uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Keywords,attrs.Notes,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs.\.reference_type,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/8fdde45b-cdd1-49de-b74f-966c15770b2d,https://data.globalchange.gov/reference/8fdde45b-cdd1-49de-b74f-966c15770b2d,8fdde45b-cdd1-49de-b74f-966c15770b2d,"The F1 progeny of Culex tarsalis Coquillett females from the Coachella (CV) and San Joaquin (SJV) valleys collected during April 1991, and April, July, and October 1993 were reared and maintained as adults at 5 constant temperatures ranging from 14 to 38 degrees C. CV F1 progeny exhibited smaller body size, enhanced survival during spring, and higher autogeny rates than SJV F1 progeny; however, upper and lower thermal tolerance limits, immature developmental rates and survivorship, and adult life table parameters were relatively similar for both strains. Mosquitoes from both sites exhibited midsummer changes in immature developmental rates and survivorship, adult wing length, life expectancy at emergence, and generation time. These data indicated that temperature may select for both spatial and temporal changes in mosquito biology.","Reisen, W. K.",10.1093/jmedent/32.5.636,Sep,1938-2928,5,"Journal of Medical Entomology","Animals; California; *Culex; Female; Male; Reproduction; Seasons; *Temperature","Reisen, W K eng 1-R01-AI32939/AI/NIAID NIH HHS/ 5-R22-AI-03028/AI/NIAID NIH HHS/ Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. 1995/09/01 J Med Entomol. 1995 Sep;32(5):636-45.",636-645,"Effect of temperature on Culex tarsalis (Diptera: Culicidae) from the Coachella and San Joaquin Valleys of California",32,1995,0,18025,8fdde45b-cdd1-49de-b74f-966c15770b2d,"Journal Article",/article/10.1093/jmedent/32.5.636
/reference/8fffe924-9c53-45a6-9299-f97257e00a0f,https://data.globalchange.gov/reference/8fffe924-9c53-45a6-9299-f97257e00a0f,8fffe924-9c53-45a6-9299-f97257e00a0f,,CDC,,,,,,,,,"Food Safety: Foodborne Germs and Illnesses",,2015,16,18299,8fffe924-9c53-45a6-9299-f97257e00a0f,"Web Page",/webpage/32cea1d2-cf43-42fc-a5c0-7d7c2f1e0e24
/reference/90048433-9538-4100-a94f-3ecb8940519f,https://data.globalchange.gov/reference/90048433-9538-4100-a94f-3ecb8940519f,90048433-9538-4100-a94f-3ecb8940519f,"Marine food webs are the most important link between the global contaminant, methylmercury (MeHg), and human exposure through consumption of seafood. Warming temperatures may increase human exposure to MeHg, a potent neurotoxin, by increasing MeHg production as well as bioaccumulation and trophic transfer through marine food webs. Studies of the effects of temperature on MeHg bioaccumulation are rare and no study has specifically related temperature to MeHg fate by linking laboratory experiments with natural field manipulations in coastal ecosystems. We performed laboratory and field experiments on MeHg accumulation under varying temperature regimes using the killifish, Fundulus heteroclitus. Temperature treatments were established in salt pools on a coastal salt marsh using a natural temperature gradient where killifish fed on natural food sources. Temperatures were manipulated across a wider range in laboratory experiments with killifish exposed to MeHg enriched food. In both laboratory microcosms and field mesocosms, MeHg concentrations in killifish significantly increased at elevated temperatures. Moreover, in field experiments, other ancillary variables (salinity, MeHg in sediment, etc.) did not relate to MeHg bioaccumulation. Modeling of laboratory experimental results suggested increases in metabolic rate as a driving factor. The elevated temperatures we tested are consistent with predicted trends in climate warming, and indicate that in the absence of confounding factors, warmer sea surface temperatures could result in greater in bioaccumulation of MeHg in fish, and consequently, increased human exposure.","Dijkstra, J. A.; Buckman, K. L.; Ward, D.; Evans, D. W.; Dionne, M.; Chen, C. Y.",10.1371/journal.pone.0058401,,1932-6203,3,"PLoS ONE","Animals; Fishes/ metabolism; Food Chain; Global Warming; Humans; Maine; Mercury/analysis/chemistry; Methylmercury Compounds/adverse effects/ analysis/chemistry; Water Pollutants, Chemical/adverse effects/ analysis/chemistry","Dijkstra, Jennifer A Buckman, Kate L Ward, Darren Evans, David W Dionne, Michele Chen, Celia Y P42 ES007373/ES/NIEHS NIH HHS/United States Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't United States PLoS One. 2013;8(3):e58401. doi: 10.1371/journal.pone.0058401. Epub 2013 Mar 12.",e58401,"Experimental and natural warming elevates mercury concentrations in estuarine fish",8,2013,0,4327,90048433-9538-4100-a94f-3ecb8940519f,"Journal Article",/article/10.1371/journal.pone.0058401
/reference/9047c320-e8cb-4429-920d-b2d2d7f01ffc,https://data.globalchange.gov/reference/9047c320-e8cb-4429-920d-b2d2d7f01ffc,9047c320-e8cb-4429-920d-b2d2d7f01ffc,"BACKGROUND: There are no studies of the distinct trajectories of children's psychological distress over the first year after a destructive natural disaster and the determinants of these trajectories. OBJECTIVE: We examined these issues using an existing dataset of children exposed to Hurricane Andrew, one of the most devastating natural disasters in US history. METHODS: At 3-months postdisaster, 568 children (55 % girls; grades 3-5) residing in areas most directly affected by the hurricane completed measures of hurricane exposure and stressors, social support, coping, and general anxiety. Children also reported major life events occurring since the hurricane (at 7-months) and posttraumatic stress (PTS) symptoms at 3-, 7-, and 10-months postdisaster. RESULTS: Latent growth mixture modeling identified three trajectories of PTS reactions: resilient (37 %), recovering (43 %), and chronic distress (20 %). Predictors of the trajectories were examined. Odds ratios indicated that, compared to the resilient trajectory, girls were more likely to be in the recovering and chronically distressed trajectories, as were children reporting higher anxiety and greater use of coping strategies that reflected poor emotion regulation. Compared to the recovering trajectory, children in the chronically distressed trajectory had greater odds of reporting high anxiety, less social support, more intervening life events, and greater use of poor emotion regulation strategies. CONCLUSIONS: Hurricane exposure may be less effective in identifying children who develop chronic postdisaster distress than other child (anxiety, coping) and contextual variables (social support, life events). Effective screening after disasters is critical for identifying youth most in need of limited clinical resources.","La Greca, A. M.; Lai, B. S.; Llabre, M. M.; Silverman, W. K.; Vernberg, E. M.; Prinstein, M. J.",10.1007/s10566-013-9206-1,"Aug 1",1573-3319,4,"Child & Youth Care Forum","Children; Natural disasters; Posttraumatic stress; Resilience; Trajectories; Trauma","La Greca, Annette M Lai, Betty S Llabre, Maria M Silverman, Wendy K Vernberg, Eric M Prinstein, Mitchell J T32 HD007510/HD/NICHD NIH HHS/United States Journal article Child Youth Care Forum. 2013 Aug 1;42(4):351-369.",351-369,"Children's postdisaster trajectories of PTS symptoms: Predicting chronic distress",42,2013,0,18118,9047c320-e8cb-4429-920d-b2d2d7f01ffc,"Journal Article",/article/10.1007/s10566-013-9206-1
/reference/905ad03b-729c-447b-b894-c4ce8f9fec30,https://data.globalchange.gov/reference/905ad03b-729c-447b-b894-c4ce8f9fec30,905ad03b-729c-447b-b894-c4ce8f9fec30,"As climate change impacts are felt around the globe, people are increasingly exposed to changes in weather patterns, wildlife and vegetation, and water and food quality, access and availability in their local regions. These changes can impact human health and well-being in a variety of ways: increased risk of foodborne and waterborne diseases; increased frequency and distribution of vector-borne disease; increased mortality and injury due to extreme weather events and heat waves; increased respiratory and cardiovascular disease due to changes in air quality and increased allergens in the air; and increased susceptibility to mental and emotional health challenges. While climate change is a global phenomenon, the impacts are experienced most acutely in place; as such, a sense of place, place-attachment, and place-based identities are important indicators for climate-related health and adaptation. Representing one of the first qualitative case studies to examine the connections among climate change, a changing sense of place, and health in an Inuit context, this research draws data from a multi-year community-driven case study situated in the Inuit community of Rigolet, Nunatsiavut, Canada. Data informing this paper were drawn from the narrative analysis of 72 in-depth interviews conducted from November 2009 to October 2010, as well as from the descriptive analysis of 112 questionnaires from a survey in October 2010 (95% response rate). The findings illustrated that climate change is negatively affecting feelings of place attachment by disrupting hunting, fishing, foraging, trapping, and traveling, and changing local landscapes-changes which subsequently impact physical, mental, and emotional health and well-being. These results also highlight the need to develop context-specific climate-health planning and adaptation programs, and call for an understanding of place-attachment as a vital indicator of health and well-being and for climate change to be framed as an important determinant of health.","Cunsolo Willox, A.; Harper, S. L.; Ford, J. D.; Landman, K.; Houle, K.; Edge, V. L.; Rigolet Inuit Community, Government",10.1016/j.socscimed.2012.03.043,Aug,0277-9536,3,"Social Science & Medicine","Adolescent; Adult; Aged; Climate Change; Emotions; Food Supply; Health Status; Humans; Inuits/ psychology; Male; Mental Health/ ethnology; Middle Aged; Newfoundland and Labrador/epidemiology; Nunavut/epidemiology; Qualitative Research; Young Adult","Cunsolo Willox, Ashlee Harper, Sherilee L Ford, James D Landman, Karen Houle, Karen Edge, Victoria L Canadian Institutes of Health Research/Canada Research Support, Non-U.S. Gov't England Soc Sci Med. 2012 Aug;75(3):538-47. doi: 10.1016/j.socscimed.2012.03.043. Epub 2012 Apr 26.",538-547,"""From this place and of this place"": Climate change, sense of place, and health in Nunatsiavut, Canada",75,2012,0,4270,905ad03b-729c-447b-b894-c4ce8f9fec30,"Journal Article",/article/10.1016/j.socscimed.2012.03.043
/reference/908fa929-2ea7-4eda-a11c-f1088af6ae2f,https://data.globalchange.gov/reference/908fa929-2ea7-4eda-a11c-f1088af6ae2f,908fa929-2ea7-4eda-a11c-f1088af6ae2f,,"Kistin, E. J.; Fogarty, J.; Pokrasso, R. S.; McCally, M.; McCornick, P. G.",10.1136/adc.2009.175307,,1468-2044,7,"Archives of Disease in Childhood",,,545-549,"Climate change, water resources and child health",95,2010,0,17863,908fa929-2ea7-4eda-a11c-f1088af6ae2f,"Journal Article",/article/10.1136/adc.2009.175307
/reference/9096905c-dc99-46c1-ac2c-2e5f8d58f8d9,https://data.globalchange.gov/reference/9096905c-dc99-46c1-ac2c-2e5f8d58f8d9,9096905c-dc99-46c1-ac2c-2e5f8d58f8d9,,"Sheridan, Scott C.; Kalkstein, Adam J.; Kalkstein, Laurence S.",10.1007/s11069-008-9327-2,,1573-0840,1,"Natural Hazards",,"Ch2,9",145-160,"Trends in heat-related mortality in the United States, 1975–2004",50,2009,0,16474,9096905c-dc99-46c1-ac2c-2e5f8d58f8d9,"Journal Article",/article/10.1007/s11069-008-9327-2
/reference/90c05e00-cfc6-4d6d-82dd-80ab6c3a751e,https://data.globalchange.gov/reference/90c05e00-cfc6-4d6d-82dd-80ab6c3a751e,90c05e00-cfc6-4d6d-82dd-80ab6c3a751e,,"Jayachandran, Seema",10.3368/jhr.44.4.916,,1548-8004,4,"The Journal of Human Resources",,"Ch3,9",916-954,"Air quality and early-life mortality: Evidence from Indonesia’s wildfires",44,2009,0,16471,90c05e00-cfc6-4d6d-82dd-80ab6c3a751e,"Journal Article",/article/10.3368/jhr.44.4.916
/reference/90cdeb14-4130-4b48-bcd4-f4497327a7d7,https://data.globalchange.gov/reference/90cdeb14-4130-4b48-bcd4-f4497327a7d7,90cdeb14-4130-4b48-bcd4-f4497327a7d7,,"Evengard, Birgitta; Berner, Jim; Brubaker, Michael; Mulvad, Gert; Revich, Boris",10.3402/gha.v4i0.8449,,1654-9880,8449,"Global Health Action",,,,"Climate change and water security with a focus on the Arctic",4,2011,0,18939,90cdeb14-4130-4b48-bcd4-f4497327a7d7,"Journal Article",/article/10.3402/gha.v4i0.8449
/reference/90e5e68e-c5ed-4365-a29b-67b1fcc371f9,https://data.globalchange.gov/reference/90e5e68e-c5ed-4365-a29b-67b1fcc371f9,90e5e68e-c5ed-4365-a29b-67b1fcc371f9,"Epidemiology studies of recreational waters have demonstrated that swimmers exposed to faecally-contaminated recreational waters are at risk of excess gastrointestinal illness. Epidemiology studies provide valuable information on the nature and extent of health effects, the magnitude of risks, and how these risks are modified or associated with levels of faecal contamination and other measures of pollution. However, such studies have not provided information about the specific microbial agents that are responsible for the observed illnesses in swimmers. The objective of this work was to understand more fully the reported epidemiologic results from studies conducted on the Great Lakes in the US during 2003 and 2004 by identifying pathogens that could have caused the observed illnesses in those studies. We used a Quantitative Microbial Risk Assessment (QMRA) approach to estimate the likelihood of pathogen-induced adverse health effects. The reference pathogens used for this analysis were Norovirus, rotavirus, adenovirus, Cryptosporidium spp., Giardia lamblia, Campylobacter jejuni, Salmonella enterica, and Escherichia coli O157:H7. Two QMRA-based approaches were used to estimate the pathogen combinations that would be consistent with observed illness rates: in the first, swimming-associated gastrointestinal (GI) illnesses were assumed to occur in the same proportion as known illnesses in the US due to all non-foodborne sources, and in the second, pathogens were assumed to occur in the recreational waters in the same proportion as they occur in disinfected secondary effluent. The results indicate that human enteric viruses and in particular, Norovirus could have caused the vast majority of the observed swimming-associated GI illnesses during the 2003/2004 water epidemiology studies. Evaluation of the time-to-onset of illness strongly supports the principal finding and sensitivity analyses support the overall trends of the analyses even given their substantial uncertainties. © 2010 Elsevier Ltd.","Soller, J. A.; Bartrand, T.; Ashbolt, N. J.; Ravenscroft, J.; Wade, T. J.",10.1016/j.watres.2010.07.064,,1879-2448,16,"Water Research","Quantitative microbial risk assessment; Recreational water; Water epidemiology; Adverse health effects; Campylobacter jejuni; Cryptosporidium spp; Escherichia coli O157:H7; Etiologic agents; Faecal contamination; Fresh Water; Giardia lamblia; Great Lakes; Health effects; Human enteric virus; Rotaviruses; Salmonella enterica; Secondary effluent; Contamination; Effluents; Epidemiology; Escherichia coli; Health risks; Lakes; Pathogens; Risk perception; Sensitivity analysis; Viruses; Water analysis; Risk assessment; anthropogenic source; effluent; etiology; fecal coliform; flagellate; freshwater; gastroenteritis; health impact; pathogen; recreational facility; risk factor; virus; water quality; Adenovirus; article; Cryptosporidium; enteric virus; environmental exposure; Escherichia coli O157; gastrointestinal disease; human; nonhuman; Norovirus; priority journal; Rotavirus; swimming; United States; water contamination; Bacteria; Communicable Diseases; Feces; Humans; Recreation; Swimming Pools; Uncertainty; Water Microbiology; Water Pollution; Water Supply; Great Lakes [North America]; Adenoviridae; Giardia intestinalis","Cited By (since 1996):22 Export Date: 7 November 2013 Source: Scopus CODEN: WATRA PubMed ID: 20728915 Language of Original Document: English Correspondence Address: Soller, J.A.; Soller Environmental, LLC, 3022 King St, Berkeley, CA 94703, United States; email: jsoller@sollerenvironmental.com",4736-4747,"Estimating the primary etiologic agents in recreational freshwaters impacted by human sources of faecal contamination",44,2010,0,8181,90e5e68e-c5ed-4365-a29b-67b1fcc371f9,"Journal Article",/article/10.1016/j.watres.2010.07.064
/reference/90ee72cf-ab21-486c-bb40-45780e31b45f,https://data.globalchange.gov/reference/90ee72cf-ab21-486c-bb40-45780e31b45f,90ee72cf-ab21-486c-bb40-45780e31b45f,,ATSDR,,,,"March 18",,,,,"Social Vulnerability Index (SVI) Mapping Dashboard",2015,2015,48,18972,90ee72cf-ab21-486c-bb40-45780e31b45f,"Online Multimedia",/generic/ee49b67e-20b3-4a94-9ecd-f7231abe8922
/reference/913fa7ba-a3f7-48c6-ad06-7b163ea2d084,https://data.globalchange.gov/reference/913fa7ba-a3f7-48c6-ad06-7b163ea2d084,913fa7ba-a3f7-48c6-ad06-7b163ea2d084,,"Cunha, Burke A.; Burillo, Almudena; Bouza, Emilio",10.1016/S0140-6736(15)60078-2,,1474-547X,10016,"The Lancet",,,376-385,"Legionnaires' disease",387,2016,0,19153,913fa7ba-a3f7-48c6-ad06-7b163ea2d084,"Journal Article",/article/10.1016/S0140-6736(15)60078-2
/reference/9141fd5f-b949-4652-86b0-b31ba25d31c2,https://data.globalchange.gov/reference/9141fd5f-b949-4652-86b0-b31ba25d31c2,9141fd5f-b949-4652-86b0-b31ba25d31c2,,"Bezirtzoglou, Christos; Dekas, Konstantinos; Charvalos, Ekatherina",10.1016/j.anaerobe.2011.05.016,,1075-9964,6,Anaerobe,,,337-340,"Climate changes, environment and infection: Facts, scenarios and growing awareness from the public health community within Europe",17,2011,0,17633,9141fd5f-b949-4652-86b0-b31ba25d31c2,"Journal Article",/article/10.1016/j.anaerobe.2011.05.016
/reference/914c7cdc-87d8-4b27-a7f0-dd1a2df15bb0,https://data.globalchange.gov/reference/914c7cdc-87d8-4b27-a7f0-dd1a2df15bb0,914c7cdc-87d8-4b27-a7f0-dd1a2df15bb0,"Emissions of air pollutants and their precursors determine regional air quality and can alter climate. Climate change can perturb the long-range transport, chemical processing, and local meteorology that influence air pollution. We review the implications of projected changes in methane (CH(4)), ozone precursors (O(3)), and aerosols for climate (expressed in terms of the radiative forcing metric or changes in global surface temperature) and hemispheric-to-continental scale air quality. Reducing the O(3) precursor CH(4) would slow near-term warming by decreasing both CH(4) and tropospheric O(3). Uncertainty remains as to the net climate forcing from anthropogenic nitrogen oxide (NO(x)) emissions, which increase tropospheric O(3) (warming) but also increase aerosols and decrease CH(4) (both cooling). Anthropogenic emissions of carbon monoxide (CO) and non-CH(4) volatile organic compounds (NMVOC) warm by increasing both O(3) and CH(4). Radiative impacts from secondary organic aerosols (SOA) are poorly understood. Black carbon emission controls, by reducing the absorption of sunlight in the atmosphere and on snow and ice, have the potential to slow near-term warming, but uncertainties in coincident emissions of reflective (cooling) aerosols and poorly constrained cloud indirect effects confound robust estimates of net climate impacts. Reducing sulfate and nitrate aerosols would improve air quality and lessen interference with the hydrologic cycle, but lead to warming. A holistic and balanced view is thus needed to assess how air pollution controls influence climate; a first step towards this goal involves estimating net climate impacts from individual emission sectors. Modeling and observational analyses suggest a warming climate degrades air quality (increasing surface O(3) and particulate matter) in many populated regions, including during pollution episodes. Prior Intergovernmental Panel on Climate Change (IPCC) scenarios (SRES) allowed unconstrained growth, whereas the Representative Concentration Pathway (RCP) scenarios assume uniformly an aggressive reduction, of air pollutant emissions. New estimates from the current generation of chemistry-climate models with RCP emissions thus project improved air quality over the next century relative to those using the IPCC SRES scenarios. These two sets of projections likely bracket possible futures. We find that uncertainty in emission-driven changes in air quality is generally greater than uncertainty in climate-driven changes. Confidence in air quality projections is limited by the reliability of anthropogenic emission trajectories and the uncertainties in regional climate responses, feedbacks with the terrestrial biosphere, and oxidation pathways affecting O(3) and SOA.","Fiore, Arlene M.; Naik, Vaishali; Spracklen, Dominick V.; Steiner, Allison; Unger, Nadine; Prather, Michael; Bergmann, Dan; Cameron-Smith, Philip J.; Cionni, Irene; Collins, William J.; Dalsøren, Stig; Eyring, Veronika; Folberth, Gerd A.; Ginoux, Paul; Horowitz, Larry W.; Josse, Béatrice; Lamarque, Jean-François; MacKenzie, Ian A.; Nagashima, Tatsuya; O'Connor, Fiona M.; Righi, Mattia; Rumbold, Steven T.; Shindell, Drew T.; Skeie, Ragnhild B.; Sudo, Kengo; Szopa, Sophie; Takemura, Toshihiko; Zeng, Guang",10.1039/C2CS35095E,,1460-4744,19,"Chemical Society Reviews",,,6663-6683,"Global air quality and climate",41,2012,0,18892,914c7cdc-87d8-4b27-a7f0-dd1a2df15bb0,"Journal Article",/article/10.1039/c2cs35095e
/reference/918354f7-f16e-4cad-9289-20d41305abb8,https://data.globalchange.gov/reference/918354f7-f16e-4cad-9289-20d41305abb8,918354f7-f16e-4cad-9289-20d41305abb8,,"Baker-Austin, C.
Trinanes, J.A.
Taylor, N.G.H.
Hartnell, R.
Siitonen, A.
Martinez-Urtaza, J.",10.1038/nclimate1628,,1758-678X,1,"Nature Climate Change",,,73-77,"Emerging Vibrio risk at high latitudes in response to ocean warming",3,2013,0,625,918354f7-f16e-4cad-9289-20d41305abb8,"Journal Article",/article/10.1038/nclimate1628
/reference/91928494-25d5-4e88-a335-3efbb3c15f02,https://data.globalchange.gov/reference/91928494-25d5-4e88-a335-3efbb3c15f02,91928494-25d5-4e88-a335-3efbb3c15f02,,"Högy, P.; Fangmeier, A.",10.1016/j.eja.2008.07.006,,1161-0301,2,"European Journal of Agronomy",,,85-94,"Atmospheric CO2 enrichment affects potatoes: 2. Tuber quality traits",30,2009,0,16194,91928494-25d5-4e88-a335-3efbb3c15f02,"Journal Article",/article/10.1016/j.eja.2008.07.006
/reference/91b70c15-8dda-47d5-ab7f-c63eee7d731e,https://data.globalchange.gov/reference/91b70c15-8dda-47d5-ab7f-c63eee7d731e,91b70c15-8dda-47d5-ab7f-c63eee7d731e,,NOAA,,,,,,,,,"Storm Surge Overview",2014,2014,16,18310,91b70c15-8dda-47d5-ab7f-c63eee7d731e,"Web Page",/webpage/c4053b8c-7a39-40a7-a7b7-acf03c111385
/reference/91c3ced0-65bc-43f7-b50c-11742eb657d5,https://data.globalchange.gov/reference/91c3ced0-65bc-43f7-b50c-11742eb657d5,91c3ced0-65bc-43f7-b50c-11742eb657d5,,"Senkbeil, Jason C.; Brommer, David M.; Comstock, Ian J.",10.1111/j.1749-8198.2011.00439.x,,1749-8198,8,"Geography Compass",,,544-563,"Tropical cyclone hazards in the USA",5,2011,0,17800,91c3ced0-65bc-43f7-b50c-11742eb657d5,"Journal Article",/article/10.1111/j.1749-8198.2011.00439.x
/reference/9204bd83-649f-4056-9f3e-678c3f612553,https://data.globalchange.gov/reference/9204bd83-649f-4056-9f3e-678c3f612553,9204bd83-649f-4056-9f3e-678c3f612553,,"GCRA,",,,,,,,,3096-3104,"Global Change Research Act (Public Law 101-606, 104 Stat. 3096-3104), signed on November 16, 1990",,1990,32,766,9204bd83-649f-4056-9f3e-678c3f612553,Statute,/report/pl-106-606-gcra
/reference/9224c0ef-9655-4335-a810-ce86baf5a502,https://data.globalchange.gov/reference/9224c0ef-9655-4335-a810-ce86baf5a502,9224c0ef-9655-4335-a810-ce86baf5a502,,"Zamyadi, Arash; Dorner, Sarah; Sauve, Sebastien; Ellis, Donald; Bolduc, Anouka; Bastien, Christian; Prevost, Michele",10.1016/j.watres.2013.02.040,,1879-2448,8,"Water Research",,,2689-2700,"Species-dependence of cyanobacteria removal efficiency by different drinking water treatment processes",47,2013,0,19337,9224c0ef-9655-4335-a810-ce86baf5a502,"Journal Article",/article/10.1016/j.watres.2013.02.040
/reference/922bcd50-dd07-4e05-afc7-fe3bcb1a953a,https://data.globalchange.gov/reference/922bcd50-dd07-4e05-afc7-fe3bcb1a953a,922bcd50-dd07-4e05-afc7-fe3bcb1a953a,,"Hansen, A.
Bi, P.
Nitschke, M.
Ryan, P.
Pisaniello, D.
Tucker, G.",10.1289/ehp.11339,,0091-6765,10,"Environmental Health Perspectives",,,1369-1375,"The effect of heat waves on mental health in a temperate Australian city",116,2008,0,585,922bcd50-dd07-4e05-afc7-fe3bcb1a953a,"Journal Article",/article/10.1289/ehp.11339
/reference/92302697-ed88-435b-8be9-8f03d0616fed,https://data.globalchange.gov/reference/92302697-ed88-435b-8be9-8f03d0616fed,92302697-ed88-435b-8be9-8f03d0616fed,,"Campbell, Lisa; Olson, Robert J.; Sosik, Heidi M.; Abraham, Ann; Henrichs, Darren W.; Hyatt, Cammie J.; Buskey, Edward J.",10.1111/j.1529-8817.2009.00791.x,February,1529-8817,1,"Journal of Phycology",,,66-75,"First harmful Dinophysis (Dinophyceae, Dinophysiales) bloom in the U.S. is revealed by automated imaging flow cytometry",46,2010,0,16708,92302697-ed88-435b-8be9-8f03d0616fed,"Journal Article",/article/10.1111/j.1529-8817.2009.00791.x
/reference/92584177-af72-4d9d-88b5-a5a52e47c634,https://data.globalchange.gov/reference/92584177-af72-4d9d-88b5-a5a52e47c634,92584177-af72-4d9d-88b5-a5a52e47c634,"Flooding and heavy rainfall have been associated with numerous outbreaks of leptospirosis around the world. With global climate change, extreme weather events such as cyclones and floods are expected to occur with increasing frequency and greater intensity and may potentially result in an upsurge in the disease incidence as well as the magnitude of leptospirosis outbreaks. In this paper, we examine mechanisms by which climate change can affect various ecological factors that are likely to drive an increase in the overall incidence as well as the frequency of outbreaks of leptospirosis. We will discuss the geographical areas that are most likely to be at risk of an increase in leptospirosis disease burden owing to the coexistence of climate change hazard risk, environmental drivers of leptospirosis outbreaks, local socioeconomic circumstances, and social and demographic trends. To reduce this disease burden, enhanced surveillance and further research is required to understand the environmental drivers of infection, to build capacity in emergency response and to promote community adaptation to a changing climate.","Lau, C. L.; Smythe, L. D.; Craig, S. B.; Weinstein, P.",10.1016/j.trstmh.2010.07.002,Oct,0035-9203,10,"Transactions of the Royal Society of Tropical Medicine and Hygiene","Animals; *Climate Change; *Disease Outbreaks/prevention & control; Disease Vectors; *Floods; Humans; Incidence; *Leptospirosis/epidemiology/prevention & control/transmission; Topography, Medical; Water Microbiology","1878-3503 Lau, Colleen L Smythe, Lee D Craig, Scott B Weinstein, Philip Journal Article Review England Trans R Soc Trop Med Hyg. 2010 Oct;104(10):631-8. doi: 10.1016/j.trstmh.2010.07.002. Epub 2010 Sep 1.",631-638,"Climate change, flooding, urbanisation and leptospirosis: Fuelling the fire?",104,2010,0,18431,92584177-af72-4d9d-88b5-a5a52e47c634,"Journal Article",/article/10.1016/j.trstmh.2010.07.002
/reference/925a78d6-7d20-4d8d-9b4c-448cbfcdf34c,https://data.globalchange.gov/reference/925a78d6-7d20-4d8d-9b4c-448cbfcdf34c,925a78d6-7d20-4d8d-9b4c-448cbfcdf34c,,"Schwabish, Jonathan A.",,,,,,,,28,"Modeling Individual Earnings in CBO’s Long-term Microsimulation Model",,2013,10,18969,925a78d6-7d20-4d8d-9b4c-448cbfcdf34c,Report,/report/cbo-working-paper-2013-04