Metrics details. The most widely used measures of declining burden of malaria across sub-Saharan Africa are predictions from geospatial models. These models apply spatiotemporal autocorrelations and covariates to parasite prevalence data and then use a function of parasite prevalence to predict clinical malaria incidence. We attempted to assess whether trends in malaria cases, based on local surveillance, were similar to those captured by Malaria Atlas Project MAP incidence surfaces.
Metrics details. Malaria is a public health problem especially in vulnerable groups such as pregnant women and children under five years in Cameroon including the Buea Health District BHD. Misconceptions concerning it exist. A community-based cross-sectional study was conducted in the BHD in August, in five health areas. A questionnaire was used to collect data on demographic variables, knowledge and perceptions towards malaria control from respondents aged 15—73 years.
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