scholarly journals Simulación para Estimación de Muertes por Cáncer de Pulmón por Contaminación Ambiental de PM2.5. //Simulation to estimate deaths from lung cancer due to environmental contamination of PM2.5

Ciencia Unemi ◽  
2018 ◽  
Vol 11 (27) ◽  
pp. 97-110
Author(s):  
Gloria Arcos-Medina ◽  
Freddy Armijos-Arcos ◽  
Mayra Alejandra Oñate-Andino ◽  
Danilo Pastor ◽  
Rubén Jerves-Cobo

El objetivo de este estudio es estimar el número de muertes por cáncer de pulmón  provocadas por la contaminación ambiental debida a la exposición de las personas a material particulado fino menor a 2.5 µm (PM2.5).  Para cumplir con este fin, se realizó un estudio con enfoque deductivo en el que se efectuaron simulaciones del modelo de evaluación de la morbilidad ambiental desarrollado por la Organización Mundial de la Salud.  Se evaluó la exposición de la población a la contaminación por PM2.5, basado en datos monitoreados en 12 estaciones de calidad de aire del Distrito Metropolitano de Quito en los grupos de población expuestas a PM2.5, y la incidencia  en la salud, estimada en la tasa de mortalidad en la población. Para el período de análisis 1990-2020 el total de muertes por neoplasias pulmonares es de 3058 ± 24 de los cuales 523 ± 32 se asociarían con las concentraciones de PM2.5; equivalente al 17.1%, CI=95% [15.9%-18.3%] y un Riesgo Relativo de 1.2046 [1.0688, 1.394]. Estos resultados fueron obtenidos a través de un software desarrollado para el efecto.   En conclusión, los valores obtenidos en la presente simulación se encuentran dentro del intervalo de confianza en relación a otros estudios similares.AbstractThe objective of this study is to simulate the estimation of the number of deaths from lung cancer caused by environmental pollution due to human exposure to fine particulate matter less than 2.5 µm (PM2.5). To achieve this goal, the study was conducted with deductive approach.  A simulation environmental model to assess morbidity developed by the World Health Organization was applied, based on population exposure to PM2.5 pollutant. This was done with data obtained from 12 air quality stations of the Metropolitan District of Quito and the population groups exposed to PM2.5, determining the impact on health.  The final simulation was calculated using the death rate in the population. For the period 1990-2020, the total number of deaths due to lung neoplasms was 3058 ± 24.  The number of these deaths associated to PM2.5 pollution was 523 ± 32, which supposes a Relative Risk of 523 ± 32, equivalent to  17.1%, CI=95% [15.9%-18.3%]. These results were obtained through software developed for this purpose. In conclusion, the values obtained in the present simulation are within the confidence interval of other similar studies.

2018 ◽  
pp. 6.09-6.21 ◽  
Author(s):  
Jennifer Spencer ◽  
Bill Van Heyst

Particulate matter (PM) has been documented in an increasing number of research studies as having a known or suspected negative impact on human health. The World Health Organization (WHO) estimates that 3.1 million deaths were caused by ambient fine particulate matter (PM2.5) in 2010. While many Canadian studies focus on health impacts from PM2.5, there is a gap with respect to rural sourced PM2.5 and health impacts in these areas. This paper reviews the impact PM2.5 has on Canadians’ health, investigates where PM2.5 data is being gathered, and outlines the sources of PM2.5 reported. Secondary inorganic aerosols that are formed in and around animal production facilities due to the higher prevalence of ammonia gas is of particular interest. The conclusion drawn is that the reporting and gathering of rural sourced PM2.5 data is lacking, leading to a gap in the data used to determine the impacts on Canadian human health.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Ramachandran Prasannavenkatesh ◽  
Ramachandran Andimuthu ◽  
Palanivelu Kandasamy ◽  
Geetha Rajadurai ◽  
Divya Subash Kumar ◽  
...  

Research outcomes from the epidemiological studies have found that the course (PM10) and the fine particulate matter (PM2.5) are mainly responsible for various respiratory health effects for humans. The population-weighted exposure assessment is used as a vital decision-making tool to analyze the vulnerable areas where the population is exposed to critical concentrations of pollutants. Systemic sampling was carried out at strategic locations of Chennai to estimate the various concentration levels of particulate pollution during November 2013–January 2014. The concentration of the pollutants was classified based on the World Health Organization interim target (IT) guidelines. Using geospatial information systems the pollution and the high-resolution population data were interpolated to study the extent of the pollutants at the urban scale. The results show that approximately 28% of the population resides in vulnerable locations where the coarse particulate matter exceeds the prescribed standards. Alarmingly, the results of the analysis of fine particulates show that about 94% of the inhabitants live in critical areas where the concentration of the fine particulates exceeds the IT guidelines. Results based on human exposure analysis show the vulnerability is more towards the zones which are surrounded by prominent sources of pollution.


2013 ◽  
Vol 13 (12) ◽  
pp. 5873-5886 ◽  
Author(s):  
A. Waked ◽  
C. Seigneur ◽  
F. Couvidat ◽  
Y. Kim ◽  
K. Sartelet ◽  
...  

Abstract. Beirut, the capital of Lebanon, which is located on the eastern shore of the Mediterranean basin, experiences high air pollution episodes. Annual average concentrations of coarse and fine particulate matter (PM2.5) as well as nitrogen oxides (NOx) often exceed the World Health Organization (WHO) guidelines. Therefore, improving air quality in this region is essential. The Polyphemus/Polair3D modeling system is used here to investigate air pollution episodes in Beirut during 2 to 18 July 2011. The modeling domain covers two nested grids of 1 and 5 km horizontal resolution over greater Beirut and Lebanon, respectively. The anthropogenic emission inventory was developed earlier (Waked et al., 2012). The Weather and Research Forecasting (WRF) model is used to generate the meteorological fields and the Model of Emissions of Gases and Aerosols from Nature (MEGAN) is used for biogenic emissions. The results of the study are compared to measurements from a field campaign conducted in the suburb of Beirut during 2–18 July 2011. The model reproduces satisfactorily the concentrations of most gaseous pollutants, the total mass of PM2.5 as well as PM2.5 elemental carbon (EC), organic carbon (OC), and sulfate. Ozone concentrations are overestimated and it appears that this overestimation results mainly from the boundary conditions.


2019 ◽  
Vol 11 (18) ◽  
pp. 4984 ◽  
Author(s):  
Bazyli Czyżewski ◽  
Anna Matuszczak ◽  
Łukasz Kryszak ◽  
Andrzej Czyżewski

Fine particulate matter (PM2.5) emissions are an important global issue as air pollutants lead to approximately 7 million deaths per year (World Health Organization). In an attempt to combat this global threat, countries in the European Union (EU) allocate relatively large funds for environmental policies. The main goal of this paper is to assess the long-term efficiency of the EU countries’ environmental policy in reducing the pressure of particulates pollution on the natural environment. For this purpose, multilevel panel regression models based on seminal within–between specification are used. The models are run for a panel of 25 EU countries for the years 2004–2016. In the investigations, we tried to capture the effect of the share of utilized agricultural area (UAA) in non-urban areas of the analyzed countries, as it may potentially influence policy efficiency. It was found that environmental spending in all main categories (pollution abatement, biodiversity, R&D, and environmental protection) had a significant impact on decreasing pollution pressure; however, the policy was more efficient in countries which had a lower share of UAA in their non-urban areas. The study emphasized that the impact of “pollution abatement” expenditure may be underestimated in basic panel models.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Abhishek Upadhyay ◽  
Sagnik Dey ◽  
Sourangsu Chowdhury ◽  
Rajesh Kumar ◽  
Pramila Goyal

Abstract To curb the staggering health burden attributed to air pollution, the sustainable solution for India would be to reduce emissions in future. Here we project ambient fine particulate matter (PM2.5) exposure in India for the year 2030 under two contrasting air pollution emission pathways for two different climate scenarios based on Representative Concentration Pathways (RCP4.5 and RCP8.5). All-India average PM2.5 is expected to increase from 41.4 ± 26.5 μg m−3 in 2010 to 61.1 ± 40.8 and 58.2 ± 37.5 μg m−3 in 2030 under RCP8.5 and RCP4.5 scenarios, respectively if India follows the current legislation (baseline) emission pathway. In contrast, ambient PM2.5 in 2030 would be 40.2 ± 27.5 (for RCP8.5) and 39.2 ± 25.4 (for RCP4.5) μg m−3 following the short-lived climate pollutant (SLCP) mitigation emission pathway. We find that the lower PM2.5 in the mitigation pathway (34.2% and 32.6%, respectively for RCP8.5 and RCP4.5 relative to the baseline emission pathway) would come at a cost of 0.3–0.5 °C additional warming due to the direct impact of aerosols. The premature mortality burden attributable to ambient PM2.5 exposure is expected to rise from 2010 to 2030, but 381,790 (5–95% confidence interval, CI 275,620–514,600) deaths can be averted following the mitigation emission pathway relative to the baseline emission pathway. Therefore, we conclude that given the expected large health benefit, the mitigation emission pathway is a reasonable tradeoff for India despite the meteorological response. However, India needs to act more aggressively as the World Health Organization (WHO) annual air quality guideline (10 µg m−3) would remain far off.


2015 ◽  
Vol 6 ◽  
pp. 139-144
Author(s):  
T Sombo ◽  
A A Agbendeh ◽  
J O Tsor

The suspended fine particulate matter concentrations in Makurdi and Otukpo Metropolis were measured using Haz-Dust Sampler (AMS 95015). The measurements were carried out at major observed emission sources such as residential and traffic related sources. On the average, traffic- related sources recorded the highest concentration of suspended fine particulate matter in both metropolis with the highest concentration in Otukpo metropolis (594 : g/m ). Generally the measured values from all the sources are above World Health Organization (WHO) standards and National Air Quality Standard (150-230 : g/m 3 for 24 hrs). Results show that Otukpo metropolis has the highest fine particulate concentrations from residential and traffic related sources. In order to keep the suspended fine particulate concentrations from rising above prescribed standards, appropriate control measures are recommended.


2020 ◽  
Vol 17 (12) ◽  
pp. 1458-1464
Author(s):  
Sweta Kamboj ◽  
Rohit Kamboj ◽  
Shikha Kamboj ◽  
Kumar Guarve ◽  
Rohit Dutt

Background: In the 1960s, the human coronavirus was designated, which is responsible for the upper respiratory tract disease in children. Back in 2003, mainly 5 new coronaviruses were recognized. This study directly pursues to govern knowledge, attitude and practice of viral and droplet infection isolation safeguard among the researchers during the outbreak of the COVID-19. Introduction: Coronavirus is a proteinaceous and infectious pathogen. It is an etiological agent of severe acute respiratory syndrome (SARS) and the Middle East respiratory syndrome (MERS). Coronavirus, appeared in China from the seafood and poultry market last year, which has spread in various countries, and has caused several deaths. Methods: The literature data has been taken from different search platforms like PubMed, Science Direct, Embase, Web of Science, who.int portal and complied. Results: Corona virology study will be more advanced and outstanding in recent years. COVID-19 epidemic is a threatening reminder not solely for one country but all over the universe. Conclusion: In this review article, we encapsulated the pathogenesis, geographical spread of coronavirus worldwide, also discussed the perspective of diagnosis, effective treatment, and primary recommendations by the World Health Organization, and guidelines of the government to slow down the impact of the virus are also optimistic, efficacious and obliging for the public health. However, it will take a prolonged time in the future to overcome this epidemic.


2020 ◽  
Author(s):  
Lukman Olagoke ◽  
Ahmet E. Topcu

BACKGROUND COVID-19 represents a serious threat to both national health and economic systems. To curb this pandemic, the World Health Organization (WHO) issued a series of COVID-19 public safety guidelines. Different countries around the world initiated different measures in line with the WHO guidelines to mitigate and investigate the spread of COVID-19 in their territories. OBJECTIVE The aim of this paper is to quantitatively evaluate the effectiveness of these control measures using a data-centric approach. METHODS We begin with a simple text analysis of coronavirus-related articles and show that reports on similar outbreaks in the past strongly proposed similar control measures. This reaffirms the fact that these control measures are in order. Subsequently, we propose a simple performance statistic that quantifies general performance and performance under the different measures that were initiated. A density based clustering of based on performance statistic was carried out to group countries based on performance. RESULTS The performance statistic helps evaluate quantitatively the impact of COVID-19 control measures. Countries tend show variability in performance under different control measures. The performance statistic has negative correlation with cases of death which is a useful characteristics for COVID-19 control measure performance analysis. A web-based time-line visualization that enables comparison of performances and cases across continents and subregions is presented. CONCLUSIONS The performance metric is relevant for the analysis of the impact of COVID-19 control measures. This can help caregivers and policymakers identify effective control measures and reduce cases of death due to COVID-19. The interactive web visualizer provides easily digested and quick feedback to augment decision-making processes in the COVID-19 response measures evaluation. CLINICALTRIAL Not Applicable


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Walusa Assad Gonçalves-Ferri ◽  
◽  
Fábia Martins Pereira-Cellini ◽  
Kelly Coca ◽  
Davi Casale Aragon ◽  
...  

Abstract Background The World Health Organization recognizes exclusive breastfeeding a safe source of nutrition available for children in most humanitarian emergencies, as in the current pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Despite the Brazilian national guideline protecting breastfeeding practices, there are many concerns about protecting infants from their infected mothers. This study aimed to analyze how the Brazilian hospitals and maternity services promote and support mothers suspected or diagnosed with coronavirus disease (COVID-19). Methods This is a descriptive cross-sectional and multicenter study which collected data from 24 Brazilian hospitals and maternity services between March and July 2020. Representatives of the institutions completed a questionnaire based on acts to promote and support breastfeeding, the Baby-Friendly Hospital Initiative, and Brazil’s federal law recommendations. Results The results showed that in delivery rooms, 98.5% of the services prohibited immediate and uninterrupted skin-to-skin contact between mothers and their infants and did not support mothers to initiate breastfeeding in the first hour. On the postnatal ward, 98.5% of the services allowed breastfeeding while implementing respiratory hygiene practices to prevent transmission of COVID-19. Companions for mothers were forbidden in 83.3% of the hospitals. Hospital discharge was mostly between 24 and 28 h (79.1%); discharge guidelines were not individualized. Additionally, a lack of support was noticed from the home environment’s health community network (83.3%). Hospital and home breast pumping were allowed (87.5%), but breast milk donation was not accepted (95.8%). There was a lack of guidance regarding the use of infant comforting strategies. Guidelines specific for vulnerable populations were not covered in the material evaluated. Conclusions In Brazil, hospitals have not followed recommendations to protect, promote, and support breastfeeding during the COVID-19 outbreak. The disagreement between international guidelines has been a major issue. The absence of recommendations on breastfeeding support during the pandemic led to difficulties in developing standards among hospitals in different regions of Brazil and other countries worldwide. The scientific community needs to discuss how to improve maternal and infant care services to protect breastfeeding in the current pandemic.


2021 ◽  
pp. 101053952110260
Author(s):  
Mairead Connolly ◽  
Laura Phung ◽  
Elise Farrington ◽  
Michelle J. L. Scoullar ◽  
Alyce N. Wilson ◽  
...  

Preterm birth and stillbirth are important global perinatal health indicators. Definitions of these indicators can differ between countries, affecting comparability of preterm birth and stillbirth rates across countries. This study aimed to document national-level adherence to World Health Organization (WHO) definitions of preterm birth and stillbirth in the WHO Western Pacific region. A systematic search of government health websites and 4 electronic databases was conducted. Any official report or published study describing the national definition of preterm birth or stillbirth published between 2000 and 2020 was eligible for inclusion. A total of 58 data sources from 21 countries were identified. There was considerable variation in how preterm birth and stillbirth was defined across the region. The most frequently used lower gestational age threshold for viability of preterm birth was 28 weeks gestation (range 20-28 weeks), and stillbirth was most frequently classified from 20 weeks gestation (range 12-28 weeks). High-income countries more frequently used earlier gestational ages for preterm birth and stillbirth compared with low- to middle-income countries. The findings highlight the importance of clear, standardized, internationally comparable definitions for perinatal indicators. Further research is needed to determine the impact on regional preterm birth and stillbirth rates.


Sign in / Sign up

Export Citation Format

Share Document