The aim of this study was to analyze the COVID-19 pandemic in the context of unjust and avoidable inequalities (called iniquities) in Brazil. A bibliographic search of texts relating to basic sanitation, socioeconomic development and transmission of COVID-19 itself was carried out. The focus was on discussion of the pandemic and on making connections with Brazil's structural problems and comparisons with other countries, especially those of low to medium developmental level (i.e. similar to Brazil). COVID-19 The coronavirus family of viruses causes respiratory infections. A new type of virus from this family was discovered on December 31, 2019, subsequent to the first recorded cases in China, and was named SARS-CoV-2. The disease caused by the new virus, COVID-19, gives rise to clinical

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The midwest region of Brazil has witnessed an increase in the number of cases of human (HVL) and canine visceral leishmaniasis (CVL). The aim of the present study was to evaluate the population’s perception of these diseases, factors associated with CVL, its spatial distribution, and the prevalence of anti-Leishmania spp. in 385 dogs, determined using a commercially available immunochromatographic rapid test and confirmed using enzyme-linked immunosorbent assay (ELISA). Of the 385 samples, 54 were positive for CVL and confirmed by ELISA, corresponding to a prevalence of 14%. Knowledge of signs of CVL by tutors (p = 0.038); previous occurrence of CVL in the vicinity (p = 0.022); symptomatic dog(s) (p = 0.014), splenomegaly (p = 0.055), and ear ulcer(s) (p = 0.059) were significantly associated with CVL. The results revealed a significant prevalence of CVL spatially distributed in rural and urban contexts. The association between environmentally related variables and perception and the occurrence of CVL underscores the importance of implementing control and prevention strategies primarily focused on environmental management and health education activities.

Objective: To describe the methodological and operational aspects of the “Project for surveillance of cancer and its associated factors: population-based and hospital-based registry” (VIGICAN), in the state of Mato Grosso (MT), Brazil. Methods: VIGICAN was divided into two projects: a university extension one, which updated the data from the Population-based Cancer Registry (PBCR) of MT in the 2008-2016 period; and a research project, which collected primary data, through individual interviews and analysis of medical records of people with a diagnosis of cancer, aged 18 years or older, treated at reference hospitals for oncology. To analyze the factors associated with cancer, the following variables were collected: socioeconomic and demographic, social support, health status and behavior, and environmental exposure. Results: In the 2008-2016 period, approximately one hundred thousand cases of cancer (incident and prevalent) were reported in the PBCR Cuiabá and PBCR Interior. After validation procedures, 50 thousand incident cases were elected. The survey interviewed 1,012 patients, 38.2% living in the municipalities of Cuiabá and Várzea Grande, 60.4% in small cities of the state, and 1.4% in other states. Preliminary data showed that the majority were women (55.0%) and younger than 60 years of age (54.3%). Among the interviewees, 7.2% reported smoking tobacco, 15.5% consumed alcoholic beverages (15.5%), and 32.7% lived nearby crops. Conclusion: The development of these projects allowed the integration of education with health services and will enable the recognition of specificities and different exposure scenarios and factors associated with cancer in the Mato Grosso territory.

Objective: to analyze the space-time distribution of COVID-19 in the state of Mato Grosso, Brazil. Methods: Weekly case records of Severe Acute Respiratory Syndrome were obtained from the Ministry of Health’s Database related to this syndrome, including data from COVID-19. Temporal and spatiotemporal analysis using scanning statistics to identify clusters of severe acute respiratory syndrome cases were performed with the software SaTScan. Results: A total of 27,093 cases was observed, with an incidence of 768.33/100,000 inhabitants. The spatial distribution considering the period of study evidenced the heterogeneity of values in the state. The highest incidence rates were observed in more populous municipalities. Conclusion: We highlight priority areas for interventions, aiming at controlling the transmission of the disease and reducing transmission risks to more remote areas of the state of Mato Grosso.