Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ogobara, J and Greenwood, B. 2020. AZ-SMC Trial - School child parasitaemia dataset. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00001934.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ogobara, J and Greenwood, B. AZ-SMC Trial - School child parasitaemia dataset [Internet]. London School of Hygiene & Tropical Medicine; 2020. Available from: https://doi.org/10.17037/DATA.00001934.
Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ogobara, J and Greenwood, B (2020). AZ-SMC Trial - School child parasitaemia dataset. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00001934.
Description
Survey data collected from school children to determine the levels of malaria infection present in individuals living in the study area, who were not protected by seasonal malaria chemoprevention. Data was collected as part of the AZ-SMC trial (clinicaltrials.gov NCT02211729) in Houndé District, Burkina Faso and Bougouni District, Mali between 2014 and 2016.
Additional information
This dataset is restricted for ethical reasons related to the original study. Access will be provided for use in ethically-approved research on condition that a Data Transfer Agreement is signed. This will set out conditions on permitted use to ensure participant confidentiality is maintained at all times.
Description of data capture | Data on morbidity events (including the primary outcome) were captured through a passive surveillance system at health centres and hospitals in the study area. Data on administration of study drugs was captured using Tablet PCs at the time that children were contacted to provide the monthly SMC treatments. Data on the prevalence of P falciparum infection were collected from study children at cross-sectional surveys at the end of each malaria transmission season, at weekly surveys conducted in a sample of study children, and from school-age children resident in the study area at the end of each rainy season. The treatment efficacy of sulphadoxine-pyrimethamine plus amodiaquine was assessed in children with asymptomatic P falciparum infections at the end of the study in December 2016. | ||||||||||||
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Data capture method | Physical measurements and tests | ||||||||||||
Data Collection Period |
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Date (Date submitted to LSHTM repository) | 30 September 2020 | ||||||||||||
Geographical area covered (offline during plugin upgrade) |
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Language(s) of written materials | English, French |
Data Creators | Chandramohan, D, Dicko, A, Zongo, I, Sagara, I, Cairns, M, Kuepfer, I, Diarra, M, Barry, A, Tapily, A, Nikiema, F, Yerbanga, S, Coumare, S, Thera, I, Traore, A, Milligan, P, Tinto, H, Doumbo, O, Ogobara, J and Greenwood, B |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, Malaria Research and Training Center, University of Bamako, Bamako, Mali, Ministry of Health, Ouagadougou, Burkina Faso, Research Institute of Health Sciences (IRSS), Ouagadougou, Burkina Faso |
Funders |
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Date Deposited | 28 Oct 2020 17:04 |
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Last Modified | 08 Jul 2021 12:52 |
Publisher | London School of Hygiene & Tropical Medicine |
Downloads
Data / Code
Restricted to: Request access for all
Filename: Child_parasitaemia_dataset.txt
Description: Child parsitaemia dataset
Licence: Data Sharing Agreement
Content type: Dataset
File size: 101B
Mime-Type: text/plain