Latent Archetypes of the Spatial Patterns of Cancer.

The cancer atlas edited by several countries is the main resource for the analysis of the geographic variation of cancer risk. Correlating the observed spatial patterns with known or hypothesized risk factors is time-consuming work for epidemiologists who need to deal with each cancer separately, breaking down the patterns according to sex and race. The recent literature has proposed to study more than one cancer simultaneously looking for common spatial risk factors.

Health litigation and cancer survival in patients treated in the public health system in a large Brazilian city, 2014-2019.

Background: Litigation for health care, also known as health judicialization, is frequent in Brazil. It involves recourse to the court system to access health services. The study aimed to evaluate whether cancer patients in Belo Horizonte, Minas Gerais, Brazil, increased their overall survival by increasing access to certain drugs or treatments through litigation, controlling for the effect of demographic and disease-related variables.

Influence of socioeconomic inequality on the distribution of COVID-19 hospitalizations and deaths in Brazilian municipalities, 2020: an ecological study.

Objective: to analyze the influence of socioeconomic inequality on COVID-19 distribution in larger Brazilian municipalities, controlling for effect of hospital infrastructure, comorbidities and other variables.

Methods: this was an ecological study of COVID-19 hospitalizations and deaths in 2020; outcome data were obtained from the Ministry of Health; incidence ratios were estimated using a generalized linear model.

Results: we identified 291,073 hospitalizations and 139,953 deaths; we found higher mortality rates in municipalities with a higher proportion of non-White people (95%CI 1.

Risk factors for hospitalization and death due to COVID-19 among frail community-dwelling elderly people: a retrospective cohort study.

Background: Advanced age, multiple chronic diseases and frailty have been correlated with worse prognosis among coronavirus disease 2019 (COVID-19) inpatients.

Objective: To investigate potential risk factors for hospitalization and death due to COVID-19 among frail community-dwelling elderly people.

Design And Setting: Retrospective cohort study of patients followed up at a geriatric outpatient clinic in Belo Horizonte, Minas Gerais, Brazil.

Social isolation relaxation and the effective reproduction number (Rt) of COVID-19 in twelve Brazilian cities.

We analyzed the social isolation relaxation strategies adopted by the twelve biggest Brazilian cities in 2020, in relation to the number of cases, number of deaths and the effective reproduction number (Rt), which are internationally considered the fundamental epidemiological criteria for allowing wider population mobility in public spaces. The Brazilian central government has not set unique guidelines neither for closure nor for opening, and states and cities have taken the lead in strategy definition. Until July 31 2020, in Belém do Pará, Fortaleza, Manaus, Recife and Rio de Janeiro, where the epidemic peak had already been surpassed, and in Salvador and São Paulo, in which the peak seemed to be already reached, the Rt curve followed a decreasing path after the openings.

[Spatial-temporal distribution of potential blood donors at the Hemominas Foundation, Belo Horizonte, Minas Gerais State, Brazil, in 1994 and 2004].

The main goal of this study was to describe the spatial and temporal distribution of candidates for blood donation in Belo Horizonte, Minas Gerais State, Brazil, who appeared at the Hemominas Foundation in 1994 and 2004. The study also compared the candidates for age, gender, and clinical approval for blood donation in space and space-time. Data were obtained from a cross-sectional study for 1994 and were randomly selected from all donor candidates for 2004.

Factors associated with readmission to a general hospital in Brazil.

The objective of this study was to compare different modeling strategies to identify individual and admissions characteristics associated with readmission to a general hospital. Routine data recorded in the Hospital Information System on all admissions to the Regional Public Hospital of Betim, Minas Gerais State, Brazil, from July 1996 to June 2000 were analyzed. Cox proportional hazards model and variants designed to deal with multiple-events data, like Andersen-Gill (AG), Prentice, Williams and Peterson (PWP), and random effects models were fitted to time between hospital admissions or censoring.