2020
DOI: 10.1186/s12889-020-09558-9
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Propensity for COVID-19 severe epidemic among the populations of the neighborhoods of Fortaleza, Brazil, in 2020

Abstract: Background The state of Ceará (Northeast Brazil) has shown a high incidence of coronavirus disease (COVID-19), and most of the cases that were diagnosed during the epidemic originated from the capital Fortaleza. Monitoring the dynamics of the COVID-19 epidemic is of strategic importance and requires the use of sensitive tools for epidemiological surveillance, including consistent analyses that allow the recognition of areas with a greater propensity for increased severity throughout the cycle of the epidemic. … Show more

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Cited by 13 publications
(16 citation statements)
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“…It is becoming increasingly clear that COVID-19 morbidity and mortality are profoundly and unevenly shaped by social inequalities, and that the interplay of several social determinants of health, including low socioeconomic status, physical environment, and ethnicity, can have a serious impact on COVID-19 prevalence and outcomes ( Patel et al, 2020 ). There is evidence that large disparities in COVID-19 prevalence exist among city neighborhoods, and several studies conducted in different urban settings have shown the spatial correlation between COVID-19 and a variety of demographic factors, and the tendency of low-income communities and ethnic minorities to be disproportionately affected ( Almagro and Orane-Hutchinson, 2020 ; Borjas, 2020 ; Braga et al, 2020 ; Schmitt-Grohé et al, 2020 ; Whittle and Diaz-Artiles, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…It is becoming increasingly clear that COVID-19 morbidity and mortality are profoundly and unevenly shaped by social inequalities, and that the interplay of several social determinants of health, including low socioeconomic status, physical environment, and ethnicity, can have a serious impact on COVID-19 prevalence and outcomes ( Patel et al, 2020 ). There is evidence that large disparities in COVID-19 prevalence exist among city neighborhoods, and several studies conducted in different urban settings have shown the spatial correlation between COVID-19 and a variety of demographic factors, and the tendency of low-income communities and ethnic minorities to be disproportionately affected ( Almagro and Orane-Hutchinson, 2020 ; Borjas, 2020 ; Braga et al, 2020 ; Schmitt-Grohé et al, 2020 ; Whittle and Diaz-Artiles, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…State orders for cessation of non-essential work were only associated with small increases in staying home in low-income neighborhoods. COVID-19 infection rates were also found to be higher in neighborhoods that were densely populated, and predominantly Black [ 6 , 20 , 21 ]. Based on his New York City analysis, Whittle et al suggested that an increase of 10,000 people per km 2 was associated with a 2.4% (95% CI 0.6 to 4.2%, P = 0.011) increase in COVID-19 positivity rate [ 6 ].…”
Section: Structured Discussion/commentmentioning
confidence: 99%
“…The exponential rise in COVID-19 cases also led to the need for epidemiological surveillance and consistent analysis ( Burki, 2020 ). A bibliometric study was also performed to evaluate the current trend in research on COVID-19 conducted in Latin America, and Aldeota, Cais do Porto, Centro, Edson Queiroz, and Cambeba were found to be the neighborhoods with the highest propensity for COVID-19 ( Braga et al, 2020 ).…”
Section: Epidemiologymentioning
confidence: 99%