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Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019
South Sudan implemented Ebola virus disease preparedness interventions aiming at preventing and rapidly containing any importation of the virus from the Democratic Republic of Congo starting from August 2018. One of these interventions was a surveillance system which included an Ebola alert manageme...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728195/ https://www.ncbi.nlm.nih.gov/pubmed/33253169 http://dx.doi.org/10.1371/journal.pntd.0008872 |
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author | Olu, Olushayo Oluseun Lako, Richard Bunga, Sudhir Berta, Kibebu Kol, Matthew Ramadan, Patrick Otim Ryan, Caroline Udenweze, Ifeanyi Guyo, Argata Guracha Conteh, Ishata Huda, Qudsia Gai, Malick Saulo, Dina Papowitz, Heather Gray, Henry John Chimbaru, Alex Wangdi, Kencho Grube, Steven M. Barr, Beth Tippett Wamala, Joseph Francis |
author_facet | Olu, Olushayo Oluseun Lako, Richard Bunga, Sudhir Berta, Kibebu Kol, Matthew Ramadan, Patrick Otim Ryan, Caroline Udenweze, Ifeanyi Guyo, Argata Guracha Conteh, Ishata Huda, Qudsia Gai, Malick Saulo, Dina Papowitz, Heather Gray, Henry John Chimbaru, Alex Wangdi, Kencho Grube, Steven M. Barr, Beth Tippett Wamala, Joseph Francis |
author_sort | Olu, Olushayo Oluseun |
collection | PubMed |
description | South Sudan implemented Ebola virus disease preparedness interventions aiming at preventing and rapidly containing any importation of the virus from the Democratic Republic of Congo starting from August 2018. One of these interventions was a surveillance system which included an Ebola alert management system. This study analyzed the performance of this system. A descriptive cross-sectional study of the Ebola virus disease alerts which were reported in South Sudan from August 2018 to November 2019 was conducted using both quantitative and qualitative methods. As of 30 November 2019, a total of 107 alerts had been detected in the country out of which 51 (47.7%) met the case definition and were investigated with blood samples collected for laboratory confirmation. Most (81%) of the investigated alerts were South Sudanese nationals. The alerts were identified by health workers (53.1%) at health facilities, at the community (20.4%) and by screeners at the points of entry (12.2%). Most of the investigated alerts were detected from the high-risk states of Gbudwe (46.9%), Jubek (16.3%) and Torit (10.2%). The investigated alerts commonly presented with fever, bleeding, headache and vomiting. The median timeliness for deployment of Rapid Response Team was less than one day and significantly different between the 6-month time periods (K-W = 7.7567; df = 2; p = 0.0024) from 2018 to 2019. Strengths of the alert management system included existence of a dedicated national alert hotline, case definition for alerts and rapid response teams while the weaknesses were occasional inability to access the alert toll-free hotline and lack of transport for deployment of the rapid response teams which often constrain quick response. This study demonstrates that the Ebola virus disease alert management system in South Sudan was fully functional despite the associated challenges and provides evidence to further improve Ebola preparedness in the country. |
format | Online Article Text |
id | pubmed-7728195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77281952020-12-16 Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019 Olu, Olushayo Oluseun Lako, Richard Bunga, Sudhir Berta, Kibebu Kol, Matthew Ramadan, Patrick Otim Ryan, Caroline Udenweze, Ifeanyi Guyo, Argata Guracha Conteh, Ishata Huda, Qudsia Gai, Malick Saulo, Dina Papowitz, Heather Gray, Henry John Chimbaru, Alex Wangdi, Kencho Grube, Steven M. Barr, Beth Tippett Wamala, Joseph Francis PLoS Negl Trop Dis Research Article South Sudan implemented Ebola virus disease preparedness interventions aiming at preventing and rapidly containing any importation of the virus from the Democratic Republic of Congo starting from August 2018. One of these interventions was a surveillance system which included an Ebola alert management system. This study analyzed the performance of this system. A descriptive cross-sectional study of the Ebola virus disease alerts which were reported in South Sudan from August 2018 to November 2019 was conducted using both quantitative and qualitative methods. As of 30 November 2019, a total of 107 alerts had been detected in the country out of which 51 (47.7%) met the case definition and were investigated with blood samples collected for laboratory confirmation. Most (81%) of the investigated alerts were South Sudanese nationals. The alerts were identified by health workers (53.1%) at health facilities, at the community (20.4%) and by screeners at the points of entry (12.2%). Most of the investigated alerts were detected from the high-risk states of Gbudwe (46.9%), Jubek (16.3%) and Torit (10.2%). The investigated alerts commonly presented with fever, bleeding, headache and vomiting. The median timeliness for deployment of Rapid Response Team was less than one day and significantly different between the 6-month time periods (K-W = 7.7567; df = 2; p = 0.0024) from 2018 to 2019. Strengths of the alert management system included existence of a dedicated national alert hotline, case definition for alerts and rapid response teams while the weaknesses were occasional inability to access the alert toll-free hotline and lack of transport for deployment of the rapid response teams which often constrain quick response. This study demonstrates that the Ebola virus disease alert management system in South Sudan was fully functional despite the associated challenges and provides evidence to further improve Ebola preparedness in the country. Public Library of Science 2020-11-30 /pmc/articles/PMC7728195/ /pubmed/33253169 http://dx.doi.org/10.1371/journal.pntd.0008872 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Olu, Olushayo Oluseun Lako, Richard Bunga, Sudhir Berta, Kibebu Kol, Matthew Ramadan, Patrick Otim Ryan, Caroline Udenweze, Ifeanyi Guyo, Argata Guracha Conteh, Ishata Huda, Qudsia Gai, Malick Saulo, Dina Papowitz, Heather Gray, Henry John Chimbaru, Alex Wangdi, Kencho Grube, Steven M. Barr, Beth Tippett Wamala, Joseph Francis Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019 |
title | Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019 |
title_full | Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019 |
title_fullStr | Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019 |
title_full_unstemmed | Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019 |
title_short | Analyses of the performance of the Ebola virus disease alert management system in South Sudan: August 2018 to November 2019 |
title_sort | analyses of the performance of the ebola virus disease alert management system in south sudan: august 2018 to november 2019 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728195/ https://www.ncbi.nlm.nih.gov/pubmed/33253169 http://dx.doi.org/10.1371/journal.pntd.0008872 |
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