uri,href,identifier,attrs.Abstract,attrs.Author,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Keywords,attrs.PMID,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/a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,https://data.globalchange.gov/reference/a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,"Heat illness during practice or competition is a leading cause of death and disability among U.S. high school athletes. An estimated 7.5 million students participate in high school sports annually. To examine the incidence and characteristics of heat illness among high school athletes, CDC analyzed data from the National High School Sports-Related Injury Surveillance Study for the period 2005-2009, which includes the 2005-06, 2006-07, 2007-08 and 2008-09 school years. During 2005-2009, the 100 schools sampled reported a total of 118 heat illnesses among high school athletes resulting in >or=1 days of time lost from athletic activity (i.e., time-loss heat illness), a rate of 1.6 per 100,000 athlete-exposures and an average of 29.5 time-loss heat illnesses per school year. The average corresponds to a weighted average annual estimate of 9,237 illnesses nationwide. The highest rate of time-loss heat illness was among football players, 4.5 per 100,000 athlete-exposures, a rate 10 times higher than the average rate (0.4) for the eight other sports. Time-loss heat illnesses occurred most frequently during August (66.3%) and while practicing or playing football (70.7%). No deaths were reported. Consistent with guidelines from the National Athletic Trainers' Association (NATA), to reduce the risk for heat illness, high school athletic programs should implement heat-acclimatization guidelines (e.g., set limits on summer practice duration and intensity). All athletes, coaches, athletic trainers, and parents/guardians should be aware of the risk factors for heat illness, follow recommended strategies, and be prepared to respond quickly to symptoms of illness. Coaches also should continue to stress to their athletes the importance of maintaining proper hydration before, during, and after sports activities.","Gilchrist, J.; Haileyesus, T.; Murphy, M.; Comstock, R.D.; Collins, C.; McIlvain, N.; Yard, E.","Aug 20",1545-861X,32,"Morbidity and Mortality Weekly Report","Absenteeism; Acclimatization; Athletes/*statistics & numerical data; Dehydration/epidemiology; Female; Guidelines as Topic; Heat Stress Disorders/*epidemiology; Hot Temperature; Humans; Incidence; Male; *Population Surveillance; *Sports; Students/*statistics & numerical data; United States/epidemiology",20724966,1009-1013,"Heat illness among high school athletes - United States, 2005-2009",http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5932a1.htm,59,2010,0,Ch9,16391,a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,"Journal Article",/article/pmid-20724966
/reference/a522cfd0-4f80-4152-b63b-fe5104161303,https://data.globalchange.gov/reference/a522cfd0-4f80-4152-b63b-fe5104161303,a522cfd0-4f80-4152-b63b-fe5104161303,,"Cheruvelil, J.J.; Barton, B.",,,,,,,12,"Adapting to the Effects of Climate Change on Wild Rice",,,2013,10,,18241,a522cfd0-4f80-4152-b63b-fe5104161303,Report,/report/adapting-effects-climate-change-on-wild-rice
/reference/a52668d8-0468-4b90-9b62-c32a86cae478,https://data.globalchange.gov/reference/a52668d8-0468-4b90-9b62-c32a86cae478,a52668d8-0468-4b90-9b62-c32a86cae478,"The prevalence of allergic respiratory diseases such as bronchial asthma has increased in recent years, especially in industrialized countries. A change in the genetic predisposition is an unlikely cause of the increase in allergic diseases because genetic changes in a population require several generations. Consequently, this increase may be explained by changes in environmental factors, including indoor and outdoor air pollution. Over the past two decades, there has been increasing interest in studies of air pollution and its effects on human health. Although the role played by outdoor pollutants in allergic sensitization of the airways has yet to be clarified, a body of evidence suggests that urbanization, with its high levels of vehicle emissions, and a westernized lifestyle are linked to the rising frequency of respiratory allergic diseases observed in most industrialized countries, and there is considerable evidence that asthmatic persons are at increased risk of developing asthma exacerbations with exposure to ozone, nitrogen dioxide, sulphur dioxide and inhalable particulate matter. However, it is not easy to evaluate the impact of air pollution on the timing of asthma exacerbations and on the prevalence of asthma in general. As concentrations of airborne allergens and air pollutants are frequently increased contemporaneously, an enhanced IgE-mediated response to aeroallergens and enhanced airway inflammation could account for the increasing frequency of allergic respiratory allergy and bronchial asthma. Pollinosis is frequently used to study the interrelationship between air pollution and respiratory allergy. Climatic factors (temperature, wind speed, humidity, thunderstorms, etc) can affect both components (biological and chemical) of this interaction. By attaching to the surface of pollen grains and of plant-derived particles of paucimicronic size, pollutants could modify not only the morphology of these antigen-carrying agents but also their allergenic potential. In addition, by inducing airway inflammation, which increases airway permeability, pollutants overcome the mucosal barrier and could be able to ""prime"" allergen-induced responses. There are also observations that a thunderstorm occurring during pollen season can induce severe asthma attacks in pollinosis patients. After rupture by thunderstorm, pollen grains may release part of their cytoplasmic content, including inhalable, allergen-carrying paucimicronic particles.","D’Amato, G.; Liccardi, G.; D’Amato, M.; Holgate, S.",Sep,1365-2222,9,"Clinical & Experimental Allergy","Air Pollutants/*adverse effects; Asthma/*etiology/*immunology; Bronchi/immunology; Cities; *Environmental Exposure; Humans; Lightning; Pollen; Risk Factors; Smog; Vehicle Emissions",,1113-1124,"Environmental risk factors and allergic bronchial asthma",,35,2005,0,,18457,a52668d8-0468-4b90-9b62-c32a86cae478,"Journal Article",/article/10.1111/j.1365-2222.2005.02328.x
/reference/a53b7e18-729e-4579-a628-3c8927ba18fd,https://data.globalchange.gov/reference/a53b7e18-729e-4579-a628-3c8927ba18fd,a53b7e18-729e-4579-a628-3c8927ba18fd,,"Draut, Amy E.; Hiza Redsteer, Margaret; Amoroso, Lee",,,,,"aeolian sand; dunes; climate change; desert; vegetation; Navajo",,51-60,"Recent seasonal variations in arid landscape cover and aeolian sand mobility, Navajo Nation, southwestern United States",,,2013,7,,18246,a53b7e18-729e-4579-a628-3c8927ba18fd,"Book Section",/book/dbe54a28-8bfd-4b9a-a9e6-a1726e5359aa
/reference/a55f40a6-1c15-42ca-b64f-e902136b9a3f,https://data.globalchange.gov/reference/a55f40a6-1c15-42ca-b64f-e902136b9a3f,a55f40a6-1c15-42ca-b64f-e902136b9a3f,,"Chitra, T.V.; Panicker, Seetha",,,,"Journal of Vector Borne Diseases",,,210-213,"Maternal and fetal outcome of dengue fever during pregnancy",http://www.mrcindia.org/journal/issues/484210.pdf,48,2011,0,,19240,a55f40a6-1c15-42ca-b64f-e902136b9a3f,"Journal Article",/article/pmid-22297282
/reference/a5793709-2718-458d-9ea3-aa895daf1c31,https://data.globalchange.gov/reference/a5793709-2718-458d-9ea3-aa895daf1c31,a5793709-2718-458d-9ea3-aa895daf1c31,,"Enarson, Elaine; Fothergill, A.; Peek, L.",,,,,,,130-146,"Gender and disaster: Foundations and directions",,,2007,7,,19361,a5793709-2718-458d-9ea3-aa895daf1c31,"Book Section",/book/4b80a290-2722-48f4-b028-dd54d4408835
/reference/a5b5448f-6f88-4e74-a3a9-2f34aab42ecb,https://data.globalchange.gov/reference/a5b5448f-6f88-4e74-a3a9-2f34aab42ecb,a5b5448f-6f88-4e74-a3a9-2f34aab42ecb,"Evidence suggests that allergic respiratory diseases such as hay fever and bronchial asthma have become more common world-wide in the last two decades, and the reasons for this increase are still largely unknown. A major responsible factor could be outdoor air pollution, derived from cars and other vehicles. Studies have demonstrated that urbanization and high levels of vehicle emissions and westernized lifestyle is correlated with the increasing frequency of pollen-induced respiratory allergy. People who live in urban areas tend to be more affected by pollen-induced respiratory allergy than those from of rural areas. Pollen allergy has been one of the most frequent models used to study the interrelationship between air pollution and respiratory allergic diseases. Pollen grains or plant-derived paucimicronic components carry allergens that can produce allergic symptoms. They may also interact with air pollution (particulate matter, ozone) in producing these effects. There is evidence that air pollutants may promote airway sensitization by modulating the allergenicity of airborne allergens. Furthermore, airway mucosal damage and impaired mucociliary clearance induced by air pollution may facilitate the access of inhaled allergens to the cells of the immune system. In addition, vegetation reacts with air pollution and environmental conditions and influence the plant allergenicity. Several factors influence this interaction, including type of air pollutants, plant species, nutrient balance, climatic factors, degree of airway sensitization and hyperresponsiveness of exposed subjects.","D’Amato, G.; Liccardi, G.; D’Amato, M.; Cazzola, M.",Jul,0954-6111,7,"Respiratory Medicine","Air Pollution/*adverse effects; Allergens/adverse effects; Asthma/*etiology; *Climate; Humans; Hypersensitivity/*etiology; Immunoglobulin E/immunology; Pollen/adverse effects; Rhinitis, Allergic, Seasonal/*etiology; Urban Health",,606-611,"The role of outdoor air pollution and climatic changes on the rising trends in respiratory allergy",,95,2001,0,,18456,a5b5448f-6f88-4e74-a3a9-2f34aab42ecb,"Journal Article",/article/10.1053/rmed.2001.1112
/reference/a5c47ded-9ce3-4075-b4d4-c5c3ce9036cd,https://data.globalchange.gov/reference/a5c47ded-9ce3-4075-b4d4-c5c3ce9036cd,a5c47ded-9ce3-4075-b4d4-c5c3ce9036cd,,"Ostro, B.
Rauch, S.
Green, S.",,0013-9351,8,"Environmental Research",,,1258-1264,"Quantifying the health impacts of future changes in temperature in California",,111,2011,0,"[""Ch. 20: Southwest FINAL""]",2382,a5c47ded-9ce3-4075-b4d4-c5c3ce9036cd,"Journal Article",/article/10.1016/j.envres.2011.08.013
/reference/a5d4557b-2340-45c2-89cd-4c2bc5e9d720,https://data.globalchange.gov/reference/a5d4557b-2340-45c2-89cd-4c2bc5e9d720,a5d4557b-2340-45c2-89cd-4c2bc5e9d720,,"Nichols, G.
Lane, C.
Asgari, N.
Verlander, N. Q.
Charlett, A.",Mar,1477-8920,1,"Journal of Water and Health","Cross-Over Studies; Disease Outbreaks; England/epidemiology; Gram-Negative Bacterial Infections/ epidemiology; Humans; Protozoan Infections/ epidemiology; Rain; Wales/epidemiology; Water Supply",,1-8,"Rainfall and outbreaks of drinking water related disease and in England and Wales",http://www.iwaponline.com/jwh/007/0001/0070001.pdf,7,2009,0,"[""Ch. 9: Human Health FINAL"",""Overview""]",2217,a5d4557b-2340-45c2-89cd-4c2bc5e9d720,"Journal Article",/article/10.2166/wh.2009.143
/reference/a5db04e0-2a4f-4ddf-af07-a64797095d8e,https://data.globalchange.gov/reference/a5db04e0-2a4f-4ddf-af07-a64797095d8e,a5db04e0-2a4f-4ddf-af07-a64797095d8e,,"Little, B.; Gill, J.; Schulte, J.; Young, S.; Horton, J.; Harris, L.; Batts-Osborne, D.; Sanchez, C.; Malilay, J.; Bayleyegn, T.",,1545-861X,36,"Morbidity and Mortality Weekly Report",,15371964,837-840,"Rapid assessment of the needs and health status of older adults after Hurricane Charley--Charlotte, DeSoto, and Hardee Counties, Florida, August 27-31, 2004",http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5336a2.htm,53,2004,0,,16504,a5db04e0-2a4f-4ddf-af07-a64797095d8e,"Journal Article",/article/pmid-15371964
/reference/a5f75b63-4977-4c43-a505-94dc6240702e,https://data.globalchange.gov/reference/a5f75b63-4977-4c43-a505-94dc6240702e,a5f75b63-4977-4c43-a505-94dc6240702e,,"Brunner, Jesse L.; Killilea, Mary; Ostfeld, Richard S.",,1938-2928,5,"Journal of Medical Entomology",,,981-987,"Overwintering survival of nymphal Ixodes scapularis (Acari: Ixodidae) under natural conditions",,49,2012,0,,18338,a5f75b63-4977-4c43-a505-94dc6240702e,"Journal Article",/article/10.1603/me12060
/reference/a60573de-1021-46ad-bae3-327bc614650d,https://data.globalchange.gov/reference/a60573de-1021-46ad-bae3-327bc614650d,a60573de-1021-46ad-bae3-327bc614650d,,WHO,,,,,,,257,"Antimicrobial Resistance: Global Report on Surveillance",http://www.who.int/drugresistance/documents/surveillancereport/en/,,2014,10,,18316,a60573de-1021-46ad-bae3-327bc614650d,Report,/report/antimicrobial-resistance-global-report-on-surveillance
/reference/a62a17de-608a-4573-9afd-c593e0966f7a,https://data.globalchange.gov/reference/a62a17de-608a-4573-9afd-c593e0966f7a,a62a17de-608a-4573-9afd-c593e0966f7a,"A widely held concern is that the pace of infectious disease emergence has been increasing. We have analyzed the rate of discovery of pathogenic viruses, the preeminent source of newly discovered causes of human disease, from 1897 through 2010. The rate was highest during 1950-1969, after which it moderated. This general picture masks two distinct trends: for arthropod-borne viruses, which comprised 39% of pathogenic viruses, the discovery rate peaked at three per year during 1960-1969, but subsequently fell nearly to zero by 1980; however, the rate of discovery of nonarboviruses remained stable at about two per year from 1950 through 2010. The period of highest arbovirus discovery coincided with a comprehensive program supported by The Rockefeller Foundation of isolating viruses from humans, animals, and arthropod vectors at field stations in Latin America, Africa, and India. The productivity of this strategy illustrates the importance of location, approach, long-term commitment, and sponsorship in the discovery of emerging pathogens.","Rosenberg, R.; Johansson, M. A.; Powers, A. M.; Miller, B. R.","Aug 20",1091-6490,34,"Proceedings of the National Academy of Sciences of the United States of America","Animals; Communicable Diseases, Emerging/*epidemiology/virology; Disease Vectors; Geography; History, 19th Century; History, 20th Century; History, 21st Century; Humans; Virology/*history; Virus Diseases/*epidemiology/history; Viruses/classification/*isolation & purification; Zoonoses/*epidemiology/virology",,13961-13964,"Search strategy has influenced the discovery rate of human viruses",,110,2013,0,,18032,a62a17de-608a-4573-9afd-c593e0966f7a,"Journal Article",/article/10.1073/pnas.1307243110
/reference/a63cc83e-0b3a-4b65-9c44-76e80f23dab3,https://data.globalchange.gov/reference/a63cc83e-0b3a-4b65-9c44-76e80f23dab3,a63cc83e-0b3a-4b65-9c44-76e80f23dab3,,"Laidler, G.J.
Ford, J.D.
Gough, W.A.
Ikummaq, T.
Gagnon, A.S.
Kowal, S.
Qrunnut, K.
Irngaut, C.",,0165-0009,3,"Climatic Change",,,363-397,"Travelling and hunting in a changing Arctic: Assessing Inuit vulnerability to sea ice change in Igloolik, Nunavut",,94,2009,0,"[""Ch. 12: Indigenous FINAL"",""Ch. 1: Overview FINAL""]",1688,a63cc83e-0b3a-4b65-9c44-76e80f23dab3,"Journal Article",/article/10.1007/s10584-008-9512-z
/reference/a6491512-ba32-470d-934e-44c3b13d8b96,https://data.globalchange.gov/reference/a6491512-ba32-470d-934e-44c3b13d8b96,a6491512-ba32-470d-934e-44c3b13d8b96,"BACKGROUND: Most heat-related deaths occur in cities, and future trends in global climate change and urbanization may amplify this trend. Understanding how neighborhoods affect heat mortality fills an important gap between studies of individual susceptibility to heat and broadly comparative studies of temperature-mortality relationships in cities. OBJECTIVES: We estimated neighborhood effects of population characteristics and built and natural environments on deaths due to heat exposure in Maricopa County, Arizona (2000-2008). METHODS: We used 2000 U.S. Census data and remotely sensed vegetation and land surface temperature to construct indicators of neighborhood vulnerability and a geographic information system to map vulnerability and residential addresses of persons who died from heat exposure in 2,081 census block groups. Binary logistic regression and spatial analysis were used to associate deaths with neighborhoods. RESULTS: Neighborhood scores on three factors-socioeconomic vulnerability, elderly/isolation, and unvegetated area-varied widely throughout the study area. The preferred model (based on fit and parsimony) for predicting the odds of one or more deaths from heat exposure within a census block group included the first two factors and surface temperature in residential neighborhoods, holding population size constant. Spatial analysis identified clusters of neighborhoods with the highest heat vulnerability scores. A large proportion of deaths occurred among people, including homeless persons, who lived in the inner cores of the largest cities and along an industrial corridor. CONCLUSIONS: Place-based indicators of vulnerability complement analyses of person-level heat risk factors. Surface temperature might be used in Maricopa County to identify the most heat-vulnerable neighborhoods, but more attention to the socioecological complexities of climate adaptation is needed.","Harlan, S. L.; Declet-Barreto, J. H.; Stefanov, W. L.; Petitti, D. B.",Feb,1552-9924,2,"Environmental Health Perspectives","Arizona/epidemiology; Female; Geographic Information Systems; Heat Stress Disorders/ mortality; Humans; Male; Residence Characteristics; Risk Factors; Socioeconomic Factors",,197-204,"Neighborhood effects on heat deaths: Social and environmental predictors of vulnerability in Maricopa County, Arizona",,121,2013,0,,4523,a6491512-ba32-470d-934e-44c3b13d8b96,"Journal Article",/article/10.1289/ehp.1104625
/reference/a667ff49-77d6-4ad6-ba23-b51d12f4f747,https://data.globalchange.gov/reference/a667ff49-77d6-4ad6-ba23-b51d12f4f747,a667ff49-77d6-4ad6-ba23-b51d12f4f747,,"Anderson, C.A.",,,,,,,128-132,"Climate change and violence",,,2012,7,,18051,a667ff49-77d6-4ad6-ba23-b51d12f4f747,"Book Section",/book/b37b24a1-1ec1-44fa-b934-3aff1ea29410
/reference/a669a821-a3b9-4f32-85f6-5ee36fd23545,https://data.globalchange.gov/reference/a669a821-a3b9-4f32-85f6-5ee36fd23545,a669a821-a3b9-4f32-85f6-5ee36fd23545,,"Pope, C. Arden, III; Burnett, Richard T.; Thun, Michael J.; Calle, Eugenia E.; Krewski, Daniel; Ito, Kazuhiko; Thurston, George D.",,0098-7484,9,"JAMA: The Journal of the American Medical Association",,,1132-1141,"Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution",,287,2002,0,Ch9,17875,a669a821-a3b9-4f32-85f6-5ee36fd23545,"Journal Article",/article/10.1001/jama.287.9.1132
/reference/a6714dce-b324-4324-a88e-d31d31fa2d95,https://data.globalchange.gov/reference/a6714dce-b324-4324-a88e-d31d31fa2d95,a6714dce-b324-4324-a88e-d31d31fa2d95,,"Anderson, G.B.
Bell, M.L.",,1552-9924,2,"Environmental Health Perspectives",,,210-218,"Heat waves in the United States: Mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. communities",,119,2011,0,"[""Ch. 9: Human Health FINAL"",""Ch. 18: Midwest FINAL""]",837,a6714dce-b324-4324-a88e-d31d31fa2d95,"Journal Article",/article/10.1289/ehp.1002313
/reference/a67e8ff1-028b-4ded-8f09-cabc0c870b12,https://data.globalchange.gov/reference/a67e8ff1-028b-4ded-8f09-cabc0c870b12,a67e8ff1-028b-4ded-8f09-cabc0c870b12,"Nucleic acid testing (NAT) of blood donors provides opportunities for identifying West Nile virus (WNV)-infected persons before symptoms develop and for characterizing subsequent illness. From June 2003 through 2008, the American Red Cross performed follow-up interviews with and additional laboratory testing for 1436 donors whose donations had initial test results that were reactive for WNV RNA; 821 of the donors were subsequently confirmed to have WNV infection, and the remainder were unconfirmed or determined to have false-positive results. Symptoms attributed to WNV infection were determined by comparing symptom frequency among 576 donors identified with early WNV infection (immunoglobulin M antibody negative) and those with unconfirmed infection. We estimate that 26% of WNV-infected persons become symptomatic, defined by the presence of at least 3 of 8 indicator symptoms. Nearly one-half of symptomatic persons sought medical care; only 5% received a diagnosis of WNV infection. Female subjects and persons with higher viral loads detected in the index donation were more likely than other subjects to develop symptoms.","Zou, S.; Foster, G. A.; Dodd, R. Y.; Petersen, L. R.; Stramer, S. L.","Nov 1",1537-6613,9,"The Journal of Infectious Diseases","Adult; Aged; *Blood Donors; Female; Humans; Male; *Mass Screening; Middle Aged; RNA, Viral/*blood; United States; Viral Load; West Nile Fever/*diagnosis/*pathology; West Nile virus/*genetics",,1354-1361,"West Nile fever characteristics among viremic persons identified through blood donor screening",,202,2010,0,,18046,a67e8ff1-028b-4ded-8f09-cabc0c870b12,"Journal Article",/article/10.1086/656602
/reference/a6856e1f-e371-40f1-83d0-bce369e2289f,https://data.globalchange.gov/reference/a6856e1f-e371-40f1-83d0-bce369e2289f,a6856e1f-e371-40f1-83d0-bce369e2289f,,"Berner, J.; Furgal, C.; Bjerregaard, P.; Bradley, M.; Curtis, T.; De Fabo, E.; Hassi, J.; Keatinge, W.; Kvernmo, S.; Nayha, S.; Rintamaki, H.; Warren, J.",,,,,"Human health",,863-906,"Ch. 15: Human Health",http://www.acia.uaf.edu/PDFs/ACIA_Science_Chapters_Final/ACIA_Ch15_Final.pdf,,2005,7,"[""Ch. 22: Alaska FINAL""]",860,a6856e1f-e371-40f1-83d0-bce369e2289f,"Book Section",/report/acia-2005
/reference/a6a312ba-6fd1-4006-9a60-45112db52190,https://data.globalchange.gov/reference/a6a312ba-6fd1-4006-9a60-45112db52190,a6a312ba-6fd1-4006-9a60-45112db52190,,"Walsh, John
Wuebbles, Donald
Hayhoe, Katharine
Kossin, James
Kunkel, Kenneth
Stephens, Graeme
Thorne, Peter
Vose, Russell
Wehner, Michael
Willis, Josh
Anderson, David
Doney, Scott
Feely, Richard
Hennon, Paula
Kharin, Viatcheslav
Knutson, Thomas
Landerer, Felix
Lenton, Tim
Kennedy, John
Somerville, Richard",,,,,,,19-67,"Ch. 2: Our Changing Climate",http://nca2014.globalchange.gov/report/our-changing-climate/introduction,,2014,7,"[""Ch. 0: About this Report FINAL""]",4713,a6a312ba-6fd1-4006-9a60-45112db52190,"Book Section",/report/nca3/chapter/our-changing-climate
/reference/a6b988e1-7555-4e48-beac-441d2baba77f,https://data.globalchange.gov/reference/a6b988e1-7555-4e48-beac-441d2baba77f,a6b988e1-7555-4e48-beac-441d2baba77f,,"Ruckelshaus, M.
Doney, S. C.
Galindo, H. M.
Barry, J. P.
Chan, F.
Duffy, J. E.
English, C. A.
Gaines, S. D.
Grebmeier, J. M.
Hollowed, A. B.
Knowlton, N.
Polovina, J.
Rabalais, N. N.
Sydeman, W. J.
Talley, L. D.",,0308-597X,,"Marine Policy","Ecosystem services
Climate adaptation
Coastal hazards
Fisheries
Tourism
Trade-offs",,154-159,"Securing ocean benefits for society in the face of climate change",,40,2013,0,"[""Ch. 25: Coastal Zone FINAL"",""RG 10 Coasts""]",3792,a6b988e1-7555-4e48-beac-441d2baba77f,"Journal Article",/article/10.1016/j.marpol.2013.01.009
/reference/a6c9e6ee-1d23-476b-b7f7-d01298aaf63e,https://data.globalchange.gov/reference/a6c9e6ee-1d23-476b-b7f7-d01298aaf63e,a6c9e6ee-1d23-476b-b7f7-d01298aaf63e,,"Wong, Craig S.; Mooney, Jody C.; Brandt, John R.; Staples, Amy O.; Jelacic, Srdjan; Boster, Daniel R.; Watkins, Sandra L.; Tarr, Phillip I.",,1537-6591,1,"Clinical Infectious Diseases",,,33-41,"Risk Factors for the Hemolytic Uremic Syndrome in Children Infected With Escherichia coli O157:H7: A Multivariable Analysis",,55,2012,0,,19363,a6c9e6ee-1d23-476b-b7f7-d01298aaf63e,"Journal Article",/article/10.1093/cid/cis299
/reference/a6df72ec-80b2-41a6-bf51-fc140a0cb24e,https://data.globalchange.gov/reference/a6df72ec-80b2-41a6-bf51-fc140a0cb24e,a6df72ec-80b2-41a6-bf51-fc140a0cb24e,"BACKGROUND: Comorbidity of depression, heart disease, and migraine has been observed in clinical practice, while ambient air pollution has been identified among different risk factors for these health conditions. Suicide attempts and ideations as the result of depression may be linked to air pollution exposure. Therefore the effects of ambient air pollution on emergency department (ED) visits for suicide attempts were investigated. METHODS: Emergency visit data were collected in a hospital in Vancouver, Canada. The generalized linear mixed models technique was applied in the analysis of these data. A natural hierarchical structure of the data was used to define the clusters, with days nested in a 3-level structure (day of week, month, year). Poisson models were fitted to the clustered counts of ED visits with a single air pollutant, temperature and relative humidity. In addition, the case-crossover methodology was used with the same data for comparison. The analysis was performed by gender (all, males, females) and month (all: January-December, warm: April-September, cold: October-March). RESULTS: Both hierarchical and case-crossover methods confirmed positive and statistically significant associations among carbon monoxide (CO), nitrogen dioxide (NO(2)), sulphur dioxide (SO(2)), and particulate matter (PM(10)) for all suicide attempts in the cold period. The largest increase was observed for males in the cold period for a 1-day lagged exposure to NO(2), with an excess risk of 23.9% (95% CI: 7.8, 42.4) and odds ratio of 1.21 (95% CI: 1.03, 1.41). In warm months the associations were not statistically significant, and the highest positive value was obtained for ozone lagged by 1 day. CONCLUSION: The results indicate a potential association between air pollution and emergency department visits for suicide attempts.","Szyszkowicz, M.; Willey, J. B.; Grafstein, E.; Rowe, B. H.; Colman, I.",,1178-6302,,"Environmental Health Insights","air pollution; emergency department; relative humidity; suicide attempt; temperature",,79-86,"Air pollution and emergency department visits for suicide attempts in Vancouver, Canada",,4,2010,0,,18191,a6df72ec-80b2-41a6-bf51-fc140a0cb24e,"Journal Article",/article/10.4137/ehi.s5662
/reference/a739570e-3039-4bc3-a666-64cc9c9754aa,https://data.globalchange.gov/reference/a739570e-3039-4bc3-a666-64cc9c9754aa,a739570e-3039-4bc3-a666-64cc9c9754aa,,"Barnes, Elizabeth A.",,1944-8007,17,"Geophysical Research Letters",,,4734-4739,"Revisiting the evidence linking Arctic amplification to extreme weather in midlatitudes",,40,2013,0,Ch2,17585,a739570e-3039-4bc3-a666-64cc9c9754aa,"Journal Article",/article/10.1002/grl.50880
/reference/a773199d-d5bd-4ad7-8333-663cdb648d72,https://data.globalchange.gov/reference/a773199d-d5bd-4ad7-8333-663cdb648d72,a773199d-d5bd-4ad7-8333-663cdb648d72,,"Robeson, Scott M.; Willmott, Cort J.; Jones, Phil D.",,1944-8007,24,"Geophysical Research Letters",,,9065-9071,"Trends in hemispheric warm and cold anomalies",,41,2014,0,Ch2,17617,a773199d-d5bd-4ad7-8333-663cdb648d72,"Journal Article",/article/10.1002/2014gl062323
/reference/a7957dc8-1ead-4328-8250-a695f5f62c30,https://data.globalchange.gov/reference/a7957dc8-1ead-4328-8250-a695f5f62c30,a7957dc8-1ead-4328-8250-a695f5f62c30,,,,,,,,,,"Climate Change and Human Well-being: Global Challenges and Opportunities",,,2011,9,,18047,a7957dc8-1ead-4328-8250-a695f5f62c30,Book,/book/ff08562c-49aa-4b2f-b7be-aaf93d86487b
/reference/a7b99e9c-2c22-4684-9969-afa5cf7e8203,https://data.globalchange.gov/reference/a7b99e9c-2c22-4684-9969-afa5cf7e8203,a7b99e9c-2c22-4684-9969-afa5cf7e8203,,"Lenarz, Mark S.; Nelson, Michael E.; Schrage, Michael W.; Edwards, Andrew J.",,1937-2817,4,"The Journal of Wildlife Management",,,503-510,"Temperature mediated moose survival in northeastern Minnesota",,73,2009,0,Ch9,16403,a7b99e9c-2c22-4684-9969-afa5cf7e8203,"Journal Article",/article/10.2193/2008-265
/reference/a7dd9a25-4323-43a8-9546-59217de13726,https://data.globalchange.gov/reference/a7dd9a25-4323-43a8-9546-59217de13726,a7dd9a25-4323-43a8-9546-59217de13726,"The Walkerton, Canada, waterborne outbreak of 2000 resulted from entry of Escherichia coli O157:H7 and Campylobacter spp. from neighboring farms into the town water supply. Isolates of Campylobacter jejuni and Campylobacter coli obtained from outbreak investigations were characterized by phenotypic and genotypic methods, including heat-stable and heat-labile serotyping, phage typing, biotyping, fla–restriction fragment length polymorphism (RFLP) typing, and pulsed-field gel electrophoresis. Two main outbreak strains were identified on the basis of heat-stable serotyping and fla-RFLP typing. These strains produced a limited number of types when tested by other methods. Isolates with types indistinguishable from, or similar to, the outbreak types were found only on one farm near the town of Walkerton, whereas cattle from other farms carried a variety of Campylobacter strains with different type characteristics. Results of these analyses confirmed results from epidemiologic studies and the utility of using several different typing and subtyping methods for completely characterizing bacterial populations.","Clark, Clifford G.; Price, Lawrence; Ahmed, Rafiq; Woodward, David L.; Melito, Pasquale L.; Rodgers, Frank G.; Jamieson, Frances; Ciebin, Bruce; Li, Aimin; Ellis, Andrea",,1080-6059,10,"Emerging Infectious Diseases",,,1232-1241,"Characterization of waterborne outbreak–associated Campylobacter jejuni , Walkerton, Ontario",,9,2003,0,,19049,a7dd9a25-4323-43a8-9546-59217de13726,"Journal Article",/article/10.3201/eid0910.020584
/reference/a7f52e54-2ce0-46fc-b0a2-60729757a8c0,https://data.globalchange.gov/reference/a7f52e54-2ce0-46fc-b0a2-60729757a8c0,a7f52e54-2ce0-46fc-b0a2-60729757a8c0,,"Schijven, Jack; Bouwknegt, Martijn; de Roda Husman, Ana Maria; Rutjes, Saskia; Sudre, Bertrand; Suk, Jonathan E.; Semenza, Jan C.",,1539-6924,12,"Risk Analysis",,,2154-2167,"A decision support tool to compare waterborne and foodborne infection and/or illness risks associated with climate change",,33,2013,0,,18851,a7f52e54-2ce0-46fc-b0a2-60729757a8c0,"Journal Article",/article/10.1111/risa.12077
/reference/a815bd0f-e3a7-4090-a35e-2f12381d9428,https://data.globalchange.gov/reference/a815bd0f-e3a7-4090-a35e-2f12381d9428,a815bd0f-e3a7-4090-a35e-2f12381d9428,,"Smith, Ben A.; Ruthman, Todd; Sparling, Erik; Auld, Heather; Comer, Neil; Young, Ian; Lammerding, Anna M.; Fazil, Aamir",,1873-7145,,"Food Research International",,,78-85,"A risk modeling framework to evaluate the impacts of climate change and adaptation on food and water safety",,68,2015,0,,18852,a815bd0f-e3a7-4090-a35e-2f12381d9428,"Journal Article",/article/10.1016/j.foodres.2014.07.006
/reference/a8247fa4-25ec-4658-ad0b-9c8f4ebcf8f4,https://data.globalchange.gov/reference/a8247fa4-25ec-4658-ad0b-9c8f4ebcf8f4,a8247fa4-25ec-4658-ad0b-9c8f4ebcf8f4,,"Dusek, R. J.; McLean, R. G.; Kramer, L. D.; Ubico, S. R.; Dupuis, A. P.; Ebel, G. D.; Guptill, S. C.",,0002-9637,6,"The American Journal of Tropical Medicine and Hygiene",,,1151-1158,"Prevalence of West Nile virus in migratory birds during spring and fall migration",,81,2009,0,Ch4,17725,a8247fa4-25ec-4658-ad0b-9c8f4ebcf8f4,"Journal Article",/article/10.4269/ajtmh.2009.09-0106
/reference/a8dc8e9b-e096-419e-9b5c-4a9b96fc4899,https://data.globalchange.gov/reference/a8dc8e9b-e096-419e-9b5c-4a9b96fc4899,a8dc8e9b-e096-419e-9b5c-4a9b96fc4899,,"Lye, Dennis J.",,1752-1688,5,"Journal of the American Water Resources Association",,,1301-1306,"Health risks associated with consumption of untreated water from household roof catchment systems",,38,2002,0,,19285,a8dc8e9b-e096-419e-9b5c-4a9b96fc4899,"Journal Article",/article/10.1111/j.1752-1688.2002.tb04349.x
/reference/a8e44cff-cd49-46f4-a54c-7a365097cbdf,https://data.globalchange.gov/reference/a8e44cff-cd49-46f4-a54c-7a365097cbdf,a8e44cff-cd49-46f4-a54c-7a365097cbdf,,"Self-Brown, Shannon; Lai, Betty S.; Thompson, Julia E.; McGill, Tia; Kelley, Mary Lou",,0165-0327,1-3,"Journal of Affective Disorders",,,198-204,"Posttraumatic stress disorder symptom trajectories in Hurricane Katrina affected youth",,147,2013,0,Ch8,16381,a8e44cff-cd49-46f4-a54c-7a365097cbdf,"Journal Article",/article/10.1016/j.jad.2012.11.002
/reference/a8fb12df-a0fc-4d01-9be6-c8b27bb60a52,https://data.globalchange.gov/reference/a8fb12df-a0fc-4d01-9be6-c8b27bb60a52,a8fb12df-a0fc-4d01-9be6-c8b27bb60a52,,"Battle, Dolores E.",,1538-4837,4,"Communication Disorders Quarterly",,,231-240,"Persons with communication disabilities in natural disasters, war, and/or conflict",,36,2015,0,,19350,a8fb12df-a0fc-4d01-9be6-c8b27bb60a52,"Journal Article",/article/10.1177/1525740114545980
/reference/a9273613-8dc2-42d4-a6ff-5b9a32e5d59e,https://data.globalchange.gov/reference/a9273613-8dc2-42d4-a6ff-5b9a32e5d59e,a9273613-8dc2-42d4-a6ff-5b9a32e5d59e,,"Jahromi, A. Hamidian; Wigle, Richard; Youssef, Asser M",,,12,"The American Surgeon",,,1712-1713,"Are we prepared yet for the extremes of weather changes? Emergence of several severe frostbite cases in Louisiana",,77,2011,0,Ch7,17979,a9273613-8dc2-42d4-a6ff-5b9a32e5d59e,"Journal Article",/article/pmid-22273236
/reference/a92b6912-a92c-482b-a8e7-f43d324947e3,https://data.globalchange.gov/reference/a92b6912-a92c-482b-a8e7-f43d324947e3,a92b6912-a92c-482b-a8e7-f43d324947e3,,"Val Martin, M.; Heald, C. L.; Lamarque, J. F.; Tilmes, S.; Emmons, L. K.; Schichtel, B. A.",,1680-7324,5,"Atmospheric Chemistry and Physics",,,2805-2823,"How emissions, climate, and land use change will impact mid-century air quality over the United States: A focus on effects at National Parks",,15,2015,0,,18929,a92b6912-a92c-482b-a8e7-f43d324947e3,"Journal Article",/article/10.5194/acp-15-2805-2015
/reference/a95f121c-2fa2-4d4a-affe-576dad344217,https://data.globalchange.gov/reference/a95f121c-2fa2-4d4a-affe-576dad344217,a95f121c-2fa2-4d4a-affe-576dad344217,"OBJECTIVE: We investigated the influence of hurricane exposure, stressors occurring during the hurricane and recovery period, and social support on children's persistent posttraumatic stress (PTS). METHOD: Using a 2-wave, prospective design, we assessed 384 children (54% girls; mean age = 8.74 years) 9 months posthurricane, and we reassessed 245 children 21 months posthurricane. Children completed measures of exposure experiences, social support, hurricane-related stressors, life events, and PTS symptoms. RESULTS: At Time 1, 35% of the children reported moderate to very severe levels of PTS symptoms; at Time 2, this reduced to 29%. Hurricane-related stressors influenced children's persistent PTS symptoms and the occurrence of other life events, which in turn also influenced persistent PTS symptoms. The cascading effects of hurricane stressors and other life events disrupted children's social support over time, which further influenced persistent PTS symptoms. Social support from peers buffered the impact of disaster exposure on children's PTS symptoms. CONCLUSIONS: The effects of a destructive hurricane on children's PTS symptoms persisted almost 2 years after the storm. The factors contributing to PTS symptoms are interrelated in complex ways. The findings suggest a need to close the gap between interventions delivered in the immediate and short-term aftermath and those delivered 2 years or more postdisaster. Such interventions might focus on helping children manage disaster-related stressors and other life events as well as bolstering children's support systems.","La Greca, A. M.; Silverman, W. K.; Lai, B.; Jaccard, J.",Dec,1939-2117,6,"Journal of Consulting and Clinical Psychology","Child; Cluster Analysis; *Cyclonic Storms; Disasters; Female; Humans; *Life Change Events; Male; Models, Psychological; Prospective Studies; Severity of Illness Index; *Social Support; Stress Disorders, Post-Traumatic/*psychology; Stress, Psychological/*psychology",,794-805,"Hurricane-related exposure experiences and stressors, other life events, and social support: Concurrent and prospective impact on children's persistent posttraumatic stress symptoms",,78,2010,0,,18119,a95f121c-2fa2-4d4a-affe-576dad344217,"Journal Article",/article/10.1037/a0020775
/reference/a9cc82e3-1eb0-451c-90d3-dbe883c203d7,https://data.globalchange.gov/reference/a9cc82e3-1eb0-451c-90d3-dbe883c203d7,a9cc82e3-1eb0-451c-90d3-dbe883c203d7,,"Scheeringa, Michael S.; Zeanah, Charles H.",,1537-4424,3,"Journal of Clinical Child & Adolescent Psychology",,,508-518,"Reconsideration of harm's way: Onsets and comorbidity patterns of disorders in preschool children and their caregivers following Hurricane Katrina",,37,2008,0,Ch8,16380,a9cc82e3-1eb0-451c-90d3-dbe883c203d7,"Journal Article",/article/10.1080/15374410802148178
/reference/a9f1a3ec-7f21-4d47-9a4c-84f0029ff6a2,https://data.globalchange.gov/reference/a9f1a3ec-7f21-4d47-9a4c-84f0029ff6a2,a9f1a3ec-7f21-4d47-9a4c-84f0029ff6a2,,"Feldman, Lauren; Hart, P.Sol; Milosevic, Tijana",,1361-6609,,"Public Understanding of Science",,,"Published online 30 July 2015","Polarizing news? Representations of threat and efficacy in leading US newspapers' coverage of climate change",,,2015,0,,19208,a9f1a3ec-7f21-4d47-9a4c-84f0029ff6a2,"Journal Article",/article/10.1177/0963662515595348
/reference/aa29148e-c86c-443d-9c1d-5a1d7fbc3437,https://data.globalchange.gov/reference/aa29148e-c86c-443d-9c1d-5a1d7fbc3437,aa29148e-c86c-443d-9c1d-5a1d7fbc3437,,"Goldman, A.; Eggen, B.; Golding, B.; Murray, V.",,1476-5616,1,"Public Health",,,3-28,"The health impacts of windstorms: A systematic literature review",,128,2014,0,Ch7,17775,aa29148e-c86c-443d-9c1d-5a1d7fbc3437,"Journal Article",/article/10.1016/j.puhe.2013.09.022
/reference/aa39f53c-b544-4f17-9bf9-59b1e4636b56,https://data.globalchange.gov/reference/aa39f53c-b544-4f17-9bf9-59b1e4636b56,aa39f53c-b544-4f17-9bf9-59b1e4636b56,,"Gauderman, W. James; Avol, Edward; Gilliland, Frank; Vora, Hita; Thomas, Duncan; Berhane, Kiros; McConnell, Rob; Kuenzli, Nino; Lurmann, Fred; Rappaport, Edward; Margolis, Helene; Bates, David; Peters, John",,1533-4406,11,"New England Journal of Medicine",,,1057-1067,"The effect of air pollution on lung development from 10 to 18 years of age",,351,2004,0,Ch9,16397,aa39f53c-b544-4f17-9bf9-59b1e4636b56,"Journal Article",/article/10.1056/NEJMoa040610
/reference/aa842ba8-5370-4645-b7c1-5967aca0d621,https://data.globalchange.gov/reference/aa842ba8-5370-4645-b7c1-5967aca0d621,aa842ba8-5370-4645-b7c1-5967aca0d621,,"Jones, S.; Griffin, M.; Liang, A.; Patriarca, P.",,,,,,,,"The Kansas City Heat Wave, July 1980: Effects of Health, Preliminary Report",,,1980,10,,17583,aa842ba8-5370-4645-b7c1-5967aca0d621,Report,/report/kansas-city-heat-wave-july-1980-effects-health-preliminary-report
/reference/aab82d57-06ca-4862-8597-ef2fff0d9269,https://data.globalchange.gov/reference/aab82d57-06ca-4862-8597-ef2fff0d9269,aab82d57-06ca-4862-8597-ef2fff0d9269,,"Cattell, Vicky",,0277-9536,10,"Social Science & Medicine",,,1501-1516,"Poor people, poor places, and poor health: The mediating role of social networks and social capital",,52,2001,0,,19184,aab82d57-06ca-4862-8597-ef2fff0d9269,"Journal Article",/article/10.1016/S0277-9536(00)00259-8
/reference/aac0f087-3ed8-49a3-b1c9-07ce3fdf7f24,https://data.globalchange.gov/reference/aac0f087-3ed8-49a3-b1c9-07ce3fdf7f24,aac0f087-3ed8-49a3-b1c9-07ce3fdf7f24,"The prevalence of asthma and allergic diseases has increased dramatically during the past few decades not only in industrialized countries. Urban air pollution from motor vehicles has been indicated as one of the major risk factors responsible for this increase. Although genetic factors are important in the development of asthma and allergic diseases, the rising trend can be explained only in changes occurred in the environment. Despite some differences in the air pollution profile and decreasing trends of some key air pollutants, air quality is an important concern for public health in the cities throughout the world. Due to climate change, air pollution patterns are changing in several urbanized areas of the world, with a significant effect on respiratory health. The observational evidence indicates that recent regional changes in climate, particularly temperature increases, have already affected a diverse set of physical and biological systems in many parts of the world. Associations between thunderstorms and asthma morbidity in pollinosis subjects have been also identified in multiple locations around the world. Allergens patterns are also changing in response to climate change and air pollution can modify the allergenic potential of pollens especially in presence of specific weather conditions. The underlying mechanisms of all these interactions are not well known yet. The consequences on health vary from decreases in lung function to allergic diseases, new onset of diseases, and exacerbation of chronic respiratory diseases. Factor clouding the issue is that laboratory evaluations do not reflect what happens during natural exposition, when atmospheric pollution mixtures in polluted cities are inhaled. In addition, it is important to recall that an individual's response to pollution exposure depends on the source and components of air pollution, as well as meteorological conditions. Indeed, some air pollution-related incidents with asthma aggravation do not depend only on the increased production of air pollution, but rather on atmospheric factors that favour the accumulation of air pollutants at ground level. Considering these aspects governments worldwide and international organizations such as the World Health Organization and the European Union are facing a growing problem of the respiratory effects induced by gaseous and particulate pollutants arising from motor vehicle emissions. © 2013 D'Amato et al.; licensee BioMed Central Ltd.","D’Amato, G.; Baena-Cagnani, C. E.; Cecchi, L.; Annesi-Maesano, I.; Nunes, C.; Ansotegui, I.; D’Amato, M.; Liccardi, G.; Sofia, M.; Canonica, W. G.",,2049-6958,12,"Multidisciplinary Respiratory Medicine","Airways hyper-responsiveness; Bronchial asthma; Climate change and allergy; Environment and respiratory allergy; Pollen allergy; Respiratory allergy; Urban air pollution; fibronectin; granulocyte macrophage colony stimulating factor; hydrocarbon; interleukin 6; interleukin 8; nitrogen dioxide; ozone; sulfur dioxide; agriculture; air pollution; air temperature; asthma; carbon footprint; climate change; energy yield; environmental exposure; exercise; exhaust gas; food industry; human; lung lavage; neutrophil; particulate matter; prevalence; respiratory tract allergy; review; smog; sunlight; traffic and transport; waste management",,1-9,"Climate change, air pollution and extreme events leading to increasing prevalence of allergic respiratory diseases",,8,2013,0,,4278,aac0f087-3ed8-49a3-b1c9-07ce3fdf7f24,"Journal Article",/article/10.1186/2049-6958-8-12
/reference/ab24aae5-1c55-4682-b031-5cac3e6be8fc,https://data.globalchange.gov/reference/ab24aae5-1c55-4682-b031-5cac3e6be8fc,ab24aae5-1c55-4682-b031-5cac3e6be8fc,,"Kent, Shia T.; McClure, Leslie A.; Zaitchik, Benjamin F.; Smith, Tiffany T.; Gohlke, Julia M.",,1552-9924,2,"Environmental Health Perspectives",,,"151–158","Heat waves and health outcomes in Alabama (USA): The importance of heat wave definition",,122,2014,0,Ch2,17605,ab24aae5-1c55-4682-b031-5cac3e6be8fc,"Journal Article",/article/10.1289/ehp.1307262
/reference/ab52be13-af0f-4dad-ba10-db328e20159d,https://data.globalchange.gov/reference/ab52be13-af0f-4dad-ba10-db328e20159d,ab52be13-af0f-4dad-ba10-db328e20159d,,"Hinzman, Larry D.
Bettez, Neil D.
Bolton, W. Robert
Chapin, F. Stuart, III
Dyurgerov, Mark B.
Fastie, Chris L.
Griffith, Brad
Hollister, Robert D.
Hope, Allen
Huntington, Henry P.
Jensen, Anne M.
Jia, Gensuo J.
Jorgenson, Torre
Kane, Douglas L.
Klein, David R.
Kofinas, Gary
Lynch, Amanda H.
Lloyd, Andrea H.
McGuire, A. David
Nelson, Frederick E.
Oechel, Walter C.
Osterkamp, Thomas E.
Racine, Charles H.
Romanovsky, Vladimir E.
Stone, Robert S.
Stow, Douglas A.
Sturm, Matthew
Tweedie, Craig E.
Vourlitis, George L.
Walker, Marilyn D.
Walker, Donald A.
Webber, Patrick J.
Welker, Jeffrey M.
Winker, Kevin S.
Yoshikawa, Kenji",,0165-0009,3,"Climatic Change",,,251-298,"Evidence and implications of recent climate change in Northern Alaska and other Arctic regions",http://www.springerlink.com/index/10.1007/s10584-005-5352-2,72,2005,0,"[""Ch. 12: Indigenous FINAL"",""Ch. 1: Overview FINAL"",""Ch. 22: Alaska FINAL""]",661,ab52be13-af0f-4dad-ba10-db328e20159d,"Journal Article",/article/10.1007/s10584-005-5352-2
/reference/abb3f0f0-54bc-4dd8-bc77-7d4a458e9bd1,https://data.globalchange.gov/reference/abb3f0f0-54bc-4dd8-bc77-7d4a458e9bd1,abb3f0f0-54bc-4dd8-bc77-7d4a458e9bd1,,"Crozier, M. J.",,1872-695X,3-4,Geomorphology,,,260-267,"Deciphering the effect of climate change on landslide activity: A review",,124,2010,0,Ch9,17833,abb3f0f0-54bc-4dd8-bc77-7d4a458e9bd1,"Journal Article",/article/10.1016/j.geomorph.2010.04.009
/reference/abb65651-959b-472d-8c80-e0646acf0665,https://data.globalchange.gov/reference/abb65651-959b-472d-8c80-e0646acf0665,abb65651-959b-472d-8c80-e0646acf0665,,"Craun, G. F.; Brunkard, J. M.; Yoder, J. S.; Roberts, V. A.; Carpenter, J.; Wade, T.; Calderon, R. L.; Roberts, J. M.; Beach, M. J.; Roy, S. L.",,1098-6618,3,"Clinical Microbiology Reviews",,,507-528,"Causes of outbreaks associated with drinking water in the United States from 1971 to 2006",,23,2010,0,Ch5,16140,abb65651-959b-472d-8c80-e0646acf0665,"Journal Article",/article/10.1128/cmr.00077-09
/reference/abe2ce03-59c1-461d-8801-3e12df93a8e1,https://data.globalchange.gov/reference/abe2ce03-59c1-461d-8801-3e12df93a8e1,abe2ce03-59c1-461d-8801-3e12df93a8e1,,"Swim, Janet; Clayton, Susan; Doherty, Thomas; Gifford, Robert; Howard, George; Reser, Joseph; Stern, Paul; Weber, Elke",,,,,,,108,"Psychology & Global Climate Change: Addressing a Multi-Faceted Phenomenon and Set of Challenges",http://www.apa.org/science/about/publications/climate-change-booklet.pdf,,2010,10,,18223,abe2ce03-59c1-461d-8801-3e12df93a8e1,Report,/report/apa-psychology-climatechange-2010