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Bayesian model

Fine scale analysis of malaria incidence in under-5: hierarchical Bayesian spatio-temporal modelling of routinely collected malaria data between 2012-2018 in Cameroon

June 9, 2021 - 14:56 -- Open Access
Danwang C, Khalil É, Achu D, Ateba M, Abomabo M, Souopgui J, De Keukeleire M, Robert A
Sci Rep. 2021 Jun 1;11(1):11408

The current study aims to provide a fine-scale spatiotemporal estimate of malaria incidence among Cameroonian under-5, and to determine its associated environmental factors, to set up preventive interventions that are adapted to each health district of Cameroon. Routine data on symptomatic malaria in children under-5 collected in health facilities, between 2012 and 2018 were used.

Modelling of malaria risk, rates, and trends: A spatiotemporal approach for identifying and targeting sub-national areas of high and low burden

March 2, 2021 - 15:21 -- Open Access
Lubinda J, Bi Y, Hamainza B, Haque U, Moore AJ
PLoS Comput Biol. 2021 Mar 1;17(3):e1008669

While mortality from malaria continues to decline globally, incidence rates in many countries are rising. Within countries, spatial and temporal patterns of malaria vary across communities due to many different physical and social environmental factors. To identify those areas most suitable for malaria elimination or targeted control interventions, we used Bayesian models to estimate the spatiotemporal variation of malaria risk, rates, and trends and determine areas of high or low malaria burden compared to their geographical neighbours.

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