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Disease burden

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45: 53: 742:. As levels of PM10 decrease, related disease burden is also expected to decrease. Noise exposure and its associated disease burden is likely to increase to a level where the disease burden is similar to that of traffic accidents. The rough estimates do not provide a complete picture of the environmental health burden, because data are uncertain, not all environmental-health relationships are known, not all environmental factors have been included, and it was not possible to assess all potential health effects. The effects of a number of these assumptions were evaluated in an uncertainty analysis. 731:, air pollution is associated with respiratory and cardiovascular diseases, and exposure to certain forms of radiation can lead to the development of cancer. Quantification of the health impact of the environment was done by calculating DALYs for air pollution, noise, radon, UV, and indoor dampness for the period 1980 to 2020. In the Netherlands, 2–5% of the total disease burden in 2000 could be attributed to the effects of (short-term) exposure to air pollution, noise, radon, natural UV radiation, and 848:
resource needs. The choice of measures may also depend on individual and societal values. Measures that only consider premature death will omit the burden of living with a disease or disability, and measures that combine both in a single measure (i.e. DALYs) need to make a judgment to the significance of these measures compared to each other. Other metrics such as economic costs will not capture pain and suffering or other broader aspects of burden.
87:(DALYs). Both of these metrics quantify the number of years lost due to disability (YLDs), sometimes also known as years lost due to disease or years lived with disability/disease. One DALY can be thought of as one year of healthy life lost, and the overall disease burden can be thought of as a measure of the gap between current health status and the ideal health status (where the individual lives to 838:. These changes in the estimates of death and disease can partly be explained by the progress that has been achieved in some countries in improving access to WASH. For example, several large Asian countries (China, India, Indonesia) have managed to increase the "safely managed sanitation services" in their country from the year 2015 to 2020 by more than 10 percentage points. 808:
all DALYs globally." Of the four health outcomes studied, it was diarrheal disease that had the most striking correlation, namely the highest number of "attributable burden of disease": over 1 million deaths and 55 million DALYs from diarrheal diseases was linked with lack of WASH. Of these deaths, 564,000 deaths were linked to unsafe sanitation in particular.
706:, but it is possible to estimate a range of possible values the environmental disease burden may take based on different input parameters and assumptions. When more than one definition has to be made about a certain element in the assessment, multiple analyses can be run, using different sets of definitions. 689:
data, exposure-response relationships, and weighting factors that give an indication of the severity of a certain disorder. When information is missing or vague, experts will be consulted in order to decide which alternative data sources to use. An uncertainty analysis is carried out so as to analyze
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data to develop environmentally attributable fractions (EAFs) of mortality and morbidity for 85 categories of disease. In 2007, they released the first country-by-country analysis of the impact environmental factors had on health for its then 192 member states. These country estimates were the first
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in June 2015, low back pain and major depressive disorder were among the top ten causes of YLDs and were the cause of more health loss than diabetes, chronic obstructive pulmonary disease, and asthma combined. The study based on data from 188 countries, considered to be the largest and most detailed
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is most often directed at diseases with the highest DALYs, ignoring the fact that other diseases, despite having lower DALYs, are still major contributors to disease burden. Less-publicized diseases thus have little or no funding for health efforts. For example, maternal death (one of the top three
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There is no consensus on the best measures of the public's health. This may be due to the fact that measurements are used to accomplish diverse functions, such as population health assessment, evaluation of the effectiveness of interventions, formulation of health policies, and projection of future
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In 2023, WHO summarized the available data with the following key findings: "In 2019, use of safe WASH services could have prevented the loss of at least 1.4 million lives and 74 million disability-adjusted life years (DALYs) from four health outcomes. This represents 2.5% of all deaths and 2.9% of
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When estimating the environmental burden of disease, a number of potential sources of error may arise in the measure of exposure and exposure-risk relationship, assumptions made in applying the exposure or exposure-risk relationship to the relevant country, health statistics, and, if used, expert
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An earlier report by World Health Organization which analyzed data up to 2016 had found higher values: "The WASH-attributable disease burden amounts to 3.3% of global deaths and 4.6% of global DALYs. Among children under 5 years, WASH-attributable deaths represent 13% of deaths and 12% of DALYs.
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developed by the WHO, EAFs developed by other researchers, and data from Canadian public health institutions were used. Results showed a total of 10,000–25,000 deaths, with 78,000–194,000 hospitalizations; 600,000–1.5 million days spent in hospital; 1.1–1.8 million restricted activity days for
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In 2006, the WHO released a report which addressed the amount of global disease that could be prevented by reducing environmental risk factors. The report found that approximately one-fourth of the global disease burden and more than one-third of the burden among children was due to modifiable
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published in November 2014, disorders in those aged 60 years and older represent "23% of the total global burden of disease" and leading contributors to disease burden in this group in 2014 were "cardiovascular diseases (30.3%), malignant neoplasms (15.1%), chronic respiratory diseases (9.5%),
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The connection between lack of WASH and burden of disease is primarily one of poverty and poor access in developing countries: "the WASH-attributable mortality rates were 42, 30, 4.4 and 3.7 deaths per 100 000 population in low-income, lower-middle income, upper-middle income and high-income
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The WHO developed a methodology to quantify the health of a population using summary measures, which combine information on mortality and non-fatal health outcomes. The measures quantify either health gaps or health expectancies; the most commonly used health summary measure is the DALY.
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Acute respiratory infections was the second largest cause of WASH-attributable burden of disease in 2019, followed by undernutrition and soil-transmitted helminthiases. The latter does not lead to such high death numbers (in comparison) but is fully connected to unsafe WASH; its
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Wyper GM, Assuncao R, Fletcher E, Gourley M, Grant I, Haagsma JA, Hilderink H, Idavain J, Lesnik T, von der Lippe E, Majdan M, McCartney G, Santric-Milicevic M, Pallari E, Pires SM, Plass D, Porst M, Santos JV, de Haro Moro MT, Stockton DL, Devleesschauwer B (2021).
1501:"Global, regional, and national burdens of ischemic heart disease and stroke attributable to exposure to long working hours for 194 countries, 2000–2016: A systematic analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury" 1188:"Global, regional, and national burdens of ischemic heart disease and stroke attributable to exposure to long working hours for 194 countries, 2000–2016: A systematic analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury" 608:(PM10), estimating the susceptible population, and combining these data with relevant dose-response relationships. A reduction of particulate matter levels in the air to recommended standards would cause a reduction of about 5,200 deaths, 4,700 respiratory 118:
to human health. These measures allow for comparison of disease burdens, and have also been used to forecast the possible impacts of health interventions. By 2014, DALYs per head were "40% higher in low-income and middle-income regions."
1030:"Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013" 816:
countries, respectively." The regions most affected are in the WHO Africa and South-East Asia regions. Here, between 66 and 76% of the diarrheal disease burden could be prevented if access to safe WASH services was provided.
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analysis to quantify levels, patterns, and trends in ill health and disability, concluded that "the proportion of disability-adjusted life years due to YLDs increased globally from 21.1% in 1990 to 31.2% in 2013." The
754:, so the magnitude of their contribution to Canada's total disease burden is not well understood. In order to give an initial estimate of the environmental burden of disease for four major categories of disease, the 653:
The total number of deaths, DALYs per capita, and the percentage of the national burden of disease attributable to the environment represent the disease burden that could be avoided by modifying the environment as a
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Martin J Prince; Fan Wu; Yanfei Guo; Luis M Gutierrez Robledo; Martin O'Donnell; Richard Sullivan; Salim Yusuf (2015). "The burden of disease in older people and implications for health policy and practice".
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killers in most poor countries) and pediatric respiratory and intestinal infections maintain a high disease burden, and safe pregnancy and the prevention of coughs in infants do not receive adequate funding.
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DALYs are a simplification of a complex reality, and therefore only give a crude indication of environmental health impact. Relying on DALYs may make donors take a narrow approach to health care programs.
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A dose-response relationship is a function of the exposure parameter assessed for the study population. Exposure distribution and dose-response relationships are combined to yield the study population's
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levels, is used to calculate the environmental burden of disease. This approach requires knowledge of the outcomes associated with the relevant risk factor, exposure levels and distribution in the
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The WHO has investigated which proportion of death and disease worldwide can be attributed to insufficient WASH services. In their analysis they focus on the following four health outcomes:
126:(WHO) has provided a set of detailed guidelines for measuring disease burden at the local or national level. In 2004, the health issue leading to the highest YLD for both men and women was 834:
could have been prevented in 2016 with adequate WASH." An even earlier study from 2002 had estimated even higher values, namely that up to 5 million people die each year from preventable
596:. The health impact distribution can then be converted into health summary measures, such as DALYs. Exposure-response relationships for a given risk factor are commonly obtained from 427:
attributed to environmental causes is also 12 times higher in developing countries. 85 out of the 102 major diseases and injuries classified by WHO were due to environmental factors.
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Each country summary was broken down by the disease group, where the annual number of DALYs per capita attributable to environmental factors were calculated for each group.
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3.6–9.1 billion in costs each year due to respiratory disease, cardiovascular illness, cancer, and congenital conditions associated with adverse environmental exposures.
2720: 1330:"Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010" 2599: 1646:"Water, sanitation and hygiene: quantifying the health impact at national and local levels in countries with incomplete water supply and sanitation coverage" 999: 2136: 1380: 151:, conducted in 1990, quantified the health effects of more than 100 diseases and injuries for eight regions of the world, giving estimates of 2727: 2438: 1668:"The impact of worldwide, national and sub-national severity distributions in Burden of Disease studies: A case study of cancers in Scotland" 804:("Good Health and Wellbeing"): Indicator 3.9.2 reports on the "mortality rate attributed to unsafe water, sanitation, and lack of hygiene". 2303: 2225: 434:
was defined as "all the physical, chemical and biological factors external to a person, and all the related behaviours". The definition of
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environmental factors. The "environmentally-mediated" disease burden is much higher in developing countries, with the exception of certain
2273: 2066: 823:– which is the most extreme form of "lack of sanitation" – is a major factor in causing various diseases, most notably diarrhea and 2448: 170:
In 2004, the World Health Organization calculated that 1.5 billion disability-adjusted life years were lost to disease and injury.
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Pega, Frank; Nafradi, Balint; Momen, Natalie; Ujita, Yuka; Streicher, Kai; PrĂĽss-ĂśstĂĽn, Annette; Technical Advisory Group (2021).
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by age, sex, and region. It also introduced the DALY as a new metric to quantify the burden of diseases, injuries, and
2166:"Worldwide burden of disease from exposure to second-hand smoke: a retrospective analysis of data from 192 countries" 208: 17: 2164:Ă–berg, Mattias; Jaakkola, Maritta S.; Woodward, Alistair; Peruga, Armando; PrĂĽss-UstĂĽn, Annette (26 November 2010). 2008:
Thacker, Stephen B; Stroup, Donna F; Carande-Kulis, Vilma; Marks, James S; Roy, Kakoli; Gerberding, Julie L (2006).
2543: 2283: 2218: 800:, and soil-transmitted helminthiases (STHs). These health outcomes are also included as an indicator for achieving 522: 2124: 1015: 2685: 2453: 2144: 482: 419:. Children have the highest death toll, with more than 4 million environmentally-caused deaths yearly, mostly in 2192: 1478: 163:. From 2000 to 2002, the 1990 study was updated to include a more extensive analysis using a framework known as 2649: 927: 801: 605: 533: 148: 44: 31: 1426: 2433: 2263: 1454: 928:"Preventing disease through healthy environments: Towards an estimate of the environmental burden of disease" 831: 781: 669:
The public health impacts of air pollution (annual means of PM10 and ozone), noise pollution, and radiation (
84: 2548: 2473: 2428: 1778: 1388: 2153:"National and regional story (Netherlands) – Environmental burden of disease in Europe: the EBoDE project" 2777: 2699: 2644: 2211: 2106:"Solar ultraviolet radiation: Assessing the environmental burden of disease at national and local levels" 793: 526: 249: 1906:"Open defecation and childhood stunting in India: an ecological analysis of new data from 112 districts" 1186:
Pega, Frank; Nafradi, Balint; Momen, Natalie; Ujita, Yuka; Streicher, Kai; PrĂĽss-ĂśstĂĽn, Annette (2021).
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Most of the diseases resulting from lack of sanitation have a direct relation to poverty. For example,
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Assessing the environmental burden of disease at national and local levels: Introduction and methods
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Burden of non-communicable diseases, worldwide in 2004, measured in disability-adjusted life years
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Burden of all infectious diseases, worldwide in 2004, measured in disability-adjusted life years
2782: 2772: 2734: 2563: 2298: 2177: 1593:"Second-hand smoke: Assessing the environmental burden of disease at national and local levels" 735:
in houses. The percentage can increase to up to 13% due to uncertainty, assuming no threshold.
408: 304: 1004:. WHO Environmental Burden of Disease Series. Vol. 1. Geneva: World Health Organization. 612:, and 13,500,000 days of restricted activity per year, for a total population of 4.7 million. 2692: 2654: 871: 557: 465: 38: 1864:
Burden of disease attributable to unsafe drinking-water, sanitation and hygiene, 2019 update
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Fewtrell, Lorna; PrĂĽss-ĂśstĂĽn, Annette; Bos, Robert; Gore, Fiona; Bartram, Jamie (2007).
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in the case of mortality) Ă— severity (varying from 0 for perfect health to 1 for death)
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Among the investigated factors, long-term PM10 exposure have the greatest impact on
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can help determine which sources of uncertainty affect the final results the most.
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and UV), can be quantified using DALYs. For each disease, a DALY is calculated as:
577: 447: 345: 1997:(Report). Pacific Institute for Studies in Development, Environment, and Security. 1779:"The increasing significance of disease severity in a burden of disease framework" 2483: 2458: 2278: 1930: 1692: 1571:"Quantification of the disease burden attributable to environmental risk factors" 1525: 1212: 820: 768: 751: 728: 678: 631:
This presents the yearly burden, expressed in deaths and DALYs, attributable to:
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DALYs = number of people with the disease Ă— duration of the disease (or loss of
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musculoskeletal diseases (7.5%), and neurological and mental disorders (6.6%)."
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PrĂĽss, Annette; Havelaar, Arie (2001). Fewtrell, Lorna; Bartram, Jamie (eds.).
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In 2002, the WHO estimated the global environmental burden of disease by using
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Wyper GM, Grant I, Fletcher E, Chalmers N, McCartney G, Stockton DL (2020).
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Prüss-Üstün, Annette; Mathers, C.; Corvalán, Carlos; Woodward, A. (2003).
2463: 2288: 1163: 1146: 853: 452: 160: 1866:. Geneva: World Health Organization; 2023. Licence: CC BY-NC-SA 3.0 IGO. 2339: 686: 640: 636: 545: 537: 507: 476: 412: 114:
is defined as the number of deaths and DALYs that can be attributed to
97: 92: 2389: 2203: 1838: 573: 76: 1455:"Standard DALYs (3% discounting, age weights): WHO subregions (YLL)" 1086:
Knol AB, Petersen AC, van der Sluijs JP, Lebret E (1 January 2009).
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Burden of disease attributable to lack of water, sanitation, hygiene
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Dirty Water: Estimated Deaths from Water-Related Diseases 2000–2020
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Kay, David; Prüss, Annette; Corvalán, Carlos (23–24 August 2000).
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Certain environmental factors were excluded from this definition:
2193:"The WHO guides on assessing the environmental burden of disease" 644: 224: 88: 1666:
Wyper GM, Grant I, Fletcher E, McCartney G, Stockton DL (2019).
1085: 1299: 963:"Methodology for assessment of Environmental burden of disease" 760: 600:. For example, the disease burden of outdoor air pollution for 371: 312: 1427:"Standard DALYs (3% discounting, age weights): WHO subregions" 755: 650:
Total environmental burden of disease for the relevant country
763:; 8000–24,000 new cases of cancer; 500–2,500 babies with low 670: 1775: 812:"population-attributable fraction" is estimated to be 100%. 106:
is defined as the number of DALYs that can be attributed to
2163: 1665: 876: 647:. Results are calculated using the exposure-based approach. 216: 1724: 1643: 1633:. National Institute of Public Health and the Environment. 1147:"Environmental pollution and the global burden of disease" 79:, or other indicators. It is often quantified in terms of 628:
Environmental burden of disease for selected risk factors
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The exposure-based approach, which measures exposure via
1969:. Geneva, Switzerland: World Health Organization (WHO). 782:
WASH § WASH-attributable burden of diseases and injuries
1962: 624:. The country estimates were divided into three parts: 187: 2600:
Existential risk from artificial general intelligence
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Programme on quantifying environmental health impacts
1498: 1185: 903:"WHO | Metrics: Disability-Adjusted Life Year (DALY)" 2420:
All-Party Parliamentary Group for Future Generations
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Department of Public Health and Environment (2010).
664: 180: 1479:"What is the environment in the context of health?" 925: 702:Generally, it is not possible to estimate a formal 604:, was calculated by measuring the concentration of 1903: 1839:"Study: Environmental burden of disease in Canada" 1381:"About the Global Burden of Disease (GBD) project" 2137:"Metrics: Population Attributable Fraction (PAF)" 1564: 1562: 993: 991: 989: 987: 985: 983: 981: 979: 2764: 2141:Health statistics and health information systems 2129:Health statistics and health information systems 1836: 1385:Health statistics and health information systems 960: 2185:Water Quality: Guidelines, Standards and Health 2125:"Metrics: Disability-Adjusted Life Year (DALY)" 1400: 1398: 970:ISEE session on environmental burden of disease 926:PrĂĽss-ĂśstĂĽn, Annette; Corvalán, Carlos (2006). 494:Individual behaviors, such as hand-washing and 2439:Centre for Enabling EA Learning & Research 1626:Knol, A.B.; Staatsen, B.A.M. (8 August 2005). 1559: 1462:Disease and injury regional estimates for 2004 1434:Disease and injury regional estimates for 2004 1302:"Disease incidence, prevalence and disability" 976: 830:Worldwide, 1.9 million deaths and 123 million 639:use; outdoor air pollution; and unsafe water, 207:Infectious and parasitic diseases, especially 2728:Superintelligence: Paths, Dangers, Strategies 2219: 2175: 1321: 1251: 1249: 2304:Psychological barriers to effective altruism 1625: 1473: 1471: 1395: 750:Exposure to environmental hazards may cause 430:To measure the environmental health impact, 2143:. World Health Organization. Archived from 1869: 1858: 1856: 1854: 1852: 1850: 1848: 1387:. World Health Organization. Archived from 1375: 1373: 620:step to assist governments in carrying out 2274:Distributional cost-effectiveness analysis 2226: 2212: 1963:Johnston R, PrĂĽss-UstĂĽn A, Wolf J (2019). 1832: 1830: 1769: 1718: 1659: 1653:WHO Environmental Burden of Disease Series 1637: 1421: 1419: 1417: 1415: 1246: 1022: 491:, including exposure to long working hours 397: 2041: 1939: 1929: 1802: 1752: 1742: 1701: 1691: 1621: 1619: 1617: 1542: 1524: 1468: 1449: 1447: 1445: 1443: 1353: 1229: 1211: 1162: 1121: 1111: 1053: 2449:Centre for the Study of Existential Risk 1956: 1845: 1370: 1300:World Health Organization (WHO) (2004). 1081: 1079: 1077: 1075: 1073: 935:Quantifying environmental health impacts 657:Environmental burden by disease category 95:). According to an article published in 51: 43: 2529:Machine Intelligence Research Institute 2064: 1827: 1584: 1412: 956: 954: 952: 950: 948: 946: 944: 14: 2765: 2233: 2113:Environmental burden of disease series 1989: 1614: 1600:Environmental Burden of Disease Series 1486:Environmental burden of disease series 1440: 1144: 867:Climate change and infectious diseases 690:the effects of different assumptions. 2207: 1904:Spears D, Ghosh A, Cumming O (2013). 1783:Scandinavian Journal of Public Health 1070: 2159:. European Environment Agency (EEA). 1837:Wigmore, Cameron (2 November 2007). 941: 442:Air, soil, and water pollution with 202:Percent of all DALYs, US and Canada 199:Percent of all YPLLs, US and Canada 2444:Center for High Impact Philanthropy 1327: 24: 2065:Garrett, Laurie (1 January 2007). 722: 498:due to unsafe water or dirty hands 209:lower respiratory tract infections 165:comparative risk factor assessment 25: 2799: 2103: 665:Implementation and interpretation 2284:Equal consideration of interests 2080:(January/February 2007): 14–38. 2067:"The Challenge of Global Health" 780:This section is an excerpt from 592:, usually expressed in terms of 104:environmental burden of disease 2686:Famine, Affluence, and Morality 2454:Development Media International 2058: 2010:"Measuring the Public's Health" 2001: 1983: 1897: 1492: 1293: 879:(water, sanitation and hygiene) 112:work-related burden of disease 2650:Risk of astronomical suffering 1877:"Call to action on sanitation" 1179: 1145:Briggs, D. (1 December 2003). 1138: 1040:(9995): 743–800. 8 June 2015. 919: 895: 802:Sustainable Development Goal 3 693: 606:atmospheric particulate matter 563: 85:disability-adjusted life years 32:Global Burden of Disease Study 13: 1: 2434:Centre for Effective Altruism 2264:Disability-adjusted life year 1346:10.1016/S0140-6736(12)61729-2 1271:10.1016/S0140-6736(14)61347-7 1046:10.1016/S0140-6736(15)60692-4 888: 196:Percent of all DALYs, Europe 193:Percent of all YPLLs, Europe 142: 134:. According to an article in 2549:Raising for Effective Giving 2474:Future of Humanity Institute 2198:. World Health Organization. 2171:. World Health Organization. 2131:. World Health Organization. 1931:10.1371/journal.pone.0073784 1693:10.1371/journal.pone.0221026 1655:. World Health Organization. 1580:. World Health Organization. 1526:10.1016/j.envint.2021.106595 1488:. World Health Organization. 1464:. World Health Organization. 1436:. World Health Organization. 1408:. World Health Organization. 1309:The Global Burden of Disease 1213:10.1016/j.envint.2021.106595 937:. World Health Organization. 842: 794:acute respiratory infections 415:disease burden is larger in 7: 2700:Living High and Letting Die 2645:Neglected tropical diseases 2157:National and regional story 1602:. World Health Organization 860: 717: 582:dose-response relationships 527:human-caused climate change 250:Neuropsychiatric conditions 81:quality-adjusted life years 10: 2804: 2416:Against Malaria Foundation 2309:Quality-adjusted life year 2096: 2026:10.1177/003335490612100107 1966:Safer Water, Better Health 1406:"Global burden of disease" 825:intestinal worm infections 779: 590:health impact distribution 36: 29: 2752:Effective Altruism Global 2744: 2679:The End of Animal Farming 2663: 2572: 2539:Nuclear Threat Initiative 2424:Animal Charity Evaluators 2403: 2327: 2241: 2187:. London: IWA Publishing. 2117:World Health Organization 1795:10.1177/14034948211024478 1744:10.1186/s13690-019-0385-6 1731:Archives of Public Health 1505:Environment International 1192:Environment International 745: 485:and ecosystem degradation 483:Human-made climate change 475:Agricultural methods and 405:non-communicable diseases 201: 198: 195: 192: 185: 178: 175: 124:World Health Organization 116:occupational risk factors 2707:The Most Good You Can Do 2620:Intensive animal farming 2605:Global catastrophic risk 2479:Future of Life Institute 1151:British Medical Bulletin 149:global burden of disease 37:Not to be confused with 2509:The Good Food Institute 2259:Demandingness objection 1328:Vos, T (Dec 15, 2012). 685:Necessary data include 598:epidemiological studies 411:and cancers, where the 409:cardiovascular diseases 398:Modifiable risk factors 305:Cardiovascular diseases 280:motor vehicle accidents 147:The first study on the 2735:What We Owe the Future 2564:Wild Animal Initiative 2299:Moral circle expansion 1113:10.1186/1476-069X-8-21 466:electromagnetic fields 436:modifiable environment 57: 49: 2693:The Life You Can Save 2655:Wild animal suffering 2147:on November 14, 2008. 2014:Public Health Reports 558:ultraviolet radiation 542:Outdoor air pollution 534:airborne particulates 252:, such as depression 108:environmental factors 55: 47: 39:Environmental disease 2319:Venture philanthropy 1391:on October 27, 2008. 1092:Environmental Health 872:Vectorborne diseases 633:indoor air pollution 548:and hygiene problems 421:developing countries 91:without disease and 2554:Sentience Institute 1922:2013PLoSO...873784S 1684:2019PLoSO..1421026W 1517:2021EnInt.15406595P 1204:2021EnInt.15406595P 1104:2009EnvHe...8...21K 883:Waterborne diseases 836:waterborne diseases 704:confidence interval 610:hospital admissions 584:of the pollutants. 417:developed countries 128:unipolar depression 63:is the impact of a 2778:Health informatics 2635:Malaria prevention 2595:Economic stability 2580:Biotechnology risk 2534:Malaria Consortium 2499:Giving What We Can 2469:Fistula Foundation 2254:Charity assessment 2235:Effective altruism 1164:10.1093/bmb/ldg019 506:Indoor smoke from 496:food contamination 489:Occupational risks 457:ionizing radiation 130:; in 2010, it was 58: 50: 27:Impact of diseases 2760: 2759: 2672:Doing Good Better 2544:Open Philanthropy 2524:Mercy for Animals 2519:The Humane League 2395:Eliezer Yudkowsky 2360:William MacAskill 2335:Sam Bankman-Fried 2249:Aid effectiveness 1990:Gleick P (2002). 1976:978-92-4-151689-1 1340:(9859): 2163–96. 1018:on June 12, 2005. 759:individuals with 712:decision analyses 622:preventive action 552:Second-hand smoke 471:Built environment 448:biological agents 425:infant death rate 395: 394: 176:Disease category 110:. Similarly, the 18:Burden of disease 16:(Redirected from 2795: 2788:Health economics 2714:Practical Ethics 2365:Dustin Moskovitz 2355:Holden Karnofsky 2294:Marginal utility 2228: 2221: 2214: 2205: 2204: 2199: 2197: 2188: 2182: 2172: 2170: 2160: 2148: 2132: 2120: 2115:. Vol. 17. 2110: 2090: 2089: 2071: 2062: 2056: 2055: 2045: 2005: 1999: 1998: 1996: 1987: 1981: 1980: 1960: 1954: 1953: 1943: 1933: 1901: 1895: 1894: 1892: 1890: 1881: 1873: 1867: 1860: 1843: 1842: 1834: 1825: 1824: 1806: 1773: 1767: 1766: 1756: 1746: 1722: 1716: 1715: 1705: 1695: 1663: 1657: 1656: 1650: 1641: 1635: 1634: 1632: 1623: 1612: 1611: 1609: 1607: 1597: 1588: 1582: 1581: 1575: 1566: 1557: 1556: 1546: 1528: 1496: 1490: 1489: 1483: 1475: 1466: 1465: 1459: 1451: 1438: 1437: 1431: 1423: 1410: 1409: 1402: 1393: 1392: 1377: 1368: 1367: 1357: 1325: 1319: 1318: 1316: 1315: 1306: 1297: 1291: 1290: 1265:(9967): 549–62. 1253: 1244: 1243: 1233: 1215: 1183: 1177: 1176: 1166: 1142: 1136: 1135: 1125: 1115: 1083: 1068: 1067: 1057: 1026: 1020: 1019: 1014:. Archived from 995: 974: 973: 967: 958: 939: 938: 932: 923: 917: 916: 914: 913: 899: 757: 752:chronic diseases 578:study population 346:infant mortality 189: 182: 173: 172: 21: 2803: 2802: 2798: 2797: 2796: 2794: 2793: 2792: 2763: 2762: 2761: 2756: 2740: 2659: 2625:Land use reform 2568: 2484:Founders Pledge 2459:Evidence Action 2399: 2323: 2279:Earning to give 2237: 2232: 2202: 2195: 2191: 2180: 2168: 2151: 2135: 2123: 2108: 2099: 2094: 2093: 2074:Foreign Affairs 2069: 2063: 2059: 2006: 2002: 1994: 1988: 1984: 1977: 1961: 1957: 1902: 1898: 1888: 1886: 1879: 1875: 1874: 1870: 1861: 1846: 1835: 1828: 1774: 1770: 1723: 1719: 1678:(8): e0221026. 1664: 1660: 1648: 1642: 1638: 1630: 1624: 1615: 1605: 1603: 1595: 1589: 1585: 1573: 1567: 1560: 1497: 1493: 1481: 1477: 1476: 1469: 1457: 1453: 1452: 1441: 1429: 1425: 1424: 1413: 1404: 1403: 1396: 1379: 1378: 1371: 1326: 1322: 1313: 1311: 1304: 1298: 1294: 1254: 1247: 1184: 1180: 1143: 1139: 1084: 1071: 1028: 1027: 1023: 1012: 996: 977: 965: 959: 942: 930: 924: 920: 911: 909: 901: 900: 896: 891: 863: 845: 840: 839: 821:open defecation 785: 777: 748: 729:the Netherlands 725: 723:The Netherlands 720: 696: 679:life expectancy 667: 617:risk assessment 602:Santiago, Chile 566: 525:(as opposed to 400: 338:Premature birth 186:Percent of all 179:Percent of all 145: 132:lower back pain 67:as measured by 42: 35: 28: 23: 22: 15: 12: 11: 5: 2801: 2791: 2790: 2785: 2780: 2775: 2758: 2757: 2755: 2754: 2748: 2746: 2742: 2741: 2739: 2738: 2731: 2724: 2717: 2710: 2703: 2696: 2689: 2682: 2675: 2667: 2665: 2661: 2660: 2658: 2657: 2652: 2647: 2642: 2640:Mass deworming 2637: 2632: 2630:Life extension 2627: 2622: 2617: 2615:Global poverty 2612: 2607: 2602: 2597: 2592: 2587: 2585:Climate change 2582: 2576: 2574: 2570: 2569: 2567: 2566: 2561: 2559:Unlimit Health 2556: 2551: 2546: 2541: 2536: 2531: 2526: 2521: 2516: 2511: 2506: 2504:Good Food Fund 2501: 2496: 2491: 2486: 2481: 2476: 2471: 2466: 2461: 2456: 2451: 2446: 2441: 2436: 2431: 2426: 2421: 2418: 2413: 2407: 2405: 2401: 2400: 2398: 2397: 2392: 2387: 2382: 2377: 2372: 2367: 2362: 2357: 2352: 2350:Hilary Greaves 2347: 2342: 2337: 2331: 2329: 2325: 2324: 2322: 2321: 2316: 2314:Utilitarianism 2311: 2306: 2301: 2296: 2291: 2286: 2281: 2276: 2271: 2269:Disease burden 2266: 2261: 2256: 2251: 2245: 2243: 2239: 2238: 2231: 2230: 2223: 2216: 2208: 2201: 2200: 2189: 2173: 2161: 2149: 2133: 2121: 2104:Lucas, Robyn. 2100: 2098: 2095: 2092: 2091: 2057: 2000: 1982: 1975: 1955: 1896: 1884:United Nations 1868: 1844: 1826: 1789:(2): 296–300. 1768: 1717: 1658: 1636: 1613: 1583: 1558: 1491: 1467: 1439: 1411: 1394: 1369: 1320: 1292: 1245: 1178: 1137: 1069: 1021: 1011:978-9241546201 1010: 975: 940: 918: 893: 892: 890: 887: 886: 885: 880: 874: 869: 862: 859: 844: 841: 798:undernutrition 786: 778: 776: 773: 747: 744: 724: 721: 719: 716: 695: 692: 683: 682: 666: 663: 662: 661: 658: 655: 651: 648: 629: 565: 562: 561: 560: 554: 549: 543: 540: 530: 523:climate change 519: 514: 511: 500: 499: 492: 486: 480: 473: 468: 459: 450: 399: 396: 393: 392: 389: 386: 383: 380: 377: 374: 368: 367: 364: 361: 358: 355: 352: 349: 334: 333: 330: 327: 324: 321: 318: 315: 307:, principally 301: 300: 297: 294: 291: 288: 285: 282: 272: 271: 268: 265: 262: 259: 256: 253: 246: 245: 242: 239: 236: 233: 230: 227: 204: 203: 200: 197: 194: 191: 184: 177: 144: 141: 69:financial cost 65:health problem 61:Disease burden 26: 9: 6: 4: 3: 2: 2800: 2789: 2786: 2784: 2783:Public health 2781: 2779: 2776: 2774: 2773:Global health 2771: 2770: 2768: 2753: 2750: 2749: 2747: 2743: 2737: 2736: 2732: 2730: 2729: 2725: 2723: 2722: 2721:The Precipice 2718: 2716: 2715: 2711: 2709: 2708: 2704: 2702: 2701: 2697: 2695: 2694: 2690: 2688: 2687: 2683: 2681: 2680: 2676: 2674: 2673: 2669: 2668: 2666: 2662: 2656: 2653: 2651: 2648: 2646: 2643: 2641: 2638: 2636: 2633: 2631: 2628: 2626: 2623: 2621: 2618: 2616: 2613: 2611: 2610:Global health 2608: 2606: 2603: 2601: 2598: 2596: 2593: 2591: 2590:Cultured meat 2588: 2586: 2583: 2581: 2578: 2577: 2575: 2571: 2565: 2562: 2560: 2557: 2555: 2552: 2550: 2547: 2545: 2542: 2540: 2537: 2535: 2532: 2530: 2527: 2525: 2522: 2520: 2517: 2515: 2514:Good Ventures 2512: 2510: 2507: 2505: 2502: 2500: 2497: 2495: 2492: 2490: 2487: 2485: 2482: 2480: 2477: 2475: 2472: 2470: 2467: 2465: 2462: 2460: 2457: 2455: 2452: 2450: 2447: 2445: 2442: 2440: 2437: 2435: 2432: 2430: 2429:Animal Ethics 2427: 2425: 2422: 2419: 2417: 2414: 2412: 2409: 2408: 2406: 2404:Organizations 2402: 2396: 2393: 2391: 2388: 2386: 2383: 2381: 2378: 2376: 2373: 2371: 2368: 2366: 2363: 2361: 2358: 2356: 2353: 2351: 2348: 2346: 2343: 2341: 2338: 2336: 2333: 2332: 2330: 2326: 2320: 2317: 2315: 2312: 2310: 2307: 2305: 2302: 2300: 2297: 2295: 2292: 2290: 2287: 2285: 2282: 2280: 2277: 2275: 2272: 2270: 2267: 2265: 2262: 2260: 2257: 2255: 2252: 2250: 2247: 2246: 2244: 2240: 2236: 2229: 2224: 2222: 2217: 2215: 2210: 2209: 2206: 2194: 2190: 2186: 2179: 2174: 2167: 2162: 2158: 2154: 2150: 2146: 2142: 2138: 2134: 2130: 2126: 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Buffalo. 912:2020-01-02 889:References 699:opinions. 687:prevalence 641:sanitation 637:solid fuel 546:Sanitation 508:solid fuel 477:irrigation 438:included: 413:per capita 407:, such as 340:and other 143:Statistics 136:The Lancet 98:The Lancet 93:disability 2390:Cari Tuna 2086:0015-7120 2034:0033-3549 1889:15 August 1821:235713060 1535:0160-4120 1222:0160-4120 1098:(1): 21. 843:Criticism 594:incidence 574:pollutant 444:chemicals 342:perinatal 157:mortality 153:morbidity 77:morbidity 73:mortality 2494:GiveWell 2375:Toby Ord 2242:Concepts 2052:16416694 1950:24066070 1910:PLOS ONE 1813:34213383 1763:31921418 1737:(3): 3. 1712:31398232 1672:PLOS ONE 1553:34011457 1364:23245607 1279:25468153 1240:34011457 1173:14757707 1132:19400963 1064:26063472 861:See also 790:diarrhea 733:dampness 718:Examples 521:Natural 344:deaths ( 276:Injuries 213:diarrhea 2097:Sources 2043:1497799 1941:3774764 1918:Bibcode 1804:9969303 1754:6950931 1703:6688784 1680:Bibcode 1544:8204267 1513:Bibcode 1355:6350784 1287:1598103 1231:8204267 1200:Bibcode 1123:2684742 1100:Bibcode 1055:4561509 645:hygiene 517:Mercury 479:schemes 225:malaria 89:old age 2745:Events 2084:  2050:  2040:  2032:  1973:  1948:  1938:  1819:  1811:  1801:  1761:  1751:  1710:  1700:  1551:  1541:  1533:  1362:  1352:  1334:Lancet 1285:  1277:  1238:  1228:  1220:  1171:  1130:  1120:  1062:  1052:  1008:  767:; and 761:asthma 746:Canada 654:whole. 643:, and 580:, and 556:Solar 423:. 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Index

Burden of disease
Global Burden of Disease Study
Environmental disease


health problem
financial cost
mortality
morbidity
quality-adjusted life years
disability-adjusted life years
old age
disability
The Lancet
environmental factors
occupational risk factors
World Health Organization
unipolar depression
lower back pain
global burden of disease
morbidity
mortality
risk factors
lower respiratory tract infections
diarrhea
AIDS
tuberculosis
malaria
Neuropsychiatric conditions
Injuries

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