AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria
Abstract Background Eradication of polio requires that the acute flaccid paralysis (AFP) surveillance system is sensitive enough to detect all cases of AFP, and that such cases are promptly reported and investigated by disease surveillance personnel. When individuals, particularly community informan...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2018-12-01
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12889-018-6187-x |
| _version_ | 1819265505620393984 |
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| author | Faisal M. B. Shuaib Philip F. Musa Sisay Tegegne Gashu Chima Onoka Salihu Abdullahi Ahmed Murtala Bagana Michael Galway Fiona Braka Ticha Johnson Muluh Richard Banda Godwin Akpan Ajiboye Tunji Umar Kabo Idris Adedolapo Olusoga Patrick Briand Nwanyibuife Obiako Tonia Nebechukwu Pascal Mkanda |
| author_facet | Faisal M. B. Shuaib Philip F. Musa Sisay Tegegne Gashu Chima Onoka Salihu Abdullahi Ahmed Murtala Bagana Michael Galway Fiona Braka Ticha Johnson Muluh Richard Banda Godwin Akpan Ajiboye Tunji Umar Kabo Idris Adedolapo Olusoga Patrick Briand Nwanyibuife Obiako Tonia Nebechukwu Pascal Mkanda |
| author_sort | Faisal M. B. Shuaib |
| collection | DOAJ |
| description | Abstract Background Eradication of polio requires that the acute flaccid paralysis (AFP) surveillance system is sensitive enough to detect all cases of AFP, and that such cases are promptly reported and investigated by disease surveillance personnel. When individuals, particularly community informants, are unaware of how to properly detect AFP cases or of the appropriate reporting process, they are unable to provide important feedback to the surveillance network within a country. Methods We tested a new SMS-based smartphone application (App) that enhances the detection and reporting of AFP cases to improve the quality of AFP surveillance. Nicknamed Auto-Visual AFP Detection and Reporting (AVADAR), the App creates a scenario where the AFP surveillance network is not dependent on a limited number of priority reporting sites. Being installed on the smartphones of multiple health workers (HWs) and community health informants (CHIs) makes the App an integral part of the detection and reporting system. Results Results from two phases of tests conducted in Nigeria point to the effectiveness of the App in the surveillance of AFP. Conclusion We posit that appropriate use of the App can soon bring about a worldwide eradication of poliomyelitis. |
| first_indexed | 2024-12-23T20:46:27Z |
| format | Article |
| id | doaj.art-38a540fcbbd94012b80c7ea8f8750314 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-23T20:46:27Z |
| publishDate | 2018-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-38a540fcbbd94012b80c7ea8f87503142022-12-21T17:31:47ZengBMCBMC Public Health1471-24582018-12-0118S4576510.1186/s12889-018-6187-xAVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in NigeriaFaisal M. B. Shuaib0Philip F. Musa1Sisay Tegegne Gashu2Chima Onoka3Salihu Abdullahi Ahmed4Murtala Bagana5Michael Galway6Fiona Braka7Ticha Johnson Muluh8Richard Banda9Godwin Akpan10Ajiboye Tunji11Umar Kabo Idris12Adedolapo Olusoga13Patrick Briand14Nwanyibuife Obiako15Tonia Nebechukwu16Pascal Mkanda17National Primary Health Care AgencyThe University of Alabama at BirminghamWorld Health Organization country Representative OfficeNational Primary Health Care AgencyWorld Health Organization country Representative OfficeNational Primary Health Care AgencyBill and Melinda Gates FoundationWorld Health Organization country Representative OfficeWorld Health Organization country Representative OfficeWorld Health Organization country Representative OfficeWorld Health Organization country Representative OfficeWorld Health Organization country Representative OfficeEHealth Africa, Nigeria officeEHealth Africa, Nigeria officeNovel-TEHealth Africa, Nigeria officeBill and Melinda Gates FoundationWorld Health Organization country Representative OfficeAbstract Background Eradication of polio requires that the acute flaccid paralysis (AFP) surveillance system is sensitive enough to detect all cases of AFP, and that such cases are promptly reported and investigated by disease surveillance personnel. When individuals, particularly community informants, are unaware of how to properly detect AFP cases or of the appropriate reporting process, they are unable to provide important feedback to the surveillance network within a country. Methods We tested a new SMS-based smartphone application (App) that enhances the detection and reporting of AFP cases to improve the quality of AFP surveillance. Nicknamed Auto-Visual AFP Detection and Reporting (AVADAR), the App creates a scenario where the AFP surveillance network is not dependent on a limited number of priority reporting sites. Being installed on the smartphones of multiple health workers (HWs) and community health informants (CHIs) makes the App an integral part of the detection and reporting system. Results Results from two phases of tests conducted in Nigeria point to the effectiveness of the App in the surveillance of AFP. Conclusion We posit that appropriate use of the App can soon bring about a worldwide eradication of poliomyelitis.http://link.springer.com/article/10.1186/s12889-018-6187-xPolioAcute flaccid paralysisAVADARSurveillanceTechnologySmartphone |
| spellingShingle | Faisal M. B. Shuaib Philip F. Musa Sisay Tegegne Gashu Chima Onoka Salihu Abdullahi Ahmed Murtala Bagana Michael Galway Fiona Braka Ticha Johnson Muluh Richard Banda Godwin Akpan Ajiboye Tunji Umar Kabo Idris Adedolapo Olusoga Patrick Briand Nwanyibuife Obiako Tonia Nebechukwu Pascal Mkanda AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria BMC Public Health Polio Acute flaccid paralysis AVADAR Surveillance Technology Smartphone |
| title | AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria |
| title_full | AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria |
| title_fullStr | AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria |
| title_full_unstemmed | AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria |
| title_short | AVADAR (Auto-Visual AFP Detection and Reporting): demonstration of a novel SMS-based smartphone application to improve acute flaccid paralysis (AFP) surveillance in Nigeria |
| title_sort | avadar auto visual afp detection and reporting demonstration of a novel sms based smartphone application to improve acute flaccid paralysis afp surveillance in nigeria |
| topic | Polio Acute flaccid paralysis AVADAR Surveillance Technology Smartphone |
| url | http://link.springer.com/article/10.1186/s12889-018-6187-x |
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