uri,href,identifier,attrs.Abstract,"attrs.Alternate Journal",attrs.Author,"attrs.Author Address",attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Keywords,attrs.Language,attrs.Notes,attrs.Pages,attrs.Title,attrs.URL,attrs.Volume,attrs.Year,attrs.\.reference_type,attrs._chapter,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/13baa2f8-b25e-4372-91c8-3c76e0c8dc07,https://data.globalchange.gov/reference/13baa2f8-b25e-4372-91c8-3c76e0c8dc07,13baa2f8-b25e-4372-91c8-3c76e0c8dc07,"Background: The adverse respiratory effects of ground-level ozone are well established. Ozone is the air pollutant most consistently projected to increase under future climate change.; Purpose: To project future pediatric asthma emergency department visits associated with ground-level ozone changes, comparing 1990s to 2020s.; Methods: This study assessed future numbers of asthma emergency department visits for children aged 0-17 years using (1) baseline New York City metropolitan area emergency department rates; (2) a dose-response relationship between ozone levels and pediatric asthma emergency department visits; and (3) projected daily 8-hour maximum ozone concentrations for the 2020s as simulated by a global-to-regional climate change and atmospheric chemistry model. Sensitivity analyses included population projections and ozone precursor changes. This analysis occurred in 2010.; Results: In this model, climate change could cause an increase in regional summer ozone-related asthma emergency department visits for children aged 0-17 years of 7.3% across the New York City metropolitan region by the 2020s. This effect diminished with inclusion of ozone precursor changes. When population growth is included, the projections of morbidity related to ozone are even larger.; Conclusions: The results of this analysis demonstrate that the use of regional climate and atmospheric chemistry models make possible the projection of local climate change health effects for specific age groups and specific disease outcomes, such as emergency department visits for asthma. Efforts should be made to improve on this type of modeling to inform local and wider-scale climate change mitigation and adaptation policy. (Am J Prev Med 2011; 41(3): 251-257) (C) 2011 American Journal of Preventive Medicine","Am J Prev Med","Sheffield, Perry E.; Knowlton, Kim; Carr, Jessie L.; Kinney, Patrick L.","Sheffield, PE; Mt Sinai Sch Med, Dept Pediat, Box 1057, New York, NY 10029 USA; Mt Sinai Sch Med, Dept Pediat, Box 1057, New York, NY 10029 USA; Mt Sinai Sch Med, Dept Pediat, New York, NY 10029 USA; Mt Sinai Sch Med, Dept Prevent Med, New York, NY 10029 USA; Nat Resources Def Council, New York, NY USA; Columbia Climate & Hlth Program, New York, NY USA; Columbia Univ, Mailman Sch Publ Hlth, Dept Environm Hlth Sci, New York, NY USA",10.1016/j.amepre.2011.04.017,Sep,0749-3797,3,"American Journal of Preventive Medicine","emergency-department visits; ambient air-pollution; respiratory symptoms; human health; childrens health; united-states; room visits; quality; association; atlanta",English,"808TW; Times Cited:1; Cited References Count:53",251-257,"Modeling of regional climate change effects on ground-level ozone and childhood asthma",http://download.journals.elsevierhealth.com/pdfs/journals/0749-3797/PIIS0749379711003461.pdf,41,2011,0,"[""Ch. 9: Human Health FINAL"",""Ch. 16: Northeast FINAL"",""Overview""]",2833,13baa2f8-b25e-4372-91c8-3c76e0c8dc07,"Journal Article",/article/10.1016/j.amepre.2011.04.017
/reference/13d048c9-77d7-4bbb-beeb-ee49842d2719,https://data.globalchange.gov/reference/13d048c9-77d7-4bbb-beeb-ee49842d2719,13d048c9-77d7-4bbb-beeb-ee49842d2719,"Background Extreme events (e.g. flooding) threaten critical infrastructure including power supplies. Many interlinked systems in the modern world depend on a reliable power supply to function effectively. The health sector is no exception, but the impact of power outages on health is poorly understood. Greater understanding is essential so that adverse health impacts can be prevented and/or mitigated. Methods We searched Medline, CINAHL and Scopus for papers about the health impacts of power outages during extreme events published in 2011-2012. A thematic analysis was undertaken on the extracted information. The Public Health England Extreme Events Bulletins between 01/01/2013 - 31/03/2013 were used to identify extreme events that led to power outages during this three-month period. Results We identified 20 relevant articles. Power outages were found to impact health at many levels within diverse settings. Recurrent themes included the difficulties of accessing healthcare, maintaining frontline services and the challenges of community healthcare. We identified 52 power outages in 19 countries that were the direct consequence of extreme events during the first three months of 2013. Conclusions To our knowledge, this is the first review of the health impacts of power outages. We found the current evidence and knowledge base to be poor. With scientific consensus predicting an increase in the frequency and magnitude of extreme events due to climate change, the gaps in knowledge need to be addressed in order to mitigate the impact of power outages on global health.",,"Klinger, C.; Landeg, O.; Murray, V.","Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK. Extreme Events and Health Protection, Public Health England, London, UK.",10.1371/currents.dis.04eb1dc5e73dd1377e05a10e9edde673,,2157-3999,,"PLOS Currents: Disasters",,eng,"2157-3999 Klinger, Chaamala Landeg, Owen Murray, Virginia Journal Article United States PLoS Curr. 2014 Jan 2;6. pii: ecurrents.dis.04eb1dc5e73dd1377e05a10e9edde673. doi: 10.1371/currents.dis.04eb1dc5e73dd1377e05a10e9edde673.",,"Power outages, extreme events and health: A systematic review of the literature from 2011-2012",http://currents.plos.org/disasters/index.html%3Fp=10801.html,6,2014,0,,18991,13d048c9-77d7-4bbb-beeb-ee49842d2719,"Journal Article",/article/10.1371/currents.dis.04eb1dc5e73dd1377e05a10e9edde673
/reference/14835bc7-3df6-4fac-9e9a-2863c09e800a,https://data.globalchange.gov/reference/14835bc7-3df6-4fac-9e9a-2863c09e800a,14835bc7-3df6-4fac-9e9a-2863c09e800a,,,"Beggs, P. J.",,10.1111/j.1365-2222.2004.02061.x,,1365-2222,10,"Clinical & Experimental Allergy",,,"Ch3,6,7",1507-1513,"Impacts of climate change on aeroallergens: Past and future",,34,2004,0,"Ch3,6,7",16476,14835bc7-3df6-4fac-9e9a-2863c09e800a,"Journal Article",/article/10.1111/j.1365-2222.2004.02061.x
/reference/1497a2db-b62f-4bcb-8e53-f22692c416b4,https://data.globalchange.gov/reference/1497a2db-b62f-4bcb-8e53-f22692c416b4,1497a2db-b62f-4bcb-8e53-f22692c416b4,,,"ISSC and UNESCO",,10.1787/9789264203419-en,,,,,,,,609,"World Social Science Report 2013: Changing Global Environments",http://www.worldsocialscience.org/documents/wss-report-2013-full-text.pdf,,2013,10,,18102,1497a2db-b62f-4bcb-8e53-f22692c416b4,Report,/report/unesco-globalenvironments-2013
/reference/14d95340-cebf-4716-9472-a7c1bb5d9823,https://data.globalchange.gov/reference/14d95340-cebf-4716-9472-a7c1bb5d9823,14d95340-cebf-4716-9472-a7c1bb5d9823,,,"Johnson, Nicole B.; Hayes, Locola D.; Brown, Kathryn; Hoo, Elizabeth C.; Ethier, Kathleen A.",,,,2380-8942,,"Morbidity and Mortality Weekly Report - Supplements",,,,3-27,"CDC National Health Report: Leading Causes of Morbidity and Mortality and Associated Behavioral Risk and Protective Factors - United States, 2005-2013",http://www.cdc.gov/mmwr/preview/mmwrhtml/su6304a2.htm,63,2014,0,,19145,14d95340-cebf-4716-9472-a7c1bb5d9823,"Journal Article",/article/pmid-25356673
/reference/14e7930d-648f-4a7a-a41d-2eb61b7f9894,https://data.globalchange.gov/reference/14e7930d-648f-4a7a-a41d-2eb61b7f9894,14e7930d-648f-4a7a-a41d-2eb61b7f9894,,,"Barreca, Alan I.",,10.1016/j.jeem.2011.07.004,,1096-0449,1,"Journal of Environmental Economics and Management",,,,19-34,"Climate change, humidity, and mortality in the United States",,63,2012,0,Ch2,17586,14e7930d-648f-4a7a-a41d-2eb61b7f9894,"Journal Article",/article/10.1016/j.jeem.2011.07.004
/reference/15012d21-a3e9-41fe-93b6-65e2fba81f10,https://data.globalchange.gov/reference/15012d21-a3e9-41fe-93b6-65e2fba81f10,15012d21-a3e9-41fe-93b6-65e2fba81f10,,,"Moerlein, Katie J.; Carothers, Courtney",,10.5751/es-04543-170110,,1708-3087,1,"Ecology and Society",,,,10,"Total environment of change: Impacts of climate change and social transitions on subsistence fisheries in northwest Alaska",,17,2012,0,,18842,15012d21-a3e9-41fe-93b6-65e2fba81f10,"Journal Article",/article/10.5751/es-04543-170110
/reference/15400693-ec18-4d9d-9fb0-fb6e833ebbe3,https://data.globalchange.gov/reference/15400693-ec18-4d9d-9fb0-fb6e833ebbe3,15400693-ec18-4d9d-9fb0-fb6e833ebbe3,,,"Yoder, Jonathan S.; Hlavsa, Michele C.; Craun, Gunther F.; Hill, Vincent; Roberts, Virginia; Yu, Patricia A.; Hicks, Lauri A.; Alexander, Nciole T.; Calderon, Rebecca L.; Roy, Sharon L.; Beach, Michael J.",,,,1545-8636,9,"Morbidity and Mortality Weekly Report - Surveillance Summaries",,,,1-29,"Surveillance for waterborne disease and outbreaks associated with recreational water use and other aquatic facility-associated health events--United States, 2005-2006",http://www.cdc.gov/mmWR/preview/mmwrhtml/ss5709a1.htm,57,2008,0,,18868,15400693-ec18-4d9d-9fb0-fb6e833ebbe3,"Journal Article",/article/pmid-18784642
/reference/159d09fd-a7de-470d-9e15-375718243164,https://data.globalchange.gov/reference/159d09fd-a7de-470d-9e15-375718243164,159d09fd-a7de-470d-9e15-375718243164,"Ozone exposure is associated with negative health impacts, including premature mortality. Observations and modeling studies demonstrate that emissions from one continent influence ozone air quality over other continents. We estimate the premature mortalities avoided from surface ozone decreases obtained via combined 20% reductions of anthropogenic nitrogen oxide, nonmethane volatile organic compound, and carbon monoxide emissions in North America (NA), EastAsia (EA), South Asia (SA), and Europe (EU). We use estimates of ozone responses to these emission changes from several atmospheric chemical transportmodels combined with a health impactfunction. Foreign emission reductions contribute approximately 30%, 30%, 20%, and >50% of the mortalities avoided by reducing precursor emissions in all regions together in NA, EA, SA and EU, respectively. Reducing emissions in NA and EU avoids more mortalities outside the source region than within, owing in part to larger populations in foreign regions. Lowering the global methane abundance by 20% reduces mortality mostin SA,followed by EU, EA, and NA. For some source-receptor pairs, there is greater uncertainty in our estimated avoided mortalities associated with the modeled ozone responses to emission changes than with the health impact function parameters.",,"Anenberg, Susan Casper; West, J. Jason; Fiore, Arlene M.; Jaffe, Daniel A.; Prather, Michael J.; Bergmann, Daniel; Cuvelier, Kees; Dentener, Frank J.; Duncan, Bryan N.; Gauss, Michael; Hess, Peter; Jonson, Jan Eiof; Lupu, Alexandru; MacKenzie, Ian A.; Marmer, Elina; Park, Rokjin J.; Sanderson, Michael G.; Schultz, Martin; Shindell, Drew T.; Szopa, Sophie; Vivanco, Marta Garcia; Wild, Oliver; Zeng, Guang",,10.1021/es900518z,"Sep 1",1520-5851,17,"Environmental Science & Technology","Air Pollutants/analysis/ toxicity; Asia/epidemiology; Computer Simulation; Environmental Exposure/ analysis/ statistics & numerical data; Europe/epidemiology; Heart Diseases/mortality; Humans; Lung Diseases/mortality; Models, Theoretical; Mortality/ trends; North America/epidemiology; Ozone/analysis/ toxicity; Population Density; Seasons",eng,"Anenberg, Susan Casper West, I Jason Fiore, Arlene M Jaffe, Daniel A Prather, Michael J Bergmann, Daniel Cuvelier, Kees Dentener, Frank J Duncan, Bryan N Gauss, Michael Hess, Peter Jonson, Jan Eiof Lupu, Alexandru Mackenzie, Ian A Marmer, Elina Park, Rokjin J Sanderson, Michael G Schultz, Martin Shindell, Drew T Szopa, Sophie Vivanco, Marta Garcia Wild, Oliver Zeng, Guang Research Support, Non-U.S. Gov't United States Environ Sci Technol. 2009 Sep 1;43(17):6482-7.",6482-6287,"Intercontinental impacts of ozone pollution on human mortality",,43,2009,0,,6132,159d09fd-a7de-470d-9e15-375718243164,"Journal Article",/article/10.1021/es900518z
/reference/15b8a671-4186-4cdb-aa80-d9e7012840e5,https://data.globalchange.gov/reference/15b8a671-4186-4cdb-aa80-d9e7012840e5,15b8a671-4186-4cdb-aa80-d9e7012840e5,,,"Norris, Fran H.; Sherrieb, Kathleen; Galea, Sandro",,10.1037/a0020195,,0090-5550,3,"Rehabilitation Psychology",,,,221-230,"Prevalence and consequences of disaster-related illness and injury from Hurricane Ike",,55,2010,0,Ch8,16369,15b8a671-4186-4cdb-aa80-d9e7012840e5,"Journal Article",/article/10.1037/a0020195
/reference/15ce66a5-76bd-4c13-8e99-4c08a44380c7,https://data.globalchange.gov/reference/15ce66a5-76bd-4c13-8e99-4c08a44380c7,15ce66a5-76bd-4c13-8e99-4c08a44380c7,,,,,,,,,,,,,,"Climate Change and Infrastructure, Urban Systems, and Vulnerabilities. Technical Report for the U.S. Department of Energy in Support of the National Climate Assessment",http://www.cakex.org/sites/default/files/documents/Climate%20ChangeAndInfrastructureUrbanSystemsAndVulnerabilities.pdf,,2014,9,,18604,15ce66a5-76bd-4c13-8e99-4c08a44380c7,Book,/report/ornl-climchinfrastructure-2012
/reference/15ed801a-daa7-4cea-9a80-38a4c2a787ad,https://data.globalchange.gov/reference/15ed801a-daa7-4cea-9a80-38a4c2a787ad,15ed801a-daa7-4cea-9a80-38a4c2a787ad,,,"Thyng, Kristen M.; Hetland, Robert D.; Ogle, Marcus T.; Zhang, Xiaoqian; Chen, Fei; Campbell, Lisa",,10.1215/21573689-2417719,,2157-3689,1,"Limnology and Oceanography: Fluids and Environments","harmful algal bloom; regional ocean modeling system; particle tracking; Gulf of Mexico; algal bloom",,,269-278,"Origins of Karenia brevis harmful algal blooms along the Texas coast",,3,2013,0,,18983,15ed801a-daa7-4cea-9a80-38a4c2a787ad,"Journal Article",/article/10.1215/21573689-2417719
/reference/1617ae90-36e2-48f5-b5ef-f5fb1aafb399,https://data.globalchange.gov/reference/1617ae90-36e2-48f5-b5ef-f5fb1aafb399,1617ae90-36e2-48f5-b5ef-f5fb1aafb399,,,"Maida, Carl A; Gordon, Norma S; Steinberg, Alan; Gordon, Gail",,10.1007/BF00975765,1989/01/01,1573-6598,1,"Journal of Traumatic Stress","disaster; Baldwin Hills fire; post-traumatic stress; depression; loss",English,,37-48,"Psychosocial impact of disasters: Victims of the Baldwin Hills fire",,2,1989,0,,18129,1617ae90-36e2-48f5-b5ef-f5fb1aafb399,"Journal Article",/article/10.1007/BF00975765
/reference/169b6908-d301-4da7-aeee-43cce986c86c,https://data.globalchange.gov/reference/169b6908-d301-4da7-aeee-43cce986c86c,169b6908-d301-4da7-aeee-43cce986c86c,,,"Reser, J.P.; Bradley, G.L.; Ellul, M.C.",,,,,,,,,,1-34,"Coping with climate change: Bringing psychological adaptation in from the cold",,,2012,7,,18166,169b6908-d301-4da7-aeee-43cce986c86c,"Book Section",/book/3c7bbde2-e878-4456-a472-87e06b13ff81
/reference/17380d26-bc60-4dcd-be46-9bf40616bfbd,https://data.globalchange.gov/reference/17380d26-bc60-4dcd-be46-9bf40616bfbd,17380d26-bc60-4dcd-be46-9bf40616bfbd,,,"Olson, K. R.; Morton, L. W.",,10.2489/jswc.69.2.31A,,1941-3300,2,"Journal of Soil and Water Conservation",,,,31A-35A,"Dredging of the fractured bedrock-lined Mississippi River Channel at Thebes, Illinois",,69,2014,0,Ch6,17929,17380d26-bc60-4dcd-be46-9bf40616bfbd,"Journal Article",/article/10.2489/jswc.69.2.31A
/reference/175a363a-d9ca-48be-9c2e-b3b0f8c136df,https://data.globalchange.gov/reference/175a363a-d9ca-48be-9c2e-b3b0f8c136df,175a363a-d9ca-48be-9c2e-b3b0f8c136df,,,"Zimmerman, R.; Restrepo, C.E.; Nagorsky, B.; Culpen, A.M.",,,,,,,,,,38-40,"Vulnerability of the elderly during natural hazard events",http://create.usc.edu/sites/default/files/publications//vulnerabilityoftheelderlyduringnaturalhazardevents.pdf,,,47,,18295,175a363a-d9ca-48be-9c2e-b3b0f8c136df,"Conference Paper",/generic/a357a527-942f-42fd-8a01-245805ae8836
/reference/176b5759-b07b-4209-b8ff-8c55768c6aee,https://data.globalchange.gov/reference/176b5759-b07b-4209-b8ff-8c55768c6aee,176b5759-b07b-4209-b8ff-8c55768c6aee,,,"Ostro, B.
Rauch, S.
Green, R.
Malig, B.
Basu, R.",,10.1093/aje/kwq231,,0002-9262,9,"American Journal of Epidemiology",,,,1053-1061,"The effects of temperature and use of air conditioning on hospitalizations",http://aje.oxfordjournals.org/content/172/9/1053.full.pdf+html,172,2010,0,"[""Ch. 9: Human Health FINAL"",""Appendix 1: Process FINAL""]",2381,176b5759-b07b-4209-b8ff-8c55768c6aee,"Journal Article",/article/10.1093/aje/kwq231
/reference/17781ee0-ed89-412d-b192-ed59ee650740,https://data.globalchange.gov/reference/17781ee0-ed89-412d-b192-ed59ee650740,17781ee0-ed89-412d-b192-ed59ee650740,,,"Cannon, Susan H.; DeGraff, Jerry",,10.1007/978-3-540-69970-5_9,,,,,,,,177-190,"The increasing wildfire and post-fire debris-flow threat in western USA, and implications for consequences of climate change",,II,2009,7,Ch7,17768,17781ee0-ed89-412d-b192-ed59ee650740,"Book Section",/book/1dde23e6-bb76-44c5-9af1-2516d08ab8d9
/reference/17cd07d1-5250-4980-8b98-689b4caf0bb1,https://data.globalchange.gov/reference/17cd07d1-5250-4980-8b98-689b4caf0bb1,17cd07d1-5250-4980-8b98-689b4caf0bb1,"BACKGROUND: The purpose of this study was to assess the effects of extreme ambient temperature on hospital emergency room visits (ER) related to mental and behavioral illnesses in Toronto, Canada. METHODS: A time series study was conducted using health and climatic data from 2002 to 2010 in Toronto, Canada. Relative risks (RRs) for increases in emergency room (ER) visits were estimated for specific mental and behavioral diseases (MBD) after exposure to hot and cold temperatures while using the 50th percentile of the daily mean temperature as reference. Poisson regression models using a distributed lag non-linear model (DLNM) were used. We adjusted for the effects of seasonality, humidity, day-of-the-week and outdoor air pollutants. RESULTS: We found a strong association between MBD ER visits and mean daily temperature at 28 degrees C. The association was strongest within a period of 0-4 days for exposure to hot temperatures. A 29% (RR=1.29, 95% CI 1.09-1.53) increase in MBD ER vists was observed over a cumulative period of 7 days after exposure to high ambient temperature (99th percentile vs. 50th percentile). Similar associations were reported for schizophrenia, mood, and neurotic disorers. No significant associations with cold temperatures were reported. LIMITATIONS: The ecological nature and the fact that only one city was investigated. CONCLUSIONS: Our findings suggest that extreme temperature poses a risk to the health and wellbeing for individuals with mental and behavior illnesses. Patient management and education may need to be improved as extreme temperatures may become more prevalent with climate change.",,"Wang, X.; Lavigne, E.; Ouellette-kuntz, H.; Chen, B. E.",,10.1016/j.jad.2013.10.042,Feb,0165-0327,,"Journal of Affective Disorders","Adolescent; Adult; Canada; Child; Child, Preschool; Cities; Emergency Service, Hospital/*utilization; Extreme Cold/*adverse effects; Extreme Heat/*adverse effects; Female; Humans; Infant; Male; Mental Disorders/*therapy; Middle Aged; Nonlinear Dynamics; Poisson Distribution; Regression Analysis; Risk; Young Adult; Distributed lag non-linear modeling (DLNM); Emergency room admissions; Mental and behavior disorders; Temperature",eng,"1573-2517 Wang, Xiang Lavigne, Eric Ouellette-kuntz, Helene Chen, Bingshu E Journal Article Research Support, Non-U.S. Gov't Netherlands J Affect Disord. 2014 Feb;155:154-61. doi: 10.1016/j.jad.2013.10.042. Epub 2013 Nov 6.",154-161,"Acute impacts of extreme temperature exposure on emergency room admissions related to mental and behavior disorders in Toronto, Canada",,155,2014,0,,18200,17cd07d1-5250-4980-8b98-689b4caf0bb1,"Journal Article",/article/10.1016/j.jad.2013.10.042
/reference/18086e5f-ea9f-4547-b371-40b9f0d0d203,https://data.globalchange.gov/reference/18086e5f-ea9f-4547-b371-40b9f0d0d203,18086e5f-ea9f-4547-b371-40b9f0d0d203,"Acute diarrhoeal diseases continue to be a major health problem in certain underprivileged populations in the United States, including native Americans living in reservations. To describe the features of patients with diarrhoeal diseases requiring medical care, those attending the medical facilities of the Fort Apache Indian Reservation, Whiteriver, Arizona, were studied during 1981-1985. Clinical and aetiological information was obtained on 535 patients which constitute a 20% sample of those attending the outpatient clinic and all 386 patients who required 550 hospitalizations. Rotavirus, enterotoxigenic Escherichia coli, and Shigella were the most common aetiologic agents, a pattern similar to that seen in the developing countries. The clinical features of diarrhoeal illness and the frequent associated occurrence of acute respiratory symptoms, however, were remarkably similar, regardless of aetiology.",,"Sack, R. B.; Santosham, M.; Reid, R.; Black, R.; Croll, J.; Yolken, R.; Aurelian, L.; Wolff, M.; Chan, E.; Garrett, S.; Froehlich, J.",,,Mar,,1,"Journal of Diarrhoeal Diseases Research","Acute Disease; Age Distribution; Ambulatory Care/statistics & numerical data; Arizona/epidemiology; Child, Preschool; Diarrhea, Infantile/epidemiology/*microbiology/physiopathology; Feces/microbiology; Female; Hospitalization/statistics & numerical data; Humans; Incidence; *Indians, North American; Infant; Infant, Newborn; Male; Respiratory Tract Infections/epidemiology/microbiology/physiopathology; Risk Factors; Sex Distribution",eng,"Sack, R B Santosham, M Reid, R Black, R Croll, J Yolken, R Aurelian, L Wolff, M Chan, E Garrett, S Journal Article Bangladesh J Diarrhoeal Dis Res. 1995 Mar;13(1):12-7.",12-17,"Diarrhoeal diseases in the White Mountain Apaches: Clinical studies",,13,1995,0,,19090,18086e5f-ea9f-4547-b371-40b9f0d0d203,"Journal Article",/article/pmid-7657960