Spatial distribution of COVID-19 in Brazil and association between basic sanitation infrastructure using the Geographic Information System
- Funded by Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)
- Total publications:0 publications
Grant number: 1045512
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Key facts
Disease
COVID-19start year
-99Known Financial Commitments (USD)
$66,048.69Funder
Decanato de Pesquisa e Inovação - Universidade de Brasilia (DPI)Principal Investigator
Rita de Cássia CoelhoResearch Location
BrazilLead Research Institution
N/AResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease transmission dynamics
Special Interest Tags
N/A
Study Type
Unspecified
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Introduction - The advance of infectious diseases, such as COVID-19, in Brazil is quite worrying, considering that it is a country with continental dimensions and is the most populous in South America. In association, there is a representative number of families in situations of poverty and without access to basic sanitation, factors that are strongly associated in the literature with reduced immunity and increased risk of infection by viruses or bacteria. In association, there is a representative number associated in the literature with reduced immunity and increased risk of contagion by viruses or bacteria. Objective - In this sense, the objective of this research is to identify the spatial distribution of COVID-19 and its relationship with the sanitary aspects of the incidence sites in Brazil, in order to obtain an effective instrument for planning preventive actions and surveillance control at the national level. Method - For the execution, the cartographic base of the federative units of Brazil will be used obtained through databases of the Brazilian Institute of Geography and Statistics (IBGE), the database of the National System of Diseases and Notification (SINAN ) of confirmed and notified cases of COVID-19 from January 2020 to January 2022, and the database of the National Sanitation Information System (SNIS). Descriptive analyzes will be performed using the Statistical Package for the Social Sciences- - SPSS 24.0 (version 24, SPSS Inc., Chicago, IL, USA). The level of significance adopted in the survey will be 5% (p <0.05). Results - It is expected that the results indicate the availability and coverage that determine the quality of the information and are fundamental for the entire Epidemiological Surveillance System (EVS) to present a good performance. The performance of studies that assess the quality of information systems is important for managers to become aware of the epidemiological situation.