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Hermida N, Ferguson M, Leroux-Roels I, Pagnussat S, Yaplee D, Hua N, van den Steen P, Anspach B, Dieussaert I, Kim JH. Safety and Immunogenicity of Respiratory Syncytial Virus Prefusion Maternal Vaccine Coadministered With Diphtheria-Tetanus-Pertussis Vaccine: A Phase 2 Study. J Infect Dis 2024; 230:e353-e362. [PMID: 38133639 PMCID: PMC11326842 DOI: 10.1093/infdis/jiad560] [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: 05/17/2023] [Revised: 11/14/2023] [Accepted: 12/04/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Respiratory syncytial virus (RSV) fusion protein stabilized in the prefusion conformation (RSVPreF3) was under investigation as a maternal vaccine. METHODS This phase 2, randomized, placebo-controlled, single-dose, multicenter study enrolled healthy, nonpregnant women, randomized 1:1:1:1:1 to 5 parallel groups studying RSVPreF3 (60 or 120 µg) coadministered with diphtheria, tetanus, and acellular pertussis vaccine (dTpa) or placebo, and dTpa coadministered with placebo. Safety and humoral immune responses were assessed. An extension phase also assessed a RSVPreF3 120 μg vaccination 12-18 months after first vaccination. RESULTS The safety profile of RSVPreF3 was unaffected by dose or dTpa coadministration. Solicited and unsolicited adverse events (AEs) were evenly distributed across study groups. Injection-site pain was higher following the second vaccination versus the first vaccination. Medically attended AEs were rare (<5% overall). Both RSVPreF3 dose levels (alone and with dTpa) were immunogenic, increasing levels of RSV-A neutralizing antibody ≥8-fold and anti-RSVPreF3 IgG antibody ≥11-fold at 1 month postvaccination, which persisted at 12-18 months postvaccination; modest 2-fold increases were observed with a second RSVPreF3 vaccination. CONCLUSIONS This study indicates RSVPreF3 coadministration with dTpa induces robust immune responses and is well tolerated, regardless of the RSVPreF3 dose level used. CLINICAL TRIALS REGISTRATION NCT04138056.
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Affiliation(s)
- Nerea Hermida
- Clinical Research Development, GSK Vaccines, Wavre, Belgium
| | - Murdo Ferguson
- Department of Family Medicine and Emergency Medicine, Colchester Research Group, Truro, Nova Scotia, Canada
| | - Isabel Leroux-Roels
- Center for Vaccinology, Ghent University and Ghent University Hospital, Ghent, Belgium
| | | | - Deborah Yaplee
- Vaccine Development, GSK Vaccines, Rockville, Maryland, USA
| | - Nancy Hua
- Vaccine Development, GSK Vaccines, Rockville, Maryland, USA
| | | | - Bruno Anspach
- Vaccine Development, GSK Vaccines, Rockville, Maryland, USA
| | | | - Joon Hyung Kim
- Vaccine Development, GSK Vaccines, Rockville, Maryland, USA
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2
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Giannini F, Hogan AB, Sarna M, Glass K, Moore HC. Modelling respiratory syncytial virus age-specific risk of hospitalisation in term and preterm infants. BMC Infect Dis 2024; 24:510. [PMID: 38773455 PMCID: PMC11110433 DOI: 10.1186/s12879-024-09400-2] [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: 12/12/2023] [Accepted: 05/13/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Respiratory syncytial virus (RSV) is the most common cause of acute lower respiratory infections in children worldwide. The highest incidence of severe disease is in the first 6 months of life, with infants born preterm at greatest risk for severe RSV infections. The licensure of new RSV therapeutics (a long-acting monoclonal antibody and a maternal vaccine) in Europe, USA, UK and most recently in Australia, has driven the need for strategic decision making on the implementation of RSV immunisation programs. Data driven approaches, considering the local RSV epidemiology, are critical to advise on the optimal use of these therapeutics for effective RSV control. METHODS We developed a dynamic compartmental model of RSV transmission fitted to individually-linked population-based laboratory, perinatal and hospitalisation data for 2000-2012 from metropolitan Western Australia (WA), stratified by age and prior exposure. We account for the differential risk of RSV-hospitalisation in full-term and preterm infants (defined as < 37 weeks gestation). We formulated a function relating age, RSV exposure history, and preterm status to the risk of RSV-hospitalisation given infection. RESULTS The age-to-risk function shows that risk of hospitalisation, given RSV infection, declines quickly in the first 12 months of life for all infants and is 2.6 times higher in preterm compared with term infants. The hospitalisation risk, given infection, declines to < 10% of the risk at birth by age 7 months for term infants and by 9 months for preterm infants. CONCLUSIONS The dynamic model, using the age-to-risk function, characterises RSV epidemiology for metropolitan WA and can now be extended to predict the impact of prevention measures. The stratification of the model by preterm status will enable the comparative assessment of potential strategies in the extended model that target this RSV risk group relative to all-population approaches. Furthermore, the age-to-risk function developed in this work has wider relevance to the epidemiological characterisation of RSV.
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Affiliation(s)
- Fiona Giannini
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, 15 Hospital Ave, Nedlands, WA, 6009, Australia.
| | - Alexandra B Hogan
- School of Population Health, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Mohinder Sarna
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, 15 Hospital Ave, Nedlands, WA, 6009, Australia
- School of Population Health, Curtin University, Perth, WA, 6002, Australia
| | - Kathryn Glass
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, 15 Hospital Ave, Nedlands, WA, 6009, Australia
- National Centre for Epidemiology and Population Health, The Australian National University, 62 Mills Rd, Acton ACT, 2601, Australia
| | - Hannah C Moore
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, 15 Hospital Ave, Nedlands, WA, 6009, Australia
- School of Population Health, Curtin University, Perth, WA, 6002, Australia
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3
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Lang JC, Kura K, Garba SM, Elbasha EH, Chen YH. Comparison of a static cohort model and dynamic transmission model for respiratory syncytial virus intervention programs for infants in England and Wales. Vaccine 2024; 42:1918-1927. [PMID: 38368224 DOI: 10.1016/j.vaccine.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND A recent study comparing results of multiple cost-effectiveness analyses (CEAs) in a hypothetical population found that monoclonal antibody (mAb) immunoprophylaxis for respiratory syncytial virus (RSV) in infants averted fewer medically attended cases when estimated using dynamic transmission models (DTMs) versus static cohort models (SCMs). We aimed to investigate whether model calibration or parameterization could be the primary driver of inconsistencies between SCM and DTM predictions. METHODS A recently published DTM evaluating the CEA of infant mAb immunoprophylaxis in England and Wales (EW) was selected as the reference model. We adapted our previously published SCM for US infants to EW by utilizing the same data sources used by the DTM. Both models parameterized mAb efficacy from a randomized clinical trial (RCT) that estimated an average efficacy of 74.5% against all medically attended RSV episodes and 62.1% against RSV hospitalizations. To align model assumptions, we modified the SCM to incorporate waning efficacy. Since the estimated indirect effects from the DTM were small (i.e., approximately 100-fold smaller in magnitude than direct effects), we hypothesized that alignment of model parameters should result in alignment of model predictions. Outputs for model comparison comprised averted hospitalizations and averted GP visits, estimated for seasonal (S) and seasonal-with-catchup (SC) immunization strategies. RESULTS When we aligned the SCM intervention parameters to DTM intervention parameters, significantly more averted hospitalizations were predicted by the SCM (S: 32.3%; SC: 51.3%) than the DTM (S: 17.8%; SC: 28.6%). The SCM most closely replicated the DTM results when the initial efficacy of the mAb intervention was 62.1%, leading to an average efficacy of 39.3%. Under this parameterization the SCM predicted 17.4% (S) and 27.7% (SC) averted hospitalizations. Results were similar for averted GP visits. CONCLUSIONS Parameterization of the RSV mAb intervention efficacy is a plausible primary driver of differences between SCM versus DTM model predictions.
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Affiliation(s)
- John C Lang
- Health Economic Decision Sciences, Biostatistics and Research Decision Sciences, Merck Canada Inc., Kirkland, QC, Canada
| | - Klodeta Kura
- Health Economic Decision Sciences, Biostatistics and Research Decision Sciences, MSD (UK) Limited, London, United Kingdom.
| | - Salisu M Garba
- Health Economic Decision Sciences, Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, USA
| | - Elamin H Elbasha
- Health Economic Decision Sciences, Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, USA
| | - Yao-Hsuan Chen
- Health Economic Decision Sciences, Biostatistics and Research Decision Sciences, MSD (UK) Limited, London, United Kingdom
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4
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Bents SJ, Viboud C, Grenfell BT, Hogan AB, Tempia S, von Gottberg A, Moyes J, Walaza S, Hansen C, Cohen C, Baker RE. Modeling the impact of COVID-19 nonpharmaceutical interventions on respiratory syncytial virus transmission in South Africa. Influenza Other Respir Viruses 2023; 17:e13229. [PMID: 38090227 PMCID: PMC10710953 DOI: 10.1111/irv.13229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/25/2023] [Accepted: 11/11/2023] [Indexed: 12/18/2023] Open
Abstract
Background The South African government employed various nonpharmaceutical interventions (NPIs) to reduce the spread of SARS-CoV-2. Surveillance data from South Africa indicates reduced circulation of respiratory syncytial virus (RSV) throughout the 2020-2021 seasons. Here, we use a mechanistic transmission model to project the rebound of RSV in the two subsequent seasons. Methods We fit an age-structured epidemiological model to hospitalization data from national RSV surveillance in South Africa, allowing for time-varying reduction in RSV transmission during periods of COVID-19 circulation. We apply the model to project the rebound of RSV in the 2022 and 2023 seasons. Results We projected an early and intense outbreak of RSV in April 2022, with an age shift to older infants (6-23 months old) experiencing a larger portion of severe disease burden than typical. In March 2022, government alerts were issued to prepare the hospital system for this potentially intense outbreak. We then assess the 2022 predictions and project the 2023 season. Model predictions for 2023 indicate that RSV activity has not fully returned to normal, with a projected early and moderately intense wave. We estimate that NPIs reduced RSV transmission between 15% and 50% during periods of COVID-19 circulation. Conclusions A wide range of NPIs impacted the dynamics of the RSV outbreaks throughout 2020-2023 in regard to timing, magnitude, and age structure, with important implications in a low- and middle-income countries (LMICs) setting where RSV interventions remain limited. More efforts should focus on adapting RSV models to LMIC data to project the impact of upcoming medical interventions for this disease.
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Affiliation(s)
- Samantha J. Bents
- Fogarty International Center, National Institutes of HealthBethesdaMarylandUSA
| | - Cécile Viboud
- Fogarty International Center, National Institutes of HealthBethesdaMarylandUSA
| | - Bryan T. Grenfell
- Department of Ecology and Evolutionary BiologyPrinceton UniversityPrincetonNew JerseyUSA
| | - Alexandra B. Hogan
- School of Population HealthUniversity of New South WalesSydneyNew South WalesAustralia
| | - Stefano Tempia
- Centre for Respiratory Diseases and MeningitisNational Institute for Communicable Diseases of the National Health Laboratory ServiceJohannesburgSouth Africa
- School of Public Health, Faculty of Health SciencesUniversity of WitwatersrandJohannesburgSouth Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and MeningitisNational Institute for Communicable Diseases of the National Health Laboratory ServiceJohannesburgSouth Africa
- School of Pathology, Faculty of Health SciencesUniversity of WitwatersrandJohannesburgSouth Africa
- Department of Pathology, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Jocelyn Moyes
- Centre for Respiratory Diseases and MeningitisNational Institute for Communicable Diseases of the National Health Laboratory ServiceJohannesburgSouth Africa
- School of Public Health, Faculty of Health SciencesUniversity of WitwatersrandJohannesburgSouth Africa
| | - Sibongile Walaza
- Centre for Respiratory Diseases and MeningitisNational Institute for Communicable Diseases of the National Health Laboratory ServiceJohannesburgSouth Africa
- School of Public Health, Faculty of Health SciencesUniversity of WitwatersrandJohannesburgSouth Africa
| | - Chelsea Hansen
- Fogarty International Center, National Institutes of HealthBethesdaMarylandUSA
- Brotman Baty InstituteUniversity of WashingtonSeattleWashingtonUSA
- PandemiX Center, Department of Science & EnvironmentRoskilde UniversityRoskildeDenmark
| | - Cheryl Cohen
- Centre for Respiratory Diseases and MeningitisNational Institute for Communicable Diseases of the National Health Laboratory ServiceJohannesburgSouth Africa
- School of Public Health, Faculty of Health SciencesUniversity of WitwatersrandJohannesburgSouth Africa
| | - Rachel E. Baker
- School of Public HealthBrown UniversityProvidenceRhode IslandUSA
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5
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Fleming JA, Baral R, Higgins D, Khan S, Kochar S, Li Y, Ortiz JR, Cherian T, Feikin D, Jit M, Karron RA, Limaye RJ, Marshall C, Munywoki PK, Nair H, Newhouse LC, Nyawanda BO, Pecenka C, Regan K, Srikantiah P, Wittenauer R, Zar HJ, Sparrow E. Value profile for respiratory syncytial virus vaccines and monoclonal antibodies. Vaccine 2023; 41 Suppl 2:S7-S40. [PMID: 37422378 DOI: 10.1016/j.vaccine.2022.09.081] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 07/10/2023]
Abstract
Respiratory syncytial virus (RSV) is the predominant cause of acute lower respiratory infection (ALRI) in young children worldwide, yet no licensed RSV vaccine exists to help prevent the millions of illnesses and hospitalizations and tens of thousands of young lives taken each year. Monoclonal antibody (mAb) prophylaxis exists for prevention of RSV in a small subset of very high-risk infants and young children, but the only currently licensed product is impractical, requiring multiple doses and expensive for the low-income settings where the RSV disease burden is greatest. A robust candidate pipeline exists to one day prevent RSV disease in infant and pediatric populations, and it focuses on two promising passive immunization approaches appropriate for low-income contexts: maternal RSV vaccines and long-acting infant mAbs. Licensure of one or more candidates is feasible over the next one to three years and, depending on final product characteristics, current economic models suggest both approaches are likely to be cost-effective. Strong coordination between maternal and child health programs and the Expanded Program on Immunization will be needed for effective, efficient, and equitable delivery of either intervention. This 'Vaccine Value Profile' (VVP) for RSV is intended to provide a high-level, holistic assessment of the information and data that are currently available to inform the potential public health, economic and societal value of pipeline vaccines and vaccine-like products. This VVP was developed by a working group of subject matter experts from academia, non-profit organizations, public private partnerships and multi-lateral organizations, and in collaboration with stakeholders from the WHO headquarters. All contributors have extensive expertise on various elements of the RSV VVP and collectively aimed to identify current research and knowledge gaps. The VVP was developed using only existing and publicly available information.
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Affiliation(s)
- Jessica A Fleming
- Center for Vaccine Innovation and Access, PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States.
| | - Ranju Baral
- Center for Vaccine Innovation and Access, PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States.
| | - Deborah Higgins
- Center for Vaccine Innovation and Access, PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States.
| | - Sadaf Khan
- Maternal, Newborn, Child Health and Nutrition, PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States.
| | - Sonali Kochar
- Global Healthcare Consulting and Department of Global Health, University of Washington, Hans Rosling Center, 3980 15th Ave NE, Seattle, WA 98105, United States.
| | - You Li
- School of Public Health, Nanjing Medical University, No. 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu Province 211166, PR China.
| | - Justin R Ortiz
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, 685 West Baltimore Street, Baltimore, MD 21201-1509, United States.
| | - Thomas Cherian
- MMGH Consulting GmbH, Kuerbergstrasse 1, 8049 Zurich, Switzerland.
| | - Daniel Feikin
- Department of Immunization, Vaccines and Biologicals, World Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland.
| | - Mark Jit
- London School of Hygiene & Tropical Medicine, University of London, Keppel St, London WC1E 7HT, United Kingdom.
| | - Ruth A Karron
- Center for Immunization Research, Johns Hopkins University, Department of International Health, 624 N. Broadway, Rm 117, Baltimore, MD 21205, United States.
| | - Rupali J Limaye
- International Health, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, United States.
| | - Caroline Marshall
- Department of Immunization, Vaccines and Biologicals, World Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland.
| | - Patrick K Munywoki
- Center for Disease Control and Prevention, KEMRI Complex, Mbagathi Road off Mbagathi Way, PO Box 606-00621, Village Market, Nairobi, Kenya.
| | - Harish Nair
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, United Kingdom.
| | - Lauren C Newhouse
- Center for Vaccine Innovation and Access, PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States.
| | - Bryan O Nyawanda
- Kenya Medical Research Institute, Hospital Road, P.O. Box 1357, Kericho, Kenya.
| | - Clint Pecenka
- Center for Vaccine Innovation and Access, PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States.
| | - Katie Regan
- Center for Vaccine Innovation and Access, PATH, 2201 Westlake Ave Suite 200, Seattle, WA 98121, United States.
| | - Padmini Srikantiah
- Bill & Melinda Gates Foundation, 500 5th Ave N, Seattle, WA 98109, United States.
| | - Rachel Wittenauer
- Department of Pharmacy, University of Washington, Health Sciences Building, 1956 NE Pacific St H362, Seattle, WA 98195, United States.
| | - Heather J Zar
- Department of Paediatrics & Child Health and SA-MRC Unit on Child & Adolescent Health, Red Cross Children's Hospital, University of Cape Town, Klipfontein Road, Rondebosch, Cape Town 7700, South Africa.
| | - Erin Sparrow
- Department of Immunization, Vaccines and Biologicals, World Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland.
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6
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Limaye RJ, Fesshaye B, Singh P, Karron RA. RSV awareness, risk perception, causes, and terms: Perspectives of pregnant and lactating women in Kenya to inform demand generation efforts for maternal RSV vaccines. Hum Vaccin Immunother 2023; 19:2258580. [PMID: 37807864 PMCID: PMC10563615 DOI: 10.1080/21645515.2023.2258580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 09/10/2023] [Indexed: 10/10/2023] Open
Abstract
Respiratory syncytial virus (RSV) causes a substantial proportion of acute lower respiratory tract infections (LRTI) among infants. In low- and middle-income countries, RSV may be responsible for approximately 40% of all hospital admissions of infants less than one year. A safe and immunogenic RSV vaccine, given to pregnant persons, is imminent. In this qualitative study, we sought to understand factors that could inform maternal vaccine decision-making to inform future demand generation strategies in Kenya. We conducted in-depth interviews with 24 pregnant and lactating persons from two counties, with two communities in each county. Four key themes emerged, including terms used for RSV, awareness of and risk perception related to RSV, causes of RSV, and questions about future maternal RSV vaccines. Regarding terms, no participant used the term RSV to describe the disease. Most participants associated RSV with cold things such as cold weather and cold food/drink. Most participants believed that RSV was caused by the cold or an unclean environment. Finally, key questions related to a maternal RSV vaccine were related to vaccine safety, and more specifically side effects. Questions arose related to vaccine effectiveness as well as timing of administration and dosing. A maternal RSV vaccine is on the horizon. However, vaccines do not save lives; vaccination does. As such, it is critical to develop and implement demand generation approaches to ensure that once a maternal RSV vaccine is available, communities are sensitized and willing to accept it.
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Affiliation(s)
- Rupali J. Limaye
- International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Berhaun Fesshaye
- International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Prachi Singh
- International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ruth A. Karron
- International Vaccine Access Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Center for Immunization Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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7
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Li X, Hodgson D, Flaig J, Kieffer A, Herring WL, Beyhaghi H, Willem L, Jit M, Bilcke J, Beutels P. Cost-Effectiveness of Respiratory Syncytial Virus Preventive Interventions in Children: A Model Comparison Study. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2023; 26:508-518. [PMID: 36442831 DOI: 10.1016/j.jval.2022.11.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/02/2022] [Accepted: 11/16/2022] [Indexed: 05/06/2023]
Abstract
OBJECTIVES Model-based cost-effectiveness analyses on maternal vaccine (MV) and monoclonal antibody (mAb) interventions against respiratory syncytial virus (RSV) use context-specific data and produce varied results. Through model comparison, we aim to characterize RSV cost-effectiveness models and examine drivers for their outputs. METHODS We compared 3 static and 2 dynamic models using a common input parameter set for a hypothetical birth cohort of 100 000 infants. Year-round and seasonal programs were evaluated for MV and mAb interventions, using available evidence during the study period (eg, phase III MV and phase IIb mAb efficacy). RESULTS Three static models estimated comparable medically attended (MA) cases averted versus no intervention (MV, 1019-1073; mAb, 5075-5487), with the year-round MV directly saving ∼€1 million medical and €0.3 million nonmedical costs, while gaining 4 to 5 discounted quality-adjusted life years (QALYs) annually in <1-year-olds, and mAb resulting in €4 million medical and €1.5 million nonmedical cost savings, and 21 to 25 discounted QALYs gained. In contrast, both dynamic models estimated fewer MA cases averted (MV, 402-752; mAb, 3362-4622); one showed an age shift of RSV cases, whereas the other one reported many non-MA symptomatic cases averted, especially by MV (2014). These differences can be explained by model types, assumptions on non-MA burden, and interventions' effectiveness over time. CONCLUSIONS Our static and dynamic models produced overall similar hospitalization and death estimates, but also important differences, especially in non-MA cases averted. Despite the small QALY decrement per non-MA case, their larger number makes them influential for the costs per QALY gained of RSV interventions.
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Affiliation(s)
- Xiao Li
- Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
| | - David Hodgson
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, England, UK
| | - Julien Flaig
- Epidemiology and Modeling of Infectious Diseases (EPIMOD), Lyon, France
| | - Alexia Kieffer
- Health Economics and Value Assessment, Sanofi, Lyon, France
| | - William L Herring
- RTI Health Solutions, Research Triangle Park, NC, USA; Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | | | - Lander Willem
- Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Mark Jit
- Center of Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, England, UK
| | - Joke Bilcke
- Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Philippe Beutels
- Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
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8
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Zheng Z, Weinberger DM, Pitzer VE. Predicted effectiveness of vaccines and extended half-life monoclonal antibodies against RSV hospitalizations in children. NPJ Vaccines 2022; 7:127. [PMID: 36302926 PMCID: PMC9612629 DOI: 10.1038/s41541-022-00550-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 10/11/2022] [Indexed: 11/20/2022] Open
Abstract
Several vaccines and extended half-life monoclonal antibodies (mAbs) against respiratory syncytial virus (RSV) have shown promise in clinical trials. We used age-structured transmission models to predict the possible impact of various RSV prevention strategies including maternal immunization, live-attenuated vaccines, and long-lasting mAbs. Our results suggest that maternal immunization and long-lasting mAbs are likely to be highly effective in preventing RSV hospitalizations in infants under 6 months of age, averting more than half of RSV hospitalizations in neonates. Live-attenuated vaccines could reduce RSV hospitalizations in vaccinated age groups and are also predicted to have a modest effect in unvaccinated age groups because of disruptions to transmission. Compared to year-round vaccination, a seasonal vaccination program at the country level provides at most a minor advantage regarding efficiency. Our findings highlight the substantial public health impact that upcoming RSV prevention strategies may provide.
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Affiliation(s)
- Zhe Zheng
- Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA.
| | - Daniel M Weinberger
- Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Virginia E Pitzer
- Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, USA
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9
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Ektare V, Lang J, Choi Y, Finelli L. The clinical impact of multiple prevention strategies for respiratory syncytial virus infections in infants and high-risk toddlers in the United States. Vaccine 2022; 40:6064-6073. [PMID: 36096968 DOI: 10.1016/j.vaccine.2022.08.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/01/2022] [Accepted: 08/08/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Respiratory syncytial virus (RSV) remains a leading cause of medically-attended acute respiratory infection in infants and children. With multiple preventative interventions under development, accurate estimates of health care resource utilization are essential for policy decision making. METHODS We developed a literature-based decision-tree model that estimated annual medically-attended RSV (MA-RSV) lower respiratory tract infection (LRTI) and non-LRTI episodes in the US for all infants and for high-risk toddlers. The model accounted for the gestational age and birth-month of infants, and the seasonal variation in RSV incidence. The impact of no prophylaxis, palivizumab, maternal vaccine, and long-acting monoclonal antibody (mAb) interventions was estimated. RESULTS We estimated 1.23 million (range: 0.96 million-1.40 million) annual MA-RSV LRTI/non-LRTI episodes comprised of 1.19 million (range: 0.93 million-1.36 million) emergency department (ED) and outpatient visits, and 39,040 (range: 32,726-45,851) hospitalizations. Outpatient and ED visits were comprised of 586,034 (range: 430,595-718,868) LRTIs and 608,733 (range: 495,705-644,658) non-LRTIs. The long-acting mAb intervention resulted in the greatest number of averted outpatient and ED episodes (310,997 [53%] LRTIs; 284,305 [47%] non-LRTIs) and hospitalizations (21,845 [56%]). Full-term infants constitute the highest proportion of episodes across all interventions. CONCLUSIONS MA-RSV disease is substantial in infants and high-risk toddlers. Long-acting mAbs are most effective at reducing the number of MA-RSV LRTI/non-LRTI episodes, and the only intervention that prevents disease in older infants (≥6 months old).
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Affiliation(s)
| | - John Lang
- Biostatistics and Research Decision Sciences (BARDS), Merck & Co., Inc., Kenilworth, NJ, USA
| | - Yoonyoung Choi
- Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Kenilworth, NJ, USA
| | - Lyn Finelli
- Center for Observational and Real-World Evidence (CORE), Merck & Co., Inc., Kenilworth, NJ, USA
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10
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Determinants of RSV epidemiology following suppression through pandemic contact restrictions. Epidemics 2022; 40:100614. [PMID: 35901639 PMCID: PMC9301974 DOI: 10.1016/j.epidem.2022.100614] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 06/26/2022] [Accepted: 07/20/2022] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION COVID-19 related non-pharmaceutical interventions (NPIs) led to a suppression of RSV circulation in winter 2020/21 in the UK and an off-season resurgence in Summer 2021. We explore how the parameters of RSV epidemiology shape the size and dynamics of post-suppression resurgence and what we can learn about them from the resurgence patterns observed so far. METHODS We developed an age-structured dynamic transmission model of RSV and sampled the parameters governing RSV seasonality, infection susceptibility and post-infection immunity, retaining simulations fitting the UK's pre-pandemic epidemiology by a set of global criteria consistent with likelihood calculations. From Spring 2020 to Summer 2021 we assumed a reduced contact frequency, returning to pre-pandemic levels from Spring 2021. We simulated transmission forwards until 2023 and evaluated the impact of the sampled parameters on the projected trajectories of RSV hospitalisations and compared these to the observed resurgence. RESULTS Simulations replicated an out-of-season resurgence of RSV in 2021. If unmitigated, paediatric RSV hospitalisation incidence in the 2021/22 season was projected to increase by 30-60% compared to pre-pandemic levels. The increase was larger if infection risk was primarily determined by immunity acquired from previous exposure rather than age-dependent factors, exceeding 90 % and 130 % in 1-2 and 2-5 year old children, respectively. Analysing the simulations replicating the observed early outbreak in 2021 in addition to pre-pandemic RSV data, we found they were characterised by weaker seasonal forcing, stronger age-dependence of infection susceptibility and higher baseline transmissibility. CONCLUSION COVID-19 mitigation measures in the UK stopped RSV circulation in the 2020/21 season and generated immunity debt leading to an early off-season RSV epidemic in 2021. A stronger dependence of infection susceptibility on immunity from previous exposure increases the size of the resurgent season. The early onset of the RSV resurgence in 2021, its marginally increased size relative to previous seasons and its decline by January 2022 suggest a stronger dependence of infection susceptibility on age-related factors, as well as a weaker effect of seasonality and a higher baseline transmissibility. The pattern of resurgence has been complicated by contact levels still not back to pre-pandemic levels. Further fitting of RSV resurgence in multiple countries incorporating data on contact patterns will be needed to further narrow down these parameters and to better predict the pathogen's future trajectory, planning for a potential expansion of new immunisation products against RSV in the coming years.
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11
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Bilgin GM, Lokuge K, Glass K. Modelling the impact of maternal pneumococcal vaccination on infant pneumococcal disease in low-income settings. Vaccine 2022; 40:4128-4134. [PMID: 35667913 DOI: 10.1016/j.vaccine.2022.05.066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 05/20/2022] [Accepted: 05/23/2022] [Indexed: 11/27/2022]
Abstract
Pneumococcal disease is a leading cause of mortality in young children. The largest burden of pneumococcal disease is in the first six months of life before protection from a complete schedule of direct immunisation is possible. Maternal pneumococcal vaccination has been proposed as a strategy for protection in this period of early childhood; however, limited clinical trial data exists. In this study, we developed an age-structured compartmental mathematical model to estimate the impact of maternal pneumococcal vaccination. Our model demonstrates how maternal pneumococcal vaccination could prevent 73% (range 49-88%) of cases in those aged <1 month and 55% (range 36-66%) in those 1-2 months old. This translates to an estimated 17% reduction in deaths due to invasive pneumococcal disease in children under five. Overall, this study demonstrates the potential for maternal pneumococcal vaccination to meaningfully reduce the burden of infant pneumococcal disease, supporting the case for appropriate field-based clinical studies.
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Affiliation(s)
- Gizem M Bilgin
- National Centre for Epidemiology and Population Health, The Australian National University, Acton, ACT 2601, Australia.
| | - Kamalini Lokuge
- National Centre for Epidemiology and Population Health, The Australian National University, Acton, ACT 2601, Australia
| | - Kathryn Glass
- National Centre for Epidemiology and Population Health, The Australian National University, Acton, ACT 2601, Australia
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12
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Esposito S, Abu Raya B, Baraldi E, Flanagan K, Martinon Torres F, Tsolia M, Zielen S. RSV Prevention in All Infants: Which Is the Most Preferable Strategy? Front Immunol 2022; 13:880368. [PMID: 35572550 PMCID: PMC9096079 DOI: 10.3389/fimmu.2022.880368] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 03/28/2022] [Indexed: 11/30/2022] Open
Abstract
Respiratory syncytial virus (RSV) causes a spectrum of respiratory illnesses in infants and young children that may lead to hospitalizations and a substantial number of outpatient visits, which result in a huge economic and healthcare burden. Most hospitalizations happen in otherwise healthy infants, highlighting the need to protect all infants against RSV. Moreover, there is evidence on the association between early-life RSV respiratory illness and recurrent wheezing/asthma-like symptoms As such, RSV is considered a global health priority. However, despite this, the only prevention strategy currently available is palivizumab, a monoclonal antibody (mAb) indicated in a subset of preterm infants or those with comorbidities, hence leaving the majority of the infant population unprotected against this virus. Therefore, development of prevention strategies against RSV for all infants entering their first RSV season constitutes a large unmet medical need. The aim of this review is to explore different immunization approaches to protect all infants against RSV. Prevention strategies include maternal immunization, immunization of infants with vaccines, immunization of infants with licensed mAbs (palivizumab), and immunization of infants with long-acting mAbs (e.g., nirsevimab, MK-1654). Of these, palivizumab use is restricted to a small population of infants and does not offer a solution for all-infant protection, whereas vaccine development in infants has encountered various challenges, including the immaturity of the infant immune system, highlighting that future pediatric vaccines will most likely be used in older infants (>6 months of age) and children. Consequently, maternal immunization and immunization of infants with long-acting mAbs represent the two feasible strategies for protection of all infants against RSV. Here, we present considerations regarding these two strategies covering key areas which include mechanism of action, "consistency" of protection, RSV variability, duration of protection, flexibility and optimal timing of immunization, benefit for the mother, programmatic implementation, and acceptance of each strategy by key stakeholders. We conclude that, based on current data, immunization of infants with long-acting mAbs might represent the most effective approach for protecting all infants entering their first RSV season.
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Affiliation(s)
- Susanna Esposito
- Pediatric Clinic, Pietro Barilla Children’s Hospital, University of Parma, Parma, Italy
| | - Bahaa Abu Raya
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Eugenio Baraldi
- Neonatal Intensive Care Unit, Department of Woman’s and Child’s Health, Padova University Hospital, Padova, Italy
| | - Katie Flanagan
- School of Medicine, Faculty of Health Sciences, University of Tasmania, Launceston, TAS, Australia
- School of Health and Biomedical Science, RMIT University, Melbourne, VIC, Australia
- Department of Immunology and Pathology, Monash University, Melbourne, VIC, Australia
- Tasmanian Vaccine Trial Centre, Clifford Craig Foundation, Launceston General Hospital, Launceston, TAS, Australia
| | - Federico Martinon Torres
- Genetics, Vaccines, Infections and Pediatrics Research group (GENVIP), Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Maria Tsolia
- Second Department of Pediatrics, National and Kapodistrian University of Athens, “A&P Kyriakou” Children’s Hospital, Athens, Greece
| | - Stefan Zielen
- Department for Children and Adolescents, Division of Allergology, Pulmonology and Cystic Fibrosis, Goethe-University Hospital, Frankfurt am Main, Germany
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13
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Bents S, Viboud C, Grenfell B, Hogan A, Tempia S, von Gottberg A, Moyes J, Walaza S, Cohen C, Baker R. The impact of COVID-19 non-pharmaceutical interventions on future respiratory syncytial virus transmission in South Africa. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.03.12.22271872. [PMID: 35313577 PMCID: PMC8936096 DOI: 10.1101/2022.03.12.22271872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
In response to the COVID-19 pandemic, the South African government employed various nonpharmaceutical interventions (NPIs) in order to reduce the spread of SARS-CoV-2. In addition to mitigating transmission of SARS-CoV-2, these public health measures have also functioned in slowing the spread of other endemic respiratory pathogens. Surveillance data from South Africa indicates low circulation of respiratory syncytial virus (RSV) throughout the 2020-2021 Southern Hemisphere winter seasons. Here we fit age-structured epidemiological models to national surveillance data to predict the 2022 RSV outbreak following two suppressed seasons. We project a 32% increase in the peak number of monthly hospitalizations among infants ≤ 2 years, with older infants (6-23 month olds) experiencing a larger portion of severe disease burden than typical. Our results suggest that hospital system readiness should be prepared for an intense RSV season in early 2022.
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Affiliation(s)
- Samantha Bents
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Cécile Viboud
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States
| | - Bryan Grenfell
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Alexandra Hogan
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Stefano Tempia
- 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 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 Witwatersrand, Johannesburg, South Africa
- Department of Pathology, Faculty of Health Sciences, University of Cape Town, Cape Town, 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 Witwatersrand, 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 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 Witwatersrand, Johannesburg, South Africa
| | - Rachel Baker
- Princeton Environmental Institute, Princeton University, Princeton, NJ, USA
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14
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Use of mathematical modelling to assess respiratory syncytial virus epidemiology and interventions: a literature review. J Math Biol 2022; 84:26. [PMID: 35218424 PMCID: PMC8882104 DOI: 10.1007/s00285-021-01706-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 09/10/2021] [Accepted: 12/01/2021] [Indexed: 11/17/2022]
Abstract
Respiratory syncytial virus (RSV) is a leading cause of acute lower respiratory tract infection worldwide, resulting in approximately sixty thousand annual hospitalizations of< 5-year-olds in the United States alone and three million annual hospitalizations globally. The development of over 40 vaccines and immunoprophylactic interventions targeting RSV has the potential to significantly reduce the disease burden from RSV infection in the near future. In the context of RSV, a highly contagious pathogen, dynamic transmission models (DTMs) are valuable tools in the evaluation and comparison of the effectiveness of different interventions. This review, the first of its kind for RSV DTMs, provides a valuable foundation for future modelling efforts and highlights important gaps in our understanding of RSV epidemics. Specifically, we have searched the literature using Web of Science, Scopus, Embase, and PubMed to identify all published manuscripts reporting the development of DTMs focused on the population transmission of RSV. We reviewed the resulting studies and summarized the structure, parameterization, and results of the models developed therein. We anticipate that future RSV DTMs, combined with cost-effectiveness evaluations, will play a significant role in shaping decision making in the development and implementation of intervention programs.
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15
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Gebremedhin AT, Hogan AB, Blyth CC, Glass K, Moore HC. Developing a prediction model to estimate the true burden of respiratory syncytial virus (RSV) in hospitalised children in Western Australia. Sci Rep 2022; 12:332. [PMID: 35013434 PMCID: PMC8748465 DOI: 10.1038/s41598-021-04080-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 12/14/2021] [Indexed: 12/23/2022] Open
Abstract
Respiratory syncytial virus (RSV) is a leading cause of childhood morbidity, however there is no systematic testing in children hospitalised with respiratory symptoms. Therefore, current RSV incidence likely underestimates the true burden. We used probabilistically linked perinatal, hospital, and laboratory records of 321,825 children born in Western Australia (WA), 2000-2012. We generated a predictive model for RSV positivity in hospitalised children aged < 5 years. We applied the model to all hospitalisations in our population-based cohort to determine the true RSV incidence, and under-ascertainment fraction. The model's predictive performance was determined using cross-validated area under the receiver operating characteristic (AUROC) curve. From 321,825 hospitalisations, 37,784 were tested for RSV (22.8% positive). Predictors of RSV positivity included younger admission age, male sex, non-Aboriginal ethnicity, a diagnosis of bronchiolitis and longer hospital stay. Our model showed good predictive accuracy (AUROC: 0.87). The respective sensitivity, specificity, positive predictive value and negative predictive values were 58.4%, 92.2%, 68.6% and 88.3%. The predicted incidence rates of hospitalised RSV for children aged < 3 months was 43.7/1000 child-years (95% CI 42.1-45.4) compared with 31.7/1000 child-years (95% CI 30.3-33.1) from laboratory-confirmed RSV admissions. Findings from our study suggest that the true burden of RSV may be 30-57% higher than current estimates.
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Affiliation(s)
- Amanuel Tesfay Gebremedhin
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, Perth, 6872, Australia.
| | - Alexandra B Hogan
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Christopher C Blyth
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, Perth, 6872, Australia
- School of Medicine, The University of Western Australia, Perth, WA, Australia
- Department of Infectious Diseases, Perth Children's Hospital, Perth, WA, Australia
- PathWest Laboratory Medicine, QEII Medical Centre, Nedlands, Perth, WA, Australia
| | - Kathryn Glass
- Research School of Population Health, Australian National University, Canberra, Australia
| | - Hannah C Moore
- Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, Perth, 6872, Australia
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16
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Citron MP, McAnulty J, Callahan C, Knapp W, Fontenot J, Morales P, Flynn JA, Douglas CM, Espeseth AS. Transplacental Antibody Transfer of Respiratory Syncytial Virus Specific IgG in Non-Human Primate Mother-Infant Pairs. Pathogens 2021; 10:pathogens10111441. [PMID: 34832599 PMCID: PMC8624788 DOI: 10.3390/pathogens10111441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/30/2021] [Accepted: 11/03/2021] [Indexed: 12/14/2022] Open
Abstract
One approach to protect new-borns against respiratory syncytial virus (RSV) is to vaccinate pregnant women in the last trimester of pregnancy. The boosting of circulating antibodies which can be transferred to the foetus would offer immune protection against the virus and ultimately the disease. Since non-human primates (NHPs) have similar reproductive anatomy, physiology, and antibody architecture and kinetics to humans, we utilized this preclinical species to evaluate maternal immunization (MI) using an RSV F subunit vaccine. Three species of NHPs known for their ability to be infected with human RSV in experimental challenge studies were tested for RSV-specific antibodies. African green monkeys had the highest overall antibody levels of the old-world monkeys evaluated and they gave birth to offspring with anti-RSV titers that were proportional to their mother. These higher overall antibody levels are associated with greater durability found in their offspring. Immunization of RSV seropositive AGMs during late pregnancy boosts RSV titers, which consequentially results in significantly higher titers in the vaccinated new-borns compared to the new-borns of unvaccinated mothers. These findings, accomplished in small treatment group sizes, demonstrate a model that provides an efficient, resource sparing and translatable preclinical in vivo system for evaluating vaccine candidates for maternal immunization.
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Affiliation(s)
- Michael P. Citron
- Infectious Disease & Vaccines, Merck & Co., Inc., Kenilworth, NJ 07033, USA; (J.M.); (C.C.); (J.A.F.); (C.M.D.); (A.S.E.)
- Correspondence:
| | - Jessica McAnulty
- Infectious Disease & Vaccines, Merck & Co., Inc., Kenilworth, NJ 07033, USA; (J.M.); (C.C.); (J.A.F.); (C.M.D.); (A.S.E.)
| | - Cheryl Callahan
- Infectious Disease & Vaccines, Merck & Co., Inc., Kenilworth, NJ 07033, USA; (J.M.); (C.C.); (J.A.F.); (C.M.D.); (A.S.E.)
| | - Walter Knapp
- Safety Assessment and Laboratory Animal Resources, Merck & Co., Inc., Kenilworth, NJ 07033, USA;
| | - Jane Fontenot
- The New Iberia Research Center, University of Louisiana at Lafayette, New Iberia, LA 70560, USA;
| | - Pablo Morales
- The Mannheimer Foundation, Homestead, FL 33034, USA;
| | - Jessica A. Flynn
- Infectious Disease & Vaccines, Merck & Co., Inc., Kenilworth, NJ 07033, USA; (J.M.); (C.C.); (J.A.F.); (C.M.D.); (A.S.E.)
| | - Cameron M. Douglas
- Infectious Disease & Vaccines, Merck & Co., Inc., Kenilworth, NJ 07033, USA; (J.M.); (C.C.); (J.A.F.); (C.M.D.); (A.S.E.)
| | - Amy S. Espeseth
- Infectious Disease & Vaccines, Merck & Co., Inc., Kenilworth, NJ 07033, USA; (J.M.); (C.C.); (J.A.F.); (C.M.D.); (A.S.E.)
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17
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Abstract
Respiratory syncytial virus (RSV) is a common cause of acute lower respiratory tract infection and is responsible for a large proportion of infant morbidity and mortality worldwide. Most RSV-related deaths occur in children under six months, and the majority of these occur in low-income settings. To date, there is no known efficacious treatment for RSV infection; hence, prevention remains an important strategy to reduce the global burden of disease. Monoclonal antibodies and vaccinations are currently the two main approaches for prevention of RSV disease. Maternal RSV vaccination is of particular interest as a strategy to protect infants during their most vulnerable period as this approach has proven highly efficacious in other vaccine-preventable conditions such as pertussis and influenza. As results from ongoing phase III clinical trials become available, important decisions will need to be made about the priority and potential implementation of RSV vaccines alongside other public health measures.
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Affiliation(s)
- Ahinsa Gunatilaka
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
| | - Michelle L Giles
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia
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18
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A Multivariate Age-Structured Stochastic Model with Immunization Strategies to Describe Bronchiolitis Dynamics. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18147607. [PMID: 34300058 PMCID: PMC8305028 DOI: 10.3390/ijerph18147607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 11/24/2022]
Abstract
Bronchiolitis has a high morbidity in children under 2 years old. Respiratory syncytial virus (RSV) is the most common pathogen causing the disease. At present, there is only a costly humanized monoclonal RSV-specific antibody to prevent RSV. However, different immunization strategies are being developed. Hence, evaluation and comparison of their impact is important for policymakers. The analysis of the disease with a Bayesian stochastic compartmental model provided an improved and more natural description of its dynamics. However, the consideration of different age groups is still needed, since disease transmission greatly varies with age. In this work, we propose a multivariate age-structured stochastic model to understand bronchiolitis dynamics in children younger than 2 years of age considering high-quality data from the Valencia health system integrated database. Our modeling approach combines ideas from compartmental models and Bayesian hierarchical Poisson models in a novel way. Finally, we develop an extension of the model that simulates the effect of potential newborn immunization scenarios on the burden of disease. We provide an app tool that estimates the expected reduction in bronchiolitis episodes for a range of different values of uptake and effectiveness.
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19
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Drysdale SB, Barr RS, Rollier CS, Green CA, Pollard AJ, Sande CJ. Priorities for developing respiratory syncytial virus vaccines in different target populations. Sci Transl Med 2021; 12:12/535/eaax2466. [PMID: 32188721 DOI: 10.1126/scitranslmed.aax2466] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 09/25/2019] [Indexed: 01/13/2023]
Abstract
The development of an effective vaccine against respiratory syncytial virus (RSV) has been hampered by major difficulties that occurred in the 1960s when a formalin-inactivated vaccine led to increased severity of RSV disease after acquisition of the virus in the RSV season after vaccination. Recent renewed efforts to develop a vaccine have resulted in about 38 candidate vaccines and monoclonal antibodies now in clinical development. The target populations for effective vaccination are varied and include neonates, young children, pregnant women, and older adults. The reasons for susceptibility to infection in each of these groups may be different and, therefore, could require different vaccine types for induction of protective immune responses, adding a further challenge for vaccine development. Here, we review the current knowledge of RSV vaccine development for these target populations and propose a view and rationale for prioritizing RSV vaccine development.
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Affiliation(s)
- Simon B Drysdale
- Oxford Vaccine Group, Department of Paediatrics and the NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX3 7LE, UK. .,Institute of Infection and Immunity, St George's, University of London, London SW17 0RE, UK
| | - Rachael S Barr
- Taunton and Somerset NHS Foundation Trust, Taunton TA1 5DA, UK
| | - Christine S Rollier
- Oxford Vaccine Group, Department of Paediatrics and the NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX3 7LE, UK
| | - Christopher A Green
- Oxford Vaccine Group, Department of Paediatrics and the NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX3 7LE, UK
| | - Andrew J Pollard
- Oxford Vaccine Group, Department of Paediatrics and the NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX3 7LE, UK.,Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Charles J Sande
- Oxford Vaccine Group, Department of Paediatrics and the NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford OX3 7LE, UK. .,KEMRI-Wellcome Trust Research Programme, Kilifi 80108, Kenya
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20
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Prasad N, Read JM, Jewell C, Waite B, Trenholme AA, Huang QS, Grant CC, Newbern EC, Hogan AB. Modelling the impact of respiratory syncytial virus (RSV) vaccine and immunoprophylaxis strategies in New Zealand. Vaccine 2021; 39:4383-4390. [PMID: 34147296 DOI: 10.1016/j.vaccine.2021.05.100] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Mathematical models of respiratory syncytial virus (RSV) transmission can help describe seasonal epidemics and assess the impact of potential vaccines and immunoprophylaxis with monoclonal antibodies (mAb). METHODS We developed a deterministic, compartmental model for RSV transmission, which was fitted to population-based RSV hospital surveillance data from Auckland, New Zealand. The model simulated the introduction of either a maternal vaccine or a seasonal mAb among infants aged less than 6 months and estimated the reduction in RSV hospitalizations for a range of effectiveness and coverage values. RESULTS The model accurately reproduced the annual seasonality of RSV epidemics in Auckland. We found that a maternal vaccine with effectiveness of 30-40% in the first 90 days and 15-20% for the next 90 days could reduce RSV hospitalizations by 18-24% in children younger than 3 months, by 11-14% in children aged 3-5 months, and by 2-3% in children aged 6-23 months. A seasonal infant mAb with 40-60% effectiveness for 150 days could reduce RSV hospitalizations by 30-43%, 34-48% and by 14-21% in children aged 0-2 months, 3-5 months and 6-23 months, respectively. CONCLUSIONS Our results suggest that either a maternal RSV vaccine or mAb would effectively reduce RSV hospitalization disease burden in New Zealand. Overall, a seasonal mAb resulted in a larger disease prevention impact than a maternal vaccine.
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Affiliation(s)
- Namrata Prasad
- National Centre for Biosecurity and Infectious Disease, Institute of Environmental Science and Research, Upper Hutt, Wellington, New Zealand; Department of Paediatrics: Child & Youth Health, University of Auckland, Auckland, New Zealand.
| | - Jonathan M Read
- Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, United Kingdom
| | - Christopher Jewell
- Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, United Kingdom
| | - Ben Waite
- National Centre for Biosecurity and Infectious Disease, Institute of Environmental Science and Research, Upper Hutt, Wellington, New Zealand
| | - Adrian A Trenholme
- Kidz First Children's Hospital, Counties Manukau District Health Board, Auckland, New Zealand
| | - Q Sue Huang
- National Centre for Biosecurity and Infectious Disease, Institute of Environmental Science and Research, Upper Hutt, Wellington, New Zealand
| | - Cameron C Grant
- Department of Paediatrics: Child & Youth Health, University of Auckland, Auckland, New Zealand; General Paediatrics, Starship Children's Hospital, Auckland, New Zealand
| | - E Claire Newbern
- National Centre for Biosecurity and Infectious Disease, Institute of Environmental Science and Research, Upper Hutt, Wellington, New Zealand
| | - Alexandra B Hogan
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom
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21
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Adjustable Algorithmic Tool for Assessing the Effectiveness of Maternal Respiratory Syncytial Virus (RSV) Vaccination on Infant Mortality in Developing Countries. Infect Dis Obstet Gynecol 2021; 2021:5536633. [PMID: 34121834 PMCID: PMC8169270 DOI: 10.1155/2021/5536633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 05/05/2021] [Indexed: 11/21/2022] Open
Abstract
Acute lower respiratory infection (ALRI) due to RSV is a common cause of global infant mortality, with most cases occurring in developing countries. Using data aggregated from priority countries as designated by the United States Agency for International Development's (USAID) Maternal Child Health and Nutrition (MCHN) program, we created an adjustable algorithmic tool for visualizing the effectiveness of candidate maternal RSV vaccination on infant mortality. Country-specific estimates for disease burden and case fatality rates were computed based on established data. Country-specific RSV-ALRI incidence rates for infants 0-5 months were scaled based on the reported incidence rates for children 0-59 months. Using in-hospital mortality rates and predetermined “inflation factor,” we estimated the mortality of infants aged 0-5 months. Given implementation of a candidate maternal vaccination program, estimated reduction in infant RSV-ALRI incidence and mortality rates were calculated. User input is used to determine the coverage of the program and the efficacy of the vaccine. Using the generated algorithm, the overall reduction in infant mortality varied considerably depending on vaccine efficacy and distribution. Given a potential efficacy of 70% and a maternal distribution rate of 50% in every USAID MCHN priority country, annual RSV-ALRI-related infant mortality is estimated to be reduced by 14,862 cases. The absolute country-specific reduction is dependent on the number of live births; countries with the highest birth rates had the greatest impact on annual mortality reduction. The adjustable algorithm provides a standardized analytical tool in the evaluation of candidate maternal RSV vaccines. Ultimately, it can be used to guide public health initiatives, research funding, and policy implementation concerning the effectiveness of potential maternal RSV vaccination on reducing infant mortality.
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Treskova M, Pozo-Martin F, Scholz S, Schönfeld V, Wichmann O, Harder T. Assessment of the Effects of Active Immunisation against Respiratory Syncytial Virus (RSV) using Decision-Analytic Models: A Systematic Review with a Focus on Vaccination Strategies, Modelling Methods and Input Data. PHARMACOECONOMICS 2021; 39:287-315. [PMID: 33462760 PMCID: PMC7813556 DOI: 10.1007/s40273-020-00991-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/20/2020] [Indexed: 05/16/2023]
Abstract
BACKGROUND Several vaccine and antibody candidates are currently in development for the prevention of lower respiratory tract infections caused by the respiratory syncytial virus (RSV). METHODS We searched MEDLINE, Embase, and SCOPUS and included model-based evaluations of RSV vaccinations. Two reviewers performed the selection, data extraction, and quality evaluation with EVIDEM. Cost-effectiveness (CE) estimates were converted to $US purchasing power parity (PPP), year 2018 values. Potential economic and epidemiological outcomes were summarised for maternal, infant, children, and elderly vaccinations. The PROSPERO identifier is CRD42019122570. RESULTS In total, 22 model-based studies were reviewed. On average, a potential 27% reduction in RSV hospitalisations in infants was projected for maternal vaccination and 50% for direct infant immunisation. The CE of maternal vaccination was $US1766-5857 PPP 2018/disability-adjusted life-years (DALYs) for Global Alliance for Vaccines and Immunisation (Gavi)-eligible countries. For England, the maximum cost-effective price of maternal vaccination was estimated at $US81.5 PPP 2018. Infant vaccination was associated with higher CE ratios in low- and high-income settings. Vaccination of neonates born before the RSV season was the most cost effective in high-income settings. Higher values for vaccine effectiveness, duration of protection, and vaccine uptake increased the benefits. Due to indirect effects, the vaccination of school-age children and a cocooning strategy were effective alternatives to protect infants, and the vaccination of children aged < 5 years had a beneficial impact on the elderly. CONCLUSION RSV vaccines with anticipated characteristics may reduce a sizeable proportion of the RSV burden. The results are subject to uncertainty because of the limited epidemiological and clinical data. Data on RSV incidence and hospitalisation risk for granular age strata should be prioritised to facilitate the evaluation of RSV interventions and decision making.
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Affiliation(s)
- Marina Treskova
- Immunization Unit, Robert Koch Institute, Seestrasse 10, 13353, Berlin, Germany.
| | | | - Stefan Scholz
- Immunization Unit, Robert Koch Institute, Seestrasse 10, 13353, Berlin, Germany
| | - Viktoria Schönfeld
- Immunization Unit, Robert Koch Institute, Seestrasse 10, 13353, Berlin, Germany
| | - Ole Wichmann
- Immunization Unit, Robert Koch Institute, Seestrasse 10, 13353, Berlin, Germany
| | - Thomas Harder
- Immunization Unit, Robert Koch Institute, Seestrasse 10, 13353, Berlin, Germany
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23
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Kombe IK, Agoti CN, Munywoki PK, Baguelin M, Nokes DJ, Medley GF. Integrating epidemiological and genetic data with different sampling intensities into a dynamic model of respiratory syncytial virus transmission. Sci Rep 2021; 11:1463. [PMID: 33446831 PMCID: PMC7809427 DOI: 10.1038/s41598-021-81078-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 01/04/2021] [Indexed: 01/06/2023] Open
Abstract
Respiratory syncytial virus (RSV) is responsible for a significant burden of severe acute lower respiratory tract illness in children under 5 years old; particularly infants. Prior to rolling out any vaccination program, identification of the source of infant infections could further guide vaccination strategies. We extended a dynamic model calibrated at the individual host level initially fit to social-temporal data on shedding patterns to include whole genome sequencing data available at a lower sampling intensity. The study population was 493 individuals (55 aged < 1 year) distributed across 47 households, observed through one RSV season in coastal Kenya. We found that 58/97 (60%) of RSV-A and 65/125 (52%) of RSV-B cases arose from infection probably occurring within the household. Nineteen (45%) infant infections appeared to be the result of infection by other household members, of which 13 (68%) were a result of transmission from a household co-occupant aged between 2 and 13 years. The applicability of genomic data in studies of transmission dynamics is highly context specific; influenced by the question, data collection protocols and pathogen under investigation. The results further highlight the importance of pre-school and school-aged children in RSV transmission, particularly the role they play in directly infecting the household infant. These age groups are a potential RSV vaccination target group.
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Affiliation(s)
- Ivy K Kombe
- KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya.
| | - Charles N Agoti
- KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya
| | - Patrick K Munywoki
- KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya
| | - Marc Baguelin
- Centre for Mathematical Modelling of Infectious Disease and Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1H 9SH, UK
| | - D James Nokes
- KEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medical Research-Coast, P.O. Box 230-80108, Kilifi, Kenya.,School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, CV4 7AL, UK
| | - Graham F Medley
- Centre for Mathematical Modelling of Infectious Disease and Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, WC1H 9SH, UK
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Arenas AJ, González-Parra G, De La Espriella N. Nonlinear dynamics of a new seasonal epidemiological model with age-structure and nonlinear incidence rate. COMPUTATIONAL AND APPLIED MATHEMATICS 2021; 40:46. [PMCID: PMC7877536 DOI: 10.1007/s40314-021-01430-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/18/2021] [Accepted: 01/20/2021] [Indexed: 06/28/2023]
Abstract
In this article, we study the dynamics of a new proposed age-structured population mathematical model driven by a seasonal forcing function that takes into account the variability of the climate. We introduce a generalized force of infection function to study different potential disease outcomes. Using nonlinear analysis tools and differential inequalities theorems, we obtain sufficient conditions that guarantee the existence of a positive periodic solution. Moreover, we provide sufficient conditions that assure the global attractivity of the positive periodic solution. Numerical results corroborate the theoretical results in the sense that the solutions are positive and the periodic solution is a global attractor. This type of models are important, since they take into account the variability of the weather and the impact on some epidemics such as the current COVID-19 pandemic.
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Affiliation(s)
- Abraham J. Arenas
- Departamento de Matemáticas y Estadística, Universidad de Córdoba, Montería, Colombia
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25
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Efstathiou C, Abidi SH, Harker J, Stevenson NJ. Revisiting respiratory syncytial virus's interaction with host immunity, towards novel therapeutics. Cell Mol Life Sci 2020; 77:5045-5058. [PMID: 32556372 PMCID: PMC7298439 DOI: 10.1007/s00018-020-03557-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/24/2022]
Abstract
Every year there are > 33 million cases of Respiratory Syncytial Virus (RSV)-related respiratory infection in children under the age of five, making RSV the leading cause of lower respiratory tract infection (LRTI) in infants. RSV is a global infection, but 99% of related mortality is in low/middle-income countries. Unbelievably, 62 years after its identification, there remains no effective treatment nor vaccine for this deadly virus, leaving infants, elderly and immunocompromised patients at high risk. The success of all pathogens depends on their ability to evade and modulate the host immune response. RSV has a complex and intricate relationship with our immune systems, but a clearer understanding of these interactions is essential in the development of effective medicines. Therefore, in a bid to update and focus our research community's understanding of RSV's interaction with immune defences, this review aims to discuss how our current knowledgebase could be used to combat this global viral threat.
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Affiliation(s)
- C Efstathiou
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
| | - S H Abidi
- Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan
| | - J Harker
- Inflammation, Repair and Development Section, National Heart and Lung Institute, Imperial College London, South Kensington, London, UK
| | - N J Stevenson
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
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26
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Nyiro JU, Bukusi E, Mwaengo D, Walumbe D, Nyaguara A, Nyawanda B, Otieno N, Berkley JA, Munywoki P, Nokes DJ. Implications of gestational age at antenatal care attendance on the successful implementation of a maternal respiratory syncytial virus (RSV) vaccine program in coastal Kenya. BMC Public Health 2020; 20:1723. [PMID: 33198696 PMCID: PMC7670712 DOI: 10.1186/s12889-020-09841-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 11/04/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Maternal immunisation to boost respiratory syncytial virus (RSV) specific antibodies in pregnant women is a strategy to enhance infant protection. The timing of maternal vaccination during pregnancy may be critical for its effectiveness. However, Kenya has no documented published data on gestational age distribution of pregnant women attending antenatal care (ANC), or the proportion of women attending ANC during the proposed window period for vaccination, to inform appropriate timing for delivery or estimate potential uptake of this vaccine. METHODS A cross-sectional survey was conducted within the Kilifi Health and Demographic Surveillance System (KHDSS), coastal Kenya. A simple random sample of 1000 women who had registered pregnant in 2017 to 2018 and with a birth outcome by the time of data collection was taken. The selected women were followed at their homes, and individually written informed consent was obtained. Records of their antenatal attendance during pregnancy were abstracted from their ANC booklet. The proportion of all pregnant women from KHDSS (55%) who attended for one or more ANC in 2018 was used to estimate vaccine coverage. RESULTS Of the 1000 women selected, 935 were traced with 607/935 (64.9%) available for interview, among whom 470/607 (77.4%) had antenatal care booklets. The median maternal age during pregnancy was 28.6 years. The median (interquartile range) gestational age in weeks at the first to fifth ANC attendance was 26 (21-28), 29 (26-32), 32 (28-34), 34 (32-36) and 36 (34-38), respectively. The proportion of women attending for ANC during a gestational age window for vaccination of 28-32 weeks (recommended), 26-33 weeks and 24-36 weeks was 76.6% (360/470), 84.5% (397/470) and 96.2% (452/470), respectively. Estimated vaccine coverage was 42.1, 46.5 and 52.9% within the narrow, wide and wider gestational age windows, respectively. CONCLUSIONS In a random sample of pregnant women from Kilifi HDSS, Coastal Kenya with card-confirmed ANC clinic attendance, 76.6% would be reached for maternal RSV vaccination within the gestational age window of 28-32 weeks. Widening the vaccination window (26-33 weeks) or (24-36 weeks) would not dramatically increase vaccine coverage and would require consideration of antibody kinetics data that could affect vaccine efficacy.
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Affiliation(s)
- Joyce U Nyiro
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya.
| | - Elizabeth Bukusi
- Kenya Medical Research Institute (KEMRI), Centre for Microbiology Research, Nairobi, Kenya
- University of Nairobi, Institute of Tropical and Infectious Diseases, Nairobi, Kenya
| | - Dufton Mwaengo
- University of Nairobi, Institute of Tropical and Infectious Diseases, Nairobi, Kenya
| | - David Walumbe
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya
| | - Amek Nyaguara
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya
| | - Bryan Nyawanda
- Kenya Medical Research Institute (KEMRI), Centre for Global Health Research, Kisumu, Kenya
| | - Nancy Otieno
- Kenya Medical Research Institute (KEMRI), Centre for Global Health Research, Kisumu, Kenya
| | - James A Berkley
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya
| | - Patrick Munywoki
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya
| | - D James Nokes
- Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Centre for Geographic Medicine Research-Coast, P.O Box 230-80108, Kilifi, Kenya
- School of Life Sciences and Zeeman Institute (SBIDER), University of Warwick, Coventry, UK
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27
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Campbell PT, Geard N, Hogan AB. Modelling the household-level impact of a maternal respiratory syncytial virus (RSV) vaccine in a high-income setting. BMC Med 2020; 18:319. [PMID: 33176774 PMCID: PMC7661211 DOI: 10.1186/s12916-020-01783-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 09/15/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Respiratory syncytial virus (RSV) infects almost all children by the age of 2 years, with the risk of hospitalisation highest in the first 6 months of life. Development and licensure of a vaccine to prevent severe RSV illness in infants is a public health priority. A recent phase 3 clinical trial estimated the efficacy of maternal vaccination at 39% over the first 90 days of life. Households play a key role in RSV transmission; however, few estimates of population-level RSV vaccine impact account for household structure. METHODS We simulated RSV transmission within a stochastic, individual-based model framework, using an existing demographic model, structured by age and household and parameterised with Australian data, as an exemplar of a high-income country. We modelled vaccination by immunising pregnant women and explicitly linked the immune status of each mother-infant pair. We quantified the impact on children for a range of vaccine properties and uptake levels. RESULTS We found that a maternal immunisation strategy would have the most substantial impact in infants younger than 3 months, reducing RSV infection incidence in this age group by 16.6% at 70% vaccination coverage. In children aged 3-6 months, RSV infection was reduced by 5.3%. Over the first 6 months of life, the incidence rate for infants born to unvaccinated mothers was 1.26 times that of infants born to vaccinated mothers. The impact in older age groups was more modest, with evidence of infections being delayed to the second year of life. CONCLUSIONS Our findings show that while individual benefit from maternal RSV vaccination could be substantial, population-level reductions may be more modest. Vaccination impact was sensitive to the extent that vaccination prevented infection, highlighting the need for more vaccine trial data.
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Affiliation(s)
- Patricia T. Campbell
- Epidemiology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria Australia
- School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Nicholas Geard
- Epidemiology, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria Australia
- School of Computing and Information Systems, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia
| | - Alexandra B. Hogan
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
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McMorrow ML, Tempia S, Walaza S, Treurnicht FK, Moyes J, Cohen AL, Pretorius M, Hellferscee O, Wolter N, von Gottberg A, Nguweneza A, McAnerney JM, Naby F, Mekgoe O, Venter M, Madhi SA, Cohen C. The Impact of Human Immunodeficiency Virus Exposure on Respiratory Syncytial Virus-associated Severe Respiratory Illness in South African Infants, 2011-2016. Clin Infect Dis 2020; 69:2208-2211. [PMID: 30963178 DOI: 10.1093/cid/ciz288] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 04/04/2019] [Indexed: 11/14/2022] Open
Abstract
From 2011 through 2016, we conducted surveillance for severe respiratory illness in infants. Human immunodeficiency virus exposure significantly increased the risk of respiratory syncytial virus (RSV)-associated hospitalization in infants aged <5 months. More than 60% of RSV-associated hospitalizations occurred in the first 4 months of life and may be preventable through maternal vaccination or birth-dose monoclonal antibody.
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Affiliation(s)
- Meredith L McMorrow
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia.,Influenza Program, Centers for Disease Control and Prevention, Pretoria, South Africa.,US Public Health Service, Rockville, Maryland
| | - 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.,Mass Genics, Duluth, Georgia
| | - 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, 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.,School of Pathology, 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, 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.,US Public Health Service, Rockville, Maryland.,Expanded Programme on Immunization, Department of Immunization, Vaccines and Biological, World Health Organization, Geneva
| | - Marthi Pretorius
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.,Technical Research and Development, Novartis Pharma AG, Basel, Switzerland
| | - 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
| | - Arthemon 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
| | - Fathima Naby
- Department of Paediatrics, Pietermaritzburg Metropolitan Hospitals, University of KwaZulu-Natal
| | - Omphile Mekgoe
- Department of Paediatrics, Klerksdorp Hospital, North West Province
| | - Marietjie Venter
- Emerging Vectorborne and Respiratory Virus Program, Center for Viral Zoonoses, Department of Medical Virology, University of Pretoria
| | - Shabir A Madhi
- Medical Research Council, Respiratory and Meningeal Pathogens Research Unit, Johannesburg, South Africa.,Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases, 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, Johannesburg, South Africa
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Li X, Willem L, Antillon M, Bilcke J, Jit M, Beutels P. Health and economic burden of respiratory syncytial virus (RSV) disease and the cost-effectiveness of potential interventions against RSV among children under 5 years in 72 Gavi-eligible countries. BMC Med 2020; 18:82. [PMID: 32248817 PMCID: PMC7132892 DOI: 10.1186/s12916-020-01537-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 02/18/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Respiratory syncytial virus (RSV) frequently causes acute lower respiratory infection in children under 5, representing a high burden in Gavi-eligible countries (mostly low-income and lower-middle-income). Since multiple RSV interventions, including vaccines and monoclonal antibody (mAb) candidates, are under development, we aim to evaluate the key drivers of the cost-effectiveness of maternal vaccination and infant mAb for 72 Gavi countries. METHODS A static Multi-Country Model Application for RSV Cost-Effectiveness poLicy (MCMARCEL) was developed to follow RSV-related events monthly from birth until 5 years of age. MCMARCEL was parameterised using country- and age-specific demographic, epidemiological, and cost data. The interventions' level and duration of effectiveness were guided by the World Health Organization's preferred product characteristics and other literature. Maternal vaccination and mAb were assumed to require single-dose administration at prices assumed to align with other Gavi-subsidised technologies. The effectiveness and the prices of the interventions were simultaneously varied in extensive scenario analyses. Disability-adjusted life years (DALYs) were the primary health outcomes for cost-effectiveness, integrated with probabilistic sensitivity analyses and Expected Value of Partially Perfect Information analysis. RESULTS The RSV-associated disease burden among children in these 72 countries is estimated at an average of 20.8 million cases, 1.8 million hospital admissions, 40 thousand deaths, 1.2 million discounted DALYs, and US$611 million discounted direct costs. Strategy 'mAb' is more effective due to its assumed longer duration of protection versus maternal vaccination, but it was also assumed to be more expensive. Given all parameterised uncertainty, the optimal strategy of choice tends to change for increasing willingness to pay (WTP) values per DALY averted from the current situation to maternal vaccination (at WTP > US$1000) to mAB (at WTP > US$3500). The age-specific proportions of cases that are hospitalised and/or die cause most of the uncertainty in the choice of optimal strategy. Results are broadly similar across countries. CONCLUSIONS Both the maternal and mAb strategies need to be competitively priced to be judged as relatively cost-effective. Information on the level and duration of protection is crucial, but also more and better disease burden evidence-especially on RSV-attributable hospitalisation and death rates-is needed to support policy choices when novel RSV products become available.
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Affiliation(s)
- Xiao Li
- Centre for Health Economics Research & Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, Antwerp, Belgium.
| | - Lander Willem
- Centre for Health Economics Research & Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, Antwerp, Belgium
| | - Marina Antillon
- Centre for Health Economics Research & Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, Antwerp, Belgium.,Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel, Switzerland.,University of Basel, Petersplatz 1, Basel, Switzerland
| | - Joke Bilcke
- Centre for Health Economics Research & Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, Antwerp, Belgium
| | - Mark Jit
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, Bloomsbury, London, UK
| | - Philippe Beutels
- Centre for Health Economics Research & Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, Antwerp, Belgium
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30
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Rainisch G, Adhikari B, Meltzer MI, Langley G. Estimating the impact of multiple immunization products on medically-attended respiratory syncytial virus (RSV) infections in infants. Vaccine 2020; 38:251-257. [PMID: 31740097 PMCID: PMC7029767 DOI: 10.1016/j.vaccine.2019.10.023] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 10/01/2019] [Accepted: 10/08/2019] [Indexed: 11/10/2022]
Abstract
BACKGROUND Palivizumab, a monoclonal antibody and the only licensed immunization product for preventing respiratory syncytial virus (RSV) infection, is recommended for children with certain high-risk conditions. Other antibody products and maternal vaccines targeting young infants are in clinical development. Few studies have compared products closest to potential licensure and have primarily focused on the effects on hospitalizations only. Estimates of the impact of these products on medically-attended (MA) infections in a variety of healthcare settings are needed to assist with developing RSV immunization recommendations. METHODS We developed a tool for practicing public health officials to estimate the impact of immunization strategies on RSV-associated MA lower respiratory tract infections (LRTIs) in various healthcare settings among infants <12 months. Users input RSV burden and seasonality and examine the influence of altering product efficacy and uptake assumptions. We used the tool to evaluate candidate products' impacts among a US birth cohort. RESULTS We estimated without immunization, 407,360 (range: 339,650-475,980) LRTIs are attended annually in outpatient clinics, 147,240 (126,070-168,510) in emergency departments (EDs), and 33,180 (24,760-42,900) in hospitals. A passive antibody candidate targeting all infants prevented the most LRTIs: 196,470 (48% of visits without immunization) outpatient clinic visits (range: 163,810-229,650), 75,250 (51%) EDs visits (64,430-86,090), and 18,140 (55%) hospitalizations (13,770-23,160). A strategy combining maternal vaccine candidate and palivizumab prevented 58,210 (14% of visits without immunization) LRTIs in outpatient clinics (range: 48,520-67,970), 19,580 (13%) in EDs (16,760-22,400), and 8,190 (25%) hospitalizations (6,390-10,150). CONCLUSIONS Results underscore the potential for anticipated products to reduce serious RSV illness. Our tool (provided to readers) can be used by different jurisdictions and accept updated data. Results can aid economic evaluations and public health decision-making regarding RSV immunization products.
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Affiliation(s)
- Gabriel Rainisch
- US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA; National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), USA.
| | - Bishwa Adhikari
- US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA; National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), USA
| | - Martin I Meltzer
- US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA; National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), USA
| | - Gayle Langley
- US Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA; National Center for Immunization and Respiratory Diseases (NCIRD), USA
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31
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Scheltema NM, Kavelaars XM, Thorburn K, Hennus MP, van Woensel JB, van der Ent CK, Borghans JAM, Bont LJ, Drylewicz J. Potential impact of maternal vaccination on life-threatening respiratory syncytial virus infection during infancy. Vaccine 2018; 36:4693-4700. [PMID: 29941327 DOI: 10.1016/j.vaccine.2018.06.021] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 06/05/2018] [Accepted: 06/08/2018] [Indexed: 12/22/2022]
Abstract
BACKGROUND Respiratory syncytial virus (RSV) infection is an important cause of infant mortality. Here, we estimated the potential impact of maternal vaccination against RSV on life-threatening RSV infection in infants. METHODS We developed a mathematical model for maternal vaccine-induced antibody dynamics and used characteristics of a maternal RSV vaccine currently in phase 3 of clinical development. The model was applied to data from two cohorts of children younger than 12 months with RSV-related paediatric intensive care unit (PICU) admission in the United Kingdom (n = 370) and the Netherlands (n = 167), and a cohort of 211 children younger than 12 months with RSV-related in-hospital death from 20 countries worldwide. RESULTS Our model predicted that, depending on vaccine efficiency, maternal vaccination at 30 weeks' gestational age could have prevented 62-75% of RSV-related PICU admissions in the United Kingdom and 76-87% in the Netherlands. For the global mortality cohort, the model predicted that maternal vaccination could have prevented 29-48% of RSV-related in-hospital deaths. Preterm children and children with comorbidities were predicted to benefit less than (healthy) term children. CONCLUSIONS Maternal vaccination against RSV may substantially decrease life-threatening RSV infections in infants.
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Affiliation(s)
- Nienke M Scheltema
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Xynthia M Kavelaars
- Department of Methods and Statistics, Tilburg University, Tilburg, The Netherlands
| | - Kentigern Thorburn
- Department of Paediatric Intensive Care, Alder Hey Children's Hospital, Liverpool, United Kingdom
| | - Marije P Hennus
- Department of Paediatric Intensive Care, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Job B van Woensel
- Department of Paediatric Intensive Care, Emma Children's Hospital, Academic Medical Centre, Amsterdam, The Netherlands
| | - Cornelis K van der Ent
- Department of Paediatric Pulmonology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, The Netherlands
| | - José A M Borghans
- Laboratory of Translational Immunology, Department of Immunology, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Louis J Bont
- Department of Paediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands; Laboratory of Translational Immunology, Department of Immunology, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Julia Drylewicz
- Laboratory of Translational Immunology, Department of Immunology, University Medical Centre Utrecht, Utrecht, the Netherlands.
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