Air pollution in the city of Kolkata: Health effects due to chronic exposure

2009 ◽  
Vol 19 (2) ◽  
pp. 53-70 ◽  
Author(s):  
Mrinal K. Ghose
2020 ◽  
Author(s):  
Jeadran Malagon-Rojas ◽  
Diana Carolina Pinzón-Silva ◽  
Eliana L Parra ◽  
Luisa Lagos ◽  
Yesith Guillermo Toloza-Perez ◽  
...  

BACKGROUND Air pollution in most countries exceeds the levels recommended by the World Health Organization, causing up to one-third of deaths due to non-communicable diseases. Particulate matter (PM) and black carbon (BC) from mobile sources are the main contaminants. OBJECTIVE This research will aim to assess the relationship of exposure to air pollutants in microenvironments (PM2.5 and BC), with respiratory health and physical activity in users traveling by different types of transportation in Bogotá METHODS A mixed-methods study based on a convergent parallel design will be carried out with workers and students, the sample will include 350 healthy transport users traveling by different urban transportation modes in three main routes in Bogotá. The study will be performed into two components. First, a descriptive qualitative component focused on asserting the individual perception of air pollution by semi-structured interviews. Second, a cross-sectional study towards a) measuring the individual exposure to PM2.5 and BC using portable instruments (DustTrak and microAeth, respectively) b) measuring the pulmonary function by spirometry; c) assessing physical activity with Accelerometry. The analysis will include a concurrent triangulation and logistic regression. This protocol was approved by the technical and ethical committee of Instituto Nacional de Salud, protocol number 7, issued on April 4, 2019. Informed consent will be obtained from all participants before conducting the study. RESULTS The findings, from a public/academy/private perspective, will be useful for the conception, design, and decision-making process in both sectors: health and mobility. This study includes personal measurements of PM2.5 and BC during typical trips in the city, allowing to know in real-time the exposure to these contaminants in the major roadways. Also, the study compares two different lung tests to identify possible short-term respiratory effects. As a limitation, the protocol will include participants from different institutions in the city which are not necessarily representative of all healthy populations in Bogota. In this sense, it is not possible to draw causation conclusions. In spite, convergent parallel designs could be especially problematic concerning integration because they often lack a clear plan for making a connection between the two sets of results. In this case, this kind of design is left with two separate sets of results that may not be well connected. Nevertheless, the study counts with a procedure for how to integrate qualitative and quantitative data in the interpretation of the results and also a logistic regression. The time that participants have to live in the city will be taken into account; this will be controlled in the stratified analysis. Another limitation is the wide age range and working status of the participants. Regional pollution levels and episodes (PM2.5) will be handled as confounding variables. Since the use of masks is part of the strategy for prevention and control that can limit the spread of COVID-19, as a biosecurity protocol all participants will use surgical face masks during field measurements. CONCLUSIONS In this study, it is hypothesized the exposure to air pollutants in microenvironments in Bogotá, Colombia. To our knowledge, this is the first mixed-methods study focused on PM2.5, BC, and respiratory health effects in a city above 2.000 meters above sea level. This study will provide an integration of air pollution exposure variables and respiratory health effects in different microenvironments.


Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 519
Author(s):  
Asmamaw Abera ◽  
Ebba Malmqvist ◽  
Yumjirmaa Mandakh ◽  
Erin Flanagan ◽  
Michael Jerrett ◽  
...  

Air pollution causes premature mortality and morbidity globally, but these adverse health effects occur over proportionately in low- and middle-income countries. Lack of both air pollution data and knowledge of its spatial distribution in African countries have been suggested to lead to an underestimation of health effects from air pollution. This study aims to measure nitrogen oxides (NOx), as well as nitrogen dioxide (NO2), to develop Land Use Regression (LUR) models in the city of Adama, Ethiopia. NOx and NO2 was measured at over 40 sites during six days in both the wet and dry seasons. Throughout the city, measured mean levels of NOx and NO2 were 29.0 µg/m3 and 13.1 µg/m3, respectively. The developed LUR models explained 68% of the NOx variances and 75% of the NO2. Both models included similar geographical predictor variables (related to roads, industries, and transportation administration areas) as those included in prior LUR models. The models were validated by using leave-one-out cross-validation and tested for spatial autocorrelation and multicollinearity. The performance of the models was good, and they are feasible to use to predict variance in annual average NOx and NO2 concentrations. The models developed will be used in future epidemiological and health impact assessment studies. Such studies may potentially support mitigation action and improve public health.


2016 ◽  
Vol 73 (4) ◽  
pp. 326-336 ◽  
Author(s):  
Amelija Djordjevic ◽  
Goran Ristic ◽  
Nenad Zivkovic ◽  
Branimir Todorovic ◽  
Sladjan Hristov ◽  
...  

Background/Aim. Analysis of air quality in Serbia indicates that the city of Nis belongs to a group of cities characterized by the third category of air quality (excessive air pollution). The aim of the study was to analyze the degree of causality between ambient air quality affected by particulate matter of 10 ?m (PM10) and carbon monoxide (CO) and the incidence of respiratory diseases in preschool children in the city of Nis. Methods. We quantified the influence of higher PM10 concentrations and carbon monoxide comprising motor vehicle exhausts in the city of Nis on the occurrence of unwanted health effects in preschool children by means of the hazard quotient (HQ), individual health risk (Ri), and the probability of cancer (ICR). The methodology used was according to the US Environmental Protection Agency (EPA), and it included basic scientific statistical methods, compilation methods, and the relevant mathematical methods for assessing air pollution health risk, based on the use of attribute equations. Results. Measurement of ambient air pollutant concentrations in the analyzed territory for the entire monitoring duration revealed that PM10 concentrations were significantly above the allowed limits during 80% of the days. The maximum measured PM10 concentration was 191.6 ?g/m3, and carbon monoxide 5.415 mg/m3. The incidence of respiratory diseases in the experimental group, with a prominent impact of polluted air was 57.17%, whereas the incidence in the control group was considerably lower, 41.10 %. There were also significant differences in the distribution of certain respiratory diseases. Conclusion. In order to perform good causal analysis of air quality and health risk, it is very important to establish and develop a system for long-term monitoring, control, assessment, and prediction of air pollution. We identified the suspended PM10 and CO as ambient air pollutants causing negative health effects in the exposed preschool children population.


Epidemiology ◽  
1998 ◽  
Vol 9 (Supplement) ◽  
pp. S76
Author(s):  
C Hazell ◽  
M Burr ◽  
G Karani ◽  
L Penny

Author(s):  
S.P. Kukkoev ◽  
T.F. Nikishina ◽  
P.N. Nikolaevich
Keyword(s):  
The City ◽  

The results of in-depth studies of the effect of air pollution in the city of Krasnodar on the health of the population, which showed that the main factor affecting the health of the population of Krasnodar, is air pollution.


2017 ◽  
Vol 68 (4) ◽  
pp. 841-846
Author(s):  
Hai-Ying Liu ◽  
Daniel Dunea ◽  
Mihaela Oprea ◽  
Tom Savu ◽  
Stefania Iordache

This paper presents the approach used to develop the information chain required to reach the objectives of the EEA Grants� RokidAIR project in two Romanian cities i.e., Targoviste and Ploiesti. It describes the PM2.5 monitoring infrastructure and architecture to the web-based GIS platform, the early warning system and the decision support system, and finally, the linking of air pollution to health effects in children. In addition, it shows the analysis performance of the designed system to process the collected time series from various data sources using the benzene concentrations monitored in Ploiesti. Moreover, this paper suggests that biomarkers, mobile technologies, and Citizens� Observatories are potential perspectives to improve data coverage by the provision of near-real-time air quality maps, and provide personal exposure and health assessment results, enabling the citizens� engagement and behavioural change. This paper also addresses new fields in nature-based solutions to improve air quality, and studies on air pollution and its mental health effects in the urban areas of Romania.


Author(s):  
Hong Chen ◽  
Yang Xu

The impact of environmental regulation has been an important topic. Based on the Chinese Custom Database and China City Statistical Yearbook, this paper investigates the effect of environmental regulation on export values and explores potential mechanisms and heterogeneous effects. Taking advantage of China’s first comprehensive air pollution prevention and control plan, the Air Pollution Control in Key Zones policy, as a quasi-natural experiment, we employ the difference-in-differences method to examine the causal relationship between environmental regulation and exports. We find the statistically significant and negative effect of environmental regulation on exports at the city level. Moreover, we find that the potential mechanism is the change in export values caused by firm entry and exit, especially by exiters, rather than the change in the number of exporting firms in the city caused by firm entry and exit. In addition, we find the heterogeneous effects of environmental regulation based on the differences of environmental policy across cities and the Broad Economic Categories classification.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Patrick D. M. C. Katoto ◽  
Amanda S. Brand ◽  
Buket Bakan ◽  
Paul Musa Obadia ◽  
Carsi Kuhangana ◽  
...  

Abstract Background Air pollution is one of the world’s leading mortality risk factors contributing to seven million deaths annually. COVID-19 pandemic has claimed about one million deaths in less than a year. However, it is unclear whether exposure to acute and chronic air pollution influences the COVID-19 epidemiologic curve. Methods We searched for relevant studies listed in six electronic databases between December 2019 and September 2020. We applied no language or publication status limits. Studies presented as original articles, studies that assessed risk, incidence, prevalence, or lethality of COVID-19 in relation with exposure to either short-term or long-term exposure to ambient air pollution were included. All patients regardless of age, sex and location diagnosed as having COVID-19 of any severity were taken into consideration. We synthesised results using harvest plots based on effect direction. Results Included studies were cross-sectional (n = 10), retrospective cohorts (n = 9), ecological (n = 6 of which two were time-series) and hypothesis (n = 1). Of these studies, 52 and 48% assessed the effect of short-term and long-term pollutant exposure, respectively and one evaluated both. Pollutants mostly studied were PM2.5 (64%), NO2 (50%), PM10 (43%) and O3 (29%) for acute effects and PM2.5 (85%), NO2 (39%) and O3 (23%) then PM10 (15%) for chronic effects. Most assessed COVID-19 outcomes were incidence and mortality rate. Acutely, pollutants independently associated with COVID-19 incidence and mortality were first PM2.5 then PM10, NO2 and O3 (only for incident cases). Chronically, similar relationships were found for PM2.5 and NO2. High overall risk of bias judgments (86 and 39% in short-term and long-term exposure studies, respectively) was predominantly due to a failure to adjust aggregated data for important confounders, and to a lesser extent because of a lack of comparative analysis. Conclusion The body of evidence indicates that both acute and chronic exposure to air pollution can affect COVID-19 epidemiology. The evidence is unclear for acute exposure due to a higher level of bias in existing studies as compared to moderate evidence with chronic exposure. Public health interventions that help minimize anthropogenic pollutant source and socio-economic injustice/disparities may reduce the planetary threat posed by both COVID-19 and air pollution pandemics.


2021 ◽  
pp. 110937
Author(s):  
Jenna Kanner ◽  
Anna Z. Pollack ◽  
Shamika Ranasinghe ◽  
Danielle R. Stevens ◽  
Carrie Nobles ◽  
...  

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