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Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso

Because of limited data on dengue virus in Burkina Faso, we conducted 4 consecutive age-stratified longitudinal serologic surveys, ≈6 months apart, among persons 1–55 years of age, during June 2015–March 2017, which included a 2016 outbreak. The seroconversion rate before the serosurvey enrollment w...

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Autores principales: Lim, Jacqueline K., Carabali, Mabel, Edwards, Tansy, Barro, Ahmed, Lee, Jung-Seok, Dahourou, Desire, Lee, Kang Sung, Nikiema, Teguewende, Shin, Mee Young, Bonnet, Emmanuel, Kagone, Therese, Kaba, Losseni, Namkung, Suk, Somé, Paul-André, Yang, Jae Seung, Ridde, Valéry, Yoon, In-Kyu, Alexander, Neal, Seydou, Yaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774580/
https://www.ncbi.nlm.nih.gov/pubmed/33350906
http://dx.doi.org/10.3201/eid2701.191650
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author Lim, Jacqueline K.
Carabali, Mabel
Edwards, Tansy
Barro, Ahmed
Lee, Jung-Seok
Dahourou, Desire
Lee, Kang Sung
Nikiema, Teguewende
Shin, Mee Young
Bonnet, Emmanuel
Kagone, Therese
Kaba, Losseni
Namkung, Suk
Somé, Paul-André
Yang, Jae Seung
Ridde, Valéry
Yoon, In-Kyu
Alexander, Neal
Seydou, Yaro
author_facet Lim, Jacqueline K.
Carabali, Mabel
Edwards, Tansy
Barro, Ahmed
Lee, Jung-Seok
Dahourou, Desire
Lee, Kang Sung
Nikiema, Teguewende
Shin, Mee Young
Bonnet, Emmanuel
Kagone, Therese
Kaba, Losseni
Namkung, Suk
Somé, Paul-André
Yang, Jae Seung
Ridde, Valéry
Yoon, In-Kyu
Alexander, Neal
Seydou, Yaro
author_sort Lim, Jacqueline K.
collection PubMed
description Because of limited data on dengue virus in Burkina Faso, we conducted 4 consecutive age-stratified longitudinal serologic surveys, ≈6 months apart, among persons 1–55 years of age, during June 2015–March 2017, which included a 2016 outbreak. The seroconversion rate before the serosurvey enrollment was estimated by binomial regression, taking age as the duration of exposure, and assuming constant force of infection (FOI) over age and calendar time. We calculated FOI between consecutive surveys and rate ratios for potentially associated characteristics based on seroconversion using the duration of intervals. Among 2,897 persons at enrollment, 66.3% were IgG-positive, and estimated annual FOI was 5.95%. Of 1,269 enrollees participating in all 4 serosurveys, 438 were IgG-negative at enrollment. The annualized FOI ranged from 10% to 20% (during the 2016 outbreak). Overall, we observed high FOI for dengue. These results could support decision-making about control and preventive measures for dengue.
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spelling pubmed-77745802021-01-01 Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso Lim, Jacqueline K. Carabali, Mabel Edwards, Tansy Barro, Ahmed Lee, Jung-Seok Dahourou, Desire Lee, Kang Sung Nikiema, Teguewende Shin, Mee Young Bonnet, Emmanuel Kagone, Therese Kaba, Losseni Namkung, Suk Somé, Paul-André Yang, Jae Seung Ridde, Valéry Yoon, In-Kyu Alexander, Neal Seydou, Yaro Emerg Infect Dis Research Because of limited data on dengue virus in Burkina Faso, we conducted 4 consecutive age-stratified longitudinal serologic surveys, ≈6 months apart, among persons 1–55 years of age, during June 2015–March 2017, which included a 2016 outbreak. The seroconversion rate before the serosurvey enrollment was estimated by binomial regression, taking age as the duration of exposure, and assuming constant force of infection (FOI) over age and calendar time. We calculated FOI between consecutive surveys and rate ratios for potentially associated characteristics based on seroconversion using the duration of intervals. Among 2,897 persons at enrollment, 66.3% were IgG-positive, and estimated annual FOI was 5.95%. Of 1,269 enrollees participating in all 4 serosurveys, 438 were IgG-negative at enrollment. The annualized FOI ranged from 10% to 20% (during the 2016 outbreak). Overall, we observed high FOI for dengue. These results could support decision-making about control and preventive measures for dengue. Centers for Disease Control and Prevention 2021-01 /pmc/articles/PMC7774580/ /pubmed/33350906 http://dx.doi.org/10.3201/eid2701.191650 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Lim, Jacqueline K.
Carabali, Mabel
Edwards, Tansy
Barro, Ahmed
Lee, Jung-Seok
Dahourou, Desire
Lee, Kang Sung
Nikiema, Teguewende
Shin, Mee Young
Bonnet, Emmanuel
Kagone, Therese
Kaba, Losseni
Namkung, Suk
Somé, Paul-André
Yang, Jae Seung
Ridde, Valéry
Yoon, In-Kyu
Alexander, Neal
Seydou, Yaro
Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
title Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
title_full Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
title_fullStr Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
title_full_unstemmed Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
title_short Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
title_sort estimating the force of infection for dengue virus using repeated serosurveys, ouagadougou, burkina faso
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774580/
https://www.ncbi.nlm.nih.gov/pubmed/33350906
http://dx.doi.org/10.3201/eid2701.191650
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