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Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts
The Auto Visual AFP Detection and Response (AVADAR) is a community-based digital platform that deals with the collection and distribution of real-time information. AVADAR makes it possible to report suspected cases of paralysis in the field at the central level. Once a suspected Acute Flaccid Paraly...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610764/ https://www.ncbi.nlm.nih.gov/pubmed/33997859 http://dx.doi.org/10.29245/2578-3009/2021/S2.1101 |
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author | Diallo, Mamadou Traore, Alimou Nzioki, Myk Mwanza Richelot, Ayangma Stephane, Kouryana Okeibunor, Joseph Pascal, Mkanda Okiror, Samuel Ticha, Johnson |
author_facet | Diallo, Mamadou Traore, Alimou Nzioki, Myk Mwanza Richelot, Ayangma Stephane, Kouryana Okeibunor, Joseph Pascal, Mkanda Okiror, Samuel Ticha, Johnson |
author_sort | Diallo, Mamadou |
collection | PubMed |
description | The Auto Visual AFP Detection and Response (AVADAR) is a community-based digital platform that deals with the collection and distribution of real-time information. AVADAR makes it possible to report suspected cases of paralysis in the field at the central level. Once a suspected Acute Flaccid Paralysis (AFP) case is detected, a series of reports are sent to the following stakeholders: the nearest training officer, the district focal point, the district AVADAR team, the regional focal point, the central level of the Ministry of Health (MoH) and World Health Organization Country Office (WCO) by SMS and email. The health worker will go to the field to join the community informant who notified the case for a clinical investigation. At the end of this investigation, the health worker via a smartphone will submit an investigation report validating or invalidating the suspected case notified as a true case of AFP or False case. A small server called a gateway is positioned at the central level to ensure the information link between community informants and health workers in each district. A large server is placed in Geneva at Novel-T which allows all countries to connect and view the data in real time. The geolocation of all alerts and investigations of AFP cases is the cornerstone of AVADAR data |
format | Online Article Text |
id | pubmed-7610764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-76107642021-05-13 Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts Diallo, Mamadou Traore, Alimou Nzioki, Myk Mwanza Richelot, Ayangma Stephane, Kouryana Okeibunor, Joseph Pascal, Mkanda Okiror, Samuel Ticha, Johnson J Immunol Sci Article The Auto Visual AFP Detection and Response (AVADAR) is a community-based digital platform that deals with the collection and distribution of real-time information. AVADAR makes it possible to report suspected cases of paralysis in the field at the central level. Once a suspected Acute Flaccid Paralysis (AFP) case is detected, a series of reports are sent to the following stakeholders: the nearest training officer, the district focal point, the district AVADAR team, the regional focal point, the central level of the Ministry of Health (MoH) and World Health Organization Country Office (WCO) by SMS and email. The health worker will go to the field to join the community informant who notified the case for a clinical investigation. At the end of this investigation, the health worker via a smartphone will submit an investigation report validating or invalidating the suspected case notified as a true case of AFP or False case. A small server called a gateway is positioned at the central level to ensure the information link between community informants and health workers in each district. A large server is placed in Geneva at Novel-T which allows all countries to connect and view the data in real time. The geolocation of all alerts and investigations of AFP cases is the cornerstone of AVADAR data 2021-04-13 /pmc/articles/PMC7610764/ /pubmed/33997859 http://dx.doi.org/10.29245/2578-3009/2021/S2.1101 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license. |
spellingShingle | Article Diallo, Mamadou Traore, Alimou Nzioki, Myk Mwanza Richelot, Ayangma Stephane, Kouryana Okeibunor, Joseph Pascal, Mkanda Okiror, Samuel Ticha, Johnson Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts |
title | Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts |
title_full | Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts |
title_fullStr | Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts |
title_full_unstemmed | Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts |
title_short | Auto Visual AFP Detection and Response (AVADAR) Improved Polio Surveillance in Lake Chad Polio Outbreak Priority Districts |
title_sort | auto visual afp detection and response (avadar) improved polio surveillance in lake chad polio outbreak priority districts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610764/ https://www.ncbi.nlm.nih.gov/pubmed/33997859 http://dx.doi.org/10.29245/2578-3009/2021/S2.1101 |
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