uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Keywords,attrs.Language,attrs.Notes,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs.\.reference_type,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/c8e3c87f-4a40-4429-8cad-d9b58218eea5,https://data.globalchange.gov/reference/c8e3c87f-4a40-4429-8cad-d9b58218eea5,c8e3c87f-4a40-4429-8cad-d9b58218eea5,"The drivers of variable disease risk in complex multi-host disease systems have proved very difficult to identify. Here we test a model that explains the entomological risk of Lyme disease (LD) in terms of host community composition. The model was parameterized in a continuous forest tract at the Cary Institute of Ecosystem Studies (formerly the Institute of Ecosystem Studies) in New York State, U.S.A. We report the results of continuing longitudinal observations (10 years) at the Cary Institute, and of a shorter-term study conducted in forest fragments in LD endemic areas of Connecticut, New Jersey, and New York, USA. Model predictions were significantly correlated with the observed nymphal infection prevalence (NIP) in both studies, although the relationship was stronger in the longer-term Cary Institute study. Species richness was negatively, albeit weakly, correlated with NIP (logistic regression), and there was no relationship between the Shannon diversity index (H') and NIP. Although these results suggest that LD risk is in fact dependent on host diversity, the relationship relies explicitly on the identities and frequencies of host species such that conventional uses of the term biodiversity (i.e., richness, evenness, H') are less appropriate than are metrics that include species identity. This underscores the importance of constructing interaction webs for vertebrates and exploring the direct and indirect effects of anthropogenic stressors on host community composition.","LoGiudice, K.; Duerr, S. T.; Newhouse, M. J.; Schmidt, K. A.; Killilea, M. E.; Ostfeld, R. S.",10.1890/07-1047.1,Oct,1939-9170,10,Ecology,"Animals; Arachnid Vectors/ microbiology; Biodiversity; Connecticut/epidemiology; Disease Reservoirs/ veterinary; Ecosystem; Humans; Ixodes/ microbiology; Lyme Disease/ epidemiology/etiology/transmission/ veterinary; Mice; New York/epidemiology; Population Density; Population Dynamics; Prevalence; Risk Factors; Zoonoses",eng,"LoGiudice, Kathleen Duerr, Shannon T K Newhouse, Michael J Schmidt, Kenneth A Killilea, Mary E Ostfeld, Richard S R01 AI053109/AI/NIAID NIH HHS/United States Research Support, N.I.H., Extramural United States Ecology. 2008 Oct;89(10):2841-9.",2841-2849,"Impact of host community composition on Lyme disease risk",89,2008,0,7414,c8e3c87f-4a40-4429-8cad-d9b58218eea5,"Journal Article",/article/10.1890/07-1047.1
/reference/c8ea337e-2701-499d-b219-e7865beb5cde,https://data.globalchange.gov/reference/c8ea337e-2701-499d-b219-e7865beb5cde,c8ea337e-2701-499d-b219-e7865beb5cde,,"Hribar, C.",,,,,,,,,22,"Understanding Concentrated Animal Feeding Operations and Their Impact on Communities",,2010,10,18430,c8ea337e-2701-499d-b219-e7865beb5cde,Report,/report/cdc-cafo-2010
/reference/c8f79038-5824-4834-a541-dd8367ded55c,https://data.globalchange.gov/reference/c8f79038-5824-4834-a541-dd8367ded55c,c8f79038-5824-4834-a541-dd8367ded55c,,,,,,,,,,,,"Preparing for a Changing Climate: The Potential Consequences of Climate Variability and Change in Alaska. A Report of the Alaska Regional Assessment Group for the U.S. Global Change Research Program",,1999,9,18827,c8f79038-5824-4834-a541-dd8367ded55c,Book,/report/uaf-potentialconsequences-1999
/reference/c912323b-ab87-4865-ab9f-5dc13a730e64,https://data.globalchange.gov/reference/c912323b-ab87-4865-ab9f-5dc13a730e64,c912323b-ab87-4865-ab9f-5dc13a730e64,,"Cook, David W",,,,4,"Journal of Food Protection",,,,349-352,"Refrigeration of oyster shellstock: Conditions which minimize the outgrowth of Vibrio vulnificus",60,1997,0,17952,c912323b-ab87-4865-ab9f-5dc13a730e64,"Journal Article",/article/refrigeration-oyster-shellstock
/reference/c960463f-305a-4e24-a0d0-3081fc1a828d,https://data.globalchange.gov/reference/c960463f-305a-4e24-a0d0-3081fc1a828d,c960463f-305a-4e24-a0d0-3081fc1a828d,,"Ogden, Nicholas H.; Radojević, Milka; Wu, Xiaotian; Duvvuri, Venkata R.; Leighton, Patrick A.; Wu, Jianhong",10.1289/ehp.1307799,,1552-9924,,"Environmental Health Perspectives",,,"Ch4,9",631-638,"Estimated effects of projected climate change on the basic reproductive number of the Lyme disease vector Ixodes scapularis",122,2014,0,16160,c960463f-305a-4e24-a0d0-3081fc1a828d,"Journal Article",/article/10.1289/ehp.1307799
/reference/ca0a5fe6-c411-4cbe-b958-c4169261c92a,https://data.globalchange.gov/reference/ca0a5fe6-c411-4cbe-b958-c4169261c92a,ca0a5fe6-c411-4cbe-b958-c4169261c92a,,"Crum-Cianflone, Nancy F.",10.1196/annals.1406.001,,1749-6632,1,"Annals of the New York Academy of Sciences",,,,112-121,"Coccidioidomycosis in the U.S. Military: A Review",1111,2007,0,19241,ca0a5fe6-c411-4cbe-b958-c4169261c92a,"Journal Article",/article/10.1196/annals.1406.001
/reference/ca5c4b38-9aa8-4edc-9aea-42f1625cc45b,https://data.globalchange.gov/reference/ca5c4b38-9aa8-4edc-9aea-42f1625cc45b,ca5c4b38-9aa8-4edc-9aea-42f1625cc45b,,"Barbero, R.; Abatzoglou, J.T.; Larkin, N.K.; Kolden, C.A.; Stocks, B.",10.1071/WF15083,,1448-5516,,"International Journal of Wildland Fire",,,,,"Climate change presents increased potential for very large fires in the contiguous United States",,2015,0,19295,ca5c4b38-9aa8-4edc-9aea-42f1625cc45b,"Journal Article",/article/10.1071/WF15083
/reference/ca6e597a-80f9-48a1-9226-dd8ae697fd63,https://data.globalchange.gov/reference/ca6e597a-80f9-48a1-9226-dd8ae697fd63,ca6e597a-80f9-48a1-9226-dd8ae697fd63,,"Park, Benjamin J.; Sigel, Keith; Vaz, Victorio; Komatsu, Ken; McRill, Cheryl; Phelan, Maureen; Colman, Timothy; Comrie, A. C.; Warnock, D. W.; Galgiani, J. N.; Hajjeh, R. A.",10.1086/430092,,1537-6613,11,"The Journal of Infectious Diseases",,,,1981-1987,"An epidemic of Coccidioidomycosis in Arizona associated with climatic changes, 1998–2001",191,2005,0,17795,ca6e597a-80f9-48a1-9226-dd8ae697fd63,"Journal Article",/article/10.1086/430092
/reference/ca705054-749f-4c0a-b184-9d14fbbf79e9,https://data.globalchange.gov/reference/ca705054-749f-4c0a-b184-9d14fbbf79e9,ca705054-749f-4c0a-b184-9d14fbbf79e9,"The psychological responses of two groups of fire fighters were examined following the performance of rescue work. Four types of responses were reported: identification with the victims, feelings of helplessness and guilt, fear of the unknown, and physiological reactions. Stress was found to be mediated by availability of social support, type of leadership, level of training, and use of rituals. Implications of these findings for preventive intervention measures are discussed.","Fullerton, C. S.; McCarroll, J. E.; Ursano, R. J.; Wright, K. M.",10.1037/h0079363,Jul,1939-0025,3,"American Journal of Orthopsychiatry","Accidents, Aviation/*psychology; *Adaptation, Psychological; Adult; *Arousal; Attitude to Death; Fear; *Fires; Helplessness, Learned; Humans; Identification (Psychology); Iowa; Male; Middle Aged; Multiple Trauma/psychology; Occupational Diseases/*psychology; Psychotherapy, Group; *Relief Work; Stress Disorders, Post-Traumatic/*psychology",eng,"Fullerton, C S McCarroll, J E Ursano, R J Wright, K M Case Reports Journal Article United states Am J Orthopsychiatry. 1992 Jul;62(3):371-8.",371-378,"Psychological responses of rescue workers: Fire fighters and trauma",62,1992,0,18091,ca705054-749f-4c0a-b184-9d14fbbf79e9,"Journal Article",/article/10.1037/h0079363
/reference/ca70d728-88f3-44ae-aa3b-e67710ea350b,https://data.globalchange.gov/reference/ca70d728-88f3-44ae-aa3b-e67710ea350b,ca70d728-88f3-44ae-aa3b-e67710ea350b,"Virtually all current theories of choice under risk or uncertainty are cognitive and consequentialist. They assume that people assess the desirability and likelihood of possible outcomes of choice alternatives and integrate this information through some type of expectation-based calculus to arrive at a decision. The authors propose an alternative theoretical perspective, the risk-as-feelings hypothesis, that highlights the role of affect experienced at the moment of decision making. Drawing on research from clinical, physiological, and other subfields of psychology, they show that emotional reactions to risky situations often diverge from cognitive assessments of those risks. When such divergence occurs, emotional reactions often drive behavior. The risk-as-feelings hypothesis is shown to explain a wide range of phenomena that have resisted interpretation in cognitive–consequentialist terms. (PsycINFO Database Record (c) 2012 APA, all rights reserved)","Loewenstein, George F.
Weber, Elke U.
Hsee, Christopher K.
Welch, Ned",10.1037/0033-2909.127.2.267,,1939-1455,2,"Psychological Bulletin","*Choice Behavior
*Decision Making
*Emotional Responses
*Risk Assessment
Uncertainty",,,267-286,"Risk as feelings",127,2001,0,4463,ca70d728-88f3-44ae-aa3b-e67710ea350b,"Journal Article",/article/10.1037/0033-2909.127.2.267
/reference/cad573a0-8881-4151-a6d8-7deb5a0b60ee,https://data.globalchange.gov/reference/cad573a0-8881-4151-a6d8-7deb5a0b60ee,cad573a0-8881-4151-a6d8-7deb5a0b60ee,"Indigenous Peoples globally are part of the nutrition transition. They may be among the most extreme for the extent of dietary change experienced in the last few decades. In this paper, we report survey data from 44 representative communities from 3 large cultural areas of the Canadian Arctic: the Yukon First Nations, Dene/Metis, and Inuit communities. Dietary change was represented in 2 ways: 1) considering the current proportion of traditional food (TF) in contrast to the precontact period (100% TF); and 2) the amount of TF consumed by older vs. younger generations. Total diet, TF, and BMI data from adults were investigated. On days when TF was consumed, there was significantly less (P < 0.01) fat, carbohydrate, and sugar in the diet, and more protein, vitamin A, vitamin D, vitamin E, riboflavin, vitamin B-6, iron, zinc, copper, magnesium, manganese, phosphorus, potassium, and selenium. Vitamin C and folate, provided mainly by fortified food, and fiber were higher (P < 0.01) on days without TF for Inuit. Only 10-36% of energy was derived from TF; adults > 40 y old consistently consumed more (P < 0.05) TF than those younger. Overall obesity (BMI > or = 30 kg/m(2)) of Arctic adults exceeded all-Canadian rates. Measures to improve nutrient-dense market food (MF) availability and use are called for, as are ways to maintain or increase TF use.","Kuhnlein, H. V.; Receveur, O.; Soueida, R.; Egeland, G. M.",,Jun,1541-6100,6,"The Journal of Nutrition","Adult; Aging; Arctic Regions/epidemiology; Canada/epidemiology; *Diet; Female; Food Habits; Humans; Male; Middle Aged; Nutrition Surveys; *Nutritional Status; Obesity/epidemiology/*metabolism; *Population Groups; Prevalence",eng,"Kuhnlein, H V Receveur, O Soueida, R Egeland, G M Journal Article Research Support, Non-U.S. Gov't United States J Nutr. 2004 Jun;134(6):1447-53.",1447-1453,"Arctic indigenous peoples experience the nutrition transition with changing dietary patterns and obesity",134,2004,0,19088,cad573a0-8881-4151-a6d8-7deb5a0b60ee,"Journal Article",/article/pmc-15173410
/reference/cae8f1e3-29bb-4004-8ea8-149d395056fa,https://data.globalchange.gov/reference/cae8f1e3-29bb-4004-8ea8-149d395056fa,cae8f1e3-29bb-4004-8ea8-149d395056fa,"Effects of weather variables on suicide are well-documented, but there is still little consistency among the results of most studies. Nevertheless, most studies show a peak in suicides during the spring season, and this is often attributed to increased temperatures. The purpose of this study is to test the relationship between monthly temperature and monthly suicide, independent of months or seasons, for five counties located across the United States. Harmonic analysis shows that four of the five counties display some seasonal components in the suicide data. However, simple linear regression shows no correlation between suicide and temperature, and discriminant analysis shows that monthly departure from mean annual suicide rates is not a useful tool for identifying months with temperatures that are colder or warmer than the annual average. Therefore, it appears that the seasonality of suicides is due to factors other than temperature.","Dixon, P. G.; McDonald, A. N.; Scheitlin, K. N.; Stapleton, J. E.; Allen, J. S.; Carter, W. M.; Holley, M. R.; Inman, D. D.; Roberts, J. B.",10.1007/s00484-006-0081-4,May,1432-1254,5,"International Journal of Biometeorology","Climate; Female; Humans; Linear Models; Male; Seasons; Suicide/*statistics & numerical data; *Temperature; United States/epidemiology; *Weather",eng,"Dixon, P G McDonald, A N Scheitlin, K N Stapleton, J E Allen, J S Carter, W M Holley, M R Inman, D D Roberts, J B Journal Article United States Int J Biometeorol. 2007 May;51(5):395-403. Epub 2007 Jan 11.",395-403,"Effects of temperature variation on suicide in five U.S. counties, 1991-2001",51,2007,0,18083,cae8f1e3-29bb-4004-8ea8-149d395056fa,"Journal Article",/article/10.1007/s00484-006-0081-4
/reference/caf362f9-d06e-4b6f-a03b-d9b1ca3aceb4,https://data.globalchange.gov/reference/caf362f9-d06e-4b6f-a03b-d9b1ca3aceb4,caf362f9-d06e-4b6f-a03b-d9b1ca3aceb4,,"Hansen, Alana; Bi, Linda; Saniotis, Arthur; Nitschke, Monika",10.3402/gha.v6i0.21364,,1654-9880,0,"Global Health Action",,,,,"Vulnerability to extreme heat and climate change: Is ethnicity a factor?",6,2013,0,17599,caf362f9-d06e-4b6f-a03b-d9b1ca3aceb4,"Journal Article",/article/10.3402/gha.v6i0.21364
/reference/cafce94d-bc73-4cbf-ba51-53040f959937,https://data.globalchange.gov/reference/cafce94d-bc73-4cbf-ba51-53040f959937,cafce94d-bc73-4cbf-ba51-53040f959937,,"Ranson, Matthew",10.1016/j.jeem.2013.11.008,,1096-0449,3,"Journal of Environmental Economics and Management",,,,274-302,"Crime, weather, and climate change",67,2014,0,17616,cafce94d-bc73-4cbf-ba51-53040f959937,"Journal Article",/article/10.1016/j.jeem.2013.11.008
/reference/cb27553a-dfcd-4214-beb0-16314e7e7e68,https://data.globalchange.gov/reference/cb27553a-dfcd-4214-beb0-16314e7e7e68,cb27553a-dfcd-4214-beb0-16314e7e7e68,,"Hendrickson, Deja; Smith, Chery; Eikenberry, Nicole",10.1007/s10460-006-9002-8,,1572-8366,3,"Agriculture and Human Values",,,,371-383,"Fruit and vegetable access in four low-income food deserts communities in Minnesota",23,2006,0,17909,cb27553a-dfcd-4214-beb0-16314e7e7e68,"Journal Article",/article/10.1007/s10460-006-9002-8
/reference/cb3ad7db-a5a1-473e-bda9-ff18f5f06b6f,https://data.globalchange.gov/reference/cb3ad7db-a5a1-473e-bda9-ff18f5f06b6f,cb3ad7db-a5a1-473e-bda9-ff18f5f06b6f,,"Turner, Jeffrey W.; Malayil, Leena; Guadagnoli, Dominic; Cole, D.; Lipp, Erin K.",10.1111/1462-2920.12246,,1462-2920,4,"Environmental Microbiology",,,,1019-1028,"Detection of Vibrio parahaemolyticus , Vibrio vulnificus and Vibrio cholerae with respect to seasonal fluctuations in temperature and plankton abundance",16,2014,0,19046,cb3ad7db-a5a1-473e-bda9-ff18f5f06b6f,"Journal Article",/article/10.1111/1462-2920.12246
/reference/cb5916fb-a8a3-4950-a3b1-a2d2da55cc7c,https://data.globalchange.gov/reference/cb5916fb-a8a3-4950-a3b1-a2d2da55cc7c,cb5916fb-a8a3-4950-a3b1-a2d2da55cc7c,,"Li, B.
Sain, S.
Mearns, L.O.
Anderson, H.A.
Kovats, S.
Ebi, K.L.
Bekkedal, M.Y.V.
Kanarek, M.S.
Patz, J.A.",10.1007/s10584-011-0120-y,,0165-0009,3,"Climatic Change",,,,959-976,"The impact of extreme heat on morbidity in Milwaukee, Wisconsin",110,2012,0,888,cb5916fb-a8a3-4950-a3b1-a2d2da55cc7c,"Journal Article",/article/10.1007/s10584-011-0120-y
/reference/cb6b5a7f-1946-4c89-b3de-b78cfa3d4b15,https://data.globalchange.gov/reference/cb6b5a7f-1946-4c89-b3de-b78cfa3d4b15,cb6b5a7f-1946-4c89-b3de-b78cfa3d4b15,,"Lara, Rubén J.; Neogi, Sucharit B.; Islam, Mohammad S.; Mahmud, Zahid H.; Yamasaki, Shinji; Nair, Gopinath B.",10.1007/s10393-009-0257-6,2009/06/01,1612-9210,2,EcoHealth,"storms; tropical estuaries; vibrio; salinity; turbidity; sediment",English,,279-286,"Influence of catastrophic climatic events and human waste on Vibrio distribution in the Karnaphuli Estuary, Bangladesh",6,2009,0,19079,cb6b5a7f-1946-4c89-b3de-b78cfa3d4b15,"Journal Article",/article/10.1007/s10393-009-0257-6
/reference/cc1cadf6-db39-4b2d-99a5-c0c5a72e2002,https://data.globalchange.gov/reference/cc1cadf6-db39-4b2d-99a5-c0c5a72e2002,cc1cadf6-db39-4b2d-99a5-c0c5a72e2002,,"Werner, Carrie A.",,,,,,,,,19,"The Older Population: 2010",,2011,10,19125,cc1cadf6-db39-4b2d-99a5-c0c5a72e2002,Report,/report/census-c2010br-09
/reference/cc6cb487-ba29-472e-bcd9-8b0354ddcf29,https://data.globalchange.gov/reference/cc6cb487-ba29-472e-bcd9-8b0354ddcf29,cc6cb487-ba29-472e-bcd9-8b0354ddcf29,,"Beven, John L., II; Avila, L.A.; Blake, Eric S.; Brown, Daniel P.; Franklin, James L.; Knabb, Richard D.; Pasch, Richard J.; Rhome, Jamie R.; Stewart, Stacy R.",10.1175/2007MWR2074.1,,1520-0493,3,"Monthly Weather Review",,,,1109-1173,"Atlantic hurricane season of 2005",136,2008,0,19196,cc6cb487-ba29-472e-bcd9-8b0354ddcf29,"Journal Article",/article/10.1175/2007MWR2074.1