Social indicators, landscape and climate change: effects on emerging, reemerging and infectious diseases
Epidemiology. Public health. Atlantic forest.
The research addressed the relationship between environmental factors and environmental degradation, caused by anthropic actions on human health in the dynamics of the increase in emerging, re-emerging and infectious diseases. The objective of the research was to verify the possible relationships between health and environment in the domain of confirmed notifications of emerging and infectious diseases, evaluating how environmental factors and environmental degradation can increase the incidence of some diseases in the municipalities of Southern Bahia. Seventy municipalities that make up the mesoregion of southern Bahia were evaluated, including the profile of the following emerging infectious and respiratory diseases: Dengue, Zika Virus, Chikunguya, Yellow Fever, American Tegumentary Leishmaniasis, H1N1 and H3N2. Data were obtained from the TABNET databases of the Bahia State Health Department (SESAB/BA) and the Health Ministry's Information System for Diseases and Notification (SINAN) from 2009 to 2019. The environmental data include the analysis of the land use and forestry (Map Biomas Project), analysis of climatological data on precipitation and temperature (WorldClim), foci (Fires Program of the National Institute for Space Research -INPE). Data were analyzed using statistics with generalized linear mixed models, multiple partial regression and redundancy analysis to assess the environmental and health relationship. The data presented showed a positive relationship between fire and burning outbreaks with the increase in the incidence of Dengue, Zika virus and Chikunguya, despite the low cor relation with Yellow Fever, American Tegumentary Leishmaniasis, H1N1 and H3N2 for the municipalities in the study, it was a positive relationship was also found with the IDHM and cases of Dengue and a negative relationship with H1N1 and H3N2, there was no statistically significant relationship with the Gini index and the diseases in this study.