Severe Acute Respiratory Syndrome and Covid-19 Under the Urban Hierarchy of Municipalities in the State of Rondônia (Western Amazon)

Bibliographic Data

ID3074974
AuthorsMário Alves (0000-0003-3665-6821, Universidade do Estado do Rio de Janeiro, corresponding author), Reinaldo Souza-Santos (0000-0003-2387-6999, Fundação Oswaldo Cruz), Ana Lúcia Escobar (0000-0003-4386-0863, Universidade Federal de Rondônia), Marina Atanaka (0000-0003-3543-3837, Universidade Federal de Mato Grosso)
Year2024
Volume15
Issue2
Pagese98724
Publication date2024-08-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueMundo Amazónico (JOURNAL)
Journal identifiersISSN: 2145-5074 • E-ISSN: 2145-5082
PublisherUniversidad Nacional de Colombia (PUBLISHER • CO)
DOI10.15446/ma.v15n2.98724
OpenAlexW4403185318
LanguageEN
Citations received1
References cited18

Analyzing the SARS data can provide insights into the severe form of COVID-19, contributing to short, medium, and long-term pandemic response planning. The virus entered Brazilian through air travel, spreading via airport connections. The spatial diffusion of COVID-19 transmission is linked to the territorial division of labor (referring to characteristic daily activities), as reflected in the urban hierarchical network, which serves as a framework for analyzing COVID-19 transmission. This analysis covers mobility aspects such as density, connectivity and the movement of people at different scales. The objective is to evaluate the transmission of SARS and COVID-19 in the state of Rondônia, Western Amazon, between 2020 and 2021, using geoprocessing techniques for spatiotemporal analysis. Maps depicting the urban hierarchy (understood as cities organized by size, from smallest to largest) of the municipalities of Rondônia, along with SARS incidence rates and their standard deviation, were created using QGIS program, version 2.18.20. Spatiotemporal analysis was conducted using Kulldorff statistics to identify clusters of SARS cases in each municipality. A higher concentration of SARS rates was observed in municipalities in the northwestern part of the state. Six spatiotemporal clusters were identified, but no clear pattern of spatial distribution was observed. The spatial diffusion of COVID-19 transmission is linked to the territorial division of labor (i.e., the spatial classification based on the predominant economic activity in each area), as evidenced by the urban hierarchical network, which serves as a reference for analyzing COVID-19 transmission

2019-20 coronavirus outbreak · Amazon rainforest · Biology · Disease · Geography · Hierarchy · Political science · Respiratory system · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Education during COVID-19 pandemic · Medicine · Internal Medicine · Virology

Tools

Open DOIOpen Access