We sequenced the coding regions of pvs25 and pvs28 from 30 P. vivax isolates from Yunnan Province, identifying five amino acid haplotypes of Pvs25 and seven amino acid haplotypes of Pvs28. Among a total of four mutant residues, the predominant haplotype of Pvs25 only had the I130T substitution.
The goal of this study was to compare the abundance and host-seeking behavior of culicine species and An. sinensis in Yongcheng city, a representative region of P. vivax malaria.
Having worked with numerous species of research nonhuman primates over the past 26 years, I have a keen interest in related occupational health and safety.
Levels of genetic variation within An. lesteri populations were higher than among them.
Using two polymorphic genetic markers, the merozoite surface protein genes PvMSP-3α and PvMSP-3β, we investigated the genetic diversity of four Southeast Asian P. vivax populations, representing both subtropical and temperate strains with dramatically divergent relapse patterns. PCR amplification of PvMSP-3α and PvMSP-3β genes detected three and four major size polymorphisms among the 235 infections examined, respectively, while restriction analysis detected 15 and 19 alleles, respectively.
Even in a small traditional malaria endemic area, malaria incidence has a significant spatial and temporal heterogeneity on the finer spatial and temporal scales.
Meteorological variables play important environmental roles in malaria transmission.
We compare alternative hypotheses concerning the origin of this pattern. The observed data deviate from the expectations based on a single-panmictic population with or without growth, or a stable but spatially structured population.
Malaria was epidemic in Huang-Huai River locally and re-emerging in recent years. The higher risk of people attacked by malaria based on the spatial distribution between malaria cases and water-body, the changing of meteorological factors, especially temperature, and the increasing vectorial capacity and basic reproductive rate of Anopheles sinensis leaded to the malaria re-emergence in Huang-Huai River of central China.
The spatiotemporal distribution of malaria in Hainan varied in different areas and during different years. The monthly trends in the malaria epidemics in Hainan could be predicted effectively by using the multivariate time series model.