ABSTRACT
The dramatic increase in the number of COVID-19 cases has been a threat to global health and a challenge for health systems. Estimating the prevalence of infection in the population is essential to provide support for action planning. Within this scenario, the aim of the present study was to analyze the seroprevalence and associated factors of COVID-19 Jundiaí, São Paulo, Brazil. This cross-sectional study was conducted from June 1st to June 19th, 2020. The participants were patients with respiratory symptoms who sought Primary Care Units (UBS) (n = 1,181) and subjects recruited from randomly selected households by probability sampling (n = 3,065), as screening strategy. All participants, in both phases, were submitted to SARS-CoV-2 rapid antigen tests (IgG and IgM) and responded to a questionnaire including sociodemographic characteristics based on Behavioural Insights for COVID-19. Total seroprevalence (positive/negative) was the outcome and the independent variables were sociodemographic variables, health behavior and signs/symptoms. The chi-squared test was used for association analysis (p<0.05) and variables with p<0.20 were entered into the logistic regression model (p<0.05). A total of 1,181 subjects from the UBS and 3,065 from the selected households participated in the study. The seroprevalence was 30.8% in the UBS and 3.1% in the households. The adjusted logistic regression identified that lower educational level (OR 2.68;95%CI 1.59–4.54), household member testing positive (OR 1.67;95%CI 1.16–2.39), presence of anosmia (OR 3.68, 95%CI 2.56–5.28) and seeking UBS (OR 3.76;95%CI 2.08–6.82) was risk factors to test positive for SARS-CoV-2. Estimating the seroprevalence in the population was important to know the disease extension that was higher than the notified cases. These results showed socioeconomic aspects associated with COVID-19 even adjusted by symptoms. Populational epidemiologic studies that investigate the associated factors of COVID-19 are relevant to plan strategies to control the pandemic.
ABSTRACT
The dramatic increase in the number of COVID-19 cases has been a threat to global health and a challenge for health systems. Estimating the prevalence of infection in the population is essential to provide support for action planning. Within this scenario, the aim of the present study was to analyze the seroprevalence and associated factors of COVID-19 Jundiaí, São Paulo, Brazil. This cross-sectional study was conducted from June 1st to June 19th, 2020. The participants were patients with respiratory symptoms who sought Primary Care Units (UBS) (n = 1,181) and subjects recruited from randomly selected households by probability sampling (n = 3,065), as screening strategy. All participants, in both phases, were submitted to SARS-CoV-2 rapid antigen tests (IgG and IgM) and responded to a questionnaire including sociodemographic characteristics based on Behavioural Insights for COVID-19. Total seroprevalence (positive/negative) was the outcome and the independent variables were sociodemographic variables, health behavior and signs/symptoms. The chi-squared test was used for association analysis (p<0.05) and variables with p<0.20 were entered into the logistic regression model (p<0.05). A total of 1,181 subjects from the UBS and 3,065 from the selected households participated in the study. The seroprevalence was 30.8% in the UBS and 3.1% in the households. The adjusted logistic regression identified that lower educational level (OR 2.68; 95%CI 1.59-4.54), household member testing positive (OR 1.67; 95%CI 1.16-2.39), presence of anosmia (OR 3.68, 95%CI 2.56-5.28) and seeking UBS (OR 3.76; 95%CI 2.08-6.82) was risk factors to test positive for SARS-CoV-2. Estimating the seroprevalence in the population was important to know the disease extension that was higher than the notified cases. These results showed socioeconomic aspects associated with COVID-19 even adjusted by symptoms. Populational epidemiologic studies that investigate the associated factors of COVID-19 are relevant to plan strategies to control the pandemic.
ABSTRACT
Objectives. To investigate associations between COVID-19-related factors and depressive symptoms among primary care workers (PCWs) in São Paulo, Brazil, and to compare the prevalence of probable depression among PCWs before and during the pandemic. Methods. In a random sample of primary care clinics, we examined 6 pandemic-related factors among 828 PCWs. We used multivariate Poisson regression with robust variance to estimate prevalence ratios for probable depression. We assessed the prevalence of probable depression in PCWs before and during the pandemic in 2 comparable studies. Results. Adjusted prevalence ratios were substantial for insufficient personal protective equipment; experiences of discrimination, violence, or harassment; and lack of family support. Comparisons between PCWs before and during the pandemic showed that the prevalence of probable depression among physicians, nurses, and nursing assistants was higher during the pandemic and that the prevalence among community health workers was higher before the pandemic. Conclusions. Our findings indicate domains that may be crucial to mitigating depression among PCWs but that, with the exception of personal protective equipment, have not previously been examined in this population. It is crucial that governments and communities address discriminatory behaviors against PCWs, promote their well-being at work, and foster family support. (Am J Public Health. 2022;112(5):786-794. https://doi.org/10.2105/AJPH.2022.306723).