scholarly journals The Climate and Health Impacts of Gasoline and Diesel Emissions

Eos ◽  
2020 ◽  
Vol 101 ◽  
Author(s):  
David Shultz
Keyword(s):  
Human Health ◽  
Vehicle Emissions ◽  
Diesel Emissions ◽  
Health Impacts ◽  
Premature Deaths ◽  
Climate And Health ◽  
New Research

New research tallies the effects of gas- and diesel-burning vehicle emissions on the climate, as well as on human health. Together, the emissions cause more than 200,000 premature deaths each year.

scholarly journals Contribution and uncertainty of sectorial and regional emissions to regional and global PM<sub>2.5</sub> health impacts

2019 ◽  
Vol 19 (7) ◽  
pp. 5165-5186 ◽  
Author(s):  
Monica Crippa ◽  
Greet Janssens-Maenhout ◽  
Diego Guizzardi ◽  
Rita Van Dingenen ◽  
Frank Dentener
Keyword(s):  
Power Generation ◽  
Air Quality ◽  
Human Health ◽  
Emission Inventory ◽  
Health Impacts ◽  
Pollutant Emission ◽  
Emission Sources ◽  
Emission Inventories ◽  
Anthropogenic Emission ◽  
Premature Deaths

Abstract. In this work we couple the HTAP_v2.2 global air pollutant emission inventory with the global source receptor model TM5-FASST to evaluate the relative contributions of the major anthropogenic emission sources (power generation, industry, ground transport, residential, agriculture and international shipping) to air quality and human health in 2010. We focus on particulate matter (PM) concentrations because of the relative importance of PM2.5 emissions in populated areas and the well-documented cumulative negative effects on human health. We estimate that in 2010, depending on the region, annual averaged anthropogenic PM2.5 concentrations varied between ca. 1 and 40 µg m−3, with the highest concentrations observed in China and India, and lower concentrations in Europe and North America. The relative contribution of anthropogenic emission sources to PM2.5 concentrations varies between the regions. European PM pollution is mainly influenced by the agricultural and residential sectors, while the major contributing sectors to PM pollution in Asia and the emerging economies are the power generation, industrial and residential sectors. We also evaluate the emission sectors and emission regions in which pollution reduction measures would lead to the largest improvement on the overall air quality. We show that air quality improvements would require regional policies, in addition to local- and urban-scale measures, due to the transboundary features of PM pollution. We investigate emission inventory uncertainties and their propagation to PM2.5 concentrations, in order to identify the most effective strategies to be implemented at sector and regional level to improve emission inventories, knowledge and air quality modelling. We show that the uncertainty of PM concentrations depends not only on the uncertainty of local emission inventories, but also on that of the surrounding regions. Countries with high emission uncertainties are often impacted by the uncertainty of pollution coming from surrounding regions, highlighting the need for effective efforts in improving emissions not only within a region but also from extra-regional sources. Finally, we propagate emission inventory uncertainty to PM concentrations and health impacts. We estimate 2.1 million premature deaths per year with an uncertainty of more than 1 million premature deaths per year due to the uncertainty associated only with the emissions.

scholarly journals Contribution of Aerosol Sources to Health Impacts

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 730
Author(s):  
Daniele Contini ◽  
Ying-Hsuan Lin ◽  
Otto Hänninen ◽  
Mar Viana
Keyword(s):  
Risk Factors ◽  
Human Health ◽  
Environmental Risk ◽  
Atmospheric Aerosol ◽  
Environmental Risk Factors ◽  
Health Impacts ◽  
Premature Deaths ◽  
Aerosol Sources

Atmospheric aerosol is one of the major leading environmental risk factors for human health worldwide, potentially causing several million premature deaths per year [1,2]. [...]

scholarly journals Mapping global research on climate and health using machine learning (a systematic evidence map)

2021 ◽  
Vol 6 ◽  
pp. 7
Author(s):  
Lea Berrang-Ford ◽  
Anne J. Sietsma ◽  
Max Callaghan ◽  
Ja C. Minx ◽  
Pauline Scheelbeek ◽  
...  
Keyword(s):  
Climate Change ◽  
Machine Learning ◽  
Human Health ◽  
Topic Modeling ◽  
Evidence Synthesis ◽  
Supervised Machine Learning ◽  
Health Impacts ◽  
Synthesis Methods ◽  
Causal Pathways ◽  
Climate And Health

Climate change is already affecting health in populations around the world, threatening to undermine the past 50 years of global gains in public health. Health is not only affected by climate change via many causal pathways, but also by the emissions that drive climate change and their co-pollutants. Yet there has been relatively limited synthesis of key insights and trends at a global scale across fragmented disciplines. Compounding this, an exponentially increasing literature means that conventional evidence synthesis methods are no longer sufficient or feasible. Here, we outline a protocol using machine learning approaches to systematically synthesize global evidence on the relationship between climate change, climate variability, and weather (CCVW) and human health. We will use supervised machine learning to screen over 300,000 scientific articles, combining terms related to CCVW and human health. Our inclusion criteria comprise articles published between 2013 and 2020 that focus on empirical assessment of: CCVW impacts on human health or health-related outcomes or health systems; relate to the health impacts of mitigation strategies; or focus on adaptation strategies to the health impacts of climate change. We will use supervised machine learning (topic modeling) to categorize included articles as relevant to impacts, mitigation, and/or adaptation, and extract geographical location of studies. Unsupervised machine learning using topic modeling will be used to identify and map key topics in the literature on climate and health, with outputs including evidence heat maps, geographic maps, and narrative synthesis of trends in climate-health publishing. To our knowledge, this will represent the first comprehensive, semi-automated, systematic evidence synthesis of the scientific literature on climate and health.

Planetary Health, Climate Change, and Lifestyle Medicine: Threats and Opportunities

2021 ◽  
pp. 155982762110081
Author(s):  
Neha Pathak ◽  
Amanda McKinney
Keyword(s):  
Climate Change ◽  
Human Health ◽  
Core Competencies ◽  
Well Being ◽  
Health Impacts ◽  
Noncommunicable Diseases ◽  
Potential Health ◽  
Lifestyle Medicine ◽  
The Face ◽  
Mitigate Climate Change

Global environmental degradation and climate change threaten the foundation of human health and well-being. In a confluence of crises, the accelerating pace of climate change and other environmental disruptions pose an additional, preventable danger to a global population that is both aging and carrying a growing burden of noncommunicable diseases (NCDs). Climate change and environmental disruption function as “threat multipliers,” especially for those with NCDs, worsening the potential health impacts on those with suboptimal health. At the same time, these environmental factors threaten the basic pillars of health and prevention, increasing the risk of developing chronic disease. In the face of these threats, the core competencies of lifestyle medicine (LM) present crucial opportunities to mitigate climate change and human health impacts while also allowing individuals and communities to build resilience. LM health professionals are uniquely positioned to coach patients toward climate-healthy behavior changes that heal both people and the planet.

scholarly journals Health Impacts of Urban Bicycling in Mexico

2021 ◽  
Vol 18 (5) ◽  
pp. 2300
Author(s):  
David Rojas-Rueda
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Air Pollution ◽  
Health Risks ◽  
Health Benefits ◽  
Health Impacts ◽  
Traffic Fatalities ◽  
Premature Deaths ◽  
Air Pollution Exposure ◽  
Pollution Exposure

Background: Bicycling has been associated with health benefits. Local and national authorities have been promoting bicycling as a tool to improve public health and the environment. Mexico is one of the largest Latin American countries, with high levels of sedentarism and non-communicable diseases. No previous studies have estimated the health impacts of Mexico’s national bicycling scenarios. Aim: Quantify the health impacts of Mexico urban bicycling scenarios. Methodology: Quantitative Health Impact Assessment, estimating health risks and benefits of bicycling scenarios in 51,718,756 adult urban inhabitants in Mexico (between 20 and 64 years old). Five bike scenarios were created based on current bike trends in Mexico. The number of premature deaths (increased or reduced) was estimated in relation to physical activity, road traffic fatalities, and air pollution. Input data were collected from national publicly available data sources from transport, environment, health and population reports, and surveys, in addition to scientific literature. Results: We estimated that nine premature deaths are prevented each year among urban populations in Mexico on the current car-bike substitution and trip levels (1% of bike trips), with an annual health economic benefit of US $1,897,920. If Mexico achieves similar trip levels to those reported in The Netherlands (27% of bike trips), 217 premature deaths could be saved annually, with an economic impact of US $45,760,960. In all bicycling scenarios assessed in Mexico, physical activity’s health benefits outweighed the health risks related to traffic fatalities and air pollution exposure. Conclusion: The study found that bicycling promotion in Mexico would provide important health benefits. The benefits of physical activity outweigh the risk from traffic fatalities and air pollution exposure in bicyclists. At the national level, Mexico could consider using sustainable transport policies as a tool to promote public health. Specifically, the support of active transportation through bicycling and urban design improvements could encourage physical activity and its health co-benefits.

The use of the risk assessment in the life cycle assessment framework

2015 ◽  
Vol 26 (3) ◽  
pp. 389-406 ◽  
Author(s):  
Maria Francesca Milazzo ◽  
Francesco Spina
Keyword(s):  
Risk Assessment ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Human Health ◽  
Biodiesel Production ◽  
Health Impacts ◽  
Complete Analysis ◽  
Transfer Factors ◽  
Content Type ◽  
Human Health Impacts

Purpose – The purpose of this paper is to quantify the human health impacts of soy-biodiesel production with the aim to discuss about its environmental sustainability. Design/methodology/approach – The integrated use of two current approaches, risk assessment (RA) and life cycle assessment (LCA), has allowed improvement of the potentialities of both in obtaining a more complete analysis. The implementation of a life cycle indicator for the assessment of the impacts on the human health, integrating the features of both approaches, is the main focus of this paper. Findings – It has been found that, although the biodiesel is a green fuel, it has some criticalities in its life cycle, which cannot be disregarded. In fact, even if biodiesel is essentially a clean fuel there are some phases, prior to the industrial phase, that can cause negative effects on human health and ecosystems. Practical implications – Results suggest some measures which can be adopted to substantially reduce human health impacts. Further alternative could be analysed in future to gain more insight about the use of biodiesel fuels. Originality/value – The estimation of the impacts of a process producing biodiesel has been made by using a novel approach. The novelty is associated with the calculation of the impacts on human health by using the transfer factors applied in RA. The use of such factors, properly modified in order to estimate the impacts on a wider scale than a site-dimension, allows defining a holistic approach, as LCA and RA are used as complete units but at the same time can be related to each other.

scholarly journals Epidemics, Lockdown Measures and Vulnerable Populations: A Mixed-Methods Systematic Review of the Evidence of Impacts on Mother and Child Health in Low-And- Lower Middle-Income Countries

2021 ◽  
Author(s):  
Giuliano Russo ◽  
Tiago Silva Jesus ◽  
Kevin Deane ◽  
Abdinasir Yusuf Osman ◽  
David McCoy
Keyword(s):  
Systematic Review ◽  
Mixed Methods ◽  
Inclusion Criteria ◽  
Middle Income ◽  
Middle Income Countries ◽  
Premature Deaths ◽  
Trade Offs ◽  
Mother And Child ◽  
New Research ◽  
The Impact

Background: The aim of this research was to synthetise the existing evidence on the impact of epidemic-related lockdown measures on women and children’s health in low-and-lower-middle-income countries. Methods: A mixed-methods systematic review was conducted of qualitative, quantitative and mixed-methods evidence. Between November 1st-10th 2021, seven scientific databases were searched. The inclusion criteria were that the paper provided evidence on the impact of lockdown and related measures, focused on low-and-lower-middle-income countries, addressed impacts on women and child’s health, addressed epidemics from 2000-2020, was peer-reviewed, provided original evidence, and was published in English. The Joanne Briggs Institute’s critical appraisal tools were used to assess the quality of the studies, and the PRISMA guidelines for reporting. The evidence from the papers was grouped by type of lockdown measure and categories of impact, using a narrative data-based convergent synthesis design. Results: The review process identified 46 papers meeting the inclusion criteria from 17 countries whichall focussed on the COVID-19 and Ebola epidemics. The evidence on the decrease of utilisation of health services showed plummeting immunisation rates and faltering use of maternal and perinatal services, which was linked to a growth of premature deaths. Impacts on the mental health of children and women is well-established, with lockdowns associated with surges in depression, anxiety and low life satisfaction. Vulnerability may be compounded by lockdowns, as livelihoods are disrupted, and poverty levels increase. Conclusion: Limitations included that searches were conducted in late-2020 as new research was being published, and that some evidence not published in English may have been excluded. Epidemic-related lockdown measures carry consequences for the health of women and children in lower-income settings. Governments will need to weigh the trade-offs of introducing such measures and consider policies to mitigate their impacts on the most vulnerable.

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