A5037619599- Climate Change and Health Impacts
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Vector-borne infectious diseases
- Viral Infections and Vectors
- Climate change impacts on agriculture
- Remote Sensing and Land Use
- Urban Green Space and Health
- COVID-19 epidemiological studies
- Urban Transport and Accessibility
- Atmospheric and Environmental Gas Dynamics
- Zoonotic diseases and public health
- Climate variability and models
- Energy, Environment, Economic Growth
- Mosquito-borne diseases and control
Universidad de Sonora
2023
Sonora Institute of Technology
2018-2021
Rocky Mountain Spotted Fever (RMSF) is a disease caused by the Rickettsia rickettsii bacteria, transmitted bite of infected Ixodidae hard ticks. The incidence RMSF in Sonora, Mexico one highest at national level, with fatality rates above 30%. To better understand spatial distribution endemic urban areas Mexico, we explored how physical and social determinants relate its geographic patterns. We describe census tract level two cities examine correlation cumulative an index marginalization...
According to the Intergovernmental Panel on Climate Change (IPCC), global temperatures have risen at an alarming pace since early 20th century and this warming has been more pronounced 1970s. Temperature variations are significant because of their relation with thermal comfort public health. In study, we characterize impacts increasing maximum air in Sonora, Mexico. Heat days (HDs) heat waves (HWs) were used as indicators investigate historical trends extreme heat. Furthermore, HDs...
The case of an arid Northwest city Mexico is studied with the general objective assessing influence percentage vegetation cover (VC) in Land Surface Temperature (LST) and mapping its spatial distribution, through a geographic information system using remote sensing data. Results showed: 1) on average, 12% (min. 0 to max. 59%) block covered vegetation, 38% blocks had % VC ≤ 10; 2) LST regression model estimated temperatures range from 37 45°C, main explanatory variable was VC, increasing 10...
Objective. To characterize the geographic distribution of dengue and to evaluate spatial autocorrelation with social climatic determinants at census-tract level in two medium sized cities northwestern Mexico. Methods. In this work we apply analysis ecological tools, such as Moran’s Index Local Indicator Spatial Association (LISA) method, examine global local correlation between incidence dengue, socioeconomic factors census tract-level. For clustering, Getis-Ord method was used find...