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Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon
BACKGROUND: Community-based surveillance (CBS) has been used successfully in many situations to strengthen existing health systems as well as in humanitarian crises. The Anglophone crisis of Northwest Southwest Cameroon, led to burning of villages, targeting of health personnel and destruction of he...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995751/ https://www.ncbi.nlm.nih.gov/pubmed/33771200 http://dx.doi.org/10.1186/s13031-021-00354-9 |
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author | Metuge, Alain Omam, Lundi-Anne Jarman, Elizabeth Njomo, Esther Omam |
author_facet | Metuge, Alain Omam, Lundi-Anne Jarman, Elizabeth Njomo, Esther Omam |
author_sort | Metuge, Alain |
collection | PubMed |
description | BACKGROUND: Community-based surveillance (CBS) has been used successfully in many situations to strengthen existing health systems as well as in humanitarian crises. The Anglophone crisis of Northwest Southwest Cameroon, led to burning of villages, targeting of health personnel and destruction of health facilities which, in combination with distrust for the government services led to a collapse of surveillance for outbreak prone diseases. METHODS: We evaluated the ability of the CBS system to identify suspected cases of outbreak prone diseases (OPD) as compared to the facility-based surveillance, evaluated the timeliness of the CBS system in identifying an OPD, reporting of OPD to District Health Service (DHS) and timeliness in outbreak response. The paper also assessed the collaboration with the DHS and contribution of the CBS system with regards to strengthening the overall surveillance of the health district and also determine the interventions undertaken to contain suspected/confirmed outbreaks. RESULTS: In total 9 alerts of suspected OPDs were generated by the CBS system as compared to 0 by the DHS, with 8 investigated, 5 responses and 3 confirmed outbreaks. Average time from first symptoms to alert generation by the CBS system was 7.3 days. Average time lag from alert generation from the CBS to the DHS was 0.3 days which was essentially within 24 h. There was extensive and synergistic collaboration with the DHS. DISCUSSION: CBS generated a higher number of alerts than traditional outbreak reported used in the region, and had timely investigations and if appropriate, responses. Careful selection of CHWs with strong community engagement led to the success of the project, and the use of the mobile health team in situ allowed for rapid responses to potential outbreaks, as well as for feedback to CHWs and communities. CBS was also well utilized for identification of other events, such as displacement and malnutrition. CONCLUSION: In conflict settings, CBS can help in outbreak identification as well as other events, and a mobile health team is crucial to the success of the CBS due to the ability to rapidly response to generated alerts. The mobile health team provided timely investigation of 8 of 9 alerts generated. Collaboration with existing DHS structures is important for systems strengthening in such settings. |
format | Online Article Text |
id | pubmed-7995751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79957512021-03-30 Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon Metuge, Alain Omam, Lundi-Anne Jarman, Elizabeth Njomo, Esther Omam Confl Health Research in Practice BACKGROUND: Community-based surveillance (CBS) has been used successfully in many situations to strengthen existing health systems as well as in humanitarian crises. The Anglophone crisis of Northwest Southwest Cameroon, led to burning of villages, targeting of health personnel and destruction of health facilities which, in combination with distrust for the government services led to a collapse of surveillance for outbreak prone diseases. METHODS: We evaluated the ability of the CBS system to identify suspected cases of outbreak prone diseases (OPD) as compared to the facility-based surveillance, evaluated the timeliness of the CBS system in identifying an OPD, reporting of OPD to District Health Service (DHS) and timeliness in outbreak response. The paper also assessed the collaboration with the DHS and contribution of the CBS system with regards to strengthening the overall surveillance of the health district and also determine the interventions undertaken to contain suspected/confirmed outbreaks. RESULTS: In total 9 alerts of suspected OPDs were generated by the CBS system as compared to 0 by the DHS, with 8 investigated, 5 responses and 3 confirmed outbreaks. Average time from first symptoms to alert generation by the CBS system was 7.3 days. Average time lag from alert generation from the CBS to the DHS was 0.3 days which was essentially within 24 h. There was extensive and synergistic collaboration with the DHS. DISCUSSION: CBS generated a higher number of alerts than traditional outbreak reported used in the region, and had timely investigations and if appropriate, responses. Careful selection of CHWs with strong community engagement led to the success of the project, and the use of the mobile health team in situ allowed for rapid responses to potential outbreaks, as well as for feedback to CHWs and communities. CBS was also well utilized for identification of other events, such as displacement and malnutrition. CONCLUSION: In conflict settings, CBS can help in outbreak identification as well as other events, and a mobile health team is crucial to the success of the CBS due to the ability to rapidly response to generated alerts. The mobile health team provided timely investigation of 8 of 9 alerts generated. Collaboration with existing DHS structures is important for systems strengthening in such settings. BioMed Central 2021-03-26 /pmc/articles/PMC7995751/ /pubmed/33771200 http://dx.doi.org/10.1186/s13031-021-00354-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research in Practice Metuge, Alain Omam, Lundi-Anne Jarman, Elizabeth Njomo, Esther Omam Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon |
title | Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon |
title_full | Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon |
title_fullStr | Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon |
title_full_unstemmed | Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon |
title_short | Humanitarian led community-based surveillance: case study in Ekondo-titi, Cameroon |
title_sort | humanitarian led community-based surveillance: case study in ekondo-titi, cameroon |
topic | Research in Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995751/ https://www.ncbi.nlm.nih.gov/pubmed/33771200 http://dx.doi.org/10.1186/s13031-021-00354-9 |
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