Cargando…

Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic

BACKGROUND: Chikungunya virus (CHIKV) caused a major two-wave seventeen-month-long outbreak in La Réunion Island in 2005–2006. The aim of this study was to refine clinical estimates provided by a regional surveillance-system using a two-stage serological assessment as gold standard. METHODS: Two ser...

Descripción completa

Detalles Bibliográficos
Autores principales: Gérardin, Patrick, Guernier, Vanina, Perrau, Joëlle, Fianu, Adrian, Le Roux, Karin, Grivard, Philippe, Michault, Alain, de Lamballerie, Xavier, Flahault, Antoine, Favier, François
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2528011/
https://www.ncbi.nlm.nih.gov/pubmed/18662384
http://dx.doi.org/10.1186/1471-2334-8-99
_version_ 1782158851022258176
author Gérardin, Patrick
Guernier, Vanina
Perrau, Joëlle
Fianu, Adrian
Le Roux, Karin
Grivard, Philippe
Michault, Alain
de Lamballerie, Xavier
Flahault, Antoine
Favier, François
author_facet Gérardin, Patrick
Guernier, Vanina
Perrau, Joëlle
Fianu, Adrian
Le Roux, Karin
Grivard, Philippe
Michault, Alain
de Lamballerie, Xavier
Flahault, Antoine
Favier, François
author_sort Gérardin, Patrick
collection PubMed
description BACKGROUND: Chikungunya virus (CHIKV) caused a major two-wave seventeen-month-long outbreak in La Réunion Island in 2005–2006. The aim of this study was to refine clinical estimates provided by a regional surveillance-system using a two-stage serological assessment as gold standard. METHODS: Two serosurveys were implemented: first, a rapid survey using stored sera of pregnant women, in order to assess the attack rate at the epidemic upsurge (s1, February 2006; n = 888); second, a population-based survey among a random sample of the community, to assess the herd immunity in the post-epidemic era (s2, October 2006; n = 2442). Sera were screened for anti-CHIKV specific antibodies (IgM and IgG in s1, IgG only in s2) using enzyme-linked immunosorbent assays. Seroprevalence rates were compared to clinical estimates of attack rates. RESULTS: In s1, 18.2% of the pregnant women were tested positive for CHIKV specific antibodies (13.8% for both IgM and IgG, 4.3% for IgM, 0.1% for IgG only) which provided a congruent estimate with the 16.5% attack rate calculated from the surveillance-system. In s2, the seroprevalence in community was estimated to 38.2% (95% CI, 35.9 to 40.6%). Extrapolations of seroprevalence rates led to estimate, at 143,000 and at 300,000 (95% CI, 283,000 to 320,000), the number of people infected in s1 and in s2, respectively. In comparison, the surveillance-system estimated at 130,000 and 266,000 the number of people infected for the same periods. CONCLUSION: A rapid serosurvey in pregnant women can be helpful to assess the attack rate when large seroprevalence studies cannot be done. On the other hand, a population-based serosurvey is useful to refine the estimate when clinical diagnosis underestimates it. Our findings give valuable insights to assess the herd immunity along the course of epidemics.
format Text
id pubmed-2528011
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-25280112008-09-03 Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic Gérardin, Patrick Guernier, Vanina Perrau, Joëlle Fianu, Adrian Le Roux, Karin Grivard, Philippe Michault, Alain de Lamballerie, Xavier Flahault, Antoine Favier, François BMC Infect Dis Research Article BACKGROUND: Chikungunya virus (CHIKV) caused a major two-wave seventeen-month-long outbreak in La Réunion Island in 2005–2006. The aim of this study was to refine clinical estimates provided by a regional surveillance-system using a two-stage serological assessment as gold standard. METHODS: Two serosurveys were implemented: first, a rapid survey using stored sera of pregnant women, in order to assess the attack rate at the epidemic upsurge (s1, February 2006; n = 888); second, a population-based survey among a random sample of the community, to assess the herd immunity in the post-epidemic era (s2, October 2006; n = 2442). Sera were screened for anti-CHIKV specific antibodies (IgM and IgG in s1, IgG only in s2) using enzyme-linked immunosorbent assays. Seroprevalence rates were compared to clinical estimates of attack rates. RESULTS: In s1, 18.2% of the pregnant women were tested positive for CHIKV specific antibodies (13.8% for both IgM and IgG, 4.3% for IgM, 0.1% for IgG only) which provided a congruent estimate with the 16.5% attack rate calculated from the surveillance-system. In s2, the seroprevalence in community was estimated to 38.2% (95% CI, 35.9 to 40.6%). Extrapolations of seroprevalence rates led to estimate, at 143,000 and at 300,000 (95% CI, 283,000 to 320,000), the number of people infected in s1 and in s2, respectively. In comparison, the surveillance-system estimated at 130,000 and 266,000 the number of people infected for the same periods. CONCLUSION: A rapid serosurvey in pregnant women can be helpful to assess the attack rate when large seroprevalence studies cannot be done. On the other hand, a population-based serosurvey is useful to refine the estimate when clinical diagnosis underestimates it. Our findings give valuable insights to assess the herd immunity along the course of epidemics. BioMed Central 2008-07-28 /pmc/articles/PMC2528011/ /pubmed/18662384 http://dx.doi.org/10.1186/1471-2334-8-99 Text en Copyright © 2008 Gérardin et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Gérardin, Patrick
Guernier, Vanina
Perrau, Joëlle
Fianu, Adrian
Le Roux, Karin
Grivard, Philippe
Michault, Alain
de Lamballerie, Xavier
Flahault, Antoine
Favier, François
Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic
title Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic
title_full Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic
title_fullStr Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic
title_full_unstemmed Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic
title_short Estimating Chikungunya prevalence in La Réunion Island outbreak by serosurveys: Two methods for two critical times of the epidemic
title_sort estimating chikungunya prevalence in la réunion island outbreak by serosurveys: two methods for two critical times of the epidemic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2528011/
https://www.ncbi.nlm.nih.gov/pubmed/18662384
http://dx.doi.org/10.1186/1471-2334-8-99
work_keys_str_mv AT gerardinpatrick estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT guerniervanina estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT perraujoelle estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT fianuadrian estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT lerouxkarin estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT grivardphilippe estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT michaultalain estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT delamballeriexavier estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT flahaultantoine estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic
AT favierfrancois estimatingchikungunyaprevalenceinlareunionislandoutbreakbyserosurveystwomethodsfortwocriticaltimesoftheepidemic