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Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016

Introduction: An outbreak of Lassa Fever (LF) reported and confirmed in Ondo state, Southwest Nigeria in January 2016 was investigated. This paper provides the epidemiology of the LF and lessons learnt from the investigation of the outbreak. Methods: The incidence management system (IMS) model was u...

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Autores principales: Isere, Elvis Efe, Fatiregun, Akinola Ayoola, Ilesanmi, Olayinka, Ijarotimi, Ibidolapo, Egube, Beatrice, Adejugbagbe, Adewale, Famokun, Gboyega Adekunle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063375/
https://www.ncbi.nlm.nih.gov/pubmed/30094105
http://dx.doi.org/10.1371/currents.outbreaks.bc4396a6650d0ed1985d731583bf5ded
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author Isere, Elvis Efe
Fatiregun, Akinola Ayoola
Ilesanmi, Olayinka
Ijarotimi, Ibidolapo
Egube, Beatrice
Adejugbagbe, Adewale
Famokun, Gboyega Adekunle
author_facet Isere, Elvis Efe
Fatiregun, Akinola Ayoola
Ilesanmi, Olayinka
Ijarotimi, Ibidolapo
Egube, Beatrice
Adejugbagbe, Adewale
Famokun, Gboyega Adekunle
author_sort Isere, Elvis Efe
collection PubMed
description Introduction: An outbreak of Lassa Fever (LF) reported and confirmed in Ondo state, Southwest Nigeria in January 2016 was investigated. This paper provides the epidemiology of the LF and lessons learnt from the investigation of the outbreak. Methods: The incidence management system (IMS) model was used for the outbreak coordination. Cases and deaths were identified through the routine surveillance system using standard definitions for suspected and confirmed cases and deaths respectively. Blood specimens collected from suspect cases were sent for confirmation at a WHO accredited laboratory. Active case search was intensified, and identified contacts of confirmed cases were followed up for the maximum incubation period of the disease. Other public health responses included infection prevention and control, communication and advocacy as well as case management. Data collected were analysed using SPSS 20, by time, place and persons and important lessons drawn were discussed.   Results: We identified 90 suspected LF cases of which 19 were confirmed by the laboratory. More than half (52.6%) of the confirmed cases were females with majority (73.7%) in the age group ≥ 15 years. The Case Fatality Rate (CFR) of 63.2% among the laboratory-confirmed positive cases where 9 of 19 cases died, was significantly higher compared to the laboratory confirmed negative cases where 6 of the 65 cases died ( CFR; 8.5%) p ≤ 0.05. Two hundred and eighty-seven contacts of the confirmed cases were identified, out of which 267(93.0%) completed  the follow-up without developing any symptoms and 2 (0.7%) developed symptoms consistent with LF and were confirmed by the laboratory. More than half of the contacts were females (64.5%) with most of them (89.2%) in the age group ≥ 25 years.   Discussion: One key lesson learnt from the investigation was that the confirmed cases were mainly primary cases; hence the needs to focus on measures of breaking the chain of transmission in the animal-man interphase during Lassa fever epidemic preparedness and response. In addition, the high case fatality rate despite early reporting and investigation suggested the need for a review of the case management policy and structure in the State. Key Words: Lassa fever, Outbreak Response, Incident Management System, Nigeria
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spelling pubmed-60633752018-08-08 Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016 Isere, Elvis Efe Fatiregun, Akinola Ayoola Ilesanmi, Olayinka Ijarotimi, Ibidolapo Egube, Beatrice Adejugbagbe, Adewale Famokun, Gboyega Adekunle PLoS Curr Research Article Introduction: An outbreak of Lassa Fever (LF) reported and confirmed in Ondo state, Southwest Nigeria in January 2016 was investigated. This paper provides the epidemiology of the LF and lessons learnt from the investigation of the outbreak. Methods: The incidence management system (IMS) model was used for the outbreak coordination. Cases and deaths were identified through the routine surveillance system using standard definitions for suspected and confirmed cases and deaths respectively. Blood specimens collected from suspect cases were sent for confirmation at a WHO accredited laboratory. Active case search was intensified, and identified contacts of confirmed cases were followed up for the maximum incubation period of the disease. Other public health responses included infection prevention and control, communication and advocacy as well as case management. Data collected were analysed using SPSS 20, by time, place and persons and important lessons drawn were discussed.   Results: We identified 90 suspected LF cases of which 19 were confirmed by the laboratory. More than half (52.6%) of the confirmed cases were females with majority (73.7%) in the age group ≥ 15 years. The Case Fatality Rate (CFR) of 63.2% among the laboratory-confirmed positive cases where 9 of 19 cases died, was significantly higher compared to the laboratory confirmed negative cases where 6 of the 65 cases died ( CFR; 8.5%) p ≤ 0.05. Two hundred and eighty-seven contacts of the confirmed cases were identified, out of which 267(93.0%) completed  the follow-up without developing any symptoms and 2 (0.7%) developed symptoms consistent with LF and were confirmed by the laboratory. More than half of the contacts were females (64.5%) with most of them (89.2%) in the age group ≥ 25 years.   Discussion: One key lesson learnt from the investigation was that the confirmed cases were mainly primary cases; hence the needs to focus on measures of breaking the chain of transmission in the animal-man interphase during Lassa fever epidemic preparedness and response. In addition, the high case fatality rate despite early reporting and investigation suggested the need for a review of the case management policy and structure in the State. Key Words: Lassa fever, Outbreak Response, Incident Management System, Nigeria Public Library of Science 2018-06-29 /pmc/articles/PMC6063375/ /pubmed/30094105 http://dx.doi.org/10.1371/currents.outbreaks.bc4396a6650d0ed1985d731583bf5ded Text en © 2018 Isere, Fatiregun, Ilesanmi, Ijarotimi, Egube, Adejugbagbe, Famokun, et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Isere, Elvis Efe
Fatiregun, Akinola Ayoola
Ilesanmi, Olayinka
Ijarotimi, Ibidolapo
Egube, Beatrice
Adejugbagbe, Adewale
Famokun, Gboyega Adekunle
Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016
title Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016
title_full Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016
title_fullStr Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016
title_full_unstemmed Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016
title_short Lessons Learnt from Epidemiological Investigation of Lassa Fever Outbreak in a Southwest State of Nigeria December 2015 to April 2016
title_sort lessons learnt from epidemiological investigation of lassa fever outbreak in a southwest state of nigeria december 2015 to april 2016
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6063375/
https://www.ncbi.nlm.nih.gov/pubmed/30094105
http://dx.doi.org/10.1371/currents.outbreaks.bc4396a6650d0ed1985d731583bf5ded
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