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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Main Authors: Jacqueline K. Lim, Mabel Carabali, Tansy Edwards, Ahmed Barro, Jung-Seok Lee, Desire Dahourou, Kang Sung Lee, Teguewende Nikiema, Mee Young Shin, Emmanuel Bonnet, Therese Kagone, Losseni Kaba, Suk Namkung, Paul-André Somé, Jae Seung Yang, Valéry Ridde, In-Kyu Yoon, Neal Alexander, Yaro Seydou
פורמט: Article
שפה:English
יצא לאור: Centers for Disease Control and Prevention 2021-01-01
סדרה:Emerging Infectious Diseases
נושאים:
גישה מקוונת:https://wwwnc.cdc.gov/eid/article/27/1/19-1650_article
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author Jacqueline K. Lim
Mabel Carabali
Tansy Edwards
Ahmed Barro
Jung-Seok Lee
Desire Dahourou
Kang Sung Lee
Teguewende Nikiema
Mee Young Shin
Emmanuel Bonnet
Therese Kagone
Losseni Kaba
Suk Namkung
Paul-André Somé
Jae Seung Yang
Valéry Ridde
In-Kyu Yoon
Neal Alexander
Yaro Seydou
author_facet Jacqueline K. Lim
Mabel Carabali
Tansy Edwards
Ahmed Barro
Jung-Seok Lee
Desire Dahourou
Kang Sung Lee
Teguewende Nikiema
Mee Young Shin
Emmanuel Bonnet
Therese Kagone
Losseni Kaba
Suk Namkung
Paul-André Somé
Jae Seung Yang
Valéry Ridde
In-Kyu Yoon
Neal Alexander
Yaro Seydou
author_sort Jacqueline K. Lim
collection DOAJ
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 doaj.art-b51a23fd1c4b406c8314ca71f1edd59b2022-12-21T23:45:00ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592021-01-0127113013910.3201/eid2701.191650Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina FasoJacqueline K. LimMabel CarabaliTansy EdwardsAhmed BarroJung-Seok LeeDesire DahourouKang Sung LeeTeguewende NikiemaMee Young ShinEmmanuel BonnetTherese KagoneLosseni KabaSuk NamkungPaul-André SoméJae Seung YangValéry RiddeIn-Kyu YoonNeal AlexanderYaro SeydouBecause 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.https://wwwnc.cdc.gov/eid/article/27/1/19-1650_articleAedes mosquitoesAfricaBurkina Fasocross reactivitydengueflaviviruses
spellingShingle Jacqueline K. Lim
Mabel Carabali
Tansy Edwards
Ahmed Barro
Jung-Seok Lee
Desire Dahourou
Kang Sung Lee
Teguewende Nikiema
Mee Young Shin
Emmanuel Bonnet
Therese Kagone
Losseni Kaba
Suk Namkung
Paul-André Somé
Jae Seung Yang
Valéry Ridde
In-Kyu Yoon
Neal Alexander
Yaro Seydou
Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso
Emerging Infectious Diseases
Aedes mosquitoes
Africa
Burkina Faso
cross reactivity
dengue
flaviviruses
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 Aedes mosquitoes
Africa
Burkina Faso
cross reactivity
dengue
flaviviruses
url https://wwwnc.cdc.gov/eid/article/27/1/19-1650_article
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