Spatiotemporal distribution of people hospitalized with cancer and Covid-19 in Rio de Janeiro, Brazil

Two years of pandemic

Dados Bibliográficos

ID19475263
AutoresLucian da Silva Viana (0000-0002-4718-1748, Fundação Oswaldo Cruz), Gustavo Menezes Silva Damasceno (0000-0003-4712-7124, Fundação Oswaldo Cruz), Gina Torres Rego Monteiro (0000-0002-9900-1825, Fundação Oswaldo Cruz), Andréa Sobral (0000-0003-0552-771X, Fundação Oswaldo Cruz)
Ano2026
Volume31
Fascículo3
Data de publicação2026-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoCiência & Saúde Coletiva (JOURNAL)
Identificadores do periódicoISSN: 1413-8123 • E-ISSN: 1678-4561
EditoraFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1413-81232026313.05952024en
OpenAlexW7154706762
IdiomaEN
Referências citadas14

The aim is to analyze the spatiotemporal distribution of people with cancer and COVID-19 hospitalized in the city of Rio de Janeiro - RJ. This is an ecological research, focused on the analysis of spatial distribution and exploratory analysis of time of hospitalization, Intensive Care Unit (ICU) and death. In the spatial analysis, the Moran global and local index was calculated using the QGIS software (v.3.22.16) and GeoDa (v.1.22.0.4). In the time analysis, the Mann-Whitney and Kruskal-Wallis tests were used, using the SPSS Statistics software. The city of Rio de Janeiro had the highest number of cases per 100,000 inhabitants (12.56), with positive spatial autocorrelation between the number of hospitalized patients and their municipalities of origin (global Moran index was 0.583). The presence of comorbidities (p-value

Cancer · Coronavirus disease 2019 (COVID-19) · Distribution (mathematics) · Ecological study · Pandemic · Referral · Spatial analysis · Spatial distribution · COVID-19 and healthcare impacts · COVID-19 epidemiological studies · Maternal and Neonatal Healthcare