Muthui, MK, Mogeni, P, Mwai, K, Nyundo, C, Macharia, A, Williams, TN, Nyangweso, G, Wambua, J, Mwanga, D, Marsh, K, Bejon, P and Kapulu, MC. 2019. Kilifi Malaria Longitudinal Cohort cross-sectional survey and weekly-follow-up surveillance data for the estimation of parasite prevalence and factors associated with gametocyte carriage. [Online]. Harvard Dataverse. Available from: https://doi.org/10.7910/DVN/18QB3V
Muthui, MK, Mogeni, P, Mwai, K, Nyundo, C, Macharia, A, Williams, TN, Nyangweso, G, Wambua, J, Mwanga, D, Marsh, K, Bejon, P and Kapulu, MC. Kilifi Malaria Longitudinal Cohort cross-sectional survey and weekly-follow-up surveillance data for the estimation of parasite prevalence and factors associated with gametocyte carriage [Internet]. Harvard Dataverse; 2019. Available from: https://doi.org/10.7910/DVN/18QB3V
Muthui, MK, Mogeni, P, Mwai, K, Nyundo, C, Macharia, A, Williams, TN, Nyangweso, G, Wambua, J, Mwanga, D, Marsh, K, Bejon, P and Kapulu, MC (2019). Kilifi Malaria Longitudinal Cohort cross-sectional survey and weekly-follow-up surveillance data for the estimation of parasite prevalence and factors associated with gametocyte carriage. [Data Collection]. Harvard Dataverse. https://doi.org/10.7910/DVN/18QB3V
Description
Data from a longitudinally monitored cohort of children from Kilifi county located along the Kenyan coast collected between 1998-2016 were analysed to describe the distribution and prevalence of gametocytaemia in relation to transmission intensity, time and age. The datasets comprise data from cross-sectional surveys and weekly follow-up visits carried out within the Kilifi Malaria Longitudinal Cohort based in Kilifi County, Kenya on children aged between 0 – 15 years. The datasets were used to carry out analyses aimed at describing the prevalence of gametocyte carriage in this cohort as well as factors that predispose gametocyte carriage. The overall aim of the analyses was to identify prognostic indicators of populations contributing disproportionately to the infectious reservoir of malaria.
Keywords
Data capture method | Unknown |
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Date (Date published in a 3rd party system) | 12 March 2019 |
Language(s) of written materials | English |
Data Creators | Muthui, MK, Mogeni, P, Mwai, K, Nyundo, C, Macharia, A, Williams, TN, Nyangweso, G, Wambua, J, Mwanga, D, Marsh, K, Bejon, P and Kapulu, MC |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 27 Apr 2022 17:41 |
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Last Modified | 27 Apr 2022 17:41 |
Publisher | Harvard Dataverse |