Impact of deforestation and climate on spatio-temporal spread of dengue fever in Mexico.

Dengue prevalence results from the interaction of multiple socio-environmental variables which influence its spread. This study investigates the impact of forest loss, precipitation, and temperature on dengue incidence in Mexico from 2010 to 2020 using a Bayesian hierarchical spatial model. Three temporal structures-AR1, RW1, and RW2-were compared, with RW2 showing superior performance.

[Proposed Pedestrian Crosswalk Safety Rating for Mexico CityProposta de um índice de segurança de travessia de pedestres para a Cidade do México].

Objective: Propose a pedestrian crosswalk safety rating (PCSR) for primary roads in Mexico City in order to rate crosswalk safety at intersections with a traffic light and then compare the PCSR with traffic accidents so as to empirically determine any association between the quality of the crosswalk and the traffic accident rate.

Methods: Identify criteria for the rating system through a state-of-the art review; weight the criteria to create a rating system through multicriterion analysis; design a stratified random sample of crosswalks (n = 490); and evaluate the data set.

Results: Through the PCSR, 91.