Pak, Gi Deok and Haselbeck, Andrea Haekyung and Seo, Hyeong Won and Osei, Isaac and Amuasi, John and Breiman, Robert F. and Cruz Espinosa, Ligia Maria and Holm, Marianne and Im, Justin and Jang, Geun Hyeog and Jeon, Hyon Jin and Luby, Stephen P. and Lunguya-Metila, Octavie and MacWright, William and Mogeni, Ondari Daniel and Okeke, Iruka N. and Owusu-Dabo, Ellis and Park, Jin Kyung and Park, Se Eun and Popoola, Oluwafemi and Seo, Hye Jin and Soura, Abdramane Bassiahi and Teferi, Mekonnen and Toy, Trevor and Chon, Yun and Rafindrakalia, Mathilde and Rakotozandrindrainy, Raphaël and Meyer, Christian G. and Marks, Florian and Panzner, Ursula.
(2018)
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, 8 (12).
e021438.
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Official URL: https://edoc.unibas.ch/68188/
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Abstract
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.; 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.; 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.
Faculties and Departments: | 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) 09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Medical Parasitology and Infection Biology (MPI) > Helminth Drug Development (Keiser) |
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UniBasel Contributors: | Panzner, Ursula |
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Item Type: | Article, refereed |
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Article Subtype: | Research Article |
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Publisher: | BMJ Publishing Group |
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e-ISSN: | 2044-6055 |
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Note: | Publication type according to Uni Basel Research Database: Journal article |
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Language: | English |
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Identification Number: | |
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edoc DOI: | |
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Last Modified: | 29 Jan 2019 14:26 |
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Deposited On: | 29 Jan 2019 14:26 |
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