Abstract This study aimed to describe the effects of social distancing due to the COVID-19 pandemic on physical and mental health, chronic disease management, and economic situation in adults from a southern Brazilian state. Data from the baseline of the PAMPA (Prospective Study About Mental and Physical Health) cohort, a population-based, longitudinal study is presented. An online-based questionnaire was used to assess the variables pre- and during social distancing. Most of the respondents (N=2,321) were women (76.7%), white (90.6%), had at least university degree (66.7%), and were overweight or obese (53.3%). Nearly 40% were not able to work from home and 45.3% had monthly income reduced during social distancing. Moderate-to-severe symptoms of depression and anxiety increased 7.3x and 8.4x from before to during social distancing. Three quarters reported low back pain (74.2%; 95%CI: 71.9%, 76.3%) during the same period while the prevalence of physical inactivity increased 31.2%. Managing chronic conditions was harder during social distancing for 28.5% of the participants. Roughly 40% reported that did not seek medical assistance even when necessary during this period. COVID-19 pandemic has disrupted the health of adults from a southern Brazilian state in several aspects.

Abstract The COVID-19 pandemic had an impact in several areas, and in scientific research was not different. Researchers are working from their homes since research facilities and universities were closed, and face-to-face interaction where limited to stop the virus spread. This brought a lot of changes in observational studies, especially in epidemiology research. Since most studies are being conducted through internet-based assessments, researchers are facing different challenges regarding data collection and participants recruitment, for example. In this paper, we share some of the challenges faced in a population-based study conducted in Southern Brazil, as well as possible alternatives to help researchers to overcome these issues.

O Brasil possui diversidade edafoclimática e realidades socioeconômicas e políticas distintas. Isto contribui para diferenciar as regiões político administrativas do país. Objetivou-se espacializar os fatores físicos, climáticos e socioeconômicos que melhor discriminam a produção de caprinos leiteiros no Brasil. Foram analisados índice de produção de leite por cabra; índice de produção de caprinos; índice de produção de leite, amplitude da temperatura; temperatura média; precipitação; índice normalizado de diferença vegetativa; umidade relativa do ar; altitude; estabelecimentos agropecuários; estabelecimentos com pastagem nativa; estabelecimentos com pastagens de boa qualidade; estabelecimentos com recursos hídricos; estabelecimentos que recebem orientação técnica; estabelecimentos de agricultura familiar; estabelecimentos de agricultura não familiar e índice de desenvolvimento humano. Foram realizadas análises multivariadas para espacializar as variáveis climáticas, físicas e socioeconômicas e, assim, discriminar os Estados e Regiões brasileiras. As maiores produções de caprinos e de leite foram observadas na região Nordeste. A região Sudeste apresentou segunda maior produção de leite, seguido pelo Sul, Centro-Oeste e Norte. As médias para produtividade mostraram que as regiões Centro-Oeste e Sudeste apresentaram animais mais especializados a produção de leite. As análises multivariadas evidenciaram distinções entre clusters das regiões político-administrativas do Brasil. As variáveis climáticas foram as mais importantes para discriminar entre as regiões brasileiras. A heterogeneidade dos componentes climáticos, físicos e socioeconômicos evidenciou peculiaridades em cada região. Portanto, é preciso implementar programas de melhoramento genético animal que atendam as necessidades de cada região.

Brazil has high climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, what results in differences among the political administrative regions of the country. The objective of this study was to determine spatial distribution of the physical, climatic and socioeconomic aspects that best characterize the production of dairy goats in Brazil. Production indices of milk per goat, goat production, milk production, as well as temperature range, mean temperature, precipitation, normalized difference vegetation index, relative humidity, altitude, agricultural farms; farms with native pasture, farms with good quality pasture, farms with water resources, farms that receive technical guidance, family farming properties, non-familiar farms and the human development index were evaluated. The multivariate analyses were carried out to spatialize climatic, physical and socioeconomic variables and so differenciate the Brazilian States and Regions. The highest yields of milk and goat production were observed in the Northeast. The Southeast Region had the second highest production of milk, followed by the South, Midwest and North. Multivariate analysis revealed distinctions between clusters of political-administrative regions of Brazil. The climatic variables were most important to discriminate between regions of Brazil. Therefore, it is necessary to implement animal breeding programs to meet the needs of each region.