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/bf86e108-6577-4e66-b97f-9ed230c2bb59,https://data.globalchange.gov/reference/bf86e108-6577-4e66-b97f-9ed230c2bb59,bf86e108-6577-4e66-b97f-9ed230c2bb59,"OBJECTIVES: To evaluate the association between residential distance to nearest major roadway, as a marker of long-term exposure to traffic pollution, and cognitive function in older adults. DESIGN: Prospective cohort study with median follow-up of 16.8 months. SETTING: Community. PARTICIPANTS: Seven hundred sixty-five community-dwelling seniors. MEASUREMENTS: The Mini-Mental State Examination, Hopkins Verbal Learning Test-Revised (HVLT-R), Trail Making Test (TMT), category and letter fluency tests, and Clock-in-the-Box Test were administered during home visits on two occasions. The residential distance to the nearest major roadway was calculated, and generalized estimating equations were used to evaluate the association between performance on each test and residential distance to nearest major roadway, adjusting for participant demographics, education, socioeconomic status, and past medical history. RESULTS: Shorter distance to major roadway was associated with statistically significantly poorer performance on the immediate and delayed recall components of the HVLT-R, TMT Part B, TMT delta, and letter and category fluency tests. Generally, participants residing less than 100 m from a major roadway performed worst. Performance improved monotonically with increasing distance. CONCLUSION: In this cohort of community-dwelling older adults, residential proximity to a major roadway was associated with poorer performance on cognitive tests of verbal learning and memory, psychomotor speed, language, and executive functioning. If causal, these results add to the growing evidence that living near major roadways is associated with adverse health outcomes.","Wellenius, G. A.; Boyle, L. D.; Coull, B. A.; Milberg, W. P.; Gryparis, A.; Schwartz, J.; Mittleman, M. A.; Lipsitz, L. A.",10.1111/j.1532-5415.2012.04195.x,Nov,0002-8614,11,"Journal of the American Geriatrics Society","Aged; *Air Pollution; Cognition/*physiology; Cohort Studies; Female; Humans; Male; Prospective Studies; *Residence Characteristics",eng,"1532-5415 Wellenius, Gregory A Boyle, Luke D Coull, Brent A Milberg, William P Gryparis, Alexandros Schwartz, Joel Mittleman, Murray A Lipsitz, Lewis A AG004390/AG/NIA NIH HHS/United States AG25037/AG/NIA NIH HHS/United States ES000002/ES/NIEHS NIH HHS/United States ES009825/ES/NIEHS NIH HHS/United States ES015774/ES/NIEHS NIH HHS/United States K99 ES015774/ES/NIEHS NIH HHS/United States P01 AG004390/AG/NIA NIH HHS/United States P01 ES009825/ES/NIEHS NIH HHS/United States P30 ES000002/ES/NIEHS NIH HHS/United States R00 ES015774/ES/NIEHS NIH HHS/United States R37 AG025037/AG/NIA NIH HHS/United States Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. United States J Am Geriatr Soc. 2012 Nov;60(11):2075-80. doi: 10.1111/j.1532-5415.2012.04195.x. Epub 2012 Nov 5.",2075-2080,"Residential proximity to nearest major roadway and cognitive function in community-dwelling seniors: Results from the MOBILIZE Boston Study",60,2012,0,18205,bf86e108-6577-4e66-b97f-9ed230c2bb59,"Journal Article",/article/10.1111/j.1532-5415.2012.04195.x
/reference/bf92266b-c107-4d7c-9bbb-1e4a08fa0fc7,https://data.globalchange.gov/reference/bf92266b-c107-4d7c-9bbb-1e4a08fa0fc7,bf92266b-c107-4d7c-9bbb-1e4a08fa0fc7,,"Tirado, M.C.
Clarke, R.
Jaykus, L.A.
McQuatters-Gollop, A.
Frank, J.M.",10.1016/j.foodres.2010.07.003,,0963-9969,7,"Food Research International",,,,1745-1765,"Climate change and food safety: A review",43,2010,0,3065,bf92266b-c107-4d7c-9bbb-1e4a08fa0fc7,"Journal Article",/article/10.1016/j.foodres.2010.07.003
/reference/bf9e1e12-177e-4d6a-bae5-c9ed434d64b2,https://data.globalchange.gov/reference/bf9e1e12-177e-4d6a-bae5-c9ed434d64b2,bf9e1e12-177e-4d6a-bae5-c9ed434d64b2,,"Lewitus, Alan J.; Horner, Rita A.; Caron, David A.; Garcia-Mendoza, Ernesto; Hickey, Barbara M.; Hunter, Matthew; Huppert, Daniel D.; Kudela, Raphael M.; Langlois, Gregg W.; Largier, John L.; Lessard, Evelyn J.; RaLonde, Raymond; Rensel, J.E. Jack; Strutton, Peter G.; Trainer, Vera L.; Tweddle, Jacqueline F.",10.1016/j.hal.2012.06.009,,1878-1470,,"Harmful Algae",,,,133-159,"Harmful algal blooms along the North American west coast region: History, trends, causes, and impacts",19,2012,0,17114,bf9e1e12-177e-4d6a-bae5-c9ed434d64b2,"Journal Article",/article/10.1016/j.hal.2012.06.009
/reference/bfc00315-ccea-4e7c-8a05-2650a07e4252,https://data.globalchange.gov/reference/bfc00315-ccea-4e7c-8a05-2650a07e4252,bfc00315-ccea-4e7c-8a05-2650a07e4252,,"EPA,",,,,,,,,,84,"Climate Change Indicators in the United States, 2nd Edition",,2012,10,3235,bfc00315-ccea-4e7c-8a05-2650a07e4252,Report,/report/epa-430-r-12-004
/reference/bfe9c84b-bd9b-4db1-b09b-fd5d856176af,https://data.globalchange.gov/reference/bfe9c84b-bd9b-4db1-b09b-fd5d856176af,bfe9c84b-bd9b-4db1-b09b-fd5d856176af,,"Alessandrini, Ester; Zauli Sajani, Stefano; Scotto, Fabiana; Miglio, Rossella; Marchesi, Stefano; Lauriola, Paolo",10.1016/j.envres.2011.07.005,,0013-9351,8,"Environmental Research",,,,1192-1200,"Emergency ambulance dispatches and apparent temperature: A time series analysis in Emilia–Romagna, Italy",111,2011,0,17584,bfe9c84b-bd9b-4db1-b09b-fd5d856176af,"Journal Article",/article/10.1016/j.envres.2011.07.005
/reference/bff0d105-61b1-450c-90e3-a82c7132021b,https://data.globalchange.gov/reference/bff0d105-61b1-450c-90e3-a82c7132021b,bff0d105-61b1-450c-90e3-a82c7132021b,,"Appleyard, S.J.; Angeloni, J.; Watkins, R.",10.1016/j.apgeochem.2005.09.008,,0883-2927,1,"Applied Geochemistry",,,,83-97,"Arsenic-rich groundwater in an urban area experiencing drought and increasing population density, Perth, Australia",21,2006,0,19107,bff0d105-61b1-450c-90e3-a82c7132021b,"Journal Article",/article/10.1016/j.apgeochem.2005.09.008
/reference/c0076f84-2a19-435c-a326-efb6f0aa09c6,https://data.globalchange.gov/reference/c0076f84-2a19-435c-a326-efb6f0aa09c6,c0076f84-2a19-435c-a326-efb6f0aa09c6,"Hantaviruses cause hemorrhagic fever with renal syndrome (HFRS) in Eurasia. In Europe both the amplitude and the magnitude of outbreaks of HFRS have increased. The mechanisms that drive the incidences are complex and multi-factorial and only partially due to increased awareness and improved diagnostic tools. Risk determinants include reservoir ecology, virus ecology and anthropogenic factors. The dogma of one specific rodent species as primordial reservoir for a specific hantavirus is increasingly challenged. New hantaviruses have been discovered in shrews, moles and bats and increasing evidence points at host-switching events and co-circulation in multiple, sympatric reservoir species, challenging the strict rodent-virus co-evolution theory. Changing landscape attributes and climatic parameters determine fluctuations in hantavirus epidemiology, for instance through increased food availability, prolonged virus survival and decreased biodiversity.","Reusken, C.; Heyman, P.",10.1016/j.coviro.2013.01.002,Feb,1879-6257,1,"Current Opinion in Virology","Animals; Climate; Ecosystem; Europe/epidemiology; Hantavirus/ isolation & purification; Hantavirus Infections/ epidemiology/ transmission; Human Activities; Humans; Incidence; Zoonoses/ epidemiology/ transmission",eng,"Reusken, Chantal Heyman, Paul Review Netherlands Curr Opin Virol. 2013 Feb;3(1):92-9. doi: 10.1016/j.coviro.2013.01.002. Epub 2013 Feb 4.",92-99,"Factors driving hantavirus emergence in Europe",3,2013,0,5061,c0076f84-2a19-435c-a326-efb6f0aa09c6,"Journal Article",/article/10.1016/j.coviro.2013.01.002
/reference/c00f6a68-4fab-428d-92c6-fb5e266448a8,https://data.globalchange.gov/reference/c00f6a68-4fab-428d-92c6-fb5e266448a8,c00f6a68-4fab-428d-92c6-fb5e266448a8,"After 3 dengue cases were acquired in Key West, Florida, we conducted a serosurvey to determine the scope of the outbreak. Thirteen residents showed recent infection (infection rate 5%; 90% CI 2%-8%), demonstrating the reemergence of dengue in Florida. Increased awareness of dengue among health care providers is needed.","Radke, E. G.; Gregory, C. J.; Kintziger, K. W.; Sauber-Schatz, E. K.; Hunsperger, E.; Gallagher, G. R.; Barber, J. M.; Biggerstaff, B. J.; Stanek, D. R.; Tomashek, K. M.; Blackmore, C. G. M.",10.3201/eid1801.110130,Jan,1080-6059,01,"Emerging Infectious Diseases","Dengue/*epidemiology; *Disease Outbreaks; Florida/epidemiology; Humans; Odds Ratio; Risk Factors",,"Radke, Elizabeth G Gregory, Christopher J Kintziger, Kristina W Sauber-Schatz, Erin K Hunsperger, Elizabeth A Gallagher, Glen R Barber, Jean M Biggerstaff, Brad J Stanek, Danielle R Tomashek, Kay M Blackmore, Carina G M eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. 2012/01/20 06:00 Emerg Infect Dis. 2012 Jan;18(1):135-7. doi: 10.3201/eid1801.110130.",135-137,"Dengue outbreak in Key West, Florida, USA, 2009",18,2012,0,18024,c00f6a68-4fab-428d-92c6-fb5e266448a8,"Journal Article",/article/10.3201/eid1801.110130
/reference/c03364a0-5c30-4bef-97a5-712edacd850c,https://data.globalchange.gov/reference/c03364a0-5c30-4bef-97a5-712edacd850c,c03364a0-5c30-4bef-97a5-712edacd850c,,CDC,,,,,,,,,,"CDC Estimates of Foodborne Illness in the United States",,2014,16,19120,c03364a0-5c30-4bef-97a5-712edacd850c,"Web Page",/webpage/17051260-02e8-4675-be33-a2eb615c9b48
/reference/c038793a-037f-4538-96f0-630545076166,https://data.globalchange.gov/reference/c038793a-037f-4538-96f0-630545076166,c038793a-037f-4538-96f0-630545076166,,"Schumacher, Russ S.; Galarneau, Thomas J.",10.1175/mwr-d-11-00307.1,,1520-0493,6,"Monthly Weather Review",,,,1810-1827,"Moisture transport into midlatitudes ahead of recurving tropical cyclones and its relevance in two predecessor rain events",140,2012,0,17578,c038793a-037f-4538-96f0-630545076166,"Journal Article",/article/10.1175/mwr-d-11-00307.1
/reference/c0396fac-d3a6-4f4a-832f-fcd95bc6e3d0,https://data.globalchange.gov/reference/c0396fac-d3a6-4f4a-832f-fcd95bc6e3d0,c0396fac-d3a6-4f4a-832f-fcd95bc6e3d0,,"Lindsey, Nicle P.; Staples, J.Erin; Lehman, Jennifer A.; Fischer, Marc",,,1545-8636,2,"Morbidity and Mortality Weekly Report - Surveillance Summaries",,,,1-17,"Surveillance for human West Nile virus disease - United States, 1999-2008",59,2010,0,19238,c0396fac-d3a6-4f4a-832f-fcd95bc6e3d0,"Journal Article",/article/pmid-20360671
/reference/c03a82c4-94ef-4c8e-8062-99e9e3d5e45e,https://data.globalchange.gov/reference/c03a82c4-94ef-4c8e-8062-99e9e3d5e45e,c03a82c4-94ef-4c8e-8062-99e9e3d5e45e,,"Gubernot, Diane M.; Anderson, G. Brooke; Hunting, Katherine L.",10.1007/s00484-013-0752-x,,1432-1254,8,"International Journal of Biometeorology",,,,1779-1788,"The epidemiology of occupational heat exposure in the United States: A review of the literature and assessment of research needs in a changing climate",58,2014,0,17849,c03a82c4-94ef-4c8e-8062-99e9e3d5e45e,"Journal Article",/article/10.1007/s00484-013-0752-x
/reference/c0419502-0517-447b-886f-ece5ec4cda6c,https://data.globalchange.gov/reference/c0419502-0517-447b-886f-ece5ec4cda6c,c0419502-0517-447b-886f-ece5ec4cda6c,,"Delcour, Ilse; Spanoghe, Pieter; Uyttendaele, Mieke",10.1016/j.foodres.2014.09.030,,1873-7145,,"Food Research International",,,,7-15,"Literature review: Impact of climate change on pesticide use",68,2015,0,19110,c0419502-0517-447b-886f-ece5ec4cda6c,"Journal Article",/article/10.1016/j.foodres.2014.09.030
/reference/c04c5716-c318-4a4c-9774-ae61ce97d305,https://data.globalchange.gov/reference/c04c5716-c318-4a4c-9774-ae61ce97d305,c04c5716-c318-4a4c-9774-ae61ce97d305,,"Chakraborty, S.
Newton, A.C.",10.1111/j.1365-3059.2010.02411.x,,1365-3059,1,"Plant Pathology",,,,2-14,"Climate change, plant diseases and food security: An overview",60,2011,0,344,c04c5716-c318-4a4c-9774-ae61ce97d305,"Journal Article",/article/10.1111/j.1365-3059.2010.02411.x
/reference/c1170f20-6345-4a49-b0fd-455bbd1c3264,https://data.globalchange.gov/reference/c1170f20-6345-4a49-b0fd-455bbd1c3264,c1170f20-6345-4a49-b0fd-455bbd1c3264,,"Laugharne, Jonathan; Van de Watt, Gill; Janca, Aleksandar",10.1097/YCO.0b013e32833f5e4e,,0951-7367,1,"Current Opinion in Psychiatry",,,,72-77,"After the fire: The mental health consequences of fire disasters",24,2011,0,16364,c1170f20-6345-4a49-b0fd-455bbd1c3264,"Journal Article",/article/10.1097/YCO.0b013e32833f5e4e
/reference/c11c6252-a26d-431f-b450-2d590921cdc7,https://data.globalchange.gov/reference/c11c6252-a26d-431f-b450-2d590921cdc7,c11c6252-a26d-431f-b450-2d590921cdc7,,"Chen, Chi-Chung; McCarl, Bruce A.",10.1023/a:1010655503471,,1573-1480,4,"Climatic Change",,,,475-487,"An investigation of the relationship between pesticide usage and climate change",50,2001,0,17899,c11c6252-a26d-431f-b450-2d590921cdc7,"Journal Article",/article/10.1023/a:1010655503471
/reference/c142a857-65af-499e-9f99-3e1666903eca,https://data.globalchange.gov/reference/c142a857-65af-499e-9f99-3e1666903eca,c142a857-65af-499e-9f99-3e1666903eca,"BACKGROUND: Severe heat-related illness can result in hospitalisation and possibly death. These illnesses are potentially preventable; in Australia high environmental temperatures are common. AIMS: To identify (i) possible risk factors for hospital attendance with heat-related illness during a heat wave, (ii) problems with diagnosis and therapy, (iii) issues in prevention, and (iv) areas for further study. METHODS: A retrospective descriptive survey from four major teaching hospitals in Adelaide, South Australia (SA), was conducted during a ten day period of exceptional heat in February 1993, in order to review all emergency department presentations (i.e. deaths, casualty treatment or hospital admissions) with a heat-related illness as determined by attending doctors' documentation. Demographic, clinical, management and outcome data were collected. RESULTS: Ninety-four patients were classified as having a heat-related illness of whom 78% had heat exhaustion. Eighty-five per cent were age 60 years or over; 20% came from institutional care; 48% lived alone; 30% had poor mobility. Peak presentation followed high daily temperatures for four consecutive days. Severity was related to pre-existing cognitive impairment, diuretic use and presenting temperature, heart rate, blood pressure, plasma sodium and plasma creatinine. Treatment tended to be non-standardised. Mortality was 12%. Seventeen per cent required a more dependent level of residential care upon discharge. CONCLUSION: Problems were identified in accuracy of diagnosis and appropriate intervention. Awareness of the risk factor profile is needed among health workers, to ensure early preventative strategies. Populations to target for future prevention include elderly people (including those in institutional care), patients with cognitive impairment and patients taking diuretics, multiple medication and/or with other severe co-existing illnesses. Treatment could be more standardised.","Faunt, J. D.; Wilkinson, T. J.; Aplin, P.; Henschke, P.; Webb, M.; Penhall, R. K.",10.1111/j.1445-5994.1995.tb02822.x,Apr,0004-8291,2,"Australian and New Zealand Journal of Medicine","Adult; Aged; Aged, 80 and over; Female; Frail Elderly/statistics & numerical data; *Heat Exhaustion/epidemiology/prevention & control/therapy; *Hospitalization; Hot Temperature/*adverse effects; Humans; Male; Middle Aged; Retrospective Studies; Risk Factors; South Australia/epidemiology",eng,"Faunt, J D Wilkinson, T J Aplin, P Henschke, P Webb, M Penhall, R K Journal Article Australia Aust N Z J Med. 1995 Apr;25(2):117-21.",117-121,"The effete in the heat: Heat-related hospital presentations during a ten day heat wave",25,1995,0,18087,c142a857-65af-499e-9f99-3e1666903eca,"Journal Article",/article/10.1111/j.1445-5994.1995.tb02822.x
/reference/c14babc5-c018-4eb8-aa5a-8630fc626451,https://data.globalchange.gov/reference/c14babc5-c018-4eb8-aa5a-8630fc626451,c14babc5-c018-4eb8-aa5a-8630fc626451,,"Levantesi, Caterina; Bonadonna, Lucia; Briancesco, Rossella; Grohmann, Elisabeth; Toze, Simon; Tandoi, Valter",10.1016/j.foodres.2011.06.037,3//,1873-7145,2,"Food Research International","Water-borne outbreaks; Salmonella; Typhoid fever; Surface water; Multiple drug resistance; Drinking water",,,587-602,"Salmonella in surface and drinking water: Occurrence and water-mediated transmission",45,2012,0,19018,c14babc5-c018-4eb8-aa5a-8630fc626451,"Journal Article",/article/10.1016/j.foodres.2011.06.037
/reference/c18994b6-018f-40ab-95e0-f8f9102723c8,https://data.globalchange.gov/reference/c18994b6-018f-40ab-95e0-f8f9102723c8,c18994b6-018f-40ab-95e0-f8f9102723c8,,"Trainer, Vera L.; Eberhart, Bich-Thuy L.; Wekell, John C.; Adams, Nicolaus G.; Hanson, Linda; Cox, Frank; Dowell, Judy",,,1943-6319,1,"Journal of Shellfish Research","alexandrium; PSP; Puget Sound; Washington",,,213-223,"Paralytic shellfish toxins in Puget Sound, Washington state",22,2003,0,17498,c18994b6-018f-40ab-95e0-f8f9102723c8,"Journal Article",/article/paralytic-shellfish-toxins-puget-sound-washington-state
/reference/c1f322cc-dd13-470a-bcba-de7e5a992310,https://data.globalchange.gov/reference/c1f322cc-dd13-470a-bcba-de7e5a992310,c1f322cc-dd13-470a-bcba-de7e5a992310,"OBJECTIVE: This study estimated the prevalence of psychopathology at a three-month follow-up among persons seeking emergency relief services after a wildfire and identified a practical screener for use in these disaster assistance settings to aid early identification of persons at risk of subsequent psychopathology. METHODS: During the October 2003 California firestorm that occurred at the wildland-urban interface, 357 persons who were seeking assistance from adjacent American Red Cross and government relief centers were recruited for this study. Within days of mandatory evacuation, participants completed baseline self-administered questionnaires assessing demographic characteristics, initial subjective reactions, and degree of fire exposure. At the three-month follow-up, symptoms of posttraumatic stress disorder (PTSD) and major depression were measured via a mailed survey. RESULTS: At follow-up 33% showed evidence of probable major depression; 24% exhibited probable PTSD. On a bivariate basis, seven initial reaction and fire exposure items were significantly associated with subsequent psychopathology. Best-subsets logistic regression analyses revealed that property damage and physical injury were the best multivariate predictors of psychopathology at follow-up. No additional items provided a significant incremental improvement in prediction. CONCLUSIONS: Individuals seeking immediate emergency assistance related to the wildland-urban interface fire were at elevated risk of psychopathology in the weeks after the fire. A short, easily administered, two-item screener, composed of items assessing fire exposure severity, appears to hold promise for aiding early identification of persons at risk of postfire psychopathology. These findings may also have implications for other mass disasters.","Marshall, G. N.; Schell, T. L.; Elliott, M. N.; Rayburn, N. R.; Jaycox, L. H.",10.1176/appi.ps.58.4.509,Apr,1557-9700,4,"Psychiatric Services","Adult; California; Comorbidity; Cross-Sectional Studies; Depressive Disorder, Major/diagnosis/*epidemiology/psychology; Early Diagnosis; Female; Financing, Government/*utilization; Fires/*statistics & numerical data; Follow-Up Studies; Humans; Male; Mass Screening/statistics & numerical data; Middle Aged; Psychopathology; Questionnaires; *Red Cross; Risk Factors; Rural Population/statistics & numerical data; Stress Disorders, Post-Traumatic/diagnosis/*epidemiology/psychology; Urban Population/statistics & numerical data",eng,"Marshall, Grant N Schell, Terry L Elliott, Marc N Rayburn, Nadine R Jaycox, Lisa H MH-056122/MH/NIMH NIH HHS/United States Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't United States Psychiatr Serv. 2007 Apr;58(4):509-14.",509-514,"Psychiatric disorders among adults seeking emergency disaster assistance after a wildland-urban interface fire",58,2007,0,18130,c1f322cc-dd13-470a-bcba-de7e5a992310,"Journal Article",/article/10.1176/appi.ps.58.4.509