Household crowding hampers mitigating the transmission of SARS-CoV-2

Abstract

Introduction: Household crowding deserves attention when evaluating the transmission intensity of SARS-CoV-2 in Brazil. We aimed to evaluate the association between household crowding and COVID-19 incidence. Methods: Linear and Poisson regression analyses were used to assess the associations between indices of household crowding (high, average, low) and COVID-19 incidence estimates. Results: Cities with a high index of household crowding were linked with a significantly higher COVID-19 incidence estimate (excess of 461 per 100,000; 95% confidence interval: 371-558 per 100,000). Conclusions: Crowding typically promotes virus transmission. Considering urban and housing structures is essential in designing mitigation strategies during a pandemic.

Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey

“…Similarly to other infectious diseases (i.e., dengue and tuberculosis), SARS-CoV-2 spread is significantly higher in densely populated areas and overcrowded houses. 43 , 44 , 45 Third, we found that family income ≥ three minimum wages was associated with greater odds of having anti-S IgG antibodies while receiving Auxilio Financeiro Emergencial was associated with lower odds. These results corroborate the hypothesis that economically active adults (“young adults with jobs”) did not stop (or were unable to stop) working during the COVID-19 pandemic and were, therefore, the most at-risk group in our study population.…”

Testing strategies to contain COVID-19 in migrant worker dormitories

“…Similar observations have been made elsewhere. For COVID-19, cities in Brazil with high indices of household overcrowding have been associated with significantly higher incidence at an excess of 461 per 100,000, and the number of households with greater than 3 residents per room was observed to significantly increase risk ( Villela, 2021 ). In China and Italy, the degree to which cases were compressed in terms of the peakedness of the localized epidemic was strongly shaped by population aggregation and heterogeneity down to 1km ( Chen et al, 2016 ) small spatial scales ( Rader et al, 2020 ) .…”

Integrative Effects between a Bubble and Seal Program and Workers’ Compliance to Health Advice on Successful COVID-19 Transmission Control in a Factory in Southern Thailand

“…The higher infection rate in LIW (3.2%) than in LOW (2.3%) supported this consideration. A previous study showed that >3 workers/dormitory room would increase the risk of SARS-CoV2 transmission [ 13 ]. However, we found no explainable pattern of COVID-19 transmission in the worker dormitories as no infection originating center or time course of the appearance of the positive PCIS workers could be demonstrated.…”