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Design and Field Methods of the ARISE Network COVID-19 Rapid Monitoring Survey.
Hemler, Elena C; Korte, Michelle L; Lankoande, Bruno; Millogo, Ourohiré; Assefa, Nega; Chukwu, Angela; Workneh, Firehiwot; Tinkasimile, Amani; Lyatuu, Isaac; Soura, Abdramane; Wang, Dongqing; Madzorera, Isabel; Vuai, Said; Bärnighausen, Till; Sando, Mary Mwanyika; Killewo, Japhet; Oduola, Ayoade; Sie, Ali; Berhane, Yemane; Fawzi, Wafaie W.
  • Hemler EC; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Korte ML; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Lankoande B; 2Institut Supérieur des Sciences de la Population, University of Ouagadougou, Ouagadougou, Burkina Faso.
  • Millogo O; 3Nouna Health Research Center, Nouna, Burkina Faso.
  • Assefa N; 4College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
  • Chukwu A; 5Department of Statistics, University of Ibadan, Ibadan, Nigeria.
  • Workneh F; 6Department of Epidemiology and Biostatistics, Addis Continental Institute of Public Health, Addis Ababa, Ethiopia.
  • Tinkasimile A; 7Africa Academy for Public Health, Dar es Salaam, Tanzania.
  • Lyatuu I; 7Africa Academy for Public Health, Dar es Salaam, Tanzania.
  • Soura A; 2Institut Supérieur des Sciences de la Population, University of Ouagadougou, Ouagadougou, Burkina Faso.
  • Wang D; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Madzorera I; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Vuai S; 8College of Natural and Mathematical Sciences, University of Dodoma, Dodoma, Tanzania.
  • Bärnighausen T; 1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
  • Sando MM; 9Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
  • Killewo J; 10Africa Health Research Institute, KwaZulu-Natal, South Africa.
  • Oduola A; 7Africa Academy for Public Health, Dar es Salaam, Tanzania.
  • Sie A; 11Department of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
  • Berhane Y; 12University of Ibadan Research Foundation, University of Ibadan, Ibadan, Nigeria.
  • Fawzi WW; 3Nouna Health Research Center, Nouna, Burkina Faso.
Am J Trop Med Hyg ; 105(2): 310-322, 2021 Jun 23.
Article in English | MEDLINE | ID: covidwho-1280854
ABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic has significant health and economic ramifications across sub-Saharan Africa (SSA). Data regarding its far-reaching impacts are severely lacking, thereby hindering the development of evidence-based strategies to mitigate its direct and indirect health consequences. To address this need, the Africa Research, Implementation Science, and Education (ARISE) Network established a mobile survey platform in SSA to generate longitudinal data regarding knowledge, attitudes, and practices (KAP) related to COVID-19 prevention and management and to evaluate the impact of COVID-19 on health and socioeconomic domains. We conducted a baseline survey of 900 healthcare workers, 1,795 adolescents 10 to 19 years of age, and 1,797 adults 20 years or older at six urban and rural sites in Burkina Faso, Ethiopia, and Nigeria. Households were selected using sampling frames of existing Health and Demographic Surveillance Systems or national surveys when possible. Healthcare providers in urban areas were sampled using lists from professional associations. Data were collected through computer-assisted telephone interviews from July to November 2020. Consenting participants responded to surveys assessing KAP and the impact of the pandemic on nutrition, food security, healthcare access and utilization, lifestyle, and mental health. We found that mobile telephone surveys can be a rapid and reliable strategy for data collection during emergencies, but challenges exist with response rates. Maintaining accurate databases of telephone numbers and conducting brief baseline in-person visits can improve response rates. The challenges and lessons learned from this effort can inform future survey efforts during COVID-19 and other emergencies, as well as remote data collection in SSA in general.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Design / Epidemiological Monitoring / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Africa Language: English Journal: Am J Trop Med Hyg Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Design / Epidemiological Monitoring / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Adolescent / Adult / Child / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Africa Language: English Journal: Am J Trop Med Hyg Year: 2021 Document Type: Article