S, Moyes J, Cohen AL, Walaza S, McMorrow ML, Edoka I, Fraser H, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, McAnerney JM, Dawood H, Variava E, Cohen C. Influenza economic burden among potential target risk groups for immunization in South Africa, 2013-2015. Vaccine 2020; 38:7007-7014. [PMID: 32980198 DOI: 10.1016/j.vaccine.2020.09.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 09/10/2020] [Accepted: 09/11/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND Data on influenza economic burden in risk groups for severe influenza are important to guide targeted influenza immunization, especially in resource-limited settings. However, this information is limited in low- and middle-income countries. METHODS We estimated the cost (from a health system and societal perspective) and years of life lost (YLL) for influenza-associated illness in South Africa during 2013-2015 among (i) children aged 6-59 months, (ii) individuals aged 5-64 years with HIV, pulmonary tuberculosis (PTB) and selected underlying medical conditions (UMC), separately, (iii) pregnant women and (iv) individuals aged ≥65 years, using publicly available data and data collected through laboratory-confirmed influenza surveillance and costing studies. All costs were expressed in 2015 prices using the South Africa all-items Consumer Price Index. RESULTS During 2013-2015, the mean annual cost of influenza-associated illness among the selected risk groups accounted for 52.1% ($140.9/$270.5 million) of the total influenza-associated illness cost (for the entire population of South Africa), 45.2% ($52.2/$115.5 million) of non-medically attended illness costs, 43.3% ($46.7/$107.9 million) of medically-attended mild illness costs and 89.3% ($42.0/$47.1 million) of medically-attended severe illness costs. The YLL among the selected risk groups accounted for 86.0% (262,069 /304,867 years) of the total YLL due to influenza-associated death. CONCLUSION In South Africa, individuals in risk groups for severe influenza accounted for approximately half of the total influenza-associated illness cost but most of the cost of influenza-associated medically attended severe illness and YLL. This study provides the foundation for future studies on the cost-effectiveness of influenza immunization among risk groups.
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Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; MassGenics, Duluth, Georgia, Unites States of America; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Ijeoma Edoka
- South Africa Medical Research Council/Wits Centre for Health Economic and Decision Science - PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Heather Fraser
- South Africa Medical Research Council/Wits Centre for Health Economic and Decision Science - PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Johanna M McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Greys Hospital, Pietermaritzburg, South Africa; Caprisa, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa; Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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Dawa J, Emukule GO, Barasa E, Widdowson MA, Anzala O, van Leeuwen E, Baguelin M, Chaves SS, Eggo RM. Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling. BMC Med 2020; 18:223. [PMID: 32814581 PMCID: PMC7438179 DOI: 10.1186/s12916-020-01687-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 06/29/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND There is substantial burden of seasonal influenza in Kenya, which led the government to consider introducing a national influenza vaccination programme. Given the cost implications of a nationwide programme, local economic evaluation data are needed to inform policy on the design and benefits of influenza vaccination. We set out to estimate the cost-effectiveness of seasonal influenza vaccination in Kenya. METHODS We fitted an age-stratified dynamic transmission model to active surveillance data from patients with influenza from 2010 to 2018. Using a societal perspective, we developed a decision tree cost-effectiveness model and estimated the incremental cost-effectiveness ratio (ICER) per disability-adjusted life year (DALY) averted for three vaccine target groups: children 6-23 months (strategy I), 2-5 years (strategy II) and 6-14 years (strategy III) with either the Southern Hemisphere influenza vaccine (Strategy A) or Northern Hemisphere vaccine (Strategy B) or both (Strategy C: twice yearly vaccination campaigns, or Strategy D: year-round vaccination campaigns). We assessed cost-effectiveness by calculating incremental net monetary benefits (INMB) using a willingness-to-pay (WTP) threshold of 1-51% of the annual gross domestic product per capita ($17-$872). RESULTS The mean number of infections across all ages was 2-15 million per year. When vaccination was well timed to influenza activity, the annual mean ICER per DALY averted for vaccinating children 6-23 months ranged between $749 and $1385 for strategy IA, $442 and $1877 for strategy IB, $678 and $4106 for strategy IC and $1147 and $7933 for strategy ID. For children 2-5 years, it ranged between $945 and $1573 for strategy IIA, $563 and $1869 for strategy IIB, $662 and $4085 for strategy IIC, and $1169 and $7897 for strategy IID. For children 6-14 years, it ranged between $923 and $3116 for strategy IIIA, $1005 and $2223 for strategy IIIB, $883 and $4727 for strategy IIIC and $1467 and $6813 for strategy IIID. Overall, no vaccination strategy was cost-effective at the minimum ($17) and median ($445) WTP thresholds. Vaccinating children 6-23 months once a year had the highest mean INMB value at $872 (WTP threshold upper limit); however, this strategy had very low probability of the highest net benefit. CONCLUSION Vaccinating children 6-23 months once a year was the most favourable vaccination option; however, the strategy is unlikely to be cost-effective given the current WTP thresholds.
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Affiliation(s)
- Jeanette Dawa
- KAVI-Institute of Clinical Research, College of Health Sciences, University of Nairobi, Nairobi, Kenya.
- Washington State University Global Health Programs Kenya Office, Nairobi, Kenya.
| | - Gideon O Emukule
- Influenza Program, Centers for Disease Control and Prevention, Nairobi, Kenya
| | - Edwine Barasa
- Health Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Kenya
- Center for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Marc Alain Widdowson
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Nairobi, Kenya
- Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Omu Anzala
- KAVI-Institute of Clinical Research, College of Health Sciences, University of Nairobi, Nairobi, Kenya
| | | | - Marc Baguelin
- London School of Hygiene & Tropical Medicine, London, UK
- Imperial College London, London, UK
| | - Sandra S Chaves
- Influenza Program, Centers for Disease Control and Prevention, Nairobi, Kenya
- Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, GA, USA
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Bataglia GM, Machado CJ. Brown J. Influenza: The Hundred Year Hunt to Cure the Deadliest Disease in History. Nova York: Atria Books; 2018. CIENCIA & SAUDE COLETIVA 2020. [DOI: 10.1590/1413-81232020257.25602019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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20
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Tempia S, Walaza S, Moyes J, McMorrow ML, Cohen AL, Edoka I, Fraser H, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, McAnerney JM, Dawood H, Variava E, Cohen C. Influenza disease burden among potential target risk groups for immunization in South Africa, 2013-2015. Vaccine 2020; 38:4288-4297. [PMID: 32389494 DOI: 10.1016/j.vaccine.2020.04.045] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Revised: 04/17/2020] [Accepted: 04/18/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND Data on influenza burden in risk groups for severe influenza are important to guide targeted influenza immunization, especially in resource limited settings. However, this information is limited overall and in particular in low- and middle-income countries. We sought to assess the mean annual national burden of medically and non-medically attended influenza-associated mild, severe-non-fatal and fatal illness among potential target groups for influenza immunization in South Africa during 2013-2015. METHODS We used published mean national annual estimates of mild, severe-non-fatal, and fatal influenza-associated illness in South Africa during 2013-2015 and estimated the number of such illnesses occurring among the following risk groups: (i) children aged 6-59 months; (ii) individuals aged 5-64 years with HIV, and/or pulmonary tuberculosis (PTB), and/or selected underlying medical conditions (UMC); (iii) pregnant women; and (iv) individuals aged ≥65 years. We also estimated the number of individuals among the same risk groups in the population. RESULTS During 2013-2015, individuals in the selected risk groups accounted for 45.3% (24,569,328/54,086,144) of the population and 43.5% (4,614,763/10,598,138), 86.8% (111,245/128,173) and 94.5% (10,903/11,536) of the mean annual estimated number of influenza-associated mild, severe-non-fatal and fatal illness episodes, respectively. The rates of influenza-associated illness were highest in children aged 6-59 months (23,983 per 100,000 population) for mild illness, in pregnant women (930 per 100,000 population) for severe-non-fatal illness and in individuals aged ≥65 years (138 per 100,000 population) for fatal illness. CONCLUSION Influenza immunization of the selected risk groups has the potential to prevent a substantial number of influenza-associated severe illness. Nonetheless, because of the high number of individuals at risk, South Africa, due to financial resources constrains, may need to further prioritize interventions among risk populations. Cost-burden and cost-effectiveness estimates may assist with further prioritization.
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Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; MassGenics, Duluth, GA, United States.
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, United States; Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Ijeoma Edoka
- South Africa Medical Research Council/Wits Centre for Health Economics and Decision Science, PRICELESS SA, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburga South Africa
| | - Heather Fraser
- South Africa Medical Research Council/Wits Centre for Health Economics and Decision Science, PRICELESS SA, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburga South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Johanna M McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Pietermaritzburg Metropolitan Hospital, Pietermaritzburg, South Africa; Department of Medicine, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa; Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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Laure M, Hamza H, Koch-Heier J, Quernheim M, Müller C, Schreiber A, Müller G, Pleschka S, Ludwig S, Planz O. Antiviral efficacy against influenza virus and pharmacokinetic analysis of a novel MEK-inhibitor, ATR-002, in cell culture and in the mouse model. Antiviral Res 2020; 178:104806. [PMID: 32304723 DOI: 10.1016/j.antiviral.2020.104806] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 04/10/2020] [Accepted: 04/13/2020] [Indexed: 10/24/2022]
Abstract
Antiviral therapies against influenza are required, especially for high-risk patients, severe influenza and in case of highly pathogenic influenza virus (IV) strains. However, currently, licensed drugs that target the virus directly are not very effective and often lead to the development of resistant IV variants. This may be overcome by targeting host cell factors that are required for IV propagation. IV induces a variety of host cell signaling cascades, such as the Raf/MEK/ERK kinase pathway. The activation of this pathway is necessary for IV propagation. MEK-inhibitors block the activation of the pathway on the bottleneck of the signaling cascade leading to impaired virus propagation. In the present study, we aimed to compare the antiviral potency and bioavailability of the MEK-inhibitor CI-1040 versus its major active metabolite ATR-002, in vitro as well as in the mouse model. In cell culture assays, an approximately 10-fold higher concentration of ATR-002 is required to generate the same antiviral activity as for CI-1040. Interestingly, we observed that considerably lower concentrations of ATR-002 were required to achieve a reduction of the viral load in vivo. Pharmacokinetic studies with ATR-002 and CI-1040 in mice have found the Cmax and AUC to be far higher for ATR-002 than for CI-1040. Our results thereby demonstrate the in vivo superiority of the active metabolite ATR-002 over CI-1040 as an antiviral agent despite its weaker cell membrane permeability. Therefore, ATR-002 is an attractive candidate for development as an efficient antiviral agent, especially given the fact that a treatment based on cellular pathway inhibition would be far less likely to lead to viral drug resistance.
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Affiliation(s)
- Martin Laure
- Interfaculty Institute for Cell Biology, Department of Immunology, Eberhard Karls University, Tübingen, Germany; Atriva Therapeutics GmbH, Christophstr. 32, 72072, Tübingen, Germany
| | - Hazem Hamza
- Interfaculty Institute for Cell Biology, Department of Immunology, Eberhard Karls University, Tübingen, Germany; Atriva Therapeutics GmbH, Christophstr. 32, 72072, Tübingen, Germany; Virology Laboratory, Environmental Research Division, National Research Centre, Cairo, Egypt
| | - Julia Koch-Heier
- Interfaculty Institute for Cell Biology, Department of Immunology, Eberhard Karls University, Tübingen, Germany; Atriva Therapeutics GmbH, Christophstr. 32, 72072, Tübingen, Germany
| | - Martin Quernheim
- Chemcon GmbH, Engesserstr. 4B, 79108, Freiburg I. Brsg., Germany
| | - Christin Müller
- Institute of Medical Virology, Justus Liebig University, Giessen, Germany
| | - Andre Schreiber
- Institute of Virology, Westfaelische Wilhelms-University, Muenster, Germany
| | | | - Stephan Pleschka
- Institute of Medical Virology, Justus Liebig University, Giessen, Germany
| | - Stephan Ludwig
- Institute of Virology, Westfaelische Wilhelms-University, Muenster, Germany
| | - Oliver Planz
- Interfaculty Institute for Cell Biology, Department of Immunology, Eberhard Karls University, Tübingen, Germany; Atriva Therapeutics GmbH, Christophstr. 32, 72072, Tübingen, Germany.
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22
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Nkosi V, Haman T, Naicker N, Mathee A. Overcrowding and health in two impoverished suburbs of Johannesburg, South Africa. BMC Public Health 2019; 19:1358. [PMID: 31651269 PMCID: PMC6813127 DOI: 10.1186/s12889-019-7665-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 09/20/2019] [Indexed: 01/03/2023] Open
Abstract
Background Rapid urbanization, unmatched by an associated supply of housing, has resulted in overcrowding in the cities of many developing countries, including in Johannesburg, South Africa. Household overcrowding has been associated with a range of ill-health outcomes, including acute respiratory infections and diarrhoeal diseases. The aim of this study was to describe the levels of household crowding, and examine associations with respiratory and gastrointestinal symptoms in selected two low-income neighbourhoods in Johannesburg. Methods Questionnaire data from a panel study conducted over an 11-year period between 2006 and 2016 were extracted to conduct the analyses. Structured questionnaires, designed to collect information on housing conditions, socio-economic and health status were administered to adult representatives of households occupying the primary dwelling on pre-selected study sites. Results Over the 11-year study period, levels of overcrowding remained unchanged. Around 57.6% of dwellings in the study neighbourhoods were determined to be overcrowded in relation to international guidelines. Results from the multiple logistic regression analyses indicated that crowded dwellings were associated with elevated levels of acute respiratory and gastrointestinal symptoms, as well as fever/chills. Conclusion Respondent perceptions varied from objective measures of overcrowding. Crowded dwellings were associated with elevated reports of acute respiratory and gastrointestinal symptoms, as well as fever/chills.
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Affiliation(s)
- Vusumuzi Nkosi
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, 2094, South Africa. .,School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, 0001, South Africa. .,Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Cnr Sherwell and Beit Street, Health Clinic building, 2nd Floor, Doornfontein Campus, Doornfontein, Johannesburg, 2094, South Africa.
| | - Tanya Haman
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, 2094, South Africa.,Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Cnr Sherwell and Beit Street, Health Clinic building, 2nd Floor, Doornfontein Campus, Doornfontein, Johannesburg, 2094, South Africa
| | - Nisha Naicker
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, 2094, South Africa.,Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Cnr Sherwell and Beit Street, Health Clinic building, 2nd Floor, Doornfontein Campus, Doornfontein, Johannesburg, 2094, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2094, South Africa.,National Institute for Occupational Health, National Health Laboratory Services, Johannesburg, 2094, South Africa
| | - Angela Mathee
- Environment and Health Research Unit, South African Medical Research Council, Johannesburg, 2094, South Africa.,Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Cnr Sherwell and Beit Street, Health Clinic building, 2nd Floor, Doornfontein Campus, Doornfontein, Johannesburg, 2094, South Africa.,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2094, South Africa
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23
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Tempia S, Moyes J, Cohen AL, Walaza S, Edoka I, McMorrow ML, Treurnicht FK, Hellferscee O, Wolter N, von Gottberg A, Nguweneza A, McAnerney JM, Dawood H, Variava E, Cohen C. Health and economic burden of influenza-associated illness in South Africa, 2013-2015. Influenza Other Respir Viruses 2019; 13:484-495. [PMID: 31187609 PMCID: PMC6692552 DOI: 10.1111/irv.12650] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 05/10/2019] [Accepted: 05/10/2019] [Indexed: 01/01/2023] Open
Abstract
Background Economic burden estimates are essential to guide policy‐making for influenza vaccination, especially in resource‐limited settings. Methods We estimated the cost, absenteeism, and years of life lost (YLL) of medically and non‐medically attended influenza‐associated mild and severe respiratory, circulatory and non‐respiratory/non‐circulatory illness in South Africa during 2013‐2015 using a modified version of the World Health Organization (WHO) worksheet based tool for estimating the economic burden of seasonal influenza. Additionally, we restricted the analysis to influenza‐associated severe acute respiratory illness (SARI) and influenza‐like illness (ILI; subsets of all‐respiratory illnesses) as suggested in the WHO manual. Results The estimated mean annual cost of influenza‐associated illness was $270.5 million, of which $111.3 million (41%) were government‐incurred costs, 40.7 million (15%) were out‐of‐pocket expenses, and $118.4 million (44%) were indirect costs. The cost of influenza‐associated medically attended mild illness ($107.9 million) was 2.3 times higher than that of severe illness ($47.1 million). Influenza‐associated respiratory illness costs ($251.4 million) accounted for 93% of the total cost. Estimated absenteeism and YLL were 13.2 million days and 304 867 years, respectively. Among patients with influenza‐associated WHO‐defined ILI or SARI, the costs ($95.3 million), absenteeism (4.5 million days), and YLL (65 697) were 35%, 34%, and 21% of the total economic and health burden of influenza. Conclusion The economic burden of influenza‐associated illness was substantial from both a government and a societal perspective. Models that limit estimates to those obtained from patients with WHO‐defined ILI or SARI substantially underestimated the total economic and health burden of influenza‐associated illness.
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Affiliation(s)
- Stefano Tempia
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,MassGenics, Duluth, Georgia
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Adam L Cohen
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,Expanded Programme on Immunization, Department of Immunization, Vaccines and Biological, World Health Organization, Geneva, Switzerland
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Ijeoma Edoka
- Priority Cost Effectiveness Lessons for System Strengthening South Africa, South Africa Medical Research Council, Wits Center for Health Economic and Decision Science, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa
| | - Florette K Treurnicht
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Orienka Hellferscee
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Faculty of Health Sciences, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Faculty of Health Sciences, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Faculty of Health Sciences, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Athermon Nguweneza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Johanna M McAnerney
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
| | - Halima Dawood
- Department of Medicine, Greys Hospital, Pietermaritzburg, South Africa.,Caprisa, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Ebrahim Variava
- Department of Medicine, Klerksdorp-Tshepong Hospital Complex, Klerksdorp, South Africa.,Faculty of Health Sciences, Department of Medicine, University of the Witwatersrand, Johannesburg, South Africa.,Perinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
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