AI Article Synopsis
- This study compares different spatial statistical models to estimate the distribution of Zika and Chikungunya infections in Recife, Brazil, focusing on geographical relationships.
- The researchers tested various combinations of spatial units, dependent variable formats, and estimation methods (GWR and OLS) to identify the most accurate model for the disease spread.
- The findings revealed that using a 100-meter spatial unit and kernel density estimation with the GWR method provided the best results, indicating significant connections between geographical conditions and the diseases' incidence.
Article Abstract
Introduction: In this study, we aim to compare spatial statistic models to estimate the spatial distribution of Zika and Chikungunya infections in the city of Recife, Brazil. We also aim to establish the relationship between the diseases and the analyzed geographical conditions.
Methods: The models were defined by combining three categories: type of spatial unit, calculation of the dependent variable format, and estimation methods (Geographical Weighted Regression [GWR] and Ordinary Least Square [OLS]). We identified the most accurate model to estimate the spatial distribution of the diseases. After selecting the model that provided best results, the relationship between the geographical conditions and the incidence of the diseases was analyzed.
Results: It was observed that the matrix of 100 meters (as the spatial unit) showed the highest efficiency to estimate the diseases. The best results were observed in the models that utilized the kernel density estimation (as the calculation of the dependent variable). In all models, the GWR method showed the best results. By considering the OLS coefficient values, it was observed that all geographical conditions are related to the incidence of Zika and Chikungunya, while the GWR coefficient values showed where this relationship was more noticeable.
Conclusions: The model that utilized the combination of the matrix of 100 meters, kernel density estimation (as the calculation of the dependent variable) and GWR method showed the highest efficiency in estimating the spatial distribution of the diseases. The coefficient values showed that all analyzed geographical conditions are related to the illnesses' incidence.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523520 | PMC |
| http://dx.doi.org/10.1590/0037-8682-0027-2020 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Historical redlining and clustering of present-day breast cancer factors.
Cancer Causes Control
January 2025
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, 265 Farber Hall, Buffalo, NY, 14214, USA.
Purpose: Historical redlining, a 1930s-era form of residential segregation and proxy of structural racism, has been associated with breast cancer risk, stage, and survival, but research is lacking on how known present-day breast cancer risk factors are related to historical redlining. We aimed to describe the clustering of present-day neighborhood-level breast cancer risk factors with historical redlining and evaluate geographic patterning across the US.
Methods: This ecologic study included US neighborhoods (census tracts) with Home Owners' Loan Corporation (HOLC) grades, defined as having a score in the Historic Redlining Score dataset; 2019 Population Level Analysis and Community EStimates (PLACES) data; and 2014-2016 Environmental Justice Index (EJI) data.
Preliminary study of gunshot residues in entry holes at different angles: Feasibility of using LIBS to support trajectory estimation.
Forensic Sci Int
December 2024
Ballistics Section of the Spanish Scientific Police Headquarters (National Police), Julián González Segador s/n, Madrid, Spain; Instituto Universitario de Investigación en Ciencias Policiales (IUICP), Universidad de Alcalá, Alcalá de Henares, Madrid, Spain.
Firearm-related scenarios can be highly complex, involving multiple shooters, firearms, types of ammunition, victims, and various impact zones. Obtaining the maximum amount of information to connect each piece of the puzzle is crucial for resolving these cases. Currently, new tools are being developed in the forensic field that facilitate both fieldwork and laboratory analysis, enabling the estimation of trajectories, identification of shooters, and more.
View Article and Find Full Text PDFLinking new national active biomonitoring data with stream macroinvertebrate communities suggests large-scale effects of toxic contamination on freshwater ecosystems.
Sci Total Environ
January 2025
INRAE, UR RiverLy, Villeurbanne F-69625, France.
Since recent years, an increasingly large number of toxic chemicals enters watercourses threatening freshwater biodiversity. But ecological studies still poorly document the quantitative patterns linking exposure to complex mixture of toxic chemicals and species communities' integrity in the field. In this context, French monitoring authorities have recently deployed at a national scale in situ biotests using the feeding inhibition of the crustacean Gammarus as toxicity indicator.
View Article and Find Full Text PDFTrue prevalence and spatial distribution of antibodies to Brucella spp. in goat populations in Hubei Province, People's Republic of China: Progress toward disease elimination.
Prev Vet Med
December 2024
National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China; College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China; Hubei International Scientific and Technological Cooperation Base of Veterinary Epidemiology, Huazhong Agricultural University, Wuhan, China; School of Veterinary Medicine, Murdoch University, Perth, WA, Australia. Electronic address:
Caprine brucellosis, mainly caused by Brucella melitensis, remains a significant zoonotic threat worldwide, affecting animal productivity, welfare, and public health. This study aimed to estimate the true prevalence (TP) and spatial distribution of antibodies to Brucella spp. among goat populations in Hubei Province, China.
View Article and Find Full Text PDFEvaluation of Bayesian Maximum Entropy Data Fusion Approaches to Estimate Styrene, Benzene, Toluene, Ethylbenzene, and Xylenes and to Inform Epidemiological Analyses in the US Gulf States.
Environ Sci Technol
January 2025
Department of Environmental Sciences & Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, United States.
The Gulf States are home to industries emitting styrene, benzene, toluene, ethylbenzene, and xylenes (SBTEX). Presently, adverse health effects of ambient SBTEX exposure in highly polluted regions, such as the Gulf States, must be evaluated. Epidemiologists, however, are limited by inadequate estimates of ambient SBTEX.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!