Fig 1.
Geographical location of the shelter and distribution of homeless population as described in the latest São Paulo city survey [12].
All maps are public domain (https://www.ibge.gov.br/geociencias/downloads-geociencias.html).
Fig 2.
Optical density at 450 nm obtained for the ELISA assay used to detected anti-SARS-CoV-2 IgG in persons who are homeless (n = 203) and shelter workers (n = 87) attending the Community Center of São Martinho de Lima, Mooca subregion, São Paulo, Brazil.
ELISA assay was performed as described in materials and methods. **p ≤ 0.05 (Positive IgG–individuals who are homeless versus shelter workers: p = 0.025), n.s.: not significant (Negative IgG–individuals who are homeless versus shelter workers: p = 0.901). Statistical analysis was performed using the Mann-Whitney test.
Fig 3.
Number of SARS-CoV-2 new cases (upper graph, blue) and deaths (upper and bottom graphs, red) officially reported in São Paulo city, Brazil, from March 28th (first case of SARS-CoV-2 detected in Brazil) to November 19th, 2020, with a 7-day moving average. Days of sample collection are shown as grey bars (August 25th to 27th, 2020).
Table 1.
Descriptive statistics and results of bivariate analysis of associated risk factors for seropositivity of anti-SARS-CoV-2 IgG in 203 persons who are homeless of São Paulo, Brazil.
Table 2.
Descriptive statistics and results of bivariate analysis of risk factors associated with seropositivity of anti-SARS-CoV-2 IgG in 87 shelter workers of São Paulo, Brazil.
Table 3.
Final logistic model for analyzing risk factors associated with seropositivity of anti-SARS-CoV-2 IgG in 203 persons experiencing homelessness of São Paulo, Brazil.
Table 4.
Final logistic model for the analysis of risk or protective factors associated with seropositivity of anti-SARS-CoV-2 IgG in 87 shelter workers of São Paulo, Brazil.