Environmental epidemiology studies require models of multiple exposures to adjust for co-
exposure and explore interactions. We estimated spatiotemporal exposure to surface air …

Ambient fine particulate matter (PM 2.5) plays an important role in cardiovascular-and
respiratory-related death. Empirical statistical models have been widely applied to estimate …

Knowledge on the population history of endangered species is critical for conservation, but
whole-genome data on chimpanzees (Pan troglodytes) is geographically sparse. Here, we …

The aim of this research is to identify and characterize, in terms of length, intensity, and
spatial propagation, the main drought events which took place in the Po Valley (Italy) from …

Florida faces the challenge of repeated introduction and autochthonous transmission of
arboviruses transmitted by Aedes aegypti and Aedes albopictus. Empirically-based …

Initial assessment of landslide susceptible areas is important in designing landslide
mitigation measures. This study, a part of our study on the developing a landslide spatial …

The measurement and tracking of changes in soil organic carbon (SOC) stocks and its
underpinning drivers are important in greenhouse gas accounting and carbon trading …

Triggering hydrological simulations with climate change gridded datasets is one of the
prevailing approaches in climate change impact assessment at a river basin scale, with bias …

Overgrazing has driven degradation and desertification of semi-arid grasslands in Northern
China over recent decades. Selective grazing by sheep influences sward structure by …

Background Schistosomiasis japonica still remains of public health and economic
significance in China, especially in the lake and marshland areas along the Yangtze River …