uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Notes,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs.\.publisher,attrs.\.reference_type,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/9d0046a1-8cd1-4a6d-a8c1-ab853fd1fb2a,https://data.globalchange.gov/reference/9d0046a1-8cd1-4a6d-a8c1-ab853fd1fb2a,9d0046a1-8cd1-4a6d-a8c1-ab853fd1fb2a,"The prevalence of asthma has increased dramatically over the last 25 years in the United States and in other nations as a result of ill-defined changes in living conditions in modern society. On 18 and 19 October 2004 the U.S. Environmental Protection Agency and the National Institute of Environmental Health Sciences sponsored the workshop “Environmental Influences on the Induction and Incidence of Asthma” to review current scientific evidence with respect to factors that may contribute to the induction of asthma. Participants addressed two broad questions: a) What does the science suggest that regulatory and public health agencies could do now to reduce the incidence of asthma? and b) What research is needed to improve our understanding of the factors that contribute to the induction of asthma and our ability to manage this problem? In this article (one of four articles resulting from the workshop), we briefly characterize asthma and its public health and economic impacts, and intervention strategies that have been successfully used to prevent induction of asthma in the workplace. We conclude with the findings of seven working groups that focus on ambient air, indoor pollutants (biologics), occupational exposures, early life stages, older adults, intrinsic susceptibility, and lifestyle. These groups found strong scientific support for public health efforts to limit in utero and postnatal exposure to cigarette smoke. However, with respect to other potential types of interventions, participants noted many scientific questions, which are summarized in this article. Research to address these questions could have a significant public health and economic impact that would be well worth the investment.","Selgrade, MaryJane K.; Lemanske, Robert F., Jr.; Gilmour, M. Ian; Neas, Lucas M.; Ward, Marsha D. W.; Henneberger, Paul K.; Weissman, David N.; Hoppin, Jane A.; Dietert, Rodney R.; Sly, Peter D.; Geller, Andrew M.; Enright, Paul L.; Backus, Gillian S.; Bromberg, Philip A.; Germolec, Dori R.; Yeatts, Karin B.",10.1289/ehp.8376,"01/26 06/02/received 10/13/accepted",1552-9924,4,"Environmental Health Perspectives","ehp0114-000615[PII] 16581555[pmid] Environ Health Perspect",615-619,"Induction of asthma and the environment: What we know and need to know",114,2006,"National Institute of Environmental Health Sciences",0,19009,9d0046a1-8cd1-4a6d-a8c1-ab853fd1fb2a,"Journal Article",/article/10.1289/ehp.8376
/reference/9d80ee92-5d59-4dd5-858f-8818b9d692b4,https://data.globalchange.gov/reference/9d80ee92-5d59-4dd5-858f-8818b9d692b4,9d80ee92-5d59-4dd5-858f-8818b9d692b4,"INTRODUCTION: On 14 August 2003, New York City and a large portion of the northeastern United States experienced the largest blackout in the history of the country. An analysis of such a widespread disaster on emergency medical service (EMS) operations may assist in planning for and managing such disasters in the future. METHODS: A retrospective review of all EMS activity within New York City's 9-1-1 emergency telephone system during the 29 hours during which all or parts of the city were without power (16:11 hours (h) on 14 August 2003 until 21:03 h on 15 August 2003) was performed. Control periods were established utilizing identical time periods during the five weeks preceding the blackout. RESULTS: Significant increases were identified in the overall EMS demand (7,844 incidents vs. 3,860 incidents; p < 0.001) as well as in 20 of the 62 call-types of the system, including cardiac arrests (119 vs. 76, p = 0.043). Significant decreases were found only among calls related to psychological emergencies (114 vs. 221; p = 0.006) and drug- or alcohol-related emergencies (78 vs. 146; p = 0.009). Though median response times increased by only 60 seconds, median call-processing times within the 9-1-1 emergency telephone system EMS dispatch center of the city increased from 1.1 to 5.5 minutes. CONCLUSIONS: The citywide blackout resulted in dramatic changes in the demands upon the EMS system of New York City, the types of patients for whom EMS providers were assigned to provide care, and the dispositions for those assignments. During this time of increased, system-wide demand, the use of cross-trained firefighter and first-responder engine companies resulted in improved response times to cardiac arrest patients. Finally, the ability of the EMS dispatch center to process the increased requests for EMS assistance proved to be the rate-limiting step in responding to these emergencies. These findings will prove useful in planning for future blackouts or any disaster that may broadly impact the infrastructure of a city.","Freese, John; Richmand, Neal J.; Silverman, Robert A.; Braun, James; Kaufman, Bradley J.; Clair, John",10.1017/S1049023X00004064,Nov-Dec,1945-1938,06,"Prehospital and Disaster Medicine",,372-378,"Impact of Citywide Blackout on an Urban Emergency Medical Services System",21,2006,,0,16302,9d80ee92-5d59-4dd5-858f-8818b9d692b4,"Journal Article",/article/10.1017/S1049023X00004064
/reference/9df9d372-1c41-4065-890e-9784acbd6005,https://data.globalchange.gov/reference/9df9d372-1c41-4065-890e-9784acbd6005,9df9d372-1c41-4065-890e-9784acbd6005,,"Ebi, K.L.
Semenza, J.C.",10.1016/j.amepre.2008.08.018,,0749-3797,5,"American Journal of Preventive Medicine",,501-507,"Community-based adaptation to the health impacts of climate change",35,2008,,0,429,9df9d372-1c41-4065-890e-9784acbd6005,"Journal Article",/article/10.1016/j.amepre.2008.08.018
/reference/9e0be621-7cc0-453f-807d-135e7a68549b,https://data.globalchange.gov/reference/9e0be621-7cc0-453f-807d-135e7a68549b,9e0be621-7cc0-453f-807d-135e7a68549b,,"Wang, Jiao; Deng, Zhiqiang",10.1016/j.marenvres.2012.06.011,,0141-1136,,"Marine Environmental Research",,62-69,"Detection and forecasting of oyster norovirus outbreaks: Recent advances and future perspectives",80,2012,,0,18936,9e0be621-7cc0-453f-807d-135e7a68549b,"Journal Article",/article/10.1016/j.marenvres.2012.06.011
/reference/9e1170c5-e68e-4aab-bf70-33e4b69e46bf,https://data.globalchange.gov/reference/9e1170c5-e68e-4aab-bf70-33e4b69e46bf,9e1170c5-e68e-4aab-bf70-33e4b69e46bf,,"Li, Tiantian
Horton, Radley M.
Kinney, Patrick L.",10.1038/nclimate1902,,1758-678X,8,"Nature Climate Change",,717-721,"Projections of seasonal patterns in temperature-related deaths for Manhattan, New York",3,2013,,0,4000,9e1170c5-e68e-4aab-bf70-33e4b69e46bf,"Journal Article",/article/10.1038/nclimate1902
/reference/9e2539f8-5be8-454c-9a15-af2c594c5ddb,https://data.globalchange.gov/reference/9e2539f8-5be8-454c-9a15-af2c594c5ddb,9e2539f8-5be8-454c-9a15-af2c594c5ddb,"Stagnant atmospheric conditions can lead to hazardous air quality by allowing ozone and particulate matter to accumulate and persist in the near-surface environment. By changing atmospheric circulation and precipitation patterns, global warming could alter the meteorological factors that regulate air stagnation frequency. We analyze the response of the National Climatic Data Center (NCDC) Air Stagnation Index (ASI) to anthropogenically enhanced radiative forcing using global climate model projections of late-21(st) century climate change (SRES A1B scenario). Our results indicate that the atmospheric conditions over the highly populated, highly industrialized regions of the eastern United States, Mediterranean Europe, and eastern China are particularly sensitive to global warming, with the occurrence of stagnant conditions projected to increase 12-to-25% relative to late-20(th) century stagnation frequencies (3-18+ days/year). Changes in the position/strength of the polar jet, in the occurrence of light surface winds, and in the number of precipitation-free days all contribute to more frequent late-21(st) century air mass stagnation over these high-population regions. In addition, we find substantial inter-model spread in the simulated response of stagnation conditions over some regions using either native or bias corrected global climate model simulations, suggesting that changes in the atmospheric circulation and/or the distribution of precipitation represent important sources of uncertainty in the response of air quality to global warming.","Horton, Daniel E.; Harshvardhan,; Diffenbaugh, Noah S.",10.1088/1748-9326/7/4/044034,,1748-9326,4,"Environmental Research Letters",,044034,"Response of air stagnation frequency to anthropogenically enhanced radiative forcing",7,2012,,0,18895,9e2539f8-5be8-454c-9a15-af2c594c5ddb,"Journal Article",/article/10.1088/1748-9326/7/4/044034
/reference/9e358954-bb8a-4540-a3a1-737bbfc4408d,https://data.globalchange.gov/reference/9e358954-bb8a-4540-a3a1-737bbfc4408d,9e358954-bb8a-4540-a3a1-737bbfc4408d,,AFHSC,,,,,"MSMR: Medical Surveillance Monthly Report",,2-5,"Leishmaniasis in relation to service in Iraq/Afghanistan, U.S. Armed Forces, 2001-2006",14(1),2007,,0,19230,9e358954-bb8a-4540-a3a1-737bbfc4408d,"Journal Article",/article/leishmaniasis-relation-service
/reference/9e5154e8-cddf-4c83-ac36-1c43a2d88d7b,https://data.globalchange.gov/reference/9e5154e8-cddf-4c83-ac36-1c43a2d88d7b,9e5154e8-cddf-4c83-ac36-1c43a2d88d7b,"BACKGROUND: Although many climate-sensitive environmental exposures are related to mortality and morbidity, there is a paucity of estimates of the public health burden attributable to climate change. OBJECTIVE: We estimated the excess current and future public health impacts related to respiratory hospitalizations attributable to extreme heat in summer in New York State (NYS) overall, its geographic regions, and across different demographic strata. METHODS: On the basis of threshold temperature and percent risk changes identified from our study in NYS, we estimated recent and future attributable risks related to extreme heat due to climate change using the global climate model with various climate scenarios. We estimated effects of extreme high apparent temperature in summer on respiratory admissions, days hospitalized, direct hospitalization costs, and lost productivity from days hospitalized after adjusting for inflation. RESULTS: The estimated respiratory disease burden attributable to extreme heat at baseline (1991-2004) in NYS was 100 hospital admissions, US$644,069 in direct hospitalization costs, and 616 days of hospitalization per year. Projections for 2080-2099 based on three different climate scenarios ranged from 206-607 excess hospital admissions, US$26-$76 million in hospitalization costs, and 1,299-3,744 days of hospitalization per year. Estimated impacts varied by geographic region and population demographics. CONCLUSIONS: We estimated that excess respiratory admissions in NYS due to excessive heat would be 2 to 6 times higher in 2080-2099 than in 1991-2004. When combined with other heat-associated diseases and mortality, the potential public health burden associated with global warming could be substantial.","Lin, S.; Hsu, W.-H.; Van Zutphen, A. R.; Saha, S.; Luber, G.; Hwang, S.-A.",10.1289/ehp.1104728,Nov,1552-9924,11,"Environmental Health Perspectives","Lin, Shao Hsu, Wan-Hsiang Van Zutphen, Alissa R Saha, Shubhayu Luber, George Hwang, Syni-An 1U38EH000184-05/EH/NCEH CDC HHS/United States 5U01EH000396-02/EH/NCEH CDC HHS/United States Research Support, U.S. Gov't, P.H.S. United States Environ Health Perspect. 2012 Nov;120(11):1571-7. doi: 10.1289/ehp.1104728. Epub 2012 Aug 24.",1571-1577,"Excessive heat and respiratory hospitalizations in New York State: Estimating current and future public health burden related to climate change",120,2012,,0,4733,9e5154e8-cddf-4c83-ac36-1c43a2d88d7b,"Journal Article",/article/10.1289/ehp.1104728
/reference/9e6fc15f-324c-4e72-be7e-bf909747f5f7,https://data.globalchange.gov/reference/9e6fc15f-324c-4e72-be7e-bf909747f5f7,9e6fc15f-324c-4e72-be7e-bf909747f5f7,,NIOSH,,,,,,,2,"Fact Sheet: Wildland Fire Fighting. Hot Tips to Stay Safe and Healthy",,2012,,10,18265,9e6fc15f-324c-4e72-be7e-bf909747f5f7,Report,/report/cdc-niosh-2013-157
/reference/9e9f387b-b48f-47ba-ab4e-77453a9eca20,https://data.globalchange.gov/reference/9e9f387b-b48f-47ba-ab4e-77453a9eca20,9e9f387b-b48f-47ba-ab4e-77453a9eca20,,"Daniel R. Wildcat",10.1007/s10584-013-0849-6,2013/10/01,,3,"Climatic Change",,509-682,"Special Issue: Climate Change and Indigenous Peoples in the United States: Impacts, Experiences and Actions",120,2013,"Springer Netherlands",0,18945,9e9f387b-b48f-47ba-ab4e-77453a9eca20,"Journal Article",/book/fc6c46c3-72d3-425a-ab01-ba6050915e8a
/reference/9f4c4629-48ff-4dfa-a953-924868d220cf,https://data.globalchange.gov/reference/9f4c4629-48ff-4dfa-a953-924868d220cf,9f4c4629-48ff-4dfa-a953-924868d220cf,,"Jamieson, Rob C.; Joy, Douglas M.; Lee, H.; Kostaschuk, R.; Gordon, Robert J.",10.2134/jeq2005.0581,,1537-2537,2,"Journal of Environmental Quality",,581-589,"Resuspension of sediment-associated Escherichia coli in a natural stream",34,2005,,0,17911,9f4c4629-48ff-4dfa-a953-924868d220cf,"Journal Article",/article/10.2134/jeq2005.0581
/reference/9f590c59-903e-43d2-ae5b-b45ff36a40a5,https://data.globalchange.gov/reference/9f590c59-903e-43d2-ae5b-b45ff36a40a5,9f590c59-903e-43d2-ae5b-b45ff36a40a5,"The development of the Posttraumatic Growth Inventory, an instrument for assessing positive outcomes reported by persons who have experienced traumatic events, is described. This 21-item scale includes factors of New Possibilities, Relating to Others, Personal Strength, Spiritual Change, and Appreciation of Life. Women tend to report more benefits than do men, and persons who have experienced traumatic events report more positive change than do persons who have not experienced extraordinary events. The Posttraumatic Growth Inventory is modestly related to optimism and extraversion. The scale appears to have utility in determining how successful individuals, coping with the aftermath of trauma, are in reconstructing or strengthening their perceptions of self, others, and the meaning of events.","Tedeschi, R. G.; Calhoun, L. G.",10.1007/BF02103658,Jul,1573-6598,3,"Journal of Traumatic Stress","Tedeschi, R G Calhoun, L G Journal Article United states J Trauma Stress. 1996 Jul;9(3):455-71.",455-471,"The posttraumatic growth inventory: Measuring the positive legacy of trauma",9,1996,,0,19067,9f590c59-903e-43d2-ae5b-b45ff36a40a5,"Journal Article",/article/10.1007/BF02103658
/reference/9f5d29bb-d4c8-49e6-bda9-4c9fa9e0511f,https://data.globalchange.gov/reference/9f5d29bb-d4c8-49e6-bda9-4c9fa9e0511f,9f5d29bb-d4c8-49e6-bda9-4c9fa9e0511f,,NOAA,,,,,,,,"State of the Climate: Drought for Annual 2014",,2014,,16,19312,9f5d29bb-d4c8-49e6-bda9-4c9fa9e0511f,"Web Page",/webpage/fddf5a1c-44e9-4d6b-8e3b-18ee12b095ce
/reference/9f5f1b70-5dd4-4162-b2e3-58eec6bc8a99,https://data.globalchange.gov/reference/9f5f1b70-5dd4-4162-b2e3-58eec6bc8a99,9f5f1b70-5dd4-4162-b2e3-58eec6bc8a99,,"Walzer, P. D.",10.1111/jeu.12072,,1066-5234,6,"The Journal of Eukaryotic Microbiology",,634-645,"The ecology of pneumocystis: Perspectives, personal recollections, and future research opportunities",60,2013,,0,19161,9f5f1b70-5dd4-4162-b2e3-58eec6bc8a99,"Journal Article",/article/10.1111/jeu.12072
/reference/9f601bd1-6d03-4005-ad4b-22ea145d0eb3,https://data.globalchange.gov/reference/9f601bd1-6d03-4005-ad4b-22ea145d0eb3,9f601bd1-6d03-4005-ad4b-22ea145d0eb3,,"Parsons, Michael L.; Dortch, Quay",10.4319/lo.2002.47.2.0551,,1939-5590,2,"Limnology and Oceanography",,551-558,"Sedimentological evidence of an increase in Pseudo-nitzschia (Bacillariophyceae) abundance in response to coastal eutrophication",47,2002,,0,17293,9f601bd1-6d03-4005-ad4b-22ea145d0eb3,"Journal Article",/article/10.4319/lo.2002.47.2.0551
/reference/9f75f757-4028-461f-8dd0-2b1019863054,https://data.globalchange.gov/reference/9f75f757-4028-461f-8dd0-2b1019863054,9f75f757-4028-461f-8dd0-2b1019863054,,"O'Neill, Bridget F.; Zangerl, Arthur R.; DeLucia, Evan H.; Casteel, Clare; Zavala, Jorge A.; Berenbaum, Mary R.",10.1111/j.1744-7917.2011.01420.x,,1672-9609,4,"Insect Science",,419-425,"Leaf temperature of soybean grown under elevated CO2 increases Aphis glycines (Hemiptera: Aphididae) population growth",18,2011,,0,19113,9f75f757-4028-461f-8dd0-2b1019863054,"Journal Article",/article/10.1111/j.1744-7917.2011.01420.x
/reference/9fcf79bd-416e-4ede-9e00-262b39095cab,https://data.globalchange.gov/reference/9fcf79bd-416e-4ede-9e00-262b39095cab,9fcf79bd-416e-4ede-9e00-262b39095cab,"The present study utilises social representations theory to explore common sense conceptualisations of global warming risk using an in-depth, qualitative methodology. Fifty-six members of a British, London-based 2008 public were initially asked to draw or write four spontaneous ""first thoughts or feelings"" about global warming. These were then explored via an open-ended, exploratory interview. The analysis revealed that first thoughts, either drawn or written, often mirrored the images used by the British press to depict global warming visually. Thus in terms of media framings, it was their visual rather than their textual content that was spontaneously available for their audiences. Furthermore, an in-depth exploration of interview data revealed that global warming was structured around three themata: self/other, natural/unnatural and certainty/uncertainty, reflecting the complex and often contradictory nature of common sense thinking in relation to risk issues.","Smith, N.; Joffe, H.",10.1177/0963662512440913,Jan,1361-6609,1,"Public Understanding of Science","Smith, Nicholas Joffe, Helene Journal Article England Public Underst Sci. 2013 Jan;22(1):16-32. doi: 10.1177/0963662512440913. Epub 2012 Jun 1.",16-32,"How the public engages with global warming: A social representations approach",22,2013,,0,18183,9fcf79bd-416e-4ede-9e00-262b39095cab,"Journal Article",/article/10.1177/0963662512440913
/reference/9fdc8e1d-5684-4ab4-a131-ebcddfd79be7,https://data.globalchange.gov/reference/9fdc8e1d-5684-4ab4-a131-ebcddfd79be7,9fdc8e1d-5684-4ab4-a131-ebcddfd79be7,"Since its emergence in the north-eastern and upper mid-western United States in the 1970s, Lyme disease, caused by Borrelia burgdorferi, has captured the public's attention as the nation's most prevalent vector-borne zoonotic disease. In contrast, recent publications on tick-pathogen systems in the eastern United States, and findings from Department of Defense investigations of ticks found biting military personnel, indicate that residents of the south-eastern United States are primarily at risk from emerging diseases caused by tick-borne pathogens other than B. burgdorferi. The risk of contracting these diseases varies greatly among states as a consequence of regional variation in the abundance of the key vector tick species. Moreover, this risk is changing, because tick distributions are in flux. To improve health outcomes, health providers need better information and awareness regarding which tick species bite humans in each state and which zoonotic pathogens are prevalent in these ticks. Effective diagnosis, treatment, control and reporting of tick-borne disease in the south-eastern United States require that health providers think 'beyond Lyme' and consider the marked regional differences in the tick species that bite humans and in the pathogens that these ticks carry.","Stromdahl, E. Y.; Hickling, G. J.",10.1111/j.1863-2378.2012.01475.x,Sep,1863-1959,"Suppl 2","Zoonoses and Public Health","Stromdahl, E Y Hickling, G J eng Research Support, U.S. Gov't, Non-P.H.S. Review Germany 2013/03/19 06:00 Zoonoses Public Health. 2012 Sep;59 Suppl 2:48-64. doi: 10.1111/j.1863-2378.2012.01475.x.",48-64,"Beyond Lyme: Aetiology of tick-borne human diseases with emphasis on the south-eastern United States",59,2012,,0,18039,9fdc8e1d-5684-4ab4-a131-ebcddfd79be7,"Journal Article",/article/10.1111/j.1863-2378.2012.01475.x
/reference/a017ccf9-26c3-41cb-857e-1eaa561495dd,https://data.globalchange.gov/reference/a017ccf9-26c3-41cb-857e-1eaa561495dd,a017ccf9-26c3-41cb-857e-1eaa561495dd,,"Makri, Anna; Stilianakis, Nikolaos I.",10.1016/j.ijheh.2007.06.005,,1438-4639,3-4,"International Journal of Hygiene and Environmental Health",,326-336,"Vulnerability to air pollution health effects",211,2008,,0,17867,a017ccf9-26c3-41cb-857e-1eaa561495dd,"Journal Article",/article/10.1016/j.ijheh.2007.06.005
/reference/a018e131-9ae9-4a2f-9fb8-064a5190e9f3,https://data.globalchange.gov/reference/a018e131-9ae9-4a2f-9fb8-064a5190e9f3,a018e131-9ae9-4a2f-9fb8-064a5190e9f3,,"Solomon, Gina M.; Hjelmroos-Koski, Mervi; Rotkin-Ellman, M.; Hammond, S.Katharine",10.1289/ehp.9198,,1552-9924,9,"Environmental Health Perspectives",,1381-1386,"Ariborne mold and endotoxin concentrations in New Orleans, Louisiana, after flooding, October through November 2005",114,2006,,0,19195,a018e131-9ae9-4a2f-9fb8-064a5190e9f3,"Journal Article",/article/10.1289/ehp.9198
/reference/a02f25a1-29c1-4564-9b41-7d974e8ce6b5,https://data.globalchange.gov/reference/a02f25a1-29c1-4564-9b41-7d974e8ce6b5,a02f25a1-29c1-4564-9b41-7d974e8ce6b5,"Context Ozone has been associated with various adverse health effects, including increased rates of hospital admissions and exacerbation of respiratory illnesses. Although numerous time-series studies have estimated associations between day-to-day variation in ozone levels and mortality counts, results have been inconclusive.Objective To investigate whether short-term (daily and weekly) exposure to ambient ozone is associated with mortality in the United States.Design and Setting Using analytical methods and databases developed for the National Morbidity, Mortality, and Air Pollution Study, we estimated a national average relative rate of mortality associated with short-term exposure to ambient ozone for 95 large US urban communities from 1987-2000. We used distributed-lag models for estimating community-specific relative rates of mortality adjusted for time-varying confounders (particulate matter, weather, seasonality, and long-term trends) and hierarchical models for combining relative rates across communities to estimate a national average relative rate, taking into account spatial heterogeneity.Main Outcome Measure Daily counts of total non–injury-related mortality and cardiovascular and respiratory mortality in 95 large US communities during a 14-year period.Results A 10-ppb increase in the previous week’s ozone was associated with a 0.52% increase in daily mortality (95% posterior interval [PI], 0.27%-0.77%) and a 0.64% increase in cardiovascular and respiratory mortality (95% PI, 0.31%-0.98%). Effect estimates for aggregate ozone during the previous week were larger than for models considering only a single day’s exposure. Results were robust to adjustment for particulate matter, weather, seasonality, and long-term trends.Conclusions These results indicate a statistically significant association between short-term changes in ozone and mortality on average for 95 large US urban communities, which include about 40% of the total US population. The findings indicate that this widespread pollutant adversely affects public health.","Bell, Michelle L.; McDermott, Aidan; Zeger, Scott L.; Samet, Jonathan M.; Dominici, Francesca",10.1001/jama.292.19.2372,,0098-7484,19,"JAMA: The Journal of the American Medical Association",,2372-2378,"Ozone and short-term mortality in 95 US urban communities, 1987-2000",292,2004,,0,18880,a02f25a1-29c1-4564-9b41-7d974e8ce6b5,"Journal Article",/article/10.1001/jama.292.19.2372
/reference/a033e39f-2028-453b-b37b-ec698f155b25,https://data.globalchange.gov/reference/a033e39f-2028-453b-b37b-ec698f155b25,a033e39f-2028-453b-b37b-ec698f155b25,,"D’Amato, G.
Cecchi, L.
D'Amato, M.
Liccardi, G.",,,1018-9068,2,"Journal of Investigational Allergology and Clinical Immunology",,95-102,"Urban air pollution and climate change as environmental risk factors of respiratory allergy: An update",20,2010,,0,1734,a033e39f-2028-453b-b37b-ec698f155b25,"Journal Article",/article/pmc-20461963
/reference/a03f3148-6495-417f-b241-f21d677e7f0d,https://data.globalchange.gov/reference/a03f3148-6495-417f-b241-f21d677e7f0d,a03f3148-6495-417f-b241-f21d677e7f0d,,"Zhang, Yu; Erera, Alan",,,,5,"Homeland Security Affairs",,,"Consequence assessment for complex food transportation systems facing catastrophic disruptions",4,2012,,0,17759,a03f3148-6495-417f-b241-f21d677e7f0d,"Journal Article",
/reference/a07918b9-2fa7-43e8-af02-e1794efe9fd6,https://data.globalchange.gov/reference/a07918b9-2fa7-43e8-af02-e1794efe9fd6,a07918b9-2fa7-43e8-af02-e1794efe9fd6,,"Garibaldi, Ann; Turner, Nancy",,,1708-3087,3,"Ecology and Society",,1,"Cultural keystone species: Implications for ecological conservation and restoration",9,2004,,0,18336,a07918b9-2fa7-43e8-af02-e1794efe9fd6,"Journal Article",/article/cultural-keystone-species-implications-ecological-conservation
/reference/a07ccb3f-964c-4cc6-a123-c6541ef317c4,https://data.globalchange.gov/reference/a07ccb3f-964c-4cc6-a123-c6541ef317c4,a07ccb3f-964c-4cc6-a123-c6541ef317c4,,"Stern, P C",10.1146/annurev.ps.43.020192.001413,,1545-2085,1,"Annual Review of Psychology",,269-302,"Psychological dimensions of global environmental change",43,1992,,0,18186,a07ccb3f-964c-4cc6-a123-c6541ef317c4,"Journal Article",/article/10.1146/annurev.ps.43.020192.001413
/reference/a1169c8e-60ab-4365-94bc-96daedb84b6f,https://data.globalchange.gov/reference/a1169c8e-60ab-4365-94bc-96daedb84b6f,a1169c8e-60ab-4365-94bc-96daedb84b6f,,"Board of Governors of the Federal Reserve System",,,,,,,,"2013 Survey of Consumer Finances: SCF Chartbook",,2014,,10,19138,a1169c8e-60ab-4365-94bc-96daedb84b6f,Report,/report/federalreserve-2013-scf-chartbook
/reference/a14d1133-2fb6-43c1-ba27-17b728ece8a7,https://data.globalchange.gov/reference/a14d1133-2fb6-43c1-ba27-17b728ece8a7,a14d1133-2fb6-43c1-ba27-17b728ece8a7,,"Noe, Rebecca S.; Jin, Jill O.; Wolkin, Amy F.",10.2105/ajph.2011.300557,,1541-0048,4,"American Journal of Public Health",,e11-e18,"Exposure to natural cold and heat: Hypothermia and hyperthermia medicare claims, United States, 2004–2005",102,2012,,0,17613,a14d1133-2fb6-43c1-ba27-17b728ece8a7,"Journal Article",/article/10.2105/ajph.2011.300557
/reference/a15e2a2a-0ed9-4e1e-8ca6-a020e84843b7,https://data.globalchange.gov/reference/a15e2a2a-0ed9-4e1e-8ca6-a020e84843b7,a15e2a2a-0ed9-4e1e-8ca6-a020e84843b7,,"Alessa, Lilian; Kliskey, Andrew; Williams, Paula; Barton, Michael",10.1016/j.gloenvcha.2007.05.007,,1872-9495,1,"Global Environmental Change",,153-164,"Perception of change in freshwater in remote resource-dependent Arctic communities",18,2008,,0,17822,a15e2a2a-0ed9-4e1e-8ca6-a020e84843b7,"Journal Article",/article/10.1016/j.gloenvcha.2007.05.007
/reference/a19a16db-8155-45a3-83f0-357064ec254a,https://data.globalchange.gov/reference/a19a16db-8155-45a3-83f0-357064ec254a,a19a16db-8155-45a3-83f0-357064ec254a,,"Weaver, C. P.; Cooter, E.; Gilliam, R.; Gilliland, A.; Grambsch, A.; Grano, D.; Hemming, B.; Hunt, S. W.; Nolte, C.; Winner, D. A.; Liang, X-Z.; Zhu, J.; Caughey, M.; Kunkel, K.; Lin, J-T.; Tao, Z.; Williams, A.; Wuebbles, D. J.; Adams, P. J.; Dawson, J. P.; Amar, P.; He, S.; Avise, J.; Chen, J.; Cohen, R. C.; Goldstein, A. H.; Harley, R. A.; Steiner, A. L.; Tonse, S.; Guenther, A.; Lamarque, J-F.; Wiedinmyer, C.; Gustafson, W. I.; Leung, L. R.; Hogrefe, C.; Huang, H-C.; Jacob, D. J.; Mickley, L. J.; Wu, S.; Kinney, P. L.; Lamb, B.; Larkin, N. K.; McKenzie, D.; Liao, K-J.; Manomaiphiboon, K.; Russell, A. G.; Tagaris, E.; Lynn, B. H.; Mass, C.; Salathé, E.; O'neill, S. M.; Pandis, S. N.; Racherla, P. N.; Rosenzweig, C.; Woo, J-H.",10.1175/2009BAMS2568.1,,1520-0477,12,"Bulletin of the American Meteorological Society",,1843-1863,"A preliminary synthesis of modeled climate change impacts on U.S. regional ozone concentrations",90,2009,,0,19100,a19a16db-8155-45a3-83f0-357064ec254a,"Journal Article",/article/10.1175/2009BAMS2568.1
/reference/a1a1caa5-a3b6-4dd1-aef3-396aebc8cfed,https://data.globalchange.gov/reference/a1a1caa5-a3b6-4dd1-aef3-396aebc8cfed,a1a1caa5-a3b6-4dd1-aef3-396aebc8cfed,"We use a global three-dimensional model (GEOS-CHEM) to better quantify the sources of elemental carbon (EC) and organic carbon (OC) aerosols in the United States through simulation of year-round observations for 1998 at a network of 45 sites (Interagency Monitoring of Protected Visual Environments (IMPROVE)). Simulation with our best a priori understanding of sources, including global satellite data to constrain fire emissions, captures most of the variance in the observations (R super 2 = 0.84 for EC, 0.67 for OC) with a low bias of 15 percent for EC and 26 percent for OC. Multiple linear regression to fit the IMPROVE data yields best estimates of 1998 U.S. sources of 0.60 Tg year super -1 EC and 0.52 Tg year super -1 OC from fossil fuel; 0.07 Tg year super -1 EC and 0.89 Tg year super -1 OC from biofuel; 0.08 Tg year super -1 EC and 0.60 Tg year super -1 OC from wildfires; and 1.10 Tg year super -1 OC from vegetation. We find that fires in Mexico and Canada contributed 40-70 percent of annual mean natural EC in the United States for 1998 and 20-30 percent of annual mean natural OC. Transpacific transport from Asian pollution sources amounted to less than 10 percent of the natural EC and less than 2 percent of the natural OC; in contrast to ozone, we find that intercontinental transport of anthropogenic carbonaceous aerosols does not enhance significantly the natural background. IMPROVE observations and model simulations for the summer of 1995 show that Canadian fire emissions can produce large events of elevated EC and OC in the southeastern United States. Our best estimates of mean natural concentrations of EC and OC in the United States, using a model simulation with climatological monthly mean fire emissions, are 2-3 times higher than the default values recommended by the U.S. Environmental Protection Agency for visibility calculations, except for OC in the eastern United States (16 percent lower).","Park, R.J., D.J. Jacob, M. Chin, and R.V. Martin",10.1029/2002JD003190,,0148-0227,D12,"Journal of Geophysical Research",,4355,"Sources of carbonaceous aerosols over the United States and implications for natural visibility",108,2003,,0,18909,a1a1caa5-a3b6-4dd1-aef3-396aebc8cfed,"Journal Article",/article/10.1029/2002JD003190
/reference/a1b08f2f-e94c-4628-b82a-a646e71116ec,https://data.globalchange.gov/reference/a1b08f2f-e94c-4628-b82a-a646e71116ec,a1b08f2f-e94c-4628-b82a-a646e71116ec,,"NOAA,",,,,,,,,"Weather Fatalities",,2010,,16,2235,a1b08f2f-e94c-4628-b82a-a646e71116ec,"Web Page",/webpage/f1a61f43-0119-4163-8c7a-36e2dc787687
/reference/a1fb85fd-306f-4b7a-8eb1-13925bc31f94,https://data.globalchange.gov/reference/a1fb85fd-306f-4b7a-8eb1-13925bc31f94,a1fb85fd-306f-4b7a-8eb1-13925bc31f94,,"Booze, Thomas F.; Reinhardt, Timothy E.; Quiring, Sharon J.; Ottmar, Roger D.",10.1080/15459620490442500,,1545-9632,5,"Journal of Occupational and Environmental Hygiene",,296-305,"A screening-level assessment of the health risks of chronic smoke exposure for wildland firefighters",1,2004,,0,17765,a1fb85fd-306f-4b7a-8eb1-13925bc31f94,"Journal Article",/article/10.1080/15459620490442500
/reference/a23ae616-9cef-4381-b8e7-1148eb73501b,https://data.globalchange.gov/reference/a23ae616-9cef-4381-b8e7-1148eb73501b,a23ae616-9cef-4381-b8e7-1148eb73501b,,"Johanning, Eckardt; Auger, Pierre; Morey, Philip R.; Yang, Chin S.; Olmsted, Ed",10.1007/s12199-013-0368-0,,1347-4715,2,"Environmental Health and Preventive Medicine",,93-99,"Review of health hazards and prevention measures for response and recovery workers and volunteers after natural disasters, flooding, and water damage: Mold and dampness",19,2014,,0,19162,a23ae616-9cef-4381-b8e7-1148eb73501b,"Journal Article",/article/10.1007/s12199-013-0368-0
/reference/a276ba75-d8d9-438f-8f5d-2a5ec1f746a3,https://data.globalchange.gov/reference/a276ba75-d8d9-438f-8f5d-2a5ec1f746a3,a276ba75-d8d9-438f-8f5d-2a5ec1f746a3,,CDC,,,,,,,,"Extreme Heat and Your Health: Heat and Infants and Children",,2011,,16,19276,a276ba75-d8d9-438f-8f5d-2a5ec1f746a3,"Web Page",/webpage/e41adecb-59d5-475b-95b6-fbfdb6b5041b
/reference/a2841ee1-771b-4580-903a-7b72a42cae34,https://data.globalchange.gov/reference/a2841ee1-771b-4580-903a-7b72a42cae34,a2841ee1-771b-4580-903a-7b72a42cae34,,CDC,,,,32,"MMWR. Morbidity and Mortality Weekly Report",,1088-1101,"Notice to readers: Final 2010 Reports of Nationally Notifiable Infectious Diseases",60,2011,,0,16518,a2841ee1-771b-4580-903a-7b72a42cae34,"Journal Article",/article/mmwr-mm6032a5
/reference/a2b35ee3-6dbb-47ab-8dce-dcbb265f92c5,https://data.globalchange.gov/reference/a2b35ee3-6dbb-47ab-8dce-dcbb265f92c5,a2b35ee3-6dbb-47ab-8dce-dcbb265f92c5,,"Kim, Janice J.; Shannon, Michael W.; Best, Dana; Binns, Helen J.; Johnson, Christine L.; Mazur, Lynnette J.; Reynolds, David W.; Roberts, James R.; Weil, William B. Jr.; Balk, Sophie J.; Miller, Mark; Shea, Katherine M.",10.1542/peds.2004-2166,,1098-4275,6,Pediatrics,,1699-1707,"Ambient air pollution: Health hazards to children",114,2004,,0,17634,a2b35ee3-6dbb-47ab-8dce-dcbb265f92c5,"Journal Article",/article/10.1542/peds.2004-2166
/reference/a2d07119-7558-405f-a9f5-d60377d86fa9,https://data.globalchange.gov/reference/a2d07119-7558-405f-a9f5-d60377d86fa9,a2d07119-7558-405f-a9f5-d60377d86fa9,,"Caamano-Isorna, Francisco; Figueiras, Adolfo; Sastre, Isabel; Montes-Martinez, Agustin; Taracido, Margarita; Pineiro-Lamas, Maria",10.1186/1476-069X-10-48,,1476-069X,1,"Environmental Health",,"Article 48","Respiratory and mental health effects of wildfires: An ecological study in Galician municipalities (north-west Spain)",10,2011,,0,19292,a2d07119-7558-405f-a9f5-d60377d86fa9,"Journal Article",/article/10.1186/1476-069X-10-48
/reference/a2d2f868-aa28-4f99-b3c0-6f5bc9c8c2fc,https://data.globalchange.gov/reference/a2d2f868-aa28-4f99-b3c0-6f5bc9c8c2fc,a2d2f868-aa28-4f99-b3c0-6f5bc9c8c2fc,,"Lim, Cathy; Duflou, Johan",10.1080/00313020701716466,,0031-3025,1,Pathology,,46-51,"Hypothermia fatalities in a temperate climate: Sydney, Australia",40,2008,,0,17782,a2d2f868-aa28-4f99-b3c0-6f5bc9c8c2fc,"Journal Article",/article/10.1080/00313020701716466
/reference/a2e946dd-8879-4202-be98-27dbe51b09f7,https://data.globalchange.gov/reference/a2e946dd-8879-4202-be98-27dbe51b09f7,a2e946dd-8879-4202-be98-27dbe51b09f7,,"Desvars, Amélie; Jégo, Sylvaine; Chiroleu, Frédéric; Bourhy, Pascale; Cardinale, Eric; Michault, Alain",10.1371/journal.pone.0020377,,1932-6203,5,"PLoS ONE",,e20377,"Seasonality of human leptospirosis in Reunion Island (Indian Ocean) and its association with meteorological data",6,2011,,0,16161,a2e946dd-8879-4202-be98-27dbe51b09f7,"Journal Article",/article/10.1371/journal.pone.0020377
/reference/a2ef9cb1-3891-49f7-aa87-7d232b1bc47b,https://data.globalchange.gov/reference/a2ef9cb1-3891-49f7-aa87-7d232b1bc47b,a2ef9cb1-3891-49f7-aa87-7d232b1bc47b,,,,,,,,,,"Routledge International Handbook of Climate Change and Society",,2010,,9,18125,a2ef9cb1-3891-49f7-aa87-7d232b1bc47b,Book,/book/d5dc224b-e5a2-4753-b5f5-fb55c26f4f10
/reference/a31388fc-07fd-4ca6-a6a4-7dc7b207e14a,https://data.globalchange.gov/reference/a31388fc-07fd-4ca6-a6a4-7dc7b207e14a,a31388fc-07fd-4ca6-a6a4-7dc7b207e14a,,"Johnston, Fay; Hanigan, Ivan; Henderson, Sarah; Morgan, Geoffrey; Bowman, David",10.1016/j.envres.2011.05.007,,0013-9351,6,"Environmental Research",,811-816,"Extreme air pollution events from bushfires and dust storms and their association with mortality in Sydney, Australia 1994–2007",111,2011,,0,17988,a31388fc-07fd-4ca6-a6a4-7dc7b207e14a,"Journal Article",/article/10.1016/j.envres.2011.05.007
/reference/a31abb74-51b0-46a9-a1db-cf9c708a457a,https://data.globalchange.gov/reference/a31abb74-51b0-46a9-a1db-cf9c708a457a,a31abb74-51b0-46a9-a1db-cf9c708a457a,,GAO,,,,,,,,"Army Corps of Engineers Efforts to Assess the Impact of Extreme Weather Events",,2015,,10,19139,a31abb74-51b0-46a9-a1db-cf9c708a457a,Report,/report/gao-15-660
/reference/a327f890-c007-4c50-99f1-f29afba8fdb1,https://data.globalchange.gov/reference/a327f890-c007-4c50-99f1-f29afba8fdb1,a327f890-c007-4c50-99f1-f29afba8fdb1,,"O’Neil, J. M.; Davis, T. W.; Burford, M. A.; Gobler, C. J.",10.1016/j.hal.2011.10.027,,1878-1470,,"Harmful Algae",,313-334,"The rise of harmful cyanobacteria blooms: The potential roles of eutrophication and climate change",14,2012,,0,19035,a327f890-c007-4c50-99f1-f29afba8fdb1,"Journal Article",/article/10.1016/j.hal.2011.10.027
/reference/a33149d2-8676-4f12-a5d5-7e48d9dfb115,https://data.globalchange.gov/reference/a33149d2-8676-4f12-a5d5-7e48d9dfb115,a33149d2-8676-4f12-a5d5-7e48d9dfb115,,"Thomas, Douglas S.; Butry, David T.",10.1007/s11069-013-0965-7,2014/04/01,1573-0840,3,"Natural Hazards",,1561-1585,"Areas of the U.S. wildland–urban interface threatened by wildfire during the 2001–2010 decade",71,2014,"Springer Netherlands",0,18997,a33149d2-8676-4f12-a5d5-7e48d9dfb115,"Journal Article",/article/10.1007/s11069-013-0965-7
/reference/a33f021d-b087-44d9-8fac-fb9507f789e8,https://data.globalchange.gov/reference/a33f021d-b087-44d9-8fac-fb9507f789e8,a33f021d-b087-44d9-8fac-fb9507f789e8,,"Keim, Mark E.",10.1016/j.amepre.2008.08.022,,0749-3797,5,"American Journal of Preventive Medicine","Ch7,8,9",508-516,"Building human resilience: The role of public health preparedness and response as an adaptation to climate change",35,2008,,0,16222,a33f021d-b087-44d9-8fac-fb9507f789e8,"Journal Article",/article/10.1016/j.amepre.2008.08.022
/reference/a422ad1f-e98f-490c-9364-15f3fb3591e1,https://data.globalchange.gov/reference/a422ad1f-e98f-490c-9364-15f3fb3591e1,a422ad1f-e98f-490c-9364-15f3fb3591e1,,CDC,,,,,,,,"Health, United States, 2013--At a Glance",2014,2014,,16,18588,a422ad1f-e98f-490c-9364-15f3fb3591e1,"Web Page",/webpage/6781e549-502f-4a06-bf5c-ab56d529331d
/reference/a42721e0-45e5-44d8-8a39-1e06330631e6,https://data.globalchange.gov/reference/a42721e0-45e5-44d8-8a39-1e06330631e6,a42721e0-45e5-44d8-8a39-1e06330631e6,,"Owen, Jennifer; Moore, Frank; Panella, Nicholas; Edwards, Eric; Bru, Rachel; Hughes, Megan; Komar, Nicholas",10.1007/s10393-006-0025-9,,1612-9210,2,EcoHealth,,79-85,"Migrating birds as dispersal vehicles for West Nile virus",3,2006,,0,18347,a42721e0-45e5-44d8-8a39-1e06330631e6,"Journal Article",/article/10.1007/s10393-006-0025-9
/reference/a42e3615-c289-4a95-af5f-76278e1500f2,https://data.globalchange.gov/reference/a42e3615-c289-4a95-af5f-76278e1500f2,a42e3615-c289-4a95-af5f-76278e1500f2,,"Kovats, R. Sari; Bouma, Menno J.; Hajat, Shakoor; Worrall, Eve; Haines, Andy",10.1016/s0140-6736(03)14695-8,,1474-547X,9394,"The Lancet",,1481-1489,"El Niño and health",362,2003,,0,17916,a42e3615-c289-4a95-af5f-76278e1500f2,"Journal Article",/article/10.1016/s0140-6736(03)14695-8
/reference/a42e5af6-7174-4a98-8f70-2a5c7d05ea6c,https://data.globalchange.gov/reference/a42e5af6-7174-4a98-8f70-2a5c7d05ea6c,a42e5af6-7174-4a98-8f70-2a5c7d05ea6c,,"U.S. Census Bureau",,,,,,,,"Annual Estimates of the Resident Population by Sex, Race, and Hispanic Origin for the United States, States, and Counties: April 1, 2010 to July 1, 2013",,2014,,48,18278,a42e5af6-7174-4a98-8f70-2a5c7d05ea6c,"Online Multimedia",/generic/d9f50686-21d8-4cf3-819f-6f2d22272f46
/reference/a43f4e92-7a5e-4f80-a715-dae981a210a0,https://data.globalchange.gov/reference/a43f4e92-7a5e-4f80-a715-dae981a210a0,a43f4e92-7a5e-4f80-a715-dae981a210a0,,"Scallan, Elaine; Griffin, Patricia M.; Angulo, Frederick J.; Tauxe, Robert V.; Hoekstra, Robert M.",10.3201/eid1701.P21101,,1080-6059,1,"Emerging Infectious Diseases",,16-22,"Foodborne illness acquired in the United States: Unspecified agents",17,2011,,0,16210,a43f4e92-7a5e-4f80-a715-dae981a210a0,"Journal Article",/article/10.3201/eid1701.P21101