Background: Numerous studies have quantified the associations between ambient temperature and enteric infections, particularly all-cause enteric infections. However, the temperature sensitivity of enteric infections might be pathogen dependent. Here, we sought to identify pathogen-specific associations between ambient temperature and enteric infections.
An innovative approach towards the holistic and multidisciplinary study of the victimization of women by drug-facilitated sexual assault has been developed. This phenomenon constitutes a significant problem given the narrowing of the gender gap in drug use over the last few decades and the widespread presence of psychoactive substances worldwide. As violence against women and drug misuse intersect in this phenomenon, this intersectional nature emphasizes the need for a novel approach that enables us to go beyond the studies carried out to date.
Reductions in carbon emissions have been a focus of the power sector. However, the sector itself is vulnerable to the impacts of global warming. Extreme weather events and gradual changes in climate variables can affect the reliability, cost, and environmental impacts of the energy supply. This paper analyzed the interplay between CO2 mitigation attempts and adaptations to climate change in the power sector using the Long-range Energy Alternative Planning System (LEAP) model.
Microplastics pollution in aquatic ecosystems has aroused increasing global concern, leading to an explosive growth of studies regarding microplastics published in the past few years. To date, there is still a lack of standardized methodologies used for the detection of microplastics within environmental samples, thus hampering comparison of the reported data.
Elsevier, Health and Place, Volume 31, January 01, 2015
Many cross-sectional studies of neighbourhood effects on health do not employ strong study design elements. The Neighbourhood Effects on Health and Well-being (NEHW) study, a random sample of 2412 English-speaking Toronto residents (age 25-64), utilises strong design features for sampling neighbourhoods and individuals, characterising neighbourhoods using a variety of data sources, measuring a wide range of health outcomes, and for analysing cross-level interactions.