With concerns about emerging ACT resistance in Asia, 26, 27 alternative approaches for malaria control are needed, new drugs need to be developed, and lastly, the possibility of reintroducing abandoned drugs needs to be explored.
These findings prompt new investigations on such topics as aging in adult insects, summer diapause in mosquitoes, the molecular basis, physiology, ecology, and population variation in aestivation, and the effect of aestivation on Plasmodium and malaria transmission as well as on novel approaches for malaria control by targeting aestivating mosquitoes.
It is therefore recommended that studies on potential interventional approach for placental malaria during pregnancy should consider intermittently supplementing placental malaria-high-risk-women with allowable levels of essential amino acids and other micronutrients in malaria endemic areas.
One approach for studying malaria disease phenotypes is genetic mapping, which requires typing a large number of genetic markers from multiple parasite strains and/or progeny from genetic crosses.
Thereby, we propose a very lucid approach for modeling malaria incidence in the Chennai city, Tamil Nadu, India, with a simple as well as flexible methodology and with a good capacity of forecasting over both long and short horizons.
The present study used a novel and comprehensive approach for the malaria projection in sub-Saharan Africa.
DDT may be a valuable short-term approach for controlling malaria, but measures should be taken to reduce human exposure to this pesticide.
A fast, precise, noninvasive, high-throughput, and simple approach for detecting malaria in humans and mosquitoes is not possible with current techniques that depend on blood sampling, reagents, facilities, tedious procedures, and trained personnel.
Applying different forecasting methods to the same data and exploring the predictive ability of non-environmental variables, including transmission reducing interventions, are necessary next steps as they will help determine the optimal approach and predictors for malaria forecasting.
The field is maturing and recent work has addressed these concerns (e.g. Molineaux et al., 2001; Dietz et al., 2006; Mideo et al., 2008), hopefully broadening the appeal (and thus the impact) of theoretical approaches for studying malaria pathogenesis.
