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Urban COVID-19 endemism in Petrópolis: detection of an endemic focus by spatial analysis.

Authors: Rosenberg, Felix J.; Genial, Caiett; dos Santos, Bruno Cesar;

Urban COVID-19 endemism in Petrópolis: detection of an endemic focus by spatial analysis.

Abstract

Motivation for the study. During the COVID-19 pandemic, spatial analysis methodologies were used to identify the territorial determinants of its distribution and social inequalities in access to medical care. Main findings. We found a concentration of cases in a specific location of the municipality, which remained constant throughout the study period, with sporadic outbreaks in other areas. Implications. It is necessary to pay attention to possible endemic foci of viral diseases in urban settings and to take measures to eliminate them as well as to prevent their spread within and outside the area.

Keywords

Spatial Analysis, Socioeconomic Factors, Virus Diseases, Brief Report, Humans, COVID-19, Pandemics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold