Automatic mapping of high-risk urban areas for Aedes aegypti infestation based on building facade image analysis.

Background: Dengue, Zika, and chikungunya, whose viruses are transmitted mainly by Aedes aegypti, significantly impact human health worldwide. Despite the recent development of promising vaccines against the dengue virus, controlling these arbovirus diseases still depends on mosquito surveillance and control. Nonetheless, several studies have shown that these measures are not sufficiently effective or ineffective.

Covid-19 hospital mortality using spatial hierarchical models: cohort design with 74,994 registers.

Objective: To investigate the relationship between covid-19 hospital mortality and risk factors, innovating by considering contextual and individual factors and spatial dependency and using data from the city of São Paulo, Brazil.

Methods: The study was performed with a spatial hierarchical retrospective cohort design using secondary data (individuals and contextual data) from hospitalized patients and their geographic unit residences. The study period corresponded to the first year of the pandemic, from February 25, 2020 to February 24, 2021.

Intra-urban spatial variability of breast and cervical cancer mortality in the city of São Paulo: analysis of associated factors.

Objective: To identify spatial variability of mortality from breast and cervical cancer and to assess factors associated in the city of São Paulo.

Methods: Between 2009 and 2016, 10,124 deaths from breast cancer and 2,116 deaths from cervical cancer were recorded in the Mortality Information System among women aged 20 years and over. The records were geocoded by address of residence and grouped according to Primary Health Care coverage areas.

Clusters of high-risk, low-risk, and temporal trends of breast and cervical cancer-related mortality in São Paulo, Brazil, during 2000-2016.

Purpose: Studying breast and cervical cancers in space and time and verifying divergences of different territorially established socioeconomic profiles.

Methods: Ecological study using spatial scanning (with socioeconomic characterization), space-time, and spatial variation of temporal trends, in order to identify significant clusters of high- and low-risk or temporal trends, of deaths from breast cancer and cervical cancer, in the city of São Paulo, Brazil, during 2000-2016.

Results: High-risk spatial clusters were identified in the central areas, and low-risk clusters were identified in the peripheral areas, which were associated with better and worse socioeconomic conditions, respectively.

Pink October and mammograms: when health communication misses the target.

Breast cancer is the most frequently diagnosed type of cancer and is the leading cause of death from cancer in the female population. Screening mammograms and early treatment are the most frequently used means to attempt to reduce this mortality and are promoted during Pink October, an annual awareness-raising campaign. However, recent studies have correlated the increase in screening with higher morbidity and mortality, due to overdiagnosis and overtreatment.