uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Title,attrs.Volume,attrs.Year,attrs.\.reference_type,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/18111e41-6df6-45d5-9ff0-8f6814de8bb4,https://data.globalchange.gov/reference/18111e41-6df6-45d5-9ff0-8f6814de8bb4,18111e41-6df6-45d5-9ff0-8f6814de8bb4,"The effects of climate change on ozone and PM2.5 concentrations over the eastern United States were investigated using the Global-Regional Coupled Air Pollution modeling System (GRE-CAPS). GRE-CAPS consists of the Goddard Institute for Space Studies (GISS) II’ general circulation model with aerosol processes and ozone chemistry, the fifth-generation PSU/NCAR mesoscale model (MM5) regional meteorological model, and the Comprehensive Air Quality Model with Extensions (CAMx) with aerosol (PM) processes developed at Carnegie Mellon University (PMCAMx) regional chemical transport model. A set of five present-day Januaries and six present-day Julys was simulated using GRE-CAPS. The present-day model predictions (2000s) were compared to model predictions for a set of five future Januaries and Julys. The future time period investigated was the 2050s, using the Intergovernmental Panel on Climate Change A2 scenario. U.S. emissions of biogenic and anthropogenic precursors were held constant so that the effects of climate change alone could be calculated. Climate change led to a decrease in U.S. land cell average January PM2.5 concentrations of 0.3 mgm?3 and an increase of July PM2.5 of 2.5 mgm?3. The changes in PM in the Northeast were of the opposite sign of the domain-wide averages. The response in January was due largely to increased precipitation, while the response in July was due primarily to decreased ventilation, as indicated by decreases in mixing height and wind speed, with increases in sulfate being the largest response by a single species. The U.S. land cell average change in July daily maximum 8-h ozone concentration was +1.7 ppb, though the increases in cities in the Southeast were up to 15 ppb. In spite of the large differences in ozone in many areas, the changes in ozone concentration were not statistically significant over most of the domain because of large interannual variability. In separate simulations to test the sensitivity of ozone concentrations to biogenic emissions, a 25% increase in biogenic U.S. volatile organic compound emissions led to an additional increase in land cell average ozone of 0.7 ppb, though the increased ozone resulting from increased biogenics was largely statistically insignificant.","Dawson, John P.; Racherla, Pavan N.; Lynn, Barry H.; Adams, Peter J.; Pandis, Spyros N.",10.1029/2008JD009849,2169-8996,D5,"Journal of Geophysical Research: Atmospheres","Impacts of climate change on regional and urban air quality in the eastern United States: Role of meteorology",114,2009,0,18887,18111e41-6df6-45d5-9ff0-8f6814de8bb4,"Journal Article",/article/10.1029/2008JD009849
/reference/182eb214-5982-4d0e-abd1-c814dbc0a8d4,https://data.globalchange.gov/reference/182eb214-5982-4d0e-abd1-c814dbc0a8d4,182eb214-5982-4d0e-abd1-c814dbc0a8d4,,"Gibbons, Robert V.; Streitz, Matthew; Babina, Tatyana; Fried, Jessica R.",10.3201/eid1804.110134,1080-6059,4,"Emerging Infectious Diseases","Dengue and US military operations from the Spanish-American War through today",18,2012,0,19245,182eb214-5982-4d0e-abd1-c814dbc0a8d4,"Journal Article",/article/10.3201/eid1804.110134
/reference/18542a11-2bc1-4a01-9c2b-d59237467169,https://data.globalchange.gov/reference/18542a11-2bc1-4a01-9c2b-d59237467169,18542a11-2bc1-4a01-9c2b-d59237467169,,"Raubenheimer, David; Machovsky-Capuska, Gabriel E.; Gosby, Alison K.; Simpson, Stephen",10.1017/s0007114514002323,1475-2662,S1,"British Journal of Nutrition","Nutritional ecology of obesity: From humans to companion animals",113,2014,0,18319,18542a11-2bc1-4a01-9c2b-d59237467169,"Journal Article",/article/10.1017/s0007114514002323
/reference/1880f427-e0e1-4bcb-8a00-4f38802c3884,https://data.globalchange.gov/reference/1880f427-e0e1-4bcb-8a00-4f38802c3884,1880f427-e0e1-4bcb-8a00-4f38802c3884,,"Miranda, Marie Lynn; Hastings, Douglas A; Aldy, Joseph E; Schlesinger, William H",10.1089/env.2009.0046,,1,"Environmental Justice","The environmental justice dimensions of climate change",4,2011,0,18825,1880f427-e0e1-4bcb-8a00-4f38802c3884,"Journal Article",/article/environmental-justice-dimensions-climate-change
/reference/18a03092-28de-406e-b060-8f5b44614a9e,https://data.globalchange.gov/reference/18a03092-28de-406e-b060-8f5b44614a9e,18a03092-28de-406e-b060-8f5b44614a9e,,"Jerrett, Michael; Burnett, Richard T.; Pope, C. Arden; Ito, Kazuhiko; Thurston, George; Krewski, Daniel; Shi, Yuanli; Calle, Eugenia; Thun, Michael",10.1056/NEJMoa0803894,1533-4406,11,"New England Journal of Medicine","Long-term ozone exposure and mortality",360,2009,0,16539,18a03092-28de-406e-b060-8f5b44614a9e,"Journal Article",/article/10.1056/NEJMoa0803894
/reference/18e73954-8b13-4c4a-acd1-9687b8d811d2,https://data.globalchange.gov/reference/18e73954-8b13-4c4a-acd1-9687b8d811d2,18e73954-8b13-4c4a-acd1-9687b8d811d2,,"Honda, Yasushi; Kondo, Masahide; McGregor, Glenn; Kim, Ho; Guo, Yue-Leon; Hijioka, Yasuaki; Yoshikawa, Minoru; Oka, Kazutaka; Takano, Saneyuki; Hales, Simon; Kovats, R. Sari",10.1007/s12199-013-0354-6,1347-4715,1,"Environmental Health and Preventive Medicine","Heat-related mortality risk model for climate change impact projection",19,2014,0,16113,18e73954-8b13-4c4a-acd1-9687b8d811d2,"Journal Article",/article/10.1007/s12199-013-0354-6
/reference/1919e922-0bbb-47af-b3a2-a366b332295c,https://data.globalchange.gov/reference/1919e922-0bbb-47af-b3a2-a366b332295c,1919e922-0bbb-47af-b3a2-a366b332295c,,"Ebi, K.; Berry, P.; Campbell-Lendrum, D.; Corvalan, C.; Guillemot, J.",,,,,"Protecting Health from Climate Change: Vulnerability and Adaptation Assessment",,2013,10,18290,1919e922-0bbb-47af-b3a2-a366b332295c,Report,/report/who-vulnerability-assessment-2013
/reference/191b4713-5d04-4f5b-a123-1fe82601efd3,https://data.globalchange.gov/reference/191b4713-5d04-4f5b-a123-1fe82601efd3,191b4713-5d04-4f5b-a123-1fe82601efd3,"To address the issue of human sewage reaching corals along the main reef of the Florida Keys, samples were collected from surface water, groundwater and coral [surface mucopolysaccharide layers (SML)] along a 10 km transect near Key Largo, FL. Samples were collected semi-annually between July 2003 and September 2005 and processed for faecal indicator bacteria (faecal coliform bacteria, enterococci and Clostridium perfringens) and human-specific enteric viruses (enterovirus RNA and adenovirus DNA) by (RT)-nested polymerase chain reaction. Faecal indicator bacteria concentrations were generally higher nearshore and in the coral SML. Enteric viruses were evenly distributed across the transect stations. Adenoviruses were detected in 37 of 75 samples collected (49.3%) whereas enteroviruses were only found in 8 of 75 samples (10.7%). Both viruses were detected twice as frequently in coral compared with surface water or groundwater. Offshore, viruses were most likely to be found in groundwater, especially during the wet summer season. These data suggest that polluted groundwater may be moving to the outer reef environment in the Florida Keys.","Futch, J. C.; Griffin, D. W.; Lipp, E. K.",10.1111/j.1462-2920.2010.02141.x,1462-2920,4,"Environmental Microbiology","Human enteric viruses in groundwater indicate offshore transport of human sewage to coral reefs of the Upper Florida Keys",12,2010,0,19052,191b4713-5d04-4f5b-a123-1fe82601efd3,"Journal Article",/article/10.1111/j.1462-2920.2010.02141.x
/reference/1926f306-ee6c-45e0-ad2c-2ec599f99eaa,https://data.globalchange.gov/reference/1926f306-ee6c-45e0-ad2c-2ec599f99eaa,1926f306-ee6c-45e0-ad2c-2ec599f99eaa,,"Wade, Timothy J.; Sams, Elizabeth; Brenner, Kristen P.; Haugland, Richard; Chern, Eunice; Beach, Michael; Wymer, Larry; Rankin, Clifford C.; Love, David; Li, Quanlin; Noble, Rachel; Dufour, Alfred P.",10.1186/1476-069X-9-66,1476-069X,66,"Environmental Health","Rapidly measured indicators of recreational water quality and swimming-associated illness at marine beaches: A prospective cohort study",9,2010,0,19331,1926f306-ee6c-45e0-ad2c-2ec599f99eaa,"Journal Article",/article/10.1186/1476-069X-9-66
/reference/1964a748-c888-46f9-aedc-dc2d27930f17,https://data.globalchange.gov/reference/1964a748-c888-46f9-aedc-dc2d27930f17,1964a748-c888-46f9-aedc-dc2d27930f17,,"Agarwal, Sumit; Driscoll, John C.; Gabaix, Xavier; Laibson, David",10.1353/eca.0.0067,1533-4465,Fall,"Brookings Papers on Economic Activity","The age of reason: Financial decisions over the life cycle and implications for regulation",2009,2009,0,17821,1964a748-c888-46f9-aedc-dc2d27930f17,"Journal Article",/article/10.1353/eca.0.0067
/reference/196e3717-d56b-4fb5-ac4f-b219f0e1d5c7,https://data.globalchange.gov/reference/196e3717-d56b-4fb5-ac4f-b219f0e1d5c7,196e3717-d56b-4fb5-ac4f-b219f0e1d5c7,,"Ogden, N.H.; Koffi, J.K.; Pelcat, Y.; Lindsay, L.R.",,,5,"Canada Communicable Disease Report","Environmental risk from Lyme disease in central and eastern Canada: A summary of recent surveillance information",40,2014,0,18345,196e3717-d56b-4fb5-ac4f-b219f0e1d5c7,"Journal Article",/article/environmental-risk-lyme-disease-central-eastern-canada-summary-recent-surveillance-information
/reference/197b91b6-04d3-429a-9a6c-90c784d86c1f,https://data.globalchange.gov/reference/197b91b6-04d3-429a-9a6c-90c784d86c1f,197b91b6-04d3-429a-9a6c-90c784d86c1f,,"Drayna, Patrick; McLellan, Sandra L.; Simpson, Pippa; Li, Shun-Hwa; Gorelick, Marc H.",10.1289/ehp.0901671,1552-9924,10,"Environmental Health Perspectives","Association between rainfall and pediatric emergency department visits for acute gastrointestinal illness",118,2010,0,16488,197b91b6-04d3-429a-9a6c-90c784d86c1f,"Journal Article",/article/10.1289/ehp.0901671
/reference/197d65cd-c05e-4ddb-8a9d-5a9aed134974,https://data.globalchange.gov/reference/197d65cd-c05e-4ddb-8a9d-5a9aed134974,197d65cd-c05e-4ddb-8a9d-5a9aed134974,,"Ashley, S.T.
Meentemeyer, V.",10.3354/cr027177,0936-577X,3,"Climate Research","Climatic analysis of Lyme disease in the United States",27,2004,0,396,197d65cd-c05e-4ddb-8a9d-5a9aed134974,"Journal Article",/article/10.3354/cr027177
/reference/1985bce4-5738-4ba6-ac9a-0d676d2ce4a3,https://data.globalchange.gov/reference/1985bce4-5738-4ba6-ac9a-0d676d2ce4a3,1985bce4-5738-4ba6-ac9a-0d676d2ce4a3,,"Ziska, L.H.
Runion, G.B.",,,,,"Future weed, pest, and disease problems for plants",,2007,7,3558,1985bce4-5738-4ba6-ac9a-0d676d2ce4a3,"Book Section",/book/89cf5dfb-7844-4098-a6e2-136ad7a51aae
/reference/199319e1-8e4d-4af8-aa73-ba572fe795e1,https://data.globalchange.gov/reference/199319e1-8e4d-4af8-aa73-ba572fe795e1,199319e1-8e4d-4af8-aa73-ba572fe795e1,"Climate change will have far-reaching implications for Inuit health. Focusing on adaptation offers a proactive approach for managing climate-related health risks-one that views Inuit populations as active agents in planning and responding at household, community, and regional levels. Adaptation can direct attention to the root causes of climate vulnerability and emphasize the importance of traditional knowledge regarding environmental change and adaptive strategies. An evidence base on adaptation options and processes for Inuit regions is currently lacking, however, thus constraining climate policy development. In this article, we tackled this deficit, drawing upon our understanding of the determinants of health vulnerability to climate change in Canada to propose key considerations for adaptation decision-making in an Inuit context.","Ford, J. D.; Willox, A. C.; Chatwood, S.; Furgal, C.; Harper, S.; Mauro, I.; Pearce, T.",10.2105/ajph.2013.301724,1541-0048,S3,"American Journal of Public Health","Adapting to the effects of climate change on Inuit health","104 Suppl 3",2014,0,19083,199319e1-8e4d-4af8-aa73-ba572fe795e1,"Journal Article",/article/10.2105/ajph.2013.301724
/reference/1994b6dc-9753-44a1-a1b2-1d1566c39287,https://data.globalchange.gov/reference/1994b6dc-9753-44a1-a1b2-1d1566c39287,1994b6dc-9753-44a1-a1b2-1d1566c39287,,"Camalier, Louise; Cox, William; Dolwick, Pat",10.1016/j.atmosenv.2007.04.061,0004-6981,33,"Atmospheric Environment","The effects of meteorology on ozone in urban areas and their use in assessing ozone trends",41,2007,0,16101,1994b6dc-9753-44a1-a1b2-1d1566c39287,"Journal Article",/article/10.1016/j.atmosenv.2007.04.061
/reference/199eb13a-09ce-4af0-bc70-e26881a28c33,https://data.globalchange.gov/reference/199eb13a-09ce-4af0-bc70-e26881a28c33,199eb13a-09ce-4af0-bc70-e26881a28c33,,"Anderson, B.G.
Bell, M.L.",10.1097/EDE.0b013e318190ee08,1044-3983,2,Epidemiology,"Weather-related mortality: How heat, cold, and heat waves affect mortality in the United States",20,2009,0,1799,199eb13a-09ce-4af0-bc70-e26881a28c33,"Journal Article",/article/10.1097/EDE.0b013e318190ee08
/reference/19adfcfa-88e4-4728-9242-d9934063bb69,https://data.globalchange.gov/reference/19adfcfa-88e4-4728-9242-d9934063bb69,19adfcfa-88e4-4728-9242-d9934063bb69,"The access of almost all 270 million U.S. residents to reliable, safe drinking water distinguishes the United States in the twentieth century from that of the nineteenth century. The United States is a relatively water-abundant country with moderate population growth; nonetheless, current trends are sufficient to strain water resources over time, especially on a regional basis. We have examined the areas of public water infrastructure, global climate effects, waterborne disease (including emerging and resurging pathogens), land use, groundwater, surface water, and the U.S. regulatory history and its horizon. These issues are integrally interrelated and cross all levels of public and private jurisdictions. We conclude that U.S. public drinking water supplies will face challenges in these areas in the next century and that solutions to at least some of them will require institutional changes.","Levin, R. B.; Epstein, P. R.; Ford, T. E.; Harrington, W.; Olson, E.; Reichard, E. G.",,1552-9924,"Suppl 1","Environmental Health Perspectives","U.S. drinking water challenges in the twenty-first century",110,2002,0,19017,19adfcfa-88e4-4728-9242-d9934063bb69,"Journal Article",/article/pmc-1241146
/reference/19bc2dd3-6c09-4427-82e0-81858eda7c0e,https://data.globalchange.gov/reference/19bc2dd3-6c09-4427-82e0-81858eda7c0e,19bc2dd3-6c09-4427-82e0-81858eda7c0e,,"Cutter, Susan L.; Barnes, Lindsey; Berry, Melissa; Burton, Christopher; Evans, Elijah; Tate, Eric; Webb, Jennifer",10.1016/j.gloenvcha.2008.07.013,1872-9495,4,"Global Environmental Change","A place-based model for understanding community resilience to natural disasters",18,2008,0,19297,19bc2dd3-6c09-4427-82e0-81858eda7c0e,"Journal Article",/article/10.1016/j.gloenvcha.2008.07.013
/reference/19d0c5a6-be45-4234-8d62-6d3eff596da5,https://data.globalchange.gov/reference/19d0c5a6-be45-4234-8d62-6d3eff596da5,19d0c5a6-be45-4234-8d62-6d3eff596da5,,"Rose, Joan B.; Epstein, Paul R.; Lipp, Erin K.; Sherman, Benjamin H.; Bernard, Susan M.; Patz, Jonathan A.",,1552-9924,,"Environmental Health Perspectives","Climate variability and change in the United States: Potential impacts on water- and foodborne diseases caused by microbiologic agents","109 Suppl 2",2001,0,16484,19d0c5a6-be45-4234-8d62-6d3eff596da5,"Journal Article",/article/pmid-1240668