scholarly journals Association between particulate matter air pollution and monthly inhalation and nebulization procedures in Ribeirão Preto, São Paulo State, Brazil

2012 ◽  
Vol 28 (8) ◽  
pp. 1591-1598 ◽  
Author(s):  
Estela Cristina Carneseca ◽  
Jorge Alberto Achcar ◽  
Edson Zangiacomi Martinez
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Sao Paulo ◽  
Respiratory Morbidity ◽  
São Paulo ◽  
Random Factor ◽  
Paulo State ◽  
São Paulo State ◽  
The Impact ◽  
The Relationship

The study was designed to investigate the impact of air pollution on monthly inhalation/nebulization procedures in Ribeirão Preto, São Paulo State, Brazil, from 2004 to 2010. To assess the relationship between the procedures and particulate matter (PM10) a Bayesian Poisson regression model was used, including a random factor that captured extra-Poisson variability between counts. Particulate matter was associated with the monthly number of inhalation/nebulization procedures, but the inclusion of covariates (temperature, precipitation, and season of the year) suggests a possible confounding effect. Although other studies have linked particulate matter to an increasing number of visits due to respiratory morbidity, the results of this study suggest that such associations should be interpreted with caution.

scholarly journals The impact of being homeless on the unsuccessful outcome of treatment of pulmonary TB in São Paulo State, Brazil

BMC Medicine ◽  
2016 ◽  
Vol 14 (1) ◽  
Author(s):  
Otavio T. Ranzani ◽  
Carlos R. R. Carvalho ◽  
Eliseu A. Waldman ◽  
Laura C. Rodrigues
Keyword(s):  
Sao Paulo ◽  
São Paulo ◽  
Pulmonary Tb ◽  
Paulo State ◽  
São Paulo State ◽  
The Impact

scholarly journals Anomalous scales of Tillandsia usneoides (L.) L. (Bromeliaceae) exposed in the Metropolitan Region of Campinas, SP, Brazil as air pollution markers

Hoehnea ◽  
2015 ◽  
Vol 42 (4) ◽  
pp. 749-757 ◽  
Author(s):  
Patrícia Giampaoli ◽  
Natalie do Valle Capelli ◽  
Armando Reis Tavares ◽  
Francine Faia Fernandes ◽  
Marisa Domingos ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Pollutants ◽  
Sao Paulo ◽  
Initial Evaluation ◽  
Metropolitan Region ◽  
São Paulo ◽  
Paulo State ◽  
Tillandsia Usneoides ◽  
São Paulo State

Tillandsia usneoides is an epiphytic bromeliad that has been used as a universal bioindicator. The species accumulates metals and presents foliar scale variations when exposed to air pollutants. This study aimed to use the variations in foliar scales as microscopic markers of pollutant effects in the Metropolitan Region of Campinas (MRC), São Paulo State, Brazil. T. usneoides plants were exposed for 12 weeks during dry and wet seasons, totaling four exposures, at five sites in the MRC. Samples were selected before each exposure for initial evaluation of the plants (T0). Leaf fragments were fixed in glutaraldehyde and total scale density and anomalous scale percentage were evaluated. Plants exposed in the MRC showed anomalies and changes in number of subperipheral cells of leaf scales. When compared to T0, T. usneoides presented higher total scale density and anomalous scale percentage at disturbed sites, thus the species can be used as a pollution bioindicator for MRC.

scholarly journals The relationship between low birth weight and exposure to inhalable particulate matter

2013 ◽  
Vol 29 (6) ◽  
pp. 1101-1108 ◽  
Author(s):  
Rodrigo Romão ◽  
Luiz Alberto Amador Pereira ◽  
Paulo Hilário Nascimento Saldiva ◽  
Patricia Matias Pinheiro ◽  
Alfésio Luiz Ferreira Braga ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Public Health Problem ◽  
Sao Paulo ◽  
São Paulo ◽  
Global Public Health ◽  
Paulo State ◽  
São Paulo State ◽  
Adverse Pregnancy ◽  
The Relationship

Atmospheric pollution is a global public health problem. The adverse effects of air pollution are strongly associated with respiratory and cardiovascular diseases and, to a lesser extent, with adverse pregnancy outcomes. This study analyzes the relationship between exposure to PM10 and low birth weight in the city of Santo André, São Paulo State, Brazil. We included babies born to mothers resident in Santo André between 2000 and 2006. Data on daily PM10 levels was obtained from the São Paulo State Environmental Agency. We performed descriptive analysis and logistic regressions. The prevalence rate of low birth weight was 5.9%. There was a dose-response relationship between PM10 concentrations and low birth weight. Exposure to the highest quartile of PM10 (37,50µg/m³) in the third trimester of pregnancy increased the risk of low birth weight by 26% (OR: 1.26; 95%CI: 1.14-1.40) when compared to the first quartile. The same effect was observed in the remaining trimesters. This effect was observed for ambient particle concentrations that met the current air quality standards.

scholarly journals Impact of nonpharmaceutical strategies on trends of COVID-19 in São Paulo State

2021 ◽  
Vol 55 ◽  
pp. 48
Author(s):  
Cristiane Ravagnani Fortaleza ◽  
Thomas Nogueira Vilches ◽  
Gabriel Berg de Almeida ◽  
Claudia Pio Ferreira ◽  
Lenice do Rosário de Souza ◽  
...  
Keyword(s):  
Interrupted Time Series ◽  
Sao Paulo ◽  
Reproductive Number ◽  
São Paulo ◽  
Social Distancing ◽  
Paulo State ◽  
São Paulo State ◽  
Time Series Analyses ◽  
The Impact ◽  
Mandatory Use

Interrupted time series analyses were conducted to measure the impact of social distancing policies (instituted on March 22, 2020) and of subsequent mandatory masking in the community (instituted on May 4, 2020) on the incidence and effective reproductive number of COVID-19 in São Paulo State, Brazil. Overall, the impact of social distancing both on incidence and Rt was greater than the incremental effect of mandatory masking. Those findings may reflect either a small impact of face masking or the loosening of social distancing after mandatory use of masks.

scholarly journals 1218Estimating the causal effect of mobility on Dengue during the COVID-19 pandemic

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Kirstin Roster ◽  
Colm Connaughton ◽  
Francisco A Rodrigues
Keyword(s):  
Causal Effect ◽  
Experimental Situation ◽  
Human Mobility ◽  
Sao Paulo ◽  
Average Treatment Effect ◽  
São Paulo ◽  
Paulo State ◽  
Quasi Experimental ◽  
São Paulo State ◽  
The Impact

Abstract Background The COVID-19 pandemic led to a reduction in human mobility which occurred randomly (in time) and is not linked to any other Dengue risk factors. This gives rise to a quasi-experimental situation to assess the impact of mobility reduction on Dengue Fever in Brazilian cities using propensity score matching. Methods We match weeks during the peak pandemic period for 37 cities in São Paulo state with comparable prior periods based on instruments for mosquito population size and human susceptibility. By matching within cities, we also control for city-level characteristics, such as landscape or population density. We compute propensity scores using logistic regression and Random Forests and implement both one-to-one and one-to-many matching with calipers. Results We compare the Sample Average Treatment Effect on the Treated (SATT) across models and find variation in the direction of the causal effect. In 12 cities, mobility reductions are linked to more Dengue cases, while fewer cases are reported in 9 cities. The remaining cities are sensitive to the model chosen. Conclusions The SATT of mobility on Dengue varies across the cities in our sample, with more cities experiencing an increase in cases during the COVID-19 pandemic. Key messages A quasi-experimental analysis suggests that there is a a causal effect of mobility on Dengue that varies across cities in São Paulo state.

scholarly journals Mathematical modeling of the transmission of SARS-CoV-2—Evaluating the impact of isolation in São Paulo State (Brazil) and lockdown in Spain associated with protective measures on the epidemic of CoViD-19

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252271
Author(s):  
Hyun Mo Yang ◽  
Luis Pedro Lombardi Junior ◽  
Fábio Fernandes Morato Castro ◽  
Ariana Campos Yang
Keyword(s):  
Face Mask ◽  
Sao Paulo ◽  
World Health ◽  
Model Parameters ◽  
São Paulo ◽  
Protective Measures ◽  
Paulo State ◽  
São Paulo State ◽  
Health Organization ◽  
The Impact

Coronavirus disease 2019 (CoViD-19), with the fatality rate in elder (60 years old or more) being much higher than young (60 years old or less) patients, was declared a pandemic by the World Health Organization on March 11, 2020. A mathematical model considering young and elder subpopulations under different fatality rates was formulated based on the natural history of CoViD-19 to study the transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The model considered susceptible, exposed, asymptomatic, pre-symptomatic, mild CoViD-19, severe CoViD-19, and recovered compartments, besides compartments of isolated individuals and those who were caught by test. This model was applied to study the epidemiological scenario resulting from the adoption of quarantine (isolation or lockdown) in many countries to control the rapid propagation of CoViD-19. We chose as examples the isolation adopted in São Paulo State (Brazil) in the early phase but not at the beginning of the epidemic, and the lockdown implemented in Spain when the number of severe CoViD-19 cases was increasing rapidly. Based on the data collected from São Paulo State and Spain, the model parameters were evaluated, and we obtained a higher estimation for the basic reproduction number R0 (9.24 for São Paulo State, and 8 for Spain) compared to the currently accepted estimation of R0 around 2 using the SEIR (susceptible, exposed, infectious, and recovered compartments) model. In comparison with the lockdown in Spain, the relatively early adoption of the isolation in São Paulo State resulted in enlarging the period of the first wave of the epidemic and delaying its peak. The model allowed to explain the flattening of the epidemic curves by quarantine when associated with the protective measures (face mask, washing hands with alcohol and gel, and social distancing) adopted by the population. The description of the epidemic under quarantine and protections can be a background to foreseen the epidemiological scenarios from the release strategies, which can help guide public health policies by decision-makers.

scholarly journals Mathematical modeling of the transmission of SARS-CoV-2 ″ Evaluating the impact of isolation in São Paulo State (Brazil) and lockdown in Spain associated with protective measures on the epidemic of covid-19

2020 ◽  
Author(s):  
Hyun Mo Yang ◽  
Luis Pedro Lombardi ◽  
Fabio Fernandes Morato Castro ◽  
Ariana Campos Yang
Keyword(s):  
Mathematical Model ◽  
Sao Paulo ◽  
World Health ◽  
Model Parameters ◽  
São Paulo ◽  
Fatality Rate ◽  
Protective Measures ◽  
Paulo State ◽  
São Paulo State ◽  
The Impact

Coronavirus disease 2019 (covid-19), with the fatality rate in elder (60 years old or more) being much higher than young (60 years old or less) patients, was declared a pandemic by the World Health Organization on March 11, 2020. Taking into account this age-dependent fatality rate, a mathematical model considering young and elder subpopulations was formulated based on the natural history of covid-19 to study the transmission of the SARS-CoV-2. This model can be applied to study the epidemiological scenario resulting from the adoption of isolation or lockdown in many countries to control the rapid propagation of covid-19. We chose as examples the isolation adopted in São Paulo State (Brazil) in the early phase but not at the beginning of the epidemic, and the lockdown implemented in Spain when the number of severe covid-19 cases was increasing rapidly. Based on the data collected from Sa ̃o Paulo State and Spain, the model parameters were evaluated and we obtained higher estimation for the basic reproduction number R0 (9.24 for São Paulo State, and 8 for Spain) compared to the currently accepted estimation of R0 around 3. The model allowed to explain the flattening of the epidemic curves by isolation in São Paulo State and lockdown in Spain when associated with the protective measures (face mask and social distancing) adopted by the population. However, a simplified mathematical model providing lower estimation for R0 did not explain the flattening of the epidemic curves. The implementation of the isolation in Sa ̃o Paulo State before the rapidly increasing phase of the epidemic enlarged the period of the first wave of the epidemic and delayed its peak, which are the desirable results of isolation to avoid the overloading in the health care system.

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