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Pak GD, Haselbeck AH, Seo HW, Osei I, Amuasi J, Breiman RF, Cruz Espinosa LM, Holm M, Im J, Jang GH, Jeon HJ, Luby SP, Lunguya-Metila O, MacWright W, Mogeni OD, Okeke IN, Owusu-Dabo E, Park JK, Park SE, Popoola O, Seo HJ, Soura AB, Teferi M, Toy T, Chon Y, Rafindrakalia M, Rakotozandrindrainy R, Meyer CG, Marks F, Panzner U. The HPAfrica protocol: Assessment of health behaviour and population-based socioeconomic, hygiene behavioural factors - a standardised repeated cross-sectional study in multiple cohorts in sub-Saharan Africa. BMJ Open 2018; 8:e021438. [PMID: 30573477 PMCID: PMC6303690 DOI: 10.1136/bmjopen-2017-021438] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 08/31/2018] [Accepted: 10/11/2018] [Indexed: 11/07/2022] Open
Abstract
INTRODUCTION The objective of the Health Population Africa (HPAfrica) study is to determine health behaviour and population-based factors, including socioeconomic, ethnographic, hygiene and sanitation factors, at sites of the Severe Typhoid Fever in Africa (SETA) programme. SETA aims to investigate healthcare facility-based fever surveillance in Burkina Faso, the Democratic Republic of the Congo, Ethiopia, Ghana, Madagascar and Nigeria. Meaningful disease burden estimates require adjustment for health behaviour patterns, which are assumed to vary among a study population. METHODS AND ANALYSIS For the minimum sample size of household interviews required, the assumptions of an infinite population, a design effect and age-stratification and sex-stratification are considered. In the absence of a population sampling frame or household list, a spatial approach will be used to generate geographic random points with an Aeronautical Reconnaissance Coverage Geographic Information System tool. Printouts of Google Earth Pro satellite imagery visualise these points. Data of interest will be assessed in different seasons by applying population-weighted stratified sampling. An Android-based application and a web service will be developed for electronic data capturing and synchronisation with the database server in real time. Sampling weights will be computed to adjust for possible differences in selection probabilities. Descriptive data analyses will be performed in order to assess baseline information of each study population and age-stratified and sex-stratified health behaviour. This will allow adjusting disease burden estimates. In addition, multivariate analyses will be applied to look into associations between health behaviour, population-based factors and the disease burden as determined in the SETA study. ETHICS AND DISSEMINATION Ethic approvals for this protocol were obtained by the Institutional Review Board of the International Vaccine Institute (No. 2016-0003) and by all collaborating institutions of participating countries. It is anticipated to disseminate findings from this study through publication on a peer-reviewed journal.
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Affiliation(s)
- Gi Deok Pak
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | | | - Hyeong Won Seo
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Isaac Osei
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology (KNUST), Ghana, Africa
| | - John Amuasi
- Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology (KNUST), Ghana, Africa
- School of Public Health, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
| | - Robert F Breiman
- Global Health Institute, Emory University, Atlanta, Georgia, USA
| | | | - Marianne Holm
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Justin Im
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Geun Hyeog Jang
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Hyon Jin Jeon
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Stephen P Luby
- Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California, USA
| | - Octavie Lunguya-Metila
- Service de Microbiologie, Cliniques Universitaires de Kinshasa, Kinshasa, Democratic Republic of the Congo
- Institut National de Recherche Biomédicales, Kinshasa, Democratic Republic of the Congo
| | | | | | - Iruka N Okeke
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria
| | - Ellis Owusu-Dabo
- School of Public Health, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
| | - Jin Kyung Park
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Se Eun Park
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Oluwafemi Popoola
- Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria
| | - Hye Jin Seo
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Abdramane Bassiahi Soura
- Institut Supérieur des Sciences de la Population, University of Ouagadougou, Ouagadougou, Burkina Faso
| | | | - Trevor Toy
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | - Yun Chon
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
| | | | | | - Christian G Meyer
- Faculty of Medicine, Duy Tan University, Da Nang, Vietnam
- Institute of Tropical Medicine, Eberhard Karls University, Tübingen, Germany
| | - Florian Marks
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
- The Department of Medicine, The University of Cambridge, Cambridge, UK
| | - Ursula Panzner
- International Vaccine Institute, Gwanak-gu, Seoul, Republic of Korea
- Swiss Tropical and Public HealthInstitute (Swiss TPH), Basel, Switzerland
- University of Basel, Basel, Switzerland
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