Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, Guinea

Abstract Background Cholera is endemic in Guinea, having suffered consecutive outbreaks from 2004 to 2008 followed by a lull until the 2012 epidemic. Here we describe the temporal-spatial and behavioural characteristics of cholera cases in Conakry during a three-year period, including the large-scal...

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Main Authors: Alexandre Blake, Veronique Sarr Keita, Delphine Sauvageot, Mamadou Saliou, Berthe Marie Njanpop, Fode Sory, Bertrand Sudre, Koivogui Lamine, Martin Mengel, Bradford D. Gessner, Keita Sakoba
Format: Article
Language:English
Published: BMC 2018-02-01
Series:Infectious Diseases of Poverty
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40249-018-0393-8
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spelling doaj-db4513b0e7c04249bafd8707c4412b132020-11-24T21:44:23ZengBMCInfectious Diseases of Poverty2049-99572018-02-017111010.1186/s40249-018-0393-8Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, GuineaAlexandre Blake0Veronique Sarr Keita1Delphine Sauvageot2Mamadou Saliou3Berthe Marie Njanpop4Fode Sory5Bertrand Sudre6Koivogui Lamine7Martin Mengel8Bradford D. Gessner9Keita Sakoba10Agence de Médecine PréventiveDivision Prévention et Lutte contre la Maladie (DPLM), Ministère de la santé Publique et de l’Hygiène Publique ConakryAgence de Médecine PréventiveInstitut National de Sante Publique (INSP)Agence de Médecine PréventiveDivision Prévention et Lutte contre la Maladie (DPLM), Ministère de la santé Publique et de l’Hygiène Publique ConakryFranche-Comté university (UMR 6249 chrono-environnement)Institut National de Sante Publique (INSP)Agence de Médecine PréventiveAgence de Médecine PréventiveDivision Prévention et Lutte contre la Maladie (DPLM), Ministère de la santé Publique et de l’Hygiène Publique ConakryAbstract Background Cholera is endemic in Guinea, having suffered consecutive outbreaks from 2004 to 2008 followed by a lull until the 2012 epidemic. Here we describe the temporal-spatial and behavioural characteristics of cholera cases in Conakry during a three-year period, including the large-scale 2012 epidemic. Methods We used the national and African Cholera Surveillance Network (Africhol) surveillance data collected from every cholera treatment centre in Conakry city from August 2011 to December 2013. The prevalence of suspect and confirmed cholera cases, the case fatality ratio (CFR), and the factors associated with suspected cholera were described according to three periods: pre-epidemic (A), epidemic 2012 (B) and post epidemic (C). Weekly attack rates and temporal-spatial clustering were calculated at municipality level for period B. Cholera was confirmed by culture at the cholera national reference laboratory. Results A total of 4559 suspect cases were reported: 66, 4437, and 66 suspect cases in periods A, B and C, respectively. Among the 204 suspect cases with culture results available, 6%, 60%, and 70% were confirmed in periods A, B, and C, respectively. With 0.3%, the CFR was significantly lower in period B than in periods A (7.6%) and C (7.1%). The overall attack rate was 0.28% in period B, ranging from 0.17% to 0.31% across municipalities. Concomitantly, a cluster of cases was identified in two districts in the northern part of Conakry. At 14%, rice water stools were less frequent in period A than in period B and C (78% and 84%). Dehydration (31% vs 94% and 89%) and coma (0.4% vs 3.1% and 2.9%) were lower during period B than in periods A and C. The treatment of drinking water was less frequent in period A, while there were more reports of recent travel in period C. Conclusions The epidemic dynamic and the sociological description of suspect cases before, during, and after the large-scale epidemic revealed that the Vibrio cholerae was already present before the epidemic. However, it appeared that infected individuals reacted differently in terms of disease severity as well as their access to treated water and travel habits. Such an in-depth description of cholera epidemics should be systematically carried out in cholera endemic settings in order to prioritize higher risk areas, identify transmission factors, and optimize preventive interventions.http://link.springer.com/article/10.1186/s40249-018-0393-8CholeraSpace-time clusteringGuinea
collection DOAJ
language English
format Article
sources DOAJ
author Alexandre Blake
Veronique Sarr Keita
Delphine Sauvageot
Mamadou Saliou
Berthe Marie Njanpop
Fode Sory
Bertrand Sudre
Koivogui Lamine
Martin Mengel
Bradford D. Gessner
Keita Sakoba
spellingShingle Alexandre Blake
Veronique Sarr Keita
Delphine Sauvageot
Mamadou Saliou
Berthe Marie Njanpop
Fode Sory
Bertrand Sudre
Koivogui Lamine
Martin Mengel
Bradford D. Gessner
Keita Sakoba
Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, Guinea
Infectious Diseases of Poverty
Cholera
Space-time clustering
Guinea
author_facet Alexandre Blake
Veronique Sarr Keita
Delphine Sauvageot
Mamadou Saliou
Berthe Marie Njanpop
Fode Sory
Bertrand Sudre
Koivogui Lamine
Martin Mengel
Bradford D. Gessner
Keita Sakoba
author_sort Alexandre Blake
title Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, Guinea
title_short Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, Guinea
title_full Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, Guinea
title_fullStr Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, Guinea
title_full_unstemmed Temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the African mega-city of Conakry, Guinea
title_sort temporo-spatial dynamics and behavioural patterns of 2012 cholera epidemic in the african mega-city of conakry, guinea
publisher BMC
series Infectious Diseases of Poverty
issn 2049-9957
publishDate 2018-02-01
description Abstract Background Cholera is endemic in Guinea, having suffered consecutive outbreaks from 2004 to 2008 followed by a lull until the 2012 epidemic. Here we describe the temporal-spatial and behavioural characteristics of cholera cases in Conakry during a three-year period, including the large-scale 2012 epidemic. Methods We used the national and African Cholera Surveillance Network (Africhol) surveillance data collected from every cholera treatment centre in Conakry city from August 2011 to December 2013. The prevalence of suspect and confirmed cholera cases, the case fatality ratio (CFR), and the factors associated with suspected cholera were described according to three periods: pre-epidemic (A), epidemic 2012 (B) and post epidemic (C). Weekly attack rates and temporal-spatial clustering were calculated at municipality level for period B. Cholera was confirmed by culture at the cholera national reference laboratory. Results A total of 4559 suspect cases were reported: 66, 4437, and 66 suspect cases in periods A, B and C, respectively. Among the 204 suspect cases with culture results available, 6%, 60%, and 70% were confirmed in periods A, B, and C, respectively. With 0.3%, the CFR was significantly lower in period B than in periods A (7.6%) and C (7.1%). The overall attack rate was 0.28% in period B, ranging from 0.17% to 0.31% across municipalities. Concomitantly, a cluster of cases was identified in two districts in the northern part of Conakry. At 14%, rice water stools were less frequent in period A than in period B and C (78% and 84%). Dehydration (31% vs 94% and 89%) and coma (0.4% vs 3.1% and 2.9%) were lower during period B than in periods A and C. The treatment of drinking water was less frequent in period A, while there were more reports of recent travel in period C. Conclusions The epidemic dynamic and the sociological description of suspect cases before, during, and after the large-scale epidemic revealed that the Vibrio cholerae was already present before the epidemic. However, it appeared that infected individuals reacted differently in terms of disease severity as well as their access to treated water and travel habits. Such an in-depth description of cholera epidemics should be systematically carried out in cholera endemic settings in order to prioritize higher risk areas, identify transmission factors, and optimize preventive interventions.
topic Cholera
Space-time clustering
Guinea
url http://link.springer.com/article/10.1186/s40249-018-0393-8
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