Your browser doesn't support javascript.
Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool.
Owoyemi, Ayomide; Ikpe, Ron; Toye, Mariam; Rewane, Ayesan; Abdullateef, Moshood; Obaseki, Etin; Mustafa, Segun; Adeosun, Wale.
  • Owoyemi A; Department of Biomedical and Health Informatics, University of Illinois at Chicago, Chicago, IL, USA.
  • Ikpe R; Department of Clinical Services, MRI Medic Consulting, Lagos, Nigeria.
  • Toye M; Oumissa Inspire Health and Literacy, Lagos, Nigeria.
  • Rewane A; Rush University Clinical Research Program, Chicago, IL, USA.
  • Abdullateef M; The Wellviser Company, Lagos, Nigeria.
  • Obaseki E; Department of Computer Science, Covenant University, Ota, Nigeria.
  • Mustafa S; The Wellviser Company, Lagos, Nigeria.
  • Adeosun W; The Wellviser Company, Lagos, Nigeria.
Digit Health ; 7: 2055207621996876, 2021.
Article in English | MEDLINE | ID: covidwho-1112421
ABSTRACT
COVID-19 has rapidly spread across the globe and was declared a pandemic by the World Health Organization (WHO). The COVID-19 infection continues to spread across Africa. In Africa, mobile phone applications have been used for the surveillance and reporting of infectious diseases such as malaria, measles, polio, and other notifiable diseases as mandated by the WHO. A good example is the early warning alert and response system. We developed an eight-question triage tool using the Nigerian Centre for Disease Control surveillance case definitions for new coronavirus disease. Based on the assessed risk level we offered advice and guidance on the next steps. A user-administered tool such as this is vital to COVID19 control. It is also significant in relieving the burden on health systems, providing information on national health guidelines for prevention and control, fostering the participation of citizens, and giving them the next steps, pandemic control efforts become more effective.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Digit Health Year: 2021 Document Type: Article Affiliation country: 2055207621996876

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Digit Health Year: 2021 Document Type: Article Affiliation country: 2055207621996876