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Dahlgren FS, Foppa IM, Stockwell MS, Vargas CY, LaRussa P, Reed C. Household transmission of influenza A and B within a prospective cohort during the 2013-2014 and 2014-2015 seasons. Stat Med 2021; 40:6260-6276. [PMID: 34580901 PMCID: PMC9293304 DOI: 10.1002/sim.9181] [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: 05/17/2021] [Revised: 07/22/2021] [Accepted: 08/15/2021] [Indexed: 01/01/2023]
Abstract
People living within the same household as someone ill with influenza are at increased risk of infection. Here, we use Markov chain Monte Carlo methods to partition the hazard of influenza illness within a cohort into the hazard from the community and the hazard from the household. During the 2013‐2014 influenza season, 49 (4.7%) of the 1044 people enrolled in a community surveillance cohort had an acute respiratory illness (ARI) attributable to influenza. During the 2014‐2015 influenza season, 50 (4.7%) of the 1063 people in the cohort had an ARI attributable to influenza. The secondary attack rate from a household member was 2.3% for influenza A (H1) during 2013‐2014, 5.3% for influenza B during 2013‐2014, and 7.6% for influenza A (H3) during 2014‐2015. Living in a household with a person ill with influenza increased the risk of an ARI attributable to influenza up to 350%, depending on the season and the influenza virus circulating within the household.
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Affiliation(s)
- F Scott Dahlgren
- Influenza Division, Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ivo M Foppa
- Influenza Division, Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,Battelle Memorial Institute, Atlanta, Georgia, USA
| | - Melissa S Stockwell
- Division of Child and Adolescent Health, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA.,Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, New York, USA
| | - Celibell Y Vargas
- Division of Child and Adolescent Health, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Philip LaRussa
- Division of Pediatric Infectious Diseases, Department of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York, USA
| | - Carrie Reed
- Influenza Division, Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Mamelund SE, Shelley-Egan C, Rogeberg O. The association between socioeconomic status and pandemic influenza: Systematic review and meta-analysis. PLoS One 2021; 16:e0244346. [PMID: 34492018 PMCID: PMC8423272 DOI: 10.1371/journal.pone.0244346] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 08/12/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The objective of this study is to document whether and to what extent there is an association between socioeconomic status (SES) and disease outcomes in the last five influenza pandemics. METHODS/PRINCIPLE FINDINGS The review included studies published in English, Danish, Norwegian and Swedish. Records were identified through systematic literature searches in six databases. We summarized results narratively and through meta-analytic strategies. Only studies for the 1918 and 2009 pandemics were identified. Of 14 studies on the 2009 pandemic including data on both medical and social risk factors, after controlling for medical risk factors 8 demonstrated independent impact of SES. In the random effect analysis of 46 estimates from 35 studies we found a pooled mean odds ratio of 1.4 (95% CI: 1.2-1.7, p < 0.001), comparing the lowest to the highest SES, but with substantial effect heterogeneity across studies,-reflecting differences in outcome measures and definitions of case and control samples. Analyses by pandemic period (1918 or 2009) and by level of SES measure (individual or ecological) indicated no differences along these dimensions. Studies using healthy controls tended to document that low SES was associated with worse influenza outcome, and studies using infected controls find low SES associated with more severe outcomes. A few studies compared severe outcomes (ICU or death) to hospital admissions but these did not find significant SES associations in any direction. Studies with more unusual comparisons (e.g., pandemic vs seasonal influenza, seasonal influenza vs other patient groups) reported no or negative non-significant associations. CONCLUSIONS/SIGNIFICANCE We found that SES was significantly associated with pandemic influenza outcomes with people of lower SES having the highest disease burden in both 1918 and 2009. To prepare for future pandemics, we must consider social vulnerability. The protocol for this study has been registered in PROSPERO (ref. no 87922) and has been published Mamelund et al. (2019).
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Affiliation(s)
- Svenn-Erik Mamelund
- Centre for Research on Pandemics & Society, Oslo Metropolitan University, Oslo, Norway
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3
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Koh WC, Naing L, Chaw L, Rosledzana MA, Alikhan MF, Jamaludin SA, Amin F, Omar A, Shazli A, Griffith M, Pastore R, Wong J. What do we know about SARS-CoV-2 transmission? A systematic review and meta-analysis of the secondary attack rate and associated risk factors. PLoS One 2020; 15:e0240205. [PMID: 33031427 PMCID: PMC7544065 DOI: 10.1371/journal.pone.0240205] [Citation(s) in RCA: 132] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 09/23/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Current SARS-CoV-2 containment measures rely on controlling viral transmission. Effective prioritization can be determined by understanding SARS-CoV-2 transmission dynamics. We conducted a systematic review and meta-analyses of the secondary attack rate (SAR) in household and healthcare settings. We also examined whether household transmission differed by symptom status of index case, adult and children, and relationship to index case. METHODS We searched PubMed, medRxiv, and bioRxiv databases between January 1 and July 25, 2020. High-quality studies presenting original data for calculating point estimates and 95% confidence intervals (CI) were included. Random effects models were constructed to pool SAR in household and healthcare settings. Publication bias was assessed by funnel plots and Egger's meta-regression test. RESULTS 43 studies met the inclusion criteria for household SAR, 18 for healthcare SAR, and 17 for other settings. The pooled household SAR was 18.1% (95% CI: 15.7%, 20.6%), with significant heterogeneity across studies ranging from 3.9% to 54.9%. SAR of symptomatic index cases was higher than asymptomatic cases (RR: 3.23; 95% CI: 1.46, 7.14). Adults showed higher susceptibility to infection than children (RR: 1.71; 95% CI: 1.35, 2.17). Spouses of index cases were more likely to be infected compared to other household contacts (RR: 2.39; 95% CI: 1.79, 3.19). In healthcare settings, SAR was estimated at 0.7% (95% CI: 0.4%, 1.0%). DISCUSSION While aggressive contact tracing strategies may be appropriate early in an outbreak, as it progresses, measures should transition to account for setting-specific transmission risk. Quarantine may need to cover entire communities while tracing shifts to identifying transmission hotspots and vulnerable populations. Where possible, confirmed cases should be isolated away from the household.
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Affiliation(s)
- Wee Chian Koh
- Centre for Strategic and Policy Studies, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Lin Naing
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Liling Chaw
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Muhammad Ali Rosledzana
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Mohammad Fathi Alikhan
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Sirajul Adli Jamaludin
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Faezah Amin
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Asiah Omar
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Alia Shazli
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Matthew Griffith
- Western Pacific Regional Office (Manila), World Health Organization, Manila, Philippines
| | - Roberta Pastore
- Western Pacific Regional Office (Manila), World Health Organization, Manila, Philippines
| | - Justin Wong
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
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4
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Koh WC, Naing L, Chaw L, Rosledzana MA, Alikhan MF, Jamaludin SA, Amin F, Omar A, Shazli A, Griffith M, Pastore R, Wong J. What do we know about SARS-CoV-2 transmission? A systematic review and meta-analysis of the secondary attack rate and associated risk factors. PLoS One 2020; 15:e0240205. [PMID: 33031427 DOI: 10.1101/2020.05.21.20108746] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 09/23/2020] [Indexed: 05/28/2023] Open
Abstract
INTRODUCTION Current SARS-CoV-2 containment measures rely on controlling viral transmission. Effective prioritization can be determined by understanding SARS-CoV-2 transmission dynamics. We conducted a systematic review and meta-analyses of the secondary attack rate (SAR) in household and healthcare settings. We also examined whether household transmission differed by symptom status of index case, adult and children, and relationship to index case. METHODS We searched PubMed, medRxiv, and bioRxiv databases between January 1 and July 25, 2020. High-quality studies presenting original data for calculating point estimates and 95% confidence intervals (CI) were included. Random effects models were constructed to pool SAR in household and healthcare settings. Publication bias was assessed by funnel plots and Egger's meta-regression test. RESULTS 43 studies met the inclusion criteria for household SAR, 18 for healthcare SAR, and 17 for other settings. The pooled household SAR was 18.1% (95% CI: 15.7%, 20.6%), with significant heterogeneity across studies ranging from 3.9% to 54.9%. SAR of symptomatic index cases was higher than asymptomatic cases (RR: 3.23; 95% CI: 1.46, 7.14). Adults showed higher susceptibility to infection than children (RR: 1.71; 95% CI: 1.35, 2.17). Spouses of index cases were more likely to be infected compared to other household contacts (RR: 2.39; 95% CI: 1.79, 3.19). In healthcare settings, SAR was estimated at 0.7% (95% CI: 0.4%, 1.0%). DISCUSSION While aggressive contact tracing strategies may be appropriate early in an outbreak, as it progresses, measures should transition to account for setting-specific transmission risk. Quarantine may need to cover entire communities while tracing shifts to identifying transmission hotspots and vulnerable populations. Where possible, confirmed cases should be isolated away from the household.
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Affiliation(s)
- Wee Chian Koh
- Centre for Strategic and Policy Studies, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Lin Naing
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Liling Chaw
- PAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Muhammad Ali Rosledzana
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Mohammad Fathi Alikhan
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Sirajul Adli Jamaludin
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Faezah Amin
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Asiah Omar
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Alia Shazli
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
| | - Matthew Griffith
- Western Pacific Regional Office (Manila), World Health Organization, Manila, Philippines
| | - Roberta Pastore
- Western Pacific Regional Office (Manila), World Health Organization, Manila, Philippines
| | - Justin Wong
- Disease Control Division, Ministry of Health, Brunei Darussalam, Bandar Seri Begawan, Brunei
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Thommes EW, Kruse M, Kohli M, Sharma R, Noorduyn SG. Review of seasonal influenza in Canada: Burden of disease and the cost-effectiveness of quadrivalent inactivated influenza vaccines. Hum Vaccin Immunother 2017; 13:867-876. [PMID: 27858509 PMCID: PMC5404371 DOI: 10.1080/21645515.2016.1251537] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 09/26/2016] [Accepted: 10/18/2016] [Indexed: 11/27/2022] Open
Abstract
In the 2015/16 influenza season, the Canadian National Advisory Committee on Immunization (NACI) recommended vaccination with quadrivalent inactivated influenza vaccine (QIV) for infants aged 6-23 months and trivalent inactivated influenza vaccines (TIVs) or QIVs in adults. The objective of this review (GSK study identifier: HO-13-14054) is to examine the epidemiology and disease burden of influenza in Canada and the economic benefits of vaccination. To inform this review, we performed a systematic literature search of relevant Canadian literature and National surveillance data. Influenza B viruses from phylogenetically-distinct lineages (B/Yamagata and B/Victoria) co-circulate in Canada, and are an important cause of influenza complications. Modeling studies, including those postdating the search suggest that switching from TIV to QIV in Canada reduces the burden of influenza and would likely be cost-effective. However, more robust real-world outcomes data is required to inform health policy decision makers on appropriate influenza vaccination strategies for Canada.
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Affiliation(s)
- Edward W. Thommes
- GSK, Health Economics and Outcomes Research, Mississauga, Ontario, Canada
- Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada
| | - Morgan Kruse
- Optum, Health Economics and Outcomes Research, San Jose, CA, USA
| | - Michele Kohli
- Optum, Health Economics and Outcomes Research, Burlington, Ontario, Canada
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6
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Izurieta P, Uy-Aragon MJ, Dramé M, Vaughn DW. Assessment of Prime-boost Vaccination Using an AS03B-adjuvanted Influenza A (H5N1) Vaccine: A Randomized Trial in Children of Three to Less Than Eighteen Years of Age. Pediatr Infect Dis J 2016; 35:e35-47. [PMID: 26551446 DOI: 10.1097/inf.0000000000000968] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Heterologous prime-boost vaccination is a pandemic response strategy utilizing subtype-matched vaccine at pandemic onset followed by strain-matched vaccine once available. Persistence of immune response and safety of influenza A (H5N1) vaccine adjuvanted with adjuvant system containing α-tocopherol and squalene in an oil-in-water emulsion (AS03B) were evaluated. METHODS An open phase 3 active-controlled study (www.clinicaltrials.gov NCT01379937) assessed immunogenicity and reactogenicity of a heterologous booster dose of A/turkey/Turkey/1/2005-H5N1-AS03B in children 3 to <18 years of age, given 6 months after 2-dose priming with A/Indonesia/05/2005-H5N1-AS03B (H5N1(2) -H5N1 group) compared with a single dose of A/turkey/Turkey/1/2005-H5N1-AS03B in unprimed subjects (hepatitis A vaccine (HAV)-H5N1 group). Hemagglutinin inhibition responses and microneutralization antibodies were assessed to 6 months after booster vaccination. RESULTS Hemagglutinin inhibition antibody responses against A/turkey/Turkey/1/2005-H5N1 were superior in the H5N1(2)-H5N1 versus the hepatitis A vaccine-H5N1 group overall and in each age strata (3 to <10 and 10 to <18 years). Anamnestic immune responses were demonstrated against vaccine-homologous/heterologous strains in the H5N1(2)-H5N1 group. Injection site pain and fever increased with consecutive doses for children <6 years (H5N1(2)-H5N1). Immune responses to vaccine-homologous/heterologous strains persisted to 6 months after booster vaccination in the H5N1(2)-H5N1 group. CONCLUSIONS Heterologous H5N1-AS03B-adjuvanted booster vaccination in children/adolescents was immunogenic for vaccine-homologous and heterologous strains following 2-dose priming, with immune persistence for at least 6 months. Prime-boost strategies using H5N1-AS03 could be effectively employed in this age group.
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Affiliation(s)
- Patricia Izurieta
- From the *GSK Vaccines, Wavre, Belgium; †Research Institute for Tropical Medicine, Muntinlupa City, Philippines; and ‡GSK Vaccines, King of Prussia, Pennsylvania
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7
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Tsang TK, Lau LLH, Cauchemez S, Cowling BJ. Household Transmission of Influenza Virus. Trends Microbiol 2015; 24:123-133. [PMID: 26612500 PMCID: PMC4733423 DOI: 10.1016/j.tim.2015.10.012] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 10/05/2015] [Accepted: 10/28/2015] [Indexed: 12/13/2022]
Abstract
Human influenza viruses cause regular epidemics and occasional pandemics with a substantial public health burden. Household transmission studies have provided valuable information on the dynamics of influenza transmission. We reviewed published studies and found that once one household member is infected with influenza, the risk of infection in a household contact can be up to 38%, and the delay between onset in index and secondary cases is around 3 days. Younger age was associated with higher susceptibility. In the future, household transmission studies will provide information on transmission dynamics, including the correlation of virus shedding and symptoms with transmission, and the correlation of new measures of immunity with protection against infection. Historically, household cohort studies have provided valuable information on the incidence of respiratory infections and risk factors for infection. However, these studies require substantial resources and can provide limited information on transmission dynamics. Household transmission studies provide an efficient approach to describing the risk of influenza transmission and factors affecting transmission. In these studies, households with at least one member infected by influenza are eligible and are followed intensively for 1–2 weeks to observe secondary transmission within the household. Transmission studies also provide a model for evaluation of interventions in randomized controlled trials, and have been used to determine the efficacy of antiviral drugs for treatment and prophylaxis, and nonpharmaceutical interventions such as face masks and hand hygiene.
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Affiliation(s)
- Tim K Tsang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Lincoln L H Lau
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Simon Cauchemez
- Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Paris, France
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong Special Administrative Region, China.
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8
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Chidgzey PJ, Davis S, Williams P, Reeve C. An outbreak of influenza A (H1N1) virus in a remote Aboriginal community post-pandemic: implications for pandemic planning and health service policy. Aust N Z J Public Health 2015; 39:15-20. [PMID: 25560972 DOI: 10.1111/1753-6405.12295] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Revised: 06/01/2014] [Accepted: 08/01/2014] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To describe a 2013 outbreak of pandemic influenza A (H1N1) virus in a remote Western Australian Aboriginal community; inform outbreak prevention and control measures and discuss the community susceptibility to H1N1, three years after the A(H1N1)pdm09 pandemic. METHODS Records at the local clinic were used to classify cases as 'confirmed' (laboratory test positive for H1N1 or temperature >38°C with cough and/or sore throat) or 'probable' (self-reported fever with cough and/or sore throat). Additional data were collected from medical records and public health databases. RESULTS A total of 108 individuals met case definitions. Clinical attack rate was 23%. Children under five years of age had the highest age-specific attack rate (545 per 1,000 population). Thirty cases (28%) experienced complications with six (5.6%) requiring aero-evacuation. Only 7% of the community had received H1N1-containing vaccine during the previous year. No H1N1 cases from the community were previously reported. CONCLUSIONS This is the first description of the effects of a novel influenza strain on a remote Australian Aboriginal community. Isolation and low vaccination are likely explanations for the apparent naivety to H1N1. IMPLICATIONS There may be other remote communities at risk of H1N1. High attack and complication rates confirm that Aboriginal Australians should be prioritised in pandemic planning.
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Affiliation(s)
- Philippa J Chidgzey
- Kimberley Population Health Unit, Western Australia Country Health Service, WA; National Centre for Epidemiology and Population Health, ANU College of Medicine and Health Sciences, Australian National University, ACT
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9
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Vink MA, Bootsma MCJ, Wallinga J. Serial intervals of respiratory infectious diseases: a systematic review and analysis. Am J Epidemiol 2014; 180:865-75. [PMID: 25294601 DOI: 10.1093/aje/kwu209] [Citation(s) in RCA: 116] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The serial interval of an infectious disease represents the duration between symptom onset of a primary case and symptom onset of its secondary cases. A good evidence base for such values is essential, because they allow investigators to identify epidemiologic links between cases and serve as an important parameter in epidemic transmission models used to design infection control strategies. We reviewed the literature for available data sets containing serial intervals and for reported values of serial intervals. We were able to collect data on outbreaks within households, which we reanalyzed to infer a mean serial interval using a common statistical method. We estimated the mean serial intervals for influenza A(H3N2) (2.2 days), pandemic influenza A(H1N1)pdm09 (2.8 days), respiratory syncytial virus (7.5 days), measles (11.7 days), varicella (14.0 days), smallpox (17.7 days), mumps (18.0 days), rubella (18.3 days), and pertussis (22.8 days). For varicella, we found an evidence-based value that deviates substantially from the 21 days commonly used in transmission models. This value of the serial interval for pertussis is, to the best of our knowledge, the first that is based on observations. Our review reveals that, for most infectious diseases, there is very limited evidence to support the serial intervals that are often cited.
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10
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Nolan T, Roy-Ghanta S, Montellano M, Weckx L, Ulloa-Gutierrez R, Lazcano-Ponce E, Kerdpanich A, Safadi MAP, Cruz-Valdez A, Litao S, Lim FS, de Los Santos AM, Weber MAR, Tinoco JC, Mezerville MHD, Faingezicht I, Kosuwon P, Lopez P, Borja-Tabora C, Li P, Durviaux S, Fries L, Dubin G, Breuer T, Innis BL, Vaughn DW. Relative efficacy of AS03-adjuvanted pandemic influenza A(H1N1) vaccine in children: results of a controlled, randomized efficacy trial. J Infect Dis 2014; 210:545-57. [PMID: 24652494 PMCID: PMC4111912 DOI: 10.1093/infdis/jiu173] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background. The vaccine efficacy (VE) of 1 or 2 doses of AS03-adjuvanted influenza A(H1N1) vaccine relative to that of 2 doses of nonadjuvanted influenza A(H1N1) vaccine in children 6 months to <10 years of age in a multinational study conducted during 2010–2011. Methods. A total of 6145 children were randomly assigned at a ratio of 1:1:1 to receive 2 injections 21 days apart of A/California/7/2009(H1N1)-AS03 vaccine at dose 1 and saline placebo at dose 2, 2 doses 21 days apart of A/California/7/2009(H1N1)-AS03 vaccine (the Ad2 group), or 2 doses 21 days apart of nonadjuvanted A/California/7/2009(H1N1) vaccine (the NAd2 group). Active surveillance for influenza-like illnesses continued from days 14 to 385. Nose and throat samples obtained during influenza-like illnesses were tested for A/California/7/2009(H1N1), using reverse-transcriptase polymerase chain reaction. Immunogenicity, reactogenicity, and safety were assessed. Results. There were 23 cases of confirmed 2009 pandemic influenza A(H1N1) (A[H1N1]pdm09) infection for the primary relative VE analysis. The VE in the Ad2 group relative to that in the NAd2 group was 76.8% (95% confidence interval, 18.5%–93.4%). The benefit of the AS03 adjuvant was demonstrated in terms of the greater immunogenicity observed in the Ad2 group, compared with the NAd2 group. Conclusion. The 4–8-fold antigen-sparing adjuvanted pandemic influenza vaccine demonstrated superior and clinically important prevention of A(H1N1)pdm09 infection, compared with nonadjuvanted vaccine, with no observed increase in medically attended or serious adverse events. These data support the use of adjuvanted influenza vaccines during influenza pandemics. Clinical Trials Registration. NCT01051661.
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Affiliation(s)
- Terry Nolan
- Murdoch Children's Research Institute Melbourne School of Population and Global Health, University of Melbourne, Carlton, Australia
| | | | - May Montellano
- Department of Pediatrics, Mary Chiles General Hospital, Manila
| | - Lily Weckx
- Pediatric Infectious Diseases, Department of Pediatrics, Universidade Federal de São Paulo
| | | | | | - Angkool Kerdpanich
- Infectious Diseases Unit, Department of Pediatrics, Phramongkutklao Hospital, Bangkok
| | - Marco Aurélio Palazzi Safadi
- Department of Pediatrics, Faculdade de Ciências Médicas da Santa Casa de São Paulo Associação Fundo de Incentivo à Pesquisa, São Paulo, Brazil
| | | | - Sandra Litao
- Department of Pediatrics, De La Salle Health Sciences Institute, Dasmariñas City
| | | | | | | | | | | | - Idis Faingezicht
- Instituto Costarricense de Investigaciones Clínicas, San José, Costa Rica
| | - Pensri Kosuwon
- Department of Pediatrics, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Pio Lopez
- Centro de Estudios en Infectologia Pediatrica, Cali, Colombia
| | - Charissa Borja-Tabora
- Department of Health, Research Institute for Tropical Medicine, Muntinlupa, Philippines
| | - Ping Li
- GlaxoSmithKline Vaccines, King of Prussia, Pennsylvania
| | | | | | - Gary Dubin
- GlaxoSmithKline Vaccines, King of Prussia, Pennsylvania
| | | | - Bruce L Innis
- GlaxoSmithKline Vaccines, King of Prussia, Pennsylvania
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