Stefano Mammola, Martino Adamo ... Ricardo A Correia
Different species-level characteristics and sociocultural factors influence scientific and societal interest in biodiversity, with important implications for species-level conservation and dissemination.
Instead of repelling, Desmodium, a hallmark of pest suppressive sustainable intercropping, acts as a mechanical and developmental barrier to larvae, thereby truncating population development.
Michelle M Riehle, Tullu Bukhari ... Kenneth D Vernick
A common chromosome inversion in African malaria mosquito (Anopheles gambiae) is associated with differences in malaria infection, adult resting behavior and ecology, and may aid the most efficient vectors to evade malaria control.
The impact of mass intervention campaigns is determined by the interaction between implementation logistics, patterns of human mobility and how transmission risk is distributed over space.
Analysis of a large Kenyan dataset may resolve previously conflicting studies by identifying polymorphisms which interact to modify the risk of cerebral malaria.
Marie C Russell, Catherine M Herzog ... Andrew C McCall
While predators can clearly reduce mosquito populations by consumption, they can also have non-consumptive effects on mosquito body size and oviposition behavior, and these effects on vector traits can influence infectious disease dynamics.
The number of sporozoites expelled by mosquitoes that are infected with lab-cultured or naturally circulating Plasmodium falciparum gametocytes is heterogeneous and associated with the sporozoite load in their salivary glands.
Yael Artzy-Randrup, Mary M Rorick ... Mercedes Pascual
Mathematical modeling shows that local populations of the malaria parasite self-organize into a limited number of transient but distinct strains through competition for hosts in immunity space.
The introduction of rapid diagnostic testing for Plasmodium falciparum infections can explain an increased emergence of diagnostic resistant pfhrp2-deleted parasites in sub-Saharan Africa.
Models of malaria and treatment dynamics were combined with emulator-based global sensitivity analysis to elucidate the interplay between drug, biology, and epidemiological factors on the evolution of resistance to malaria treatments, including artemisinin.
