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Community-based surveillance contribution to the response of COVID-19 in Niger

INTRODUCTION: the COVID-19 pandemic has spread across all countries in Africa, with much of the model forecasting disastrous results owing to weak health services and political uncertainty. In Niger, an adaptive solution to the COVID-19 pandemic has been implemented by community-based surveillance s...

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Autores principales: Maazou, Ahmed Abani, Oumarou, Batouré, Bienvenu, Baruani, Anya, Blanche-Philomene Melanga, Didier, Tambwe, Ishagh, El Khalef, Nsiari-muzeyi, Biey Joseph, Katoto, Patrick, Wiysonge, Charles Shey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607942/
https://www.ncbi.nlm.nih.gov/pubmed/34909077
http://dx.doi.org/10.11604/pamj.2021.40.88.28175
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author Maazou, Ahmed Abani
Oumarou, Batouré
Bienvenu, Baruani
Anya, Blanche-Philomene Melanga
Didier, Tambwe
Ishagh, El Khalef
Nsiari-muzeyi, Biey Joseph
Katoto, Patrick
Wiysonge, Charles Shey
author_facet Maazou, Ahmed Abani
Oumarou, Batouré
Bienvenu, Baruani
Anya, Blanche-Philomene Melanga
Didier, Tambwe
Ishagh, El Khalef
Nsiari-muzeyi, Biey Joseph
Katoto, Patrick
Wiysonge, Charles Shey
author_sort Maazou, Ahmed Abani
collection PubMed
description INTRODUCTION: the COVID-19 pandemic has spread across all countries in Africa, with much of the model forecasting disastrous results owing to weak health services and political uncertainty. In Niger, an adaptive solution to the COVID-19 pandemic has been implemented by community-based surveillance system (CBS) to complement passive case-finding in health systems. METHODS: the CBS program was designed to use the current CBS polio network spanning 37 health districts in six regions. Between April and November 2020, 150 community health workers (CHWs) were equipped to improve integrated disease surveillance and response (IDSR) preparedness and response to the COVID-19 pandemic. We retrospectively analysed the health data of the National Health Information System to describe the effect of CBS in COVID-19 surveillance. RESULTS: overall, trained CHWs were able to raise awareness among 2,681,642 persons regarding COVID-19 preventions and controls strategies. They reported 143 (84%) valid alerts resulting in two positive COVID-19 cases missing in the community. In addition, CHWs added to the contact tracing of 37 individuals and informed about the deaths in the community. CONCLUSION: community-based surveillance improved COVID-19 response in Niger. Logistic assistance and ongoing training are the foundations for increasing and sustaining the sensitivity of CBS systems in response to the COVID-19 pandemic to deter hotspots across countries.
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spelling pubmed-86079422021-12-13 Community-based surveillance contribution to the response of COVID-19 in Niger Maazou, Ahmed Abani Oumarou, Batouré Bienvenu, Baruani Anya, Blanche-Philomene Melanga Didier, Tambwe Ishagh, El Khalef Nsiari-muzeyi, Biey Joseph Katoto, Patrick Wiysonge, Charles Shey Pan Afr Med J Research INTRODUCTION: the COVID-19 pandemic has spread across all countries in Africa, with much of the model forecasting disastrous results owing to weak health services and political uncertainty. In Niger, an adaptive solution to the COVID-19 pandemic has been implemented by community-based surveillance system (CBS) to complement passive case-finding in health systems. METHODS: the CBS program was designed to use the current CBS polio network spanning 37 health districts in six regions. Between April and November 2020, 150 community health workers (CHWs) were equipped to improve integrated disease surveillance and response (IDSR) preparedness and response to the COVID-19 pandemic. We retrospectively analysed the health data of the National Health Information System to describe the effect of CBS in COVID-19 surveillance. RESULTS: overall, trained CHWs were able to raise awareness among 2,681,642 persons regarding COVID-19 preventions and controls strategies. They reported 143 (84%) valid alerts resulting in two positive COVID-19 cases missing in the community. In addition, CHWs added to the contact tracing of 37 individuals and informed about the deaths in the community. CONCLUSION: community-based surveillance improved COVID-19 response in Niger. Logistic assistance and ongoing training are the foundations for increasing and sustaining the sensitivity of CBS systems in response to the COVID-19 pandemic to deter hotspots across countries. The African Field Epidemiology Network 2021-10-11 /pmc/articles/PMC8607942/ /pubmed/34909077 http://dx.doi.org/10.11604/pamj.2021.40.88.28175 Text en Copyright: Ahmed Abani Maazou et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Maazou, Ahmed Abani
Oumarou, Batouré
Bienvenu, Baruani
Anya, Blanche-Philomene Melanga
Didier, Tambwe
Ishagh, El Khalef
Nsiari-muzeyi, Biey Joseph
Katoto, Patrick
Wiysonge, Charles Shey
Community-based surveillance contribution to the response of COVID-19 in Niger
title Community-based surveillance contribution to the response of COVID-19 in Niger
title_full Community-based surveillance contribution to the response of COVID-19 in Niger
title_fullStr Community-based surveillance contribution to the response of COVID-19 in Niger
title_full_unstemmed Community-based surveillance contribution to the response of COVID-19 in Niger
title_short Community-based surveillance contribution to the response of COVID-19 in Niger
title_sort community-based surveillance contribution to the response of covid-19 in niger
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607942/
https://www.ncbi.nlm.nih.gov/pubmed/34909077
http://dx.doi.org/10.11604/pamj.2021.40.88.28175
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