A Multi-Site Time Series Study of Hospital Admissions and Fine Particles: A Case-Study for National Public Health Surveillance

2007 ◽  
Author(s):  
Francesca Dominici
Keyword(s):  
Public Health ◽  
Time Series ◽  
Public Health Surveillance ◽  
Fine Particles ◽  
Hospital Admissions ◽  
Health Surveillance ◽  
Time Series Study ◽  
National Public Health ◽  
Series Study

scholarly journals Air pollutants and hospitalization due to pneumonia among children. An ecological time series study

2015 ◽  
Vol 133 (5) ◽  
pp. 408-413 ◽  
Author(s):  
Tassia Soldi Tuan ◽  
Taís Siqueira Venâncio ◽  
Luiz Fernando Costa Nascimento
Keyword(s):  
Time Series ◽  
Air Pollutants ◽  
Hospital Admissions ◽  
Population Attributable Fraction ◽  
Additive Model ◽  
Cost Savings ◽  
Time Series Study ◽  
Avoidable Hospitalizations ◽  
Relative Risks ◽  
Series Study

ABSTRACT CONTEXT AND OBJECTIVE: Exposure to air pollutants is one of the factors responsible for hospitalizations due to pneumonia among children. This has considerable financial cost, along with social cost. A study to identify the role of this exposure in relation to hospital admissions due to pneumonia among children up to 10 years of age was conducted. DESIGN AND SETTING: Ecological time series study using data from São José dos Campos, Brazil. METHODS: Daily data on hospitalizations due to pneumonia and on the pollutants CO, O3, PM10 and SO2, temperature and humidity in São José dos Campos, in 2012, were analyzed. A generalized additive model of Poisson's regression was used. Relative risks for hospitalizations due to pneumonia, according to lags of 0-5 days, were estimated. The population-attributable fraction, number of avoidable hospitalizations and cost savings from avoidable hospitalizations were calculated. RESULTS: There were 539 admissions. Exposure to CO and O3 was seen to be associated with hospitalizations, with risks of 1.10 and 1.15 on the third day after exposure to increased CO concentration of 200 ppb and ozone concentration of 20 µg/m3. Exposure to the pollutants of particulate matter and sulfur dioxide were not shown to be associated with hospitalizations. Decreases in CO and ozone concentrations could lead to 49 fewer hospitalizations and cost reductions of R$ 39,000.00. CONCLUSION: Exposure to certain air pollutants produces harmful effects on children's health, even in a medium-sized city. Public policies to reduce emissions of these pollutants need to be implemented.

scholarly journals Atmospheric Pollution and Hospitalization for Cardiovascular and Respiratory Diseases in the City of Manaus from 2008 to 2012

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Daniel S. Sacramento ◽  
Lourdes C. Martins ◽  
Marcos A. Arbex ◽  
Ysabely de A. P. Pamplona
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Respiratory Diseases ◽  
Hospital Admissions ◽  
Additive Models ◽  
Time Series Study ◽  
Wide Range ◽  
Temperature And Humidity ◽  
The City ◽  
Series Study

Introduction. Air pollution has been identified as a serious public health problem in the world’s major metropolises. Recent studies have shown that airborne particle concentrations are associated with a wide range of effects on human health, including increased hospital admissions for respiratory disease, enhanced asthma episodes, decreased lung function, and increased mortality. Objective. To relate the levels of air pollution and hospital admissions for cardiovascular and respiratory diseases in the city of Manaus in Brazil from 2008 to 2012. Method. This is an ecological time-series study among children (under 5 years of age) and elderly (above 60 years of age). Data on the daily number of hospitalizations for cardiovascular and respiratory diseases, pollutants (PM2.5), temperature, and humidity were used. Poisson generalized additive models were used to estimate the association between variables. Increases in hospitalizations for cardiovascular and respiratory diseases were estimated for the interquartile range (IQR) daily mean level of each variable studied, with a confidence interval of 95%. Results. Respiratory diseases and children: −0.40% (95% CI: −1.11, 0.30), 0.59% (95% CI: −0.35, 1.52), and 0.47% (95% CI: −3.28, 4.21) for PM2.5, temperature, and humidity, respectively. Respiratory diseases and elderly: 0.19% (95% CI: −0.93, 1.31), −0.10% (95% CI: −1.85, 1.65), and −6.17% (95% CI: −13.08, 0.74) for PM2.5, temperature, and humidity, respectively. Cardiovascular diseases and elderly: −0.18% (95% CI: −0.86, 0.50), −0.04% (95% CI: −1.10, 1.03), and −3.37% (95% CI: −7.59, 0.85) for PM2.5, temperature, and humidity, respectively. Conclusions. The time-series study found no significant association between PM2.5, temperature, humidity, and hospitalization, unlike the evidences provided by the present academic literature. Since there is no air quality monitoring network in Manaus and the option available in the present study was to reproduce some information obtained from remote sensing, there is a need for implementation of ground monitoring stations for health and environmental studies in the region.

scholarly journals Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256169
Author(s):  
Ketyllem Tayanne da Silva Costa ◽  
Thiffany Nayara Bento de Morais ◽  
Dayane Caroliny Pereira Justino ◽  
Fábia Barbosa de Andrade
Keyword(s):  
Time Series ◽  
Secondary Data ◽  
Health Surveillance ◽  
World Health ◽  
Microsoft Excel ◽  
Time Series Study ◽  
The World ◽  
Independent Variable ◽  
Health Organization ◽  
Series Study

The World Health Organization declared, at the end of 2019, a pandemic caused by SARS-CoV-2, a virus that causes Coronavirus Disease—COVID-19. Currently, Brazil has become the epicenter of the disease, registering approximately 345 thousand deaths. Thus, the study has scientific relevance in health surveillance as it identifies, quantifies and monitors the main behavioral patterns of the mortality rate due to COVID-19, in Brazil and in their respective regions. In this context, the study aims to assess the epidemiological behavior of mortality due to COVID-19 in Brazil: a time series study, referring to the year 2020. This is an ecological time series study, constructed using secondary data. The research was carried out in Brazil, having COVID-19 deaths as the dependent variable that occurred between the 12th and 53rd Epidemiological Week of 2020. The independent variable will be the epidemiological weeks. The data on deaths by COVID-19 were extracted in February 2021, on the Civil Registry Transparency Portal. The cleaning of the database and the information were treated in the Microsoft Excel® Software and, for statistical analysis, the JoinPoint software, version 4.7.0.0 was used. It was observed that Brazil presents an upward curve between the 12th and 19th SE, when it reaches saturation at the peak of mortality, which remains until the 35th SE and, subsequently, a downward curve was identified until the 47th SE, period in the which curve turns back up.

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