| Literature DB >> 33997859 |
Mamadou Diallo1, Alimou Traore2, Myk Mwanza Nzioki1, Ayangma Richelot1, Kouryana Stephane3, Joseph Okeibunor1, Mkanda Pascal1, Samuel Okiror4, Johnson Ticha1.
Abstract
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.Entities:
Keywords: AFP; AVADAR; Lake Chad Polio Outbreak Priority Districts; Outbreak; Poliovirus
Year: 2021 PMID: 33997859 PMCID: PMC7610764 DOI: 10.29245/2578-3009/2021/S2.1101
Source DB: PubMed Journal: J Immunol Sci
Figure 2Showing the epidemiological zones with the priority districts marked for implementation of AVADAR
Figure 3Stakeholders in Lake Chad Polio Outbreak Response AVADAR Project
Training and deployment in Chad
| Country | Type of implementation | Region/State | Number of Districts/LGAs | Investigators | Health Workers | Community Informants | Mobile Phones |
|---|---|---|---|---|---|---|---|
| Cameroon | Pilots | Far North | 3 | 90 | 15 | 335 | 700 |
| Expansion | Far North | 3 | 72 | 308 | 550 | ||
| Chad | Pilots | Hadjer Lamis | 6 | 98 | 67 | 334 | 600 |
| Expansion | Lac | 3 | 57 | 225 | 805 | ||
| Niger | Pilots | Diffa | 3 | 103 | 273 | 700 | |
| Expansion | Maradi/Zinder | 3 | 75 | 605 | |||
| Nigeria | Pilots 2016 | Abuja/Kwara | 2 | 7 | 58 | 140 | 250 |
| Scale up 2016 | Borno | 8 | 25 | 97 | 430 | 663 | |
| Epansion2 2017 | Sokoto/Adamawa/Yobe | 31 | 65 | 821 | 1,502 | 2870 | |
| Expansio3 2019 | NA | NA | NA | NA | NA | NA | |
| Total | 62 | 592 | 1058 | 3547 | 7743 | ||
Figure 4AVADAR conducted in high priority districts in the Lake Chad Basin
Detection of additional AFP cases attributed to AVADAR
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| 9 | 17 | 15,362 | 1,4666 | 95% | 118 | 85 | 203 |
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| 6 | 6 | 1,440 | 1,284 | 89% | 110 | 46 | 156 |
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| 6 | 15 | 169 | 165 | 98% | 89 | 81 | 170 |
| Cameroon | 4 | 10 | 3,048 | 2,715 | 89% | 72 | 33 | 105 |
| TOTAL | 25 | 48 | 20,019 | 16,830 | 94% | 389 | 245 | 634 |
Figure 5Trends in AFP cases reported in the Lake Chad Polio Priority Districts
Figure 7AVADAR True AFP Cases with Geocodes in Priority Districts, 2018
Figure 8AFP cases notified via AVADAR vs traditional system in 2017
Figure 9AFP cases notified via AVADAR vs traditional system in 2018 W1-W43
Figure 10AFP cases notified via AVADAR vs traditional system in 2019 W1-W45