Though China is not typically associated with high malaria rates, P. falciparum infections have been rising, due to business and travel between Africa and China. This article discusses some of the key factors in this trend, suggesting ways that malaria importation may be mitigated.
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.
This paper shows how malaria incidence can be modelled at a fine spatial and temporal resolution from health facility data to help focus surveillance and control to population not attending health facilities.
By linking transmission to parasite flow [via human mobility], it is possible to stratify landscapes for malaria control and elimination as [malaria parasite] sources are disproportionately important to the regional persistence of malaria parasites. [This study] examined how the landscape of transmission and burden changed from the pre-elimination setting by comparing the location and extent of predicted pre-elimination transmission foci with modeled incidence for 2009.
Indicators relating to socio-economic improvements were strongly correlated with the decline of malaria in Europe, whereas those describing climatic and land use changes showed weaker relationships. Present-day malaria-elimination countries have now arrived at similar socio-economic indicator levels as European countries at the time malaria elimination was achieved, offering hope for achievement of sustainable elimination.
National census data for Kenya, Tanzania and Uganda were analysed to highlight patterns in cross-border migration by mapping significant origin-specific immigrant ‘hotspots’ and sub-national areas that should consider collaborating on control and elimination strategies with neighbouring countries. The outcomes of this study will feed into wider efforts to quantify and model human and malaria movements in endemic regions to facilitate improved intervention planning, resource allocation and collaborative policy decisions.