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07245aam a2200553Ii 4500 001 82A8D64CFB5411E7891C5F6197128E48 003 SILO 005 20180117010240 008 160512s2016 sz ab b 000 0 eng d 020 $a 9241565195 020 $a 9789241565196 035 $a (OCoLC)949869444 040 $a BTCTA $b eng $c BTCTA $d BDX $d YDXCP $d CUX $d IXA $d OCLCF $d YDX $d EYM $d NUI $d UtOrBLW $d SILO 050 4 $a RA565 $b .P78 2016 060 4 $a WA 30.5 082 04 $a 616.98 $2 23 100 1 $a PruÌss-UÌstuÌn, Annette, $e author. $0 http://id.loc.gov/authorities/names/no99074408 245 10 $a Preventing disease through healthy environments : $b a global assessment of the burden of disease from environmental risks / $c A PruÌss-UstuÌn, J Wolf, C CorvalaÌn, R Bos and M Neira. 250 $a [Second edition]. 264 1 $a Geneva, Switzerland : $b World Health Organization, $c [2016] 300 $a xxiii, 147 pages : $b color illustrations, color maps ; $c 30 cm 504 $a Includes bibliographical references (pages 124-143). 505 00 $t Reducing the burden of unhealthy environments. $t Preface -- $t Executive summary -- $g 5. $t Introduction -- $g 2. $t Methods: Estimating the environmental burden of disease -- $t The environment: A contextual determinant of health -- $t The link with social determinants of health -- $t What is meant by the population attributable fraction of a risk factor? -- $t Estimating the population attributable fraction -- $t Comparative risk assessment -- $t Calculations based on limited epidemiological data -- $t Disease transmission pathway -- $t Expert survey -- $t Combining risk factors for individual diseases -- $t Estimating the burden of disease attributable to the environment -- $t Estimating uncertainties -- $g 3. $t Results: A systematic analysis of fractions attributable to the environment, by disease Infectious and parasitic diseases -- $t Infectious and parasitic diseases -- $t Respiratory infections -- $t Diarrhoeal diseases -- $t Intestinal nematode infections -- $t Malaria -- $t Trachoma -- $t Schistosomiasis -- $t Chagas disease -- $t Lymphatic filariasis -- $t Onchocerciasis -- $t Leishmaniasis -- $t Dengue -- $t Japanese encephalitis -- $t HIV/AIDS -- $t Sexually transmitted diseases -- $t Hepatitis B and C -- $t Tuberculosis -- $t Other infectious and parasitic diseases -- $t Neonatal and nutritional conditions -- $t Neonatal conditions -- $t Protein-energy malnutrition -- $t Noncommunicable diseases -- $t Cancers -- $t Mental, behavioural and neurological disorders -- $t Cataracts -- $t Hearing loss -- $t Ischaemic heart disease -- $t Stroke -- $t Chronic obstructive pulmonary disease -- $t Asthma -- $t Musculoskeletal diseases -- $t Congenital anomalies -- $t Other noncommunicable diseases -- $t Risks factors for noncommunicable diseases from other areas but related to the environment -- $t Overweight and obesity -- $t Physical inactivity -- $t Unintentional injuries -- $t Road traffic accidents -- $t Unintentional poisonings -- $t Falls -- $t Fires, heat and hot substances -- $t Drownings -- $t Other unintentional injuries -- $t Intentional injuries -- $t Self-harm -- $t Interpersonal violence -- $t The link between the environment and demographics -- $t Global results of the analysis by disease and population subgroups -- $t Disease specific results -- $t Age differences -- $t Gender differences -- $t Regional and country differences -- $t Trends -- $g 4. $t Discussion: Leveraging environment-health links -- $t Environment, health and the Sustainable Development Goals -- $t Strengths and weaknesses of the analysis -- $g 5. $t Conclusion: Towards healthy environments -- $t Key findings -- $t Reducing the burden of unhealthy environments. 505 00 $t Photo credits. $g Annex 3.3. $t WHO Member States and country groupings by income region -- $g Annex 2. $t Results tables -- $g Annex 3:. $t Technical annex on methods -- $g Annex 3.1. $t Calculation of population attributable fractions -- $g Annex 3.2. $t Combination of risk factors for one disease: Additional information -- $g Annex 3.3. $t Additional information on estimation of PAFs for selected diseases -- $t References -- $t Acknowledgements -- $t Photo credits. 520 $a "The main message emerging from this new comprehensive global assessment is that premature death and disease can be prevented through healthier environments--and to a significant degree. Analysing the latest data on the environment-disease nexus and the devastating impact of environmental hazards and risks on global health, backed up by expert opinion, this report covers more than 130 diseases and injuries. The analysis shows that 23% of global deaths (and 26% of deaths among children under five) are due to modifiable environmental factors--and therefore can be prevented. Stroke, ischaemic heart disease, diarrhoea and cancers head the list. People in low-income countries bear the greatest disease burden, with the exception of noncommunicable diseases. The report's unequivocal evidence should add impetus to coordinating global efforts to promote healthy environments--often through well-established, cost-effective interventions. This analysis will inform those who want to better understand the transformational spirit of the Sustainable Development Goals agreed by Heads of State in September 2015. The results of the analysis underscore the pressing importance of stronger intersectoral action to create healthier environments that will contribute to sustainably improving the lives of millions around the world."--Page 4 of cover. 650 0 $a Environmental health. $0 http://id.loc.gov/authorities/subjects/sh85044173 650 0 $a Environmental monitoring. $0 http://id.loc.gov/authorities/subjects/sh85044194 650 0 $a Health risk assessment. $0 http://id.loc.gov/authorities/subjects/sh85059598 650 7 $a Environmental health. $2 fast $0 (OCoLC)fst00912999 650 7 $a Environmental monitoring. $2 fast $0 (OCoLC)fst00913214 650 7 $a Health risk assessment. $2 fast $0 (OCoLC)fst00953250 650 12 $a Environmental Health $x trends. $0 https://id.nlm.nih.gov/mesh/D004782Q000639 650 22 $a Communicable Disease Control. $0 https://id.nlm.nih.gov/mesh/D003140 650 22 $a Environmental Monitoring. $0 https://id.nlm.nih.gov/mesh/D004784 650 22 $a Global Health $x trends. $0 https://id.nlm.nih.gov/mesh/D014943Q000639 650 22 $a Risk Assessment. $0 https://id.nlm.nih.gov/mesh/D018570 650 22 $a Risk Factors. $0 https://id.nlm.nih.gov/mesh/D012307 655 2 $a Statistics. $0 https://id.nlm.nih.gov/mesh/D020500 655 2 $a Tables. $0 https://id.nlm.nih.gov/mesh/D020501 700 1 $a Wolf, J., $e author. $0 http://id.loc.gov/authorities/names/n88020055 700 1 $a CorvalaÌn, C. $q (Carlos), $e author. $0 http://id.loc.gov/authorities/names/n96802304 700 1 $a Bos, Robert, $e author. $0 http://id.loc.gov/authorities/names/no2003113881 700 1 $a Neira, M., $e author. 710 2 $a World Health Organization, $e publisher. $0 http://id.loc.gov/authorities/names/n79059041 710 2 $a World Health Organization. $b Department of Public Health, Environmental and Social Determinants of Health, $e issuing body. $0 http://id.loc.gov/authorities/names/no2015130402 720 $a World Health Organization $4 cor 941 $a 1 952 $l OVUX522 $d 20180117013806.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=82A8D64CFB5411E7891C5F6197128E48Initiate Another SILO Locator Search