This analysis of existing data and literature on imported malaria cases points to historical and geographical patterns between non-endemic countries and malarious neighboring nations. Such patterns will prove significant in strategizing for malaria elimination and eradication.
This paper focuses on quantifying the international movements of malaria to improve understanding of these phenomena and facilitate the design of mitigation strategies.
Malaria, leishmaniasis, lymphatic filariasis, and dengue are prime candidates for combined vector control. All four of these diseases overlap considerably in their distributions and there is a growing body of evidence for the effectiveness of insecticide-treated nets, screens, and curtains for controlling all of their vectors. The real-world effectiveness of cross-disease vector control programmes can only be evaluated by large-scale trials, but there is clear evidence of the potential of such an approach to enable greater overall health benefit using the limited funds available.
This article, published in Nature found that Plasmodium falciparum infection prevalence in endemic Africa halved and the incidence of clinical disease fell by 40% between 2000 and 2015. Interventions have averted an estimated 663 (542–753 credible interval) million clinical cases since 2000. Insecticide-treated nets, the most widespread intervention, were by far the largest contributor (68% of cases averted).
Author: Battle KE, Bennett A, Bhatt S, Bisanzio D, Briet O, Cameron E, Cibulskis RE, Cohen JM, Dalrymple U, Eckhoff P, Eisele TP, Fergus CA, Gething PW, Griffin JT, Hay SI, Henry A, Lindgren F, Lynch M, Mappin B, Moyes CL, Murray CLJ, Penny MA, Smith DL, Smith TA, Weiss J, Wenger E, Yukich J
Publication date: September 2015
In China, the national malaria elimination programme has been operating since 2010. This study aimed to explore the epidemiological changes in patterns of malaria in China from intensified control to elimination stages.
This analysis represents the first effort to systematically audit covariate utility for malaria mapping and then derive an objective, empirically based set of environmental covariates for modeling PfPR.