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/ac0d1490-bc44-4738-af3d-90d6a499dcbe,https://data.globalchange.gov/reference/ac0d1490-bc44-4738-af3d-90d6a499dcbe,ac0d1490-bc44-4738-af3d-90d6a499dcbe,"RATIONALE: The heat-related risk of hospitalization for respiratory diseases among the elderly has not been quantified in the United States on a national scale. With climate change predictions of more frequent and more intense heat waves, it is of paramount importance to quantify the health risks related to heat, especially for the most vulnerable. OBJECTIVES: To estimate the risk of hospitalization for respiratory diseases associated with outdoor heat in the U.S. elderly. METHODS: An observational study of approximately 12.5 million Medicare beneficiaries in 213 United States counties, January 1, 1999 to December 31, 2008. We estimate a national average relative risk of hospitalization for each 10 degrees F (5.6 degrees C) increase in daily outdoor temperature using Bayesian hierarchical models. MEASUREMENTS AND MAIN RESULTS: We obtained daily county-level rates of Medicare emergency respiratory hospitalizations (International Classification of Diseases, Ninth Revision, 464-466, 480-487, 490-492) in 213 U.S. counties from 1999 through 2008. Overall, each 10 degrees F increase in daily temperature was associated with a 4.3% increase in same-day emergency hospitalizations for respiratory diseases (95% posterior interval, 3.8, 4.8%). Counties' relative risks were significantly higher in counties with cooler average summer temperatures. CONCLUSIONS: We found strong evidence of an association between outdoor heat and respiratory hospitalizations in the largest population of elderly studied to date. Given projections of increasing temperatures from climate change and the increasing global prevalence of chronic pulmonary disease, the relationship between heat and respiratory morbidity is a growing concern.","Anderson, G. B.; Dominici, F.; Wang, Y.; McCormack, M. C.; Bell, M. L.; Peng, R. D.",10.1164/rccm.201211-1969OC,"May 15",1535-4970,10,"American Journal of Respiratory and Critical Care Medicine","Age Distribution; Aged; Aged, 80 and over; Bayes Theorem; Emergency Medical Services/ methods/statistics & numerical data; Female; Hospitalization/ statistics & numerical data; Hot Temperature/ adverse effects; Humans; Male; Medicare; Respiration Disorders/ epidemiology; Risk; United States/epidemiology",eng,"Anderson, G Brooke Dominici, Francesca Wang, Yun McCormack, Meredith C Bell, Michelle L Peng, Roger D K23ES016819/ES/NIEHS NIH HHS/United States P01ES018176/ES/NIEHS NIH HHS/United States R01ES012054/ES/NIEHS NIH HHS/United States R01ES015028/ES/NIEHS NIH HHS/United States R01ES019560/ES/NIEHS NIH HHS/United States R21ES020152/ES/NIEHS NIH HHS/United States R21ES021427/ES/NIEHS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. United States Am J Respir Crit Care Med. 2013 May 15;187(10):1098-103. doi: 10.1164/rccm.201211-1969OC.",1098-1103,"Heat-related emergency hospitalizations for respiratory diseases in the Medicare population",187,2013,0,4045,ac0d1490-bc44-4738-af3d-90d6a499dcbe,"Journal Article",/article/10.1164/rccm.201211-1969OC
/reference/ac2c6274-61ff-44dc-9e24-b55426fad974,https://data.globalchange.gov/reference/ac2c6274-61ff-44dc-9e24-b55426fad974,ac2c6274-61ff-44dc-9e24-b55426fad974,"BACKGROUND: Primary amebic meningoencephalitis (PAM), caused by the free-living ameba Naegleria fowleri, has historically been associated with warm freshwater exposures at lower latitudes of the United States. In August 2010, a Minnesota resident, aged 7 years, died of rapidly progressive meningoencephalitis after local freshwater exposures, with no history of travel outside the state. PAM was suspected on the basis of amebae observed in cerebrospinal fluid. METHODS: Water and sediment samples were collected at locations where the patient swam during the 2 weeks preceding illness onset. Patient and environmental samples were tested for N. fowleri with use of culture and real-time polymerase chain reaction (PCR); isolates were genotyped. Historic local ambient temperature data were obtained. RESULTS: N. fowleri isolated from a specimen of the patient's brain and from water and sediment samples was confirmed using PCR as N. fowleri genotype 3. Surface water temperatures at the times of collection of the positive environmental samples ranged from 22.1 degrees C to 24.5 degrees C. August 2010 average air temperature near the exposure site was 25 degrees C, 3.6 degrees C above normal and the third warmest for August in the Minneapolis area since 1891. CONCLUSIONS: This first reported case of PAM acquired in Minnesota occurred 550 miles north of the previously reported northernmost case in the Americas. Clinicians should be aware that N. fowleri-associated PAM can occur in areas at much higher latitude than previously described. Local weather patterns and long-term climate change could impact the frequency of PAM.","Kemble, S. K.; Lynfield, R.; DeVries, A. S.; Drehner, D. M.; Pomputius, W. F.; Beach, M. J.; Visvesvara, G. S.; da Silva, A. J.; Hill, V. R.; Yoder, J. S.; Xiao, L.; Smith, K. E.; Danila, R.",10.1093/cid/cir961,Mar,1537-6591,6,"Clinical Infectious Diseases","Amebiasis/cerebrospinal fluid/ parasitology; Animals; Brain/parasitology; Central Nervous System Protozoal Infections/cerebrospinal fluid/ parasitology; Child; Fatal Outcome; Female; Humans; Lakes/ parasitology; Minnesota; Naegleria fowleri/ isolation & purification; Swimming; Water Microbiology",eng,"Kemble, Sarah K Lynfield, Ruth DeVries, Aaron S Drehner, Dennis M Pomputius, William F 3rd Beach, Michael J Visvesvara, Govinda S da Silva, Alexandre J Hill, Vincent R Yoder, Jonathan S Xiao, Lihua Smith, Kirk E Danila, Richard 3U01CI000313/CI/NCPDCID CDC HHS/United States Case Reports Research Support, U.S. Gov't, P.H.S. United States Clin Infect Dis. 2012 Mar;54(6):805-9. doi: 10.1093/cid/cir961. Epub 2012 Jan 11.",805-809,"Fatal Naegleria fowleri infection acquired in Minnesota: Possible expanded range of a deadly thermophilic organism",54,2012,0,4638,ac2c6274-61ff-44dc-9e24-b55426fad974,"Journal Article",/article/10.1093/cid/cir961
/reference/ac3fd5f4-286e-4e2d-ab4b-22bda523f50e,https://data.globalchange.gov/reference/ac3fd5f4-286e-4e2d-ab4b-22bda523f50e,ac3fd5f4-286e-4e2d-ab4b-22bda523f50e,,ASCE,,,,,,,,,,"Report Card for America's Infrastructure",,2013,16,4314,ac3fd5f4-286e-4e2d-ab4b-22bda523f50e,"Web Page",/webpage/c711cda3-8fab-4a98-b389-e57ed2123c72
/reference/ac434d5d-1e92-4931-9eca-4cec2743ea2a,https://data.globalchange.gov/reference/ac434d5d-1e92-4931-9eca-4cec2743ea2a,ac434d5d-1e92-4931-9eca-4cec2743ea2a,,"Kaidar-Person, Orit; Person, Benjamin; Szomstein, Samuel; Rosenthal, Raul J.",10.1007/s11695-007-9350-5,,1708-0428,8,"Obesity Surgery",,,,1028-1034,"Nutritional deficiencies in morbidly obese patients: A new form of malnutrition?",18,2008,0,16197,ac434d5d-1e92-4931-9eca-4cec2743ea2a,"Journal Article",/article/10.1007/s11695-007-9350-5
/reference/ac45c05a-dd19-4d79-a262-ee941af799ef,https://data.globalchange.gov/reference/ac45c05a-dd19-4d79-a262-ee941af799ef,ac45c05a-dd19-4d79-a262-ee941af799ef,"Substantial epidemiological studies demonstrate associations between exposure to ambient ozone and mortality. A few studies simply examine the modification of this ozone effect by individual characteristics and socioeconomic status, but socioeconomic status was usually coded at the city level.","Ren, Cizao; Melly, Steve; Schwartz, Joel",10.1186/1476-069X-9-3,,1476-069X,1,"Environmental Health","Adult; Aged; Aged, 80 and over; Air Pollutants; Air Pollutants: analysis; Air Pollution; Air Pollution: statistics & numerical data; Cardiovascular Diseases; Cardiovascular Diseases: mortality; Diabetes Mellitus; Diabetes Mellitus: mortality; Environmental Exposure; Environmental Exposure: analysis; Environmental Monitoring; Female; Humans; Male; Massachusetts; Massachusetts: epidemiology; Middle Aged; Ozone; Ozone: analysis; Respiration Disorders; Respiration Disorders: mortality; Social Class",,,"Article 3","Modifiers of short-term effects of ozone on mortality in eastern Massachusetts — A case-crossover analysis at individual level",9,2010,0,18915,ac45c05a-dd19-4d79-a262-ee941af799ef,"Journal Article",/article/10.1186/1476-069X-9-3
/reference/ac6800d4-71db-4657-aaa8-e3b7a18a5cb9,https://data.globalchange.gov/reference/ac6800d4-71db-4657-aaa8-e3b7a18a5cb9,ac6800d4-71db-4657-aaa8-e3b7a18a5cb9,"Our understanding of the global dust cycle is limited by a dearth of information about dust sources, especially small-scale features which could account for a large fraction of global emissions. Here we present a global-scale high-resolution (0.1 degrees) mapping of sources based on Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue estimates of dust optical depth in conjunction with other data sets including land use. We ascribe dust sources to natural and anthropogenic (primarily agricultural) origins, calculate their respective contributions to emissions, and extensively compare these products against literature. Natural dust sources globally account for 75% of emissions; anthropogenic sources account for 25%. North Africa accounts for 55% of global dust emissions with only 8% being anthropogenic, mostly from the Sahel. Elsewhere, anthropogenic dust emissions can be much higher (75% in Australia). Hydro-logic dust sources (e. g., ephemeral water bodies) account for 31% worldwide; 15% of them are natural while 85% are anthropogenic. Globally, 20% of emissions are from vegetated surfaces, primarily desert shrublands and agricultural lands. Since anthropogenic dust sources are associated with land use and ephemeral water bodies, both in turn linked to the hydrological cycle, their emissions are affected by climate variability. Such changes in dust emissions can impact climate, air quality, and human health. Improved dust emission estimates will require a better mapping of threshold wind velocities, vegetation dynamics, and surface conditions (soil moisture and land use) especially in the sensitive regions identified here, as well as improved ability to address small-scale convective processes producing dust via cold pool (haboob) events frequent in monsoon regimes.","Ginoux, P.; Prospero, J. M.; Gill, T. E.; Hsu, N. C.; Zhao, M.",10.1029/2012rg000388,Aug,1944-9208,3,"Reviews of Geophysics","southwestern north-america; african mineral dust; regional air-quality; southern high-plains; last glacial period; san-joaquin valley; wind; erosion; desert dust; climate-change; optical-properties",English,"Times Cited: 13 Ginoux, Paul Prospero, Joseph M. Gill, Thomas E. Hsu, N. Christina Zhao, Ming NOAA [NA17AE1623]; U.S. National Science Foundation [OCE 0623189, AGS 0962256] The authors thank the AERONET program for establishing and maintaining the Sun photometer sites used in this study. We are grateful to the NASA TOMS and OMI science teams for providing the aerosol index. We are grateful to Catherine Raphael for helping with the figures. T. E. Gill acknowledges support via NOAA cooperative agreement NA17AE1623, and J. M. Prospero was supported by grants from the U.S. National Science Foundation, OCE 0623189 and AGS 0962256. Amer geophysical union Washington",RG3005,"Global-scale attribution of anthropogenic and natural dust sources and their emission rates based on MODIS Deep Blue aerosol products",50,2012,0,4458,ac6800d4-71db-4657-aaa8-e3b7a18a5cb9,"Journal Article",/article/10.1029/2012rg000388
/reference/ace25955-d337-4ffd-8569-4604e61589fe,https://data.globalchange.gov/reference/ace25955-d337-4ffd-8569-4604e61589fe,ace25955-d337-4ffd-8569-4604e61589fe,"Disasters can have wide-ranging effects on individuals and their communities. Loss of specific resources (e.g., household contents, job) following a disaster has not been well studied, despite the implications for preparedness efforts and postdisaster interventions. OBJECTIVE: To provide information about the effects of loss on postdisaster distress, the present study assessed associations between disaster-related variables, including the loss of specific resources, and postdisaster distress. METHOD: Random-digit dialing methodology was used to recruit hurricane-affected adults from Galveston and Chambers, TX, counties one year after Hurricane Ike. Data from 1,249 survivors were analyzed to identify predictors of distress. RESULTS: Variables that were significantly associated with posttraumatic stress disorder symptoms included sustained losses, hurricane exposure, and sociodemographic characteristics; similar results were obtained for depressive symptoms. CONCLUSIONS: Together, these findings suggest risk factors that may be associated with the development of posthurricane distress that can inform preparedness efforts and posthurricane interventions.","Paul, L. A.; Price, M.; Gros, D. F.; Gros, K. S.; McCauley, J. L.; Resnick, H. S.; Acierno, R.; Ruggiero, K. J.",10.1002/jclp.22026,Apr,0021-9762,4,"Journal of Clinical Psychology","Adolescent; Adult; Aged; Aged, 80 and over; Cyclonic Storms/*statistics & numerical data; Depression/epidemiology/*etiology; Disasters/statistics & numerical data; Female; Humans; Male; Middle Aged; Risk Factors; Socioeconomic Factors; Stress Disorders, Post-Traumatic/epidemiology/*etiology; Survivors/*psychology/statistics & numerical data; Texas/epidemiology; Young Adult; Ptsd; depression; disaster; hurricane; loss of resources",eng,"1097-4679 Paul, Lisa A Price, Matthew Gros, Daniel F Gros, Kirstin Stauffacher McCauley, Jenna L Resnick, Heidi S Acierno, Ron Ruggiero, Kenneth J P60 MH082598/MH/NIMH NIH HHS/United States R01 MH081056/MH/NIMH NIH HHS/United States R34 MH077149/MH/NIMH NIH HHS/United States T32 MH018869/MH/NIMH NIH HHS/United States Journal Article United States J Clin Psychol. 2014 Apr;70(4):322-32. doi: 10.1002/jclp.22026. Epub 2013 Jul 12.",322-332,"The associations between loss and posttraumatic stress and depressive symptoms following Hurricane Ike",70,2014,0,18154,ace25955-d337-4ffd-8569-4604e61589fe,"Journal Article",/article/10.1002/jclp.22026
/reference/acf6c590-86f9-4831-898a-1a91b51dad16,https://data.globalchange.gov/reference/acf6c590-86f9-4831-898a-1a91b51dad16,acf6c590-86f9-4831-898a-1a91b51dad16,,"Centers for Disease Control and Prevention (CDC)",,,1545-861X,33,"Morbidity and Mortality Weekly Report",,,,669-682,"Notice to readers: Final 2012 Reports of Nationally Notifiable Infectious Diseases",62,2013,0,16520,acf6c590-86f9-4831-898a-1a91b51dad16,"Journal Article",/article/pmid-24133698
/reference/acfeaa45-ff20-49fe-9031-2455027b3883,https://data.globalchange.gov/reference/acfeaa45-ff20-49fe-9031-2455027b3883,acfeaa45-ff20-49fe-9031-2455027b3883,,"Rose, Joan B.; Wu, Felicia",10.1093/med/9780190202453.003.0008,,,,,,,,157-172,"Waterborne and foodborne diseases",,2015,7,19274,acfeaa45-ff20-49fe-9031-2455027b3883,"Book Section",/book/bd2ae35f-c003-4dfa-b54e-1c57a72eddd1
/reference/ad196f19-4682-4f8b-a8a2-dddbcab62dd8,https://data.globalchange.gov/reference/ad196f19-4682-4f8b-a8a2-dddbcab62dd8,ad196f19-4682-4f8b-a8a2-dddbcab62dd8,,"Benmarhnia, T.; Deguen, S.; Kaufman, J.S.; Smargiassi, A.",10.1097/EDE.0000000000000375,,1531-5487,6,Epidemiology,,,,781-793,"Review article: Vulnerability to heat-related mortality: A systematic review, meta-analysis, and meta-regression analysis",26,2015,0,19301,ad196f19-4682-4f8b-a8a2-dddbcab62dd8,"Journal Article",/article/10.1097/EDE.0000000000000375
/reference/ad3c4329-eac0-47ea-8342-be6ca602610c,https://data.globalchange.gov/reference/ad3c4329-eac0-47ea-8342-be6ca602610c,ad3c4329-eac0-47ea-8342-be6ca602610c,,"Daley, W. Randolph; Smith, Andrew; Paz-Argandona, Enrique; Malilay, Josephine; McGeehin, Michael",10.1016/S0736-4679(99)00184-5,,0736-4679,1,"The Journal of Emergency Medicine",,,,87-93,"An outbreak of carbon monoxide poisoning after a major ice storm in Maine",18,2000,0,18992,ad3c4329-eac0-47ea-8342-be6ca602610c,"Journal Article",/article/10.1016/S0736-4679(99)00184-5
/reference/ad5fb3ba-9924-4df9-a68f-1e94822f78f9,https://data.globalchange.gov/reference/ad5fb3ba-9924-4df9-a68f-1e94822f78f9,ad5fb3ba-9924-4df9-a68f-1e94822f78f9,"We examined the variation in association between high temperatures and elderly mortality (age >/= 75 years) from year to year in 83 US cities between 1987 and 2000. We used a Poisson regression model and decomposed the mortality risk for high temperatures into: a ""main effect"" due to high temperatures using lagged non-linear function, and an ""added effect"" due to consecutive high temperature days. We pooled yearly effects across both regional and national levels. The high temperature effects (both main and added effects) on elderly mortality varied greatly from year to year. In every city there was at least one year where higher temperatures were associated with lower mortality. Years with relatively high heat-related mortality were often followed by years with relatively low mortality. These year to year changes have important consequences for heat-warning systems and for predictions of heat-related mortality due to climate change.","Guo, Y.; Barnett, A. G.; Tong, S.",10.1038/srep00830,,2045-2322,830,"Scientific Reports","Aged; Aged, 80 and over; Female; Hot Temperature; Humans; Male; Mortality; Seasons; Temperature; United States/epidemiology",eng,"Guo, Yuming Barnett, Adrian G Tong, Shilu Research Support, Non-U.S. Gov't England Sci Rep. 2012;2:830. doi: 10.1038/srep00830. Epub 2012 Nov 9.",,"High temperatures-related elderly mortality varied greatly from year to year: Important information for heat-warning systems",2,2012,0,4498,ad5fb3ba-9924-4df9-a68f-1e94822f78f9,"Journal Article",/article/10.1038/srep00830
/reference/ad69c664-54bc-4c2e-bc99-c86829c0ee35,https://data.globalchange.gov/reference/ad69c664-54bc-4c2e-bc99-c86829c0ee35,ad69c664-54bc-4c2e-bc99-c86829c0ee35,,"Heaney, C.D.; Wing, S.; Wilson, S.M.; Campbell, R.L.; Caldwell, D.; Hopkins, B.; O'Shea, S.; Yeatts, K.",,,0022-0892,10,"Journal of Environmental Health",,,,24-36,"Public infrastructure disparities and the microbiological and chemical safety of drinking and surface water supplies in a community bordering a landfill",75,2013,0,19303,ad69c664-54bc-4c2e-bc99-c86829c0ee35,"Journal Article",/article/pmid-23858663
/reference/ada33d6a-7403-4a59-9b6d-f2777dd75f38,https://data.globalchange.gov/reference/ada33d6a-7403-4a59-9b6d-f2777dd75f38,ada33d6a-7403-4a59-9b6d-f2777dd75f38,,"Ott, W.R.",,,,,,,,,"3-1 to 3-38","Human activity patterns: A review of the literature for estimating time spent indoors, outdoors, and in transit",EPA/600/4-89/004,1989,7,18530,ada33d6a-7403-4a59-9b6d-f2777dd75f38,"Book Section",
/reference/ae138b1a-a619-4312-a671-0f671a85662b,https://data.globalchange.gov/reference/ae138b1a-a619-4312-a671-0f671a85662b,ae138b1a-a619-4312-a671-0f671a85662b,"The new scenario framework for climate change research envisions combining pathways of future radiative forcing and their associated climate changes with alternative pathways of socioeconomic development in order to carry out research on climate change impacts, adaptation, and mitigation. Here we propose a conceptual framework for how to define and develop a set of Shared Socioeconomic Pathways (SSPs) for use within the scenario framework. We define SSPs as reference pathways describing plausible alternative trends in the evolution of society and ecosystems over a century timescale, in the absence of climate change or climate policies. We introduce the concept of a space of challenges to adaptation and to mitigation that should be spanned by the SSPs, and discuss how particular trends in social, economic, and environmental development could be combined to produce such outcomes. A comparison to the narratives from the scenarios developed in the Special Report on Emissions Scenarios (SRES) illustrates how a starting point for developing SSPs can be defined. We suggest initial development of a set of basic SSPs that could then be extended to meet more specific purposes, and envision a process of application of basic and extended SSPs that would be iterative and potentially lead to modification of the original SSPs themselves.","O’Neill, Brian C.; Kriegler, Elmar; Riahi, Keywan; Ebi, Kristie L.; Hallegatte, Stephane; Carter, Timothy R.; Mathur, Ritu; van Vuuren, Detlef P.",10.1007/s10584-013-0905-2,"February 01",1573-1480,3,"Climatic Change",,,,387-400,"A new scenario framework for climate change research: The concept of shared socioeconomic pathways",122,2014,0,16544,ae138b1a-a619-4312-a671-0f671a85662b,"Journal Article",/article/10.1007/s10584-013-0905-2
/reference/ae62c0bd-dc78-44f1-a80f-b34ac58b1970,https://data.globalchange.gov/reference/ae62c0bd-dc78-44f1-a80f-b34ac58b1970,ae62c0bd-dc78-44f1-a80f-b34ac58b1970,,"Anderson, Craig A.; Bushman, Brad J.; Groom, Ralph W.",10.1037/0022-3514.73.6.1213,,0022-3514,6,"Journal of Personality and Social Psychology",,,,1213-1223,"Hot years and serious and deadly assault: Empirical tests of the heat hypothesis",73,1997,0,16353,ae62c0bd-dc78-44f1-a80f-b34ac58b1970,"Journal Article",/article/10.1037/0022-3514.73.6.1213
/reference/aed02b78-4d7c-4cce-863e-f4cab8862321,https://data.globalchange.gov/reference/aed02b78-4d7c-4cce-863e-f4cab8862321,aed02b78-4d7c-4cce-863e-f4cab8862321,,"Thomas, Andrew C.; Weatherbee, Ryan; Xue, Huijie; Liu, Guimei",10.1016/j.hal.2010.03.002,,1878-1470,5,"Harmful Algae",,,,458-480,"Interannual variability of shellfish toxicity in the Gulf of Maine: Time and space patterns and links to environmental variability",9,2010,0,17477,aed02b78-4d7c-4cce-863e-f4cab8862321,"Journal Article",/article/10.1016/j.hal.2010.03.002
/reference/af26d1a8-db0b-4bf9-9760-1cae9f355e6e,https://data.globalchange.gov/reference/af26d1a8-db0b-4bf9-9760-1cae9f355e6e,af26d1a8-db0b-4bf9-9760-1cae9f355e6e,,"Brown, M.E.; Antle, J.M.; Backlund, P.; Carr, E.R.; Easterling, W.E.; Walsh, M.K.; Ammann, C.; Attavanich, W.; Barrett, C.B.; Bellemare, M.F.; Dancheck, V.; Funk, C.; Grace, K.; Ingram, J.S.I.; Jiang, H.; Maletta, H.; Mata, T.; Murray, A.; Ngugi, M.; Ojima, D.; O'Neill, B.; Tebaldi, C.",,,,,,,,,146,"Climate Change, Global Food Security and the U.S. Food System",,2015,10,19322,af26d1a8-db0b-4bf9-9760-1cae9f355e6e,Report,/report/usda-climate-change-global-food-security-us-food-system-2015
/reference/af729802-608b-4d90-a848-0796d625f332,https://data.globalchange.gov/reference/af729802-608b-4d90-a848-0796d625f332,af729802-608b-4d90-a848-0796d625f332,"SETTING: Asthma symptoms in adults in relation to the indoor environment. OBJECTIVES: To study the relationships between current asthma symptoms (wheeze or attacks of breathlessness) and the indoor environment and dampness in hospitals. DESIGN: A study among personnel (n = 87) in four geriatric hospitals in winter. Indoor air pollutants, dampness in the concrete floor, and allergens in settled dust were measured. Multiple logistic regression analysis was applied, adjusting for age, sex, atopy, and dampness in the participants' own dwellings. RESULTS: Current asthma symptoms were reported by 17%, and 8% had doctor's diagnosed asthma. Asthma symptoms were more common (adjusted odds ratio = 8.6; 95% confidence interval 1.3-56.7) in two buildings with signs of dampness-related degradation of di(ethylhexyl)-phthalate (DEHP) in polyvinyl chloride (PVC) floor material, detected as presence of 2-ethyl-1-hexanol (2-32 microg/m3) in indoor air (CAS nr 104-76-7). Asthma symptoms were related to higher relative humidity in the upper concrete floor construction, and ammonia in the floor. The newest hospital, built by an anthroposophic society, had low levels of dampness and few asthma symptoms (4%). Cat (Fel d1) and dog allergens (Can f1) were found in dust from all buildings (geometric mean 340 ng/g and 2490 ng/g, respectively). House dust mite allergens (Derp1, Derf1, or Derm1) were found in 75% of all samples (geometric mean 130 ng/g). There was no relationship between allergen levels and asthma symptoms. CONCLUSIONS: Asthma symptoms may be related to increased humidity in concrete floor constructions and emission of 2-ethyl-1-hexanol, an indicator of dampness-related alkaline degradation of plasticiser DEHP. Moreover, geriatric hospitals can be contaminated by significant amounts of cat, dog and mite allergens.","Norbäck, D.; Wieslander, G.; Nordström, K.; Wålinder, R.",,Nov,,11,"International Journal of Tuberculosis and Lung Disease","Air Pollution, Indoor/*adverse effects; Allergens; Asthma/epidemiology/*etiology; *Construction Materials; Diethylhexyl Phthalate/*adverse effects; Female; Hexanols/*adverse effects; Hospital Design and Construction; *Hospitals; Humans; Humidity/*adverse effects; Logistic Models; Male; Personnel, Hospital; Sweden/epidemiology",eng,"Norback, D Wieslander, G Nordstrom, K Walinder, R Journal Article Research Support, Non-U.S. Gov't France Int J Tuberc Lung Dis. 2000 Nov;4(11):1016-25.",1016-1025,"Asthma symptoms in relation to measured building dampness in upper concrete floor construction, and 2-ethyl-1-hexanol in indoor air",4,2000,0,18528,af729802-608b-4d90-a848-0796d625f332,"Journal Article",/article/pmid-11092713
/reference/af963b9b-9a41-4d23-b3a8-04fb1dd52ae5,https://data.globalchange.gov/reference/af963b9b-9a41-4d23-b3a8-04fb1dd52ae5,af963b9b-9a41-4d23-b3a8-04fb1dd52ae5,,"National Academies of Sciences Engineering and Medicine",,,,,,,,,,"Review of the Draft Interagency Report on the Impacts of Climate Change on Human Health in the United States",,2015,9,19305,af963b9b-9a41-4d23-b3a8-04fb1dd52ae5,Book,/report/nas-hareview-2015
/reference/afbd60ab-ba9f-4547-88e3-968bc3a4b949,https://data.globalchange.gov/reference/afbd60ab-ba9f-4547-88e3-968bc3a4b949,afbd60ab-ba9f-4547-88e3-968bc3a4b949,,"Jacob, D. J.
Winner, D. A.",10.1016/j.atmosenv.2008.09.051,,1352-2310,1,"Atmospheric Environment",,,,51-63,"Effect of climate change on air quality",43,2009,0,577,afbd60ab-ba9f-4547-88e3-968bc3a4b949,"Journal Article",/article/10.1016/j.atmosenv.2008.09.051
/reference/afc4d024-e3a0-436c-b037-28a2397bf4c7,https://data.globalchange.gov/reference/afc4d024-e3a0-436c-b037-28a2397bf4c7,afc4d024-e3a0-436c-b037-28a2397bf4c7,,"Rosenzweig, Cynthia; Iglesias, Ana; Yang, X. B.; Epstein, Paul R.; Chivian, Eric",10.1023/a:1015086831467,,1389-5702,2,"Global Change and Human Health",,,,90-104,"Climate change and extreme weather events: Implications for food production, plant diseases, and pests",2,2001,0,17938,afc4d024-e3a0-436c-b037-28a2397bf4c7,"Journal Article",/article/10.1023/a:1015086831467
/reference/b00a1349-fb5f-4e2d-b1bc-cfceb0863de2,https://data.globalchange.gov/reference/b00a1349-fb5f-4e2d-b1bc-cfceb0863de2,b00a1349-fb5f-4e2d-b1bc-cfceb0863de2,"Heat is an environmental and occupational hazard. The prevention of deaths in the community caused by extreme high temperatures (heat waves) is now an issue of public health concern. The risk of heat-related mortality increases with natural aging, but persons with particular social and/or physical vulnerability are also at risk. lmportant differences in vulnerability exist between populations, depending on climate, culture, infrastructure (housing), and other factors. Public health measures include health promotion and heat wave warning systems, but the effectiveness of acute measures in response to heat waves has not yet been formally evaluated. Climate change will increase the frequency and the intensity of heat waves, and a range of measures, including improvements to housing, management of chronic diseases, and institutional care of the elderly and the vulnerable, will need to be developed to reduce health impacts.","Kovats, R. S.
Hajat, S.",10.1146/annurev.publhealth.29.020907.090843,,0163-7525,,"Annual Review of Public Health","heat waves; early warning; mortality; august 2003; air-pollution; hospital admissions; united-states; excess mortality; elderly-people; french cities; risk-factors; hot weather; series data",English,"293QI; Times Cited:67; Cited References Count:100; Annual Review of Public Health",41-55,"Heat stress and public health: A critical review",29,2008,0,831,b00a1349-fb5f-4e2d-b1bc-cfceb0863de2,"Journal Article",/article/10.1146/annurev.publhealth.29.020907.090843
/reference/b02aadf3-74d2-4a96-b034-d5595c4aaa50,https://data.globalchange.gov/reference/b02aadf3-74d2-4a96-b034-d5595c4aaa50,b02aadf3-74d2-4a96-b034-d5595c4aaa50,,"Bonanno, George A.",10.1037/0003-066x.59.1.20,,1935-990X,1,"American Psychologist",,,,20-28,"Loss, trauma, and human resilience: Have we underestimated the human capacity to thrive after extremely aversive events?",59,2004,0,16355,b02aadf3-74d2-4a96-b034-d5595c4aaa50,"Journal Article",/article/10.1037/0003-066x.59.1.20
/reference/b043eeb2-18ba-4344-b574-9e59aacd6547,https://data.globalchange.gov/reference/b043eeb2-18ba-4344-b574-9e59aacd6547,b043eeb2-18ba-4344-b574-9e59aacd6547,"We show that the spatial-temporal variability of human West Nile (WN) cases and the transmission of West Nile virus (WNV) to sentinel chickens are associated with the spatial-temporal variability of drought and wetting in southern Florida. Land surface wetness conditions at 52 sites in 31 counties in southern Florida for 2001-2003 were simulated and compared with the occurrence of human WN cases and the transmission of WNV to sentinel chickens within these counties. Both WNV transmission to sentinel chickens and the occurrence of human WN cases were associated with drought 2-6 mo prior and land surface wetting 0.5-1.5 mo prior. These dynamics are similar to the amplification and transmission patterns found in southern Florida for the closely related St. Louis encephalitis virus. Drought brings avian hosts and vector mosquitoes into close contact and facilitates the epizootic cycling and amplification of the arboviruses within these populations. Southern Florida has not recorded a severe, widespread drought since the introduction of WNV into the state in 2001. Our results indicate that widespread drought in the spring followed by wetting during summer greatly increase the probability of a WNV epidemic in southern Florida.","Shaman, J.; Day, J. F.; Stieglitz, M.",10.1093/jmedent/42.2.134,Mar,1938-2928,2,"Journal of Medical Entomology","Animals; Chickens; *Disasters; Florida; Humans; Logistic Models; Poultry Diseases/transmission/virology; West Nile Fever/*epidemiology/*transmission/veterinary; *West Nile virus",,"Shaman, Jeffrey Day, Jonathan F Stieglitz, Marc eng Research Support, Non-U.S. Gov't 2005/04/01 09:00 J Med Entomol. 2005 Mar;42(2):134-41.",134-141,"Drought-induced amplification and epidemic transmission of West Nile virus in southern Florida",42,2005,0,18037,b043eeb2-18ba-4344-b574-9e59aacd6547,"Journal Article",/article/10.1093/jmedent/42.2.134
/reference/b05850d3-a9d7-4395-8588-5e27531c160a,https://data.globalchange.gov/reference/b05850d3-a9d7-4395-8588-5e27531c160a,b05850d3-a9d7-4395-8588-5e27531c160a,"This paper summarizes the main characteristics of the RCP8.5 scenario. The RCP8.5 combines assumptions about high population and relatively slow income growth with modest rates of technological change and energy intensity improvements, leading in the long term to high energy demand and GHG emissions in absence of climate change policies. Compared to the total set of Representative Concentration Pathways (RCPs), RCP8.5 thus corresponds to the pathway with the highest greenhouse gas emissions. Using the IIASA Integrated Assessment Framework and the MESSAGE model for the development of the RCP8.5, we focus in this paper on two important extensions compared to earlier scenarios: 1) the development of spatially explicit air pollution projections, and 2) enhancements in the land-use and land-cover change projections. In addition, we explore scenario variants that use RCP8.5 as a baseline, and assume different degrees of greenhouse gas mitigation policies to reduce radiative forcing. Based on our modeling framework, we find it technically possible to limit forcing from RCP8.5 to lower levels comparable to the other RCPs (2.6 to 6 W/m2). Our scenario analysis further indicates that climate policy-induced changes of global energy supply and demand may lead to significant co-benefits for other policy priorities, such as local air pollution.","Riahi, Keywan; Rao, Shilpa; Krey, Volker; Cho, Cheolhung; Chirkov, Vadim; Fischer, Guenther; Kindermann, Georg; Nakicenovic, Nebojsa; Rafaj, Peter",10.1007/s10584-011-0149-y,2011/11/01,1573-1480,1,"Climatic Change",,English,"http://dx.doi.org/10.1007/s10584-011-0149-y http://download.springer.com/static/pdf/700/art%253A10.1007%252Fs10584-011-0149-y.pdf?auth66=1425485968_7daa7e5c67b5c076ffbfaa49b9de9c05&ext=.pdf",33-57,"RCP 8.5—A scenario of comparatively high greenhouse gas emissions",109,2011,0,18539,b05850d3-a9d7-4395-8588-5e27531c160a,"Journal Article",/article/10.1007/s10584-011-0149-y
/reference/b0633efb-02c8-4e25-b820-fff9665dd4a3,https://data.globalchange.gov/reference/b0633efb-02c8-4e25-b820-fff9665dd4a3,b0633efb-02c8-4e25-b820-fff9665dd4a3,,"Baja, Emmanuel S.; Schwartz, Joel D.; Wellenius, Gregory A.; Coull, Brent A.; Zanobetti, Antonella; Vokonas, Pantel S.; Suh, Helen H.",10.1289/ehp.0901396,,1552-9924,6,"Environmental Health Perspectives",,,,840-846,"Traffic-related air pollution and QT interval: Modification by diabetes, obesity, and oxidative stress gene polymorphisms in the normative aging study",118,2010,0,17825,b0633efb-02c8-4e25-b820-fff9665dd4a3,"Journal Article",/article/10.1289/ehp.0901396
/reference/b0818c9e-b245-44be-9851-213def5d25da,https://data.globalchange.gov/reference/b0818c9e-b245-44be-9851-213def5d25da,b0818c9e-b245-44be-9851-213def5d25da,,"Bullard, R.
Wright, B.",,,,,,,,,1-15,Introduction,,2009,7,4696,b0818c9e-b245-44be-9851-213def5d25da,"Book Section",/book/1570e6bf-685a-47bd-923b-15a56e13e6f6
/reference/b0ab019c-3ea7-4e75-986c-2cc74541c187,https://data.globalchange.gov/reference/b0ab019c-3ea7-4e75-986c-2cc74541c187,b0ab019c-3ea7-4e75-986c-2cc74541c187,"Causal attribution of recent biological trends to climate change is complicated because non-climatic influences dominate local, short-term biological changes. Any underlying signal from climate change is likely to be revealed by analyses that seek systematic trends across diverse species and geographic regions; however, debates within the Intergovernmental Panel on Climate Change (IPCC) reveal several definitions of a 'systematic trend'. Here, we explore these differences, apply diverse analyses to more than 1,700 species, and show that recent biological trends match climate change predictions. Global meta-analyses documented significant range shifts averaging 6.1 km per decade towards the poles ( or metres per decade upward), and significant mean advancement of spring events by 2.3 days per decade. We define a diagnostic fingerprint of temporal and spatial 'sign-switching' responses uniquely predicted by twentieth century climate trends. Among appropriate long-term/large-scale/multi-species data sets, this diagnostic fingerprint was found for 279 species. This suite of analyses generates 'very high confidence' (as laid down by the IPCC) that climate change is already affecting living systems.","Parmesan, C.
Yohe, G.",10.1038/nature01286,"JAN 2 2003",0028-0836,6918,Nature,"EGG-LAYING TRENDS; BRITISH BUTTERFLIES; PHENOLOGY; PLANTS; RESPONSES; BIRDS; TIME; TEMPERATURE; ABUNDANCE; MOUNTAIN",English,,37-42,"A globally coherent fingerprint of climate change impacts across natural systems",421,2003,0,2431,b0ab019c-3ea7-4e75-986c-2cc74541c187,"Journal Article",/article/10.1038/nature01286
/reference/b0beccb3-8f38-4c89-b19f-268129df9188,https://data.globalchange.gov/reference/b0beccb3-8f38-4c89-b19f-268129df9188,b0beccb3-8f38-4c89-b19f-268129df9188,"There is a paucity of research investigating the relationship of community-level characteristics such as collective efficacy and posttraumatic stress following disasters. We examine the association of collective efficacy with probable posttraumatic stress disorder and posttraumatic stress disorder symptom severity in Florida public health workers (n = 2249) exposed to the 2004 hurricane season using a multilevel approach. Anonymous questionnaires were distributed electronically to all Florida Department of Health personnel nine months after the 2004 hurricane season. The collected data were used to assess posttraumatic stress disorder and collective efficacy measured at both the individual and zip code levels. The majority of participants were female (80.42%), and ages ranged from 20 to 78 years (median = 49 years); 73.91% were European American, 13.25% were African American, and 8.65% were Hispanic. Using multi-level analysis, our data indicate that higher community-level and individual-level collective efficacy were associated with a lower likelihood of having posttraumatic stress disorder (OR = 0.93, CI = 0.88-0.98; and OR = 0.94, CI = 0.92-0.97, respectively), even after adjusting for individual sociodemographic variables, community socioeconomic characteristic variables, individual injury/damage, and community storm damage. Higher levels of community-level collective efficacy and individual-level collective efficacy were also associated with significantly lower posttraumatic stress disorder symptom severity (b = -0.22, p<0.01; and b = -0.17, p<0.01, respectively), after adjusting for the same covariates. Lower rates of posttraumatic stress disorder are associated with communities with higher collective efficacy. Programs enhancing community collective efficacy may be an important part of prevention practices and possibly lead to a reduction in the rate of posttraumatic stress disorder post-disaster.","Ursano, R. J.; McKibben, J. B.A.; Reissman, D. B.; Liu, X.; Wang, L.; Sampson, R. J.; Fullerton, C. S.",10.1371/journal.pone.0088467,,1932-6203,2,"PLoS ONE","Adult; Aged; Cross-Sectional Studies; *Cyclonic Storms; *Disaster Planning; *Disasters; Female; Florida; Follow-Up Studies; Humans; Male; Middle Aged; Probability; Regression Analysis; Residence Characteristics; Stress Disorders, Post-Traumatic/diagnosis/*epidemiology; Young Adult",eng,"1932-6203 Ursano, Robert J McKibben, Jodi B A Reissman, Dori B Liu, Xian Wang, Leming Sampson, Robert J Fullerton, Carol S Journal Article Research Support, U.S. Gov't, P.H.S. United States PLoS One. 2014 Feb 11;9(2):e88467. doi: 10.1371/journal.pone.0088467. eCollection 2014.",e88467,"Posttraumatic stress disorder and community collective efficacy following the 2004 Florida hurricanes",9,2014,0,18198,b0beccb3-8f38-4c89-b19f-268129df9188,"Journal Article",/article/10.1371/journal.pone.0088467
/reference/b0feeaed-86a7-473c-8f3f-1b258a66576b,https://data.globalchange.gov/reference/b0feeaed-86a7-473c-8f3f-1b258a66576b,b0feeaed-86a7-473c-8f3f-1b258a66576b,,WHO,,,,,,,,,,"International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD–10)",,2004,9,18822,b0feeaed-86a7-473c-8f3f-1b258a66576b,Book,/book/international-statistical-classification-diseases-related-health-problems-10th-revision-icd-10
/reference/b10f189e-fbfa-44fc-b7b5-48966591f9ba,https://data.globalchange.gov/reference/b10f189e-fbfa-44fc-b7b5-48966591f9ba,b10f189e-fbfa-44fc-b7b5-48966591f9ba,,"Watkiss, Paul; Hunt, Alistair",10.1007/s10584-011-0342-z,,1573-1480,1,"Climatic Change",,,,101-126,"Projection of economic impacts of climate change in sectors of Europe based on bottom up analysis: Human health",112,2012,0,17622,b10f189e-fbfa-44fc-b7b5-48966591f9ba,"Journal Article",/article/10.1007/s10584-011-0342-z
/reference/b12cf27a-61d1-4b92-ba42-153a411c841d,https://data.globalchange.gov/reference/b12cf27a-61d1-4b92-ba42-153a411c841d,b12cf27a-61d1-4b92-ba42-153a411c841d,,"Mead, Paul S.",10.1016/j.idc.2015.02.010,,0891-5520,2,"Infectious Disease Clinics of North America",,,,187-210,"Epidemiology of Lyme disease",29,2015,0,19272,b12cf27a-61d1-4b92-ba42-153a411c841d,"Journal Article",/article/10.1016/j.idc.2015.02.010
/reference/b16d7a9b-9001-45a6-9728-4ca0f191dbac,https://data.globalchange.gov/reference/b16d7a9b-9001-45a6-9728-4ca0f191dbac,b16d7a9b-9001-45a6-9728-4ca0f191dbac,,"Converse, Reagan R.; Piehler, Michael F.; Noble, Rachel T.",10.1016/j.watres.2011.07.029,,1879-2448,16,"Water Research",,,,5229-5240,"Contrasts in concentrations and loads of conventional and alternative indicators of fecal contamination in coastal stormwater",45,2011,0,18854,b16d7a9b-9001-45a6-9728-4ca0f191dbac,"Journal Article",/article/10.1016/j.watres.2011.07.029
/reference/b18cdaac-0f7f-48ef-a9b9-ec3e27006924,https://data.globalchange.gov/reference/b18cdaac-0f7f-48ef-a9b9-ec3e27006924,b18cdaac-0f7f-48ef-a9b9-ec3e27006924,,"Reeves, W. C.; Asman, S. M.; Hardy, J. L.; Milby, M. M.; Reisen, W. K.",,,,,,,,,,"Epidemiology and Control of Mosquito-Borne Arboviruses in California, 1943-1987",,1990,9,18348,b18cdaac-0f7f-48ef-a9b9-ec3e27006924,Book,/book/d1dc2945-01c4-47c9-b59d-b4a6ef24ef55
/reference/b1960f91-38e8-4ba1-8aca-6243531af792,https://data.globalchange.gov/reference/b1960f91-38e8-4ba1-8aca-6243531af792,b1960f91-38e8-4ba1-8aca-6243531af792,,"Liu, J.; Song, M.; Horton, R. M.; Hu, Y.",10.1073/pnas.1219716110,,1091-6490,31,"Proceedings of the National Academy of Sciences of the United States of America",,,,12571-12576,"Reducing spread in climate model projections of a September ice-free Arctic",110,2013,0,17610,b1960f91-38e8-4ba1-8aca-6243531af792,"Journal Article",/article/10.1073/pnas.1219716110
/reference/b19798fc-5edc-4ae0-8a7f-a303d1185405,https://data.globalchange.gov/reference/b19798fc-5edc-4ae0-8a7f-a303d1185405,b19798fc-5edc-4ae0-8a7f-a303d1185405,,"van Vuuren, Detlef P.; Kriegler, Elmar; O’Neill, Brian C.; Ebi, Kristie L.; Riahi, Keywan; Carter, Timothy R.; Edmonds, Jae; Hallegatte, Stephane; Kram, Tom; Mathur, Ritu; Winkler, Harald",10.1007/s10584-013-0906-1,,1573-1480,3,"Climatic Change",,,,373-386,"A new scenario framework for climate change research: Scenario matrix architecture",122,2014,0,16550,b19798fc-5edc-4ae0-8a7f-a303d1185405,"Journal Article",/article/10.1007/s10584-013-0906-1
/reference/b1d1a01e-78e1-4b26-a8b4-513c43a7240c,https://data.globalchange.gov/reference/b1d1a01e-78e1-4b26-a8b4-513c43a7240c,b1d1a01e-78e1-4b26-a8b4-513c43a7240c,,"D'Amato, G.; Cecchi, L.",10.1111/j.1365-2222.2008.03033.x,,1365-2222,8,"Clinical & Experimental Allergy",,,,1264-1274,"Effects of climate change on environmental factors in respiratory allergic diseases",38,2008,0,19011,b1d1a01e-78e1-4b26-a8b4-513c43a7240c,"Journal Article",/article/10.1111/j.1365-2222.2008.03033.x
/reference/b1f666b7-a2e6-42bf-8c83-e16b40262f8c,https://data.globalchange.gov/reference/b1f666b7-a2e6-42bf-8c83-e16b40262f8c,b1f666b7-a2e6-42bf-8c83-e16b40262f8c,,CDC,,,,,,,,,,"Diabetes Public Health Resource: Rate per 100 of Civilian, Noninstitutionalized Population with Diagnosed Diabetes, by Age, United States, 1980-2011",,2014,16,18236,b1f666b7-a2e6-42bf-8c83-e16b40262f8c,"Web Page",/webpage/8d2e7fab-f1f9-4fac-a490-41a676d039d0
/reference/b20302a7-6296-46df-ac3b-31c8416359dd,https://data.globalchange.gov/reference/b20302a7-6296-46df-ac3b-31c8416359dd,b20302a7-6296-46df-ac3b-31c8416359dd,,"Bush, Kathleen F.; Fossani, Cheryl L.; Li, Shi; Mukherjee, Bhramar; Gronlund, Carina J.; O'Neill, Marie S.",10.3390/ijerph110202014,,1660-4601,2,"International Journal of Environmental Research and Public Health",,,,2014-2032,"Extreme precipitation and beach closures in the Great Lakes region: Evaluating risk among the elderly",11,2014,0,19237,b20302a7-6296-46df-ac3b-31c8416359dd,"Journal Article",/article/10.3390/ijerph110202014
/reference/b2478b30-64a8-4075-88d1-2e04fa0fecd0,https://data.globalchange.gov/reference/b2478b30-64a8-4075-88d1-2e04fa0fecd0,b2478b30-64a8-4075-88d1-2e04fa0fecd0,,"Brahney, J.; Ballantyne, A. P.; Sievers, C.; Neff, J. C.",10.1016/j.aeolia.2013.04.003,,1875-9637,,"Aeolian Research",,,,77-87,"Increasing Ca2+ deposition in the western US: The role of mineral aerosols",10,2013,0,17571,b2478b30-64a8-4075-88d1-2e04fa0fecd0,"Journal Article",/article/10.1016/j.aeolia.2013.04.003
/reference/b27bf60e-d34a-4b8f-b2e2-71ccd0839704,https://data.globalchange.gov/reference/b27bf60e-d34a-4b8f-b2e2-71ccd0839704,b27bf60e-d34a-4b8f-b2e2-71ccd0839704,,"Cannon, Susan H.; Gartner, Joseph E.; Wilson, Raymond C.; Bowers, James C.; Laber, Jayme L.",10.1016/j.geomorph.2007.03.019,,1872-695X,3-4,Geomorphology,,,,250-269,"Storm rainfall conditions for floods and debris flows from recently burned areas in southwestern Colorado and southern California",96,2008,0,17769,b27bf60e-d34a-4b8f-b2e2-71ccd0839704,"Journal Article",/article/10.1016/j.geomorph.2007.03.019
/reference/b2c1fa72-8eb0-4983-9281-331db52c5b8e,https://data.globalchange.gov/reference/b2c1fa72-8eb0-4983-9281-331db52c5b8e,b2c1fa72-8eb0-4983-9281-331db52c5b8e,,USGS,,,,,,,,,,"USGS Water Resources: 07010000 Mississippi River at St. Louis, MO",,2015,48,18315,b2c1fa72-8eb0-4983-9281-331db52c5b8e,"Online Multimedia",/dataset/usgs-07010000
/reference/b2d84a9f-08d8-4ea9-a2a7-cef119cc41bb,https://data.globalchange.gov/reference/b2d84a9f-08d8-4ea9-a2a7-cef119cc41bb,b2d84a9f-08d8-4ea9-a2a7-cef119cc41bb,,"Ezzati, Majid; Lopez, Alan D.; Rodgers, Anthony; Vander Hoorn, Stephen; Murray, Christopher J. L.",10.1016/s0140-6736(02)11403-6,,1474-547X,9343,"The Lancet",,,,1347-1360,"Selected major risk factors and global and regional burden of disease",360,2002,0,18296,b2d84a9f-08d8-4ea9-a2a7-cef119cc41bb,"Journal Article",/article/10.1016/s0140-6736(02)11403-6
/reference/b2ecd523-a160-4c51-8a7f-48249a3e707c,https://data.globalchange.gov/reference/b2ecd523-a160-4c51-8a7f-48249a3e707c,b2ecd523-a160-4c51-8a7f-48249a3e707c,"Objectives. We estimated the effects of snowfalls on US traffic crash rates between 1975 and 2000. Methods. We linked all recorded fatal crashes (1.4 million) for the 48 contiguous states from 1975 through 2000 to daily state weather data. For a subsample including 17 states during the 1990s, we also linked all recorded property-damage-only crashes (22.9 million) and nonfatal-injury crashes (13.5 million) to daily weather data. Employing negative binomial regressions, we investigated the effects of snowfall on crash counts. Fixed effects and other controls were included to address potential confounders. Results. Snow days had fewer fatal crashes than dry days (incidence rate ratio [IRR] = 0.93; 95% confidence interval [CI] = 0.90, 0.97), but more nonfatal-injury crashes (IRR = 1.23; 95% CI = 1.18, 1.29) and property-damage-only crashes (IRR=1.45; 95% CI=1.38, 1.52). The first snowy day of the year was substantially more dangerous than other snow days in terms of fatalities (IRR = 1.14; 95% CI=1.08, 1.21), particularly for elderly drivers (IRR=1.34; 95% CI=1.23, 1.50). Conclusions. The toll of snow-related crashes is substantial. Our results may help estimate the potential benefits of safety innovations currently proposed by meteorology and traffic safety experts.","Eisenberg, Daniel; Warner, Kenneth E.",10.2105/AJPH.2004.048926,08/08/accepted,1541-0048,1,"American Journal of Public Health",,,"0950120[PII] 15623871[pmid] Am J Public Health",120-124,"Effects of snowfalls on motor vehicle collisions, injuries, and fatalities",95,2005,0,19003,b2ecd523-a160-4c51-8a7f-48249a3e707c,"Journal Article",/article/10.2105/AJPH.2004.048926
/reference/b2f32879-6a7c-4f28-b53e-4e04a8aa0b1e,https://data.globalchange.gov/reference/b2f32879-6a7c-4f28-b53e-4e04a8aa0b1e,b2f32879-6a7c-4f28-b53e-4e04a8aa0b1e,,"Bradbury, Kenneth R.; Borchardt, Mark A.; Gotkowitz, Madeline; Spencer, Susan K.; Zhu, Jun; Hunt, Randall J.",10.1021/es400509b,,1520-5851,9,"Environmental Science & Technology",,,,4096-4103,"Source and transport of human enteric viruses in deep municipal water supply wells",47,2013,0,18856,b2f32879-6a7c-4f28-b53e-4e04a8aa0b1e,"Journal Article",/article/10.1021/es400509b
/reference/b301189b-8b4d-4133-b416-a2c0a927e5ed,https://data.globalchange.gov/reference/b301189b-8b4d-4133-b416-a2c0a927e5ed,b301189b-8b4d-4133-b416-a2c0a927e5ed,,"Banks, Donice M.; Weems, Carl F.",10.1037/ort0000006,,1939-0025,4,"American Journal of Orthopsychiatry",,,,341-352,"Family and peer social support and their links to psychological distress among hurricane-exposed minority youth",84,2014,0,16354,b301189b-8b4d-4133-b416-a2c0a927e5ed,"Journal Article",/article/10.1037/ort0000006
/reference/b33a1767-eafa-4c24-a1a3-001ba39eb319,https://data.globalchange.gov/reference/b33a1767-eafa-4c24-a1a3-001ba39eb319,b33a1767-eafa-4c24-a1a3-001ba39eb319,,"Neu, J. L.; Prather, M. J.",10.5194/acp-12-3289-2012,,1680-7324,7,"Atmospheric Chemistry and Physics",,,,3289-3310,"Toward a more physical representation of precipitation scavenging in global chemistry models: Cloud overlap and ice physics and their impact on tropospheric ozone",12,2012,0,16329,b33a1767-eafa-4c24-a1a3-001ba39eb319,"Journal Article",/article/10.5194/acp-12-3289-2012
/reference/b34f08d0-0c2b-4265-b3c1-1cd9aeb2d9d2,https://data.globalchange.gov/reference/b34f08d0-0c2b-4265-b3c1-1cd9aeb2d9d2,b34f08d0-0c2b-4265-b3c1-1cd9aeb2d9d2,,"Lipp, Erin K.; Rodriguez-Palacios, Cesar; Rose, Joan B.",10.1007/978-94-017-3284-0_15,,,,,,,,165-173,"Occurrence and distribution of the human pathogen Vibrio vulnificus in a subtropical Gulf of Mexico estuary",,2001,7,18860,b34f08d0-0c2b-4265-b3c1-1cd9aeb2d9d2,"Book Section",/book/d78b0707-bf0b-4712-b262-345eed5c8c1d
/reference/b35f1b61-932d-4305-842e-9d6473d0823f,https://data.globalchange.gov/reference/b35f1b61-932d-4305-842e-9d6473d0823f,b35f1b61-932d-4305-842e-9d6473d0823f,"In the absence of a vaccine for use in humans against West Nile virus (WNV), mosquito control and personal protection against mosquito bites are the only measures available to prevent disease. Improved spatial targeting is desirable for costly mosquito and WNV surveillance and control schemes. We used a multivariate regression modeling approach to develop spatial models predicting high risk of exposure to WNV in western and eastern Colorado based on associations between Geographic Information System-derived environmental data and zip code of residence for 3,659 human WNV disease cases from 2002 to 2006. Models were robust, with user accuracies for correct classification of high risk areas of 67-80%. The importance of selecting a suitable model development area in an ecologically and climatically diverse environment was shown by models based on data from the eastern plains landscape performing poorly in the mountainous western part of Colorado and vice versa.","Winters, A. M.; Eisen, R. J.; Lozano-Fuentes, S.; Moore, C. G.; Pape, W. J.; Eisen, L.",,Oct,0002-9637,4,"The American Journal of Tropical Medicine and Hygiene","Colorado/epidemiology; Humans; Incidence; Logistic Models; Mosquito Control; Multivariate Analysis; Risk; Temperature; Time Factors; West Nile Fever/*epidemiology/etiology/prevention & control",,"Winters, Anna M Eisen, Rebecca J Lozano-Fuentes, Saul Moore, Chester G Pape, W John Eisen, Lars eng AI-25489/AI/NIAID NIH HHS/ N01 AI025489/AI/NIAID NIH HHS/ T01/CCT822307/PHS HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. 2008/10/09 09:00 Am J Trop Med Hyg. 2008 Oct;79(4):581-90.",581-590,"Predictive spatial models for risk of West Nile virus exposure in eastern and western Colorado",79,2008,0,18045,b35f1b61-932d-4305-842e-9d6473d0823f,"Journal Article",/article/predictive-spatial-models-risk-west-nile-virus-exposure-eastern