The genetic diversity of Amblyomma variegatum (Fabricius) from four Caribbean islands and five African countries was compared by analyzing the sequences of three gene fragments, two mitochondrial (12SrDNA and D-Loop-DL), and one nuclear (intergenic transcribed spacer 2 [ITS2]). Genetic variability of the ITS2 DNA fragment consisted of only uninformative single nucleotide mutations, and therefore this gene was excluded from further analyses. Mitochondrial gene divergences among African populations and between Caribbean and African populations were very low. Nevertheless, the data suggest that A. variegatum is divided into distinct East and West African groups, the western group including all Caribbean samples. Phylogenetic analyses of the 12SrDNA and DL gene sequences showed that the West African A. variegatum clustered in a well-supported monophyletic clade, distinct from eastern paraphyletic lineages. Sequences of A. variegatum from the Caribbean were embedded in the West African clade, which supports the known West African historical origin for these ticks.

This study sought to determine malaria knowledge levels, attitudes and practices of the communities in four malaria endemic provinces of Zambia. A cross-sectional survey on knowledge, attitude and practices (KAP) on malaria transmission, prevention and control was conducted among 584 household heads of randomly selected communities in Luapula, Lusaka, northwestern and western provinces in Zambia. Data analysis was performed by both descriptive and inferential statistics. Knowledge levels in malaria with regards to the mosquito being the vector and the capacity of malaria to kill were high in all the provinces and did not vary statistically. The two main sources of malaria information by weighted analysis were health facility and community health workers (CHWs). From the regression analysis, pain killer use was associated with high incomes, employment, secondary education, or higher, and the knowledge of fever as a sign for malaria. Additionally, the source of malaria information was related to education levels. There is a need to enhance information through available channels such as health facilities and CHWs and tailor them according to general education levels of a community.

No abstract

This study sought to determine malaria knowledge levels, attitudes and practices of the communities in four malaria endemic provinces of Zambia. A cross-sectional survey on knowledge, attitude and practices (KAP) on malaria transmission, prevention and control was conducted among 584 household heads of randomly selected communities in Luapula, Lusaka, north-western and western provinces in Zambia. Data analysis was performed by both descriptive and inferential statistics. Knowledge levels in malaria with regards to the mosquito being the vector and the capacity of malaria to kill were high in all the provinces and did not vary statistically. The two main sources of malaria information by weighted analysis were health facility and community health workers (CHWs). From the regression analysis, pain killer use was associated with high incomes, employment, secondary education, or higher, and the knowledge of fever as a sign for malaria. Additionally, the source of malaria information was related to education levels. There is a need to enhance information through available channels such as health facilities and CHWs and tailor them according to general education levels of a community.

Although malaria morbidity and mortality are greatly reduced globally owing to great control efforts, the disease remains the main contributor. In Zambia, all provinces are malaria endemic. However, the transmission intensities vary mainly depending on environmental factors as they interact with the vectors. Generally in Africa, possibly due to the varying perspectives and methods used, there is variation on the relative importance of malaria risk determinants. In Zambia, the role climatic factors play on malaria case rates has not been determined in combination of space and time using robust methods in modelling. This is critical considering the reversal in malaria reduction after the year 2010 and the variation by transmission zones. Using a geoadditive or structured additive semiparametric Poisson regression model, we determined the influence of climatic factors on malaria incidence in four endemic provinces of Zambia. We demonstrate a strong positive association between malaria incidence and precipitation as well as minimum temperature. The risk of malaria was 95% lower in Lusaka (ARR=0.05, 95% CI=0.04-0.06) and 68% lower in the Western Province (ARR=0.31, 95% CI=0.25-0.41) compared to Luapula Province. North-western Province did not vary from Luapula Province. The effects of geographical region are clearly demonstrated by the unique behaviour and effects of minimum and maximum temperatures in the four provinces. Environmental factors such as landscape in urbanised places may also be playing a role.