Este estudo, descreve e compara duas classes de modelos - os Modelos Lineares Generalizados (MLG) e os Modelos Aditivos Generalizados (MAG) - que podem ser utilizadas para avaliar a associação entre poluição atmosférica e marcadores de morbi-mortalidade. Enfoca os MAG como uma alternativa para a modelagem de relações não lineares não especificadas, e mostra que essa classe de modelos constitui uma boa opção para representar tanto a sazonalidade quanto a relação entre o desfecho e as variáveis meteorológicas. Como exemplo de aplicação é avaliada a associação entre mortalidade em idosos e poluição atmosférica na cidade de São Paulo no período de 1994 a 1997. Os dados de mortalidade foram obtidos do Programa de Aprimoramento das Informações de Mortalidade (PRO-AIM) e as concentrações diárias de poluentes (PM10, SO2, CO, e ozônio) foram obtidas da Companhia de Tecnologia de Saneamento Ambiental (CETESB). Informações acerca da temperatura e umidade relativa do ar foram obtidas do Instituto Astronômico e Geofísico da Universidade de São Paulo (IAG-USP). As duas classes de modelos produziram resultados coerentes, mas os modelos estatisticamente mais sofisticados tiveram mais poder para detectar efeitos significantes. Foram observadas associações entre mortalidade e os níveis de CO, SO2 e, em menor escala, PM10. As associações observadas foram dose-dependente e evidentes após um curto período de exposição.

Resumo A leptospirose é uma zoonose que apresenta potencial epidêmico, principalmente após fortes chuvas que acarretam inundações, alagamentos e enxurradas. Algumas características da região costeira de Santa Catarina, localizada no Sul do Brasil, influenciam nesses processos. Portanto, a partir do estudo da leptospirose nos seis municípios do estado com as maiores incidências e picos epidêmicos de 2000 a 2015, buscou-se conhecer a tendência dessa doença e as variáveis climáticas e ambientais associadas à sua ocorrência, ajustando dois modelos com resposta binomial negativa. As maiores incidências foram encontradas em 2008 e 2011, com picos no mesmo mês ou no posterior aos eventos de desastres. A incidência apresentou forte comportamento sazonal, sendo maior nos meses do verão. Observou-se tendência de queda na incidência dos municípios estudados, estimada em 3,21% ao ano. Os fatores climáticos e ambientais mais fortemente associados foram o número de dias de chuva, a temperatura máxima e a presença de enxurrada e de inundação, com diferentes impactos entre os municípios. Houve interações significativas, indicando que o efeito de inundações na incidência não é o mesmo em todos os municípios e que as diferenças nas incidências entre os municípios dependem da ocorrência ou não de inundações.

Leptospirosis is a serious bacterial infection that occurs worldwide, with fatality rate of up to 40% in the most severe cases. The number of cases peaks during the rainy season and may reach epidemic proportions in the event of flooding. It is possible that people living in areas affected by natural disasters are at greater risk of contracting the disease. The aim of this study was to identify clusters of relatively higher risk for leptospirosis occurrence, both in space and time, in six municipalities of Santa Catarina, Brazil, which had the highest incidence of the disease between 2000 and 2016, and to evaluate if these clusters coincide with the occurrence of natural disasters. The cases were geocoded with the geographic coordinates of patients’ home addresses, and the analysis was performed using SaTScan software. The areas mapped as being at risk for hydrological and mass movements were compared with the locations of detected leptospirosis clusters. The disease was more common in men and in the age group from 15 to 69 years. In the scan statistics performed, only space-time showed significant results. Clusters were detected in all municipalities in 2008, when natural disasters preceded by heavy rainfall occurred. One of the municipalities also had clusters in 2011. In these clusters, most of the cases lived in urban areas and areas at risk for experiencing natural disasters. The interaction between time (time of disaster occurrence) and space (areas at risk of experiencing natural disasters) were the determining factors affecting cluster formation.

Objectives: This study aimed to describe the incidence and proportional lethality of human leptospirosis in the municipality of São Paulo, between 2007 and 2016, according to sociodemographic factors and characteristics of the disease, and to assess the temporal trends of incidence, according to age group and region of residence. Methods: Proportional distributions of leptospirosis cases of residents in the municipality were built and regression models with a Binomial Negative response were adjusted. Results: 2,201 cases of leptospirosis were registered, most of them being males (82%), aged between 20 to 59 years (64.6%), white (39%) or brown (32.8%), residing in the South (27.8%), East (23.8%) and North (18.5%) regions. The overall lethality was 15.1%. The risk was higher in the 20 to 59 age group. There was a downward trend in incidence in all age groups and regions, estimated at 5.6% per year. Conclusions: Despite the downward trend in incidence, leptospirosis is a serious disease with high lethality, affecting mainly male individuals in the age groups considered economically active and living in the peripheral regions of the municipality

Objective: To evaluate the distribution of the proportion of teenage mothers (PTM) in time and space and its relationship with socioeconomic indicators and social vulnerability. Methods: An ecological study was carried out with teenage mothers living in 322 census tracts in Foz do Iguaçu (state of Paraná, Brazil) between 2013 and 2019. Spatial clusters of teenage mothers were identified by spatial scanning and grouped into strata with different prevalence. The association between these strata and the individual social vulnerability of the mothers was evaluated using the Pearson's Chi-square test. Linear regression models were adjusted to evaluate the association between PTM and socioeconomic factors by census tract and temporal trend in PTM in different strata. Results: We identified five high prevalence clusters in peripheral regions and six with low prevalence in the central region of the municipality. Proportionally, there were more teenage mothers with a worse vulnerability index in the high prevalence stratum than in the low prevalence stratum. Places with worse socioeconomic conditions present higher PTM, a profile that did not change over time. For the increase of one unit in the Brazilian Deprivation Index and proportion of women responsible for the household, the PTM increased, respectively, by 3.8 (95%CI 3.1–4.4) and 0.086% (95%CI 0.03–0.14). There was a reduction in the global PTM in part of the period, which occurred later in the higher prevalence strata, but the proportions were stable again in the last years of study. Conclusion: Teenage pregnancy is concentrated in regions with worse socioeconomic conditions and greater maternal vulnerability and its behavior over time occurred differently in these areas.

There are scarce epidemiological studies on lung cancer mortality in areas exposed to asbestos in developing countries. We compared the rates and trends in mortality from lung cancer between 1980 and 2016 in a municipality that made extensive use of asbestos, Osasco, with rates from a referent municipality with lower asbestos exposure and with the rates for the State of São Paulo. We retrieved death records for cases of lung cancer (ICD-9 C162) (ICD-10 C33 C34) from 1980 to 2016 in adults aged 60 years and older. The join point regression and age-period-cohort models were fitted to the data. Among men, there was an increasing trend in lung cancer mortality in Osasco of 0.7% (CI: 0.1; 1.3) in contrast to a mean annual decrease for Sorocaba of -1.5% (CI: −2.4; −0.6) and a stable average trend for São Paulo of -0.1 (IC: −0.3; 0.1). Similar increasing trends were seen in women. The age-period-cohort model showed an increase in the risk of death from 1996 in Osasco and a reduction for Sorocaba and São Paulo State during the same period. Our results point to a need for a special monitoring regarding lung cancer incidence and mortality in areas with higher asbestos exposure.