uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Keywords,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs.\.reference_type,attrs._chapter,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/bc2afe1f-2d94-413a-a1c7-f7d3868751ed,https://data.globalchange.gov/reference/bc2afe1f-2d94-413a-a1c7-f7d3868751ed,bc2afe1f-2d94-413a-a1c7-f7d3868751ed,"CONTEXT: A disaster is indiscriminate in whom it affects. Limited research has shown that the poor and medically underserved, especially in rural areas, bear an inequitable amount of the burden. OBJECTIVE: To review the literature on the combined effects of a disaster and living in an area with existing health or health care disparities on a community's health, access to health resources, and quality of life. METHODS: We performed a systematic literature review using the following search terms: disaster, health disparities, health care disparities, medically underserved, and rural. Our inclusion criteria were peer-reviewed, US studies that discussed the delayed or persistent health effects of disasters in medically underserved areas. RESULTS: There has been extensive research published on disasters, health disparities, health care disparities, and medically underserved populations individually, but not collectively. CONCLUSIONS: The current literature does not capture the strain of health and health care disparities before and after a disaster in medically underserved communities. Future disaster studies and policies should account for differences in health profiles and access to care before and after a disaster.","Davis, J. R.; Wilson, S.; Brock-Martin, A.; Glover, S.; Svendsen, E. R.",10.1017/S1935789300002391,Mar,1938-744X,01,"Disaster Medicine and Public Health Preparedness","Community Health Services/organization & administration; *Disasters; Health Services Accessibility/organization & administration; *Health Status Disparities; *Healthcare Disparities; Humans; *Medically Underserved Area; Quality of Life; Rural Health Services/organization & administration; Rural Population; Socioeconomic Factors; United States",30-38,"The impact of disasters on populations with health and health care disparities",4,2010,0,Ch9,16419,bc2afe1f-2d94-413a-a1c7-f7d3868751ed,"Journal Article",/article/10.1017/S1935789300002391
/reference/bc345bc8-27cb-401b-a957-d950bef3febc,https://data.globalchange.gov/reference/bc345bc8-27cb-401b-a957-d950bef3febc,bc345bc8-27cb-401b-a957-d950bef3febc,"West Nile virus (WNV) has been present in the Yucatan State, Mexico, since 2002. Culex quinquefasciatus, one of the main vectors of WNV transmission in the United States, is also common in Mexico and may be a key vector of WNV transmission t o humans in t he Yucatan. The aim of this study was to determine the length of the gonotrophic cycle and the survival rates of Cx. quinquefasciatus from Merida, Yucatan, during the rainy versus the dry season. Mosquitoes were collected during 25-day periods in October (rainy season) and in April (dry season), and captured females were classified by abdominal appearance (freshly fed, late-stage fed, half gravid, and subgravid). To determine the age structure as nulliparous and parous females and to calculate the gonotrophic cycle through a time series and the mosquito survival, we used Davidson formulae. Also, vitellogenesis analysis to monitor egg maturity was conducted during both seasons. Cross-correlation data suggested a similar length of the gonotrophic cycle (4 days) in both seasons. Oogenic development required a minimum of 72 h in each season. However, survival of the mosquito population collected in the rainy season was significantly higher (0.91) with a mean temperature of 28 +/- 1.57 degrees C than was survival in the dry season (0.78) with a mean temperature of 29 +/- 1.10 degrees C. Survival, although higher during the rainy season, did not influence the length of the gonotrophic cycle of Cx. quinquefasciatus in Yucatan.","García-Rejón, Julian E.; Farfan-Ale, Jose A.; Ulloa, Armando; Flores-Flores, Luis F.; Rosado-Paredes, Elsy; Baak-Baak, Carlos; Loroño-Pino, Maria A.; Fernández-Salas, Ildefonso; Beaty, Barry J.",10.2987/5667.1,Sep,8756-971X,3,"Journal of the American Mosquito Control Association","Animals; Culex/*physiology; Female; Mexico; *Oviparity; *Rain; *Seasons; Time Factors; Vitellogenesis",344-348,"Gonotrophic cycle estimate for Culex quinquefasciatus in Mérida, Yucatán, México",24,2008,0,,18001,bc345bc8-27cb-401b-a957-d950bef3febc,"Journal Article",/article/10.2987/5667.1
/reference/bc6db90e-3e83-4c12-8270-83da70318f67,https://data.globalchange.gov/reference/bc6db90e-3e83-4c12-8270-83da70318f67,bc6db90e-3e83-4c12-8270-83da70318f67,"Abstract: Visibility-related weather hazards have significant impacts on motor vehicle operators due to decreased driver vision, reduced roadway speed, amplified speed variability, and elevated crash risk. This research presents a national analysis of fog-, smoke-, and dust storm-associated vehicular fatalities in the U.S. Initially, a database of weather-related motor vehicle crash fatalities from 1994?2011 is constructed from National Highway Traffic Safety Administration data. Thereafter, spatiotemporal analyses of visibility-related (crashes where a vision hazard was reported at time of event) and vision-obscured (driver's vision was recorded as obscured by weather and a weather-related vision hazard was reported) fatal vehicular crashes are presented. Results reveal that the annual number of fatalities associated with weather-related vision obscured vehicular crashes is comparable to those of more notable and captivating hazards such as tornadoes, floods, tropical cyclones, and lightning. The majority of these vision-obscured crash fatalities occurred in fog, on State and U.S. Numbered Highways, during the cool season, and during the morning commuting hours of 5 to 8 AM local time. Areas that experience the greatest frequencies of vision-obscured fatal crashes are located in the Central Valley of California, Appalachian Mountain and Mid-Atlantic region, the Midwest, and along the Gulf Coast. From 2007?2011, 72% of all vision-obscured fatal crashes occurred when there was no National Weather Service weather-related visibility advisory in effect. The deadliest weather-related visibility hazard crashes during the period are exhibited, revealing a spectrum of environmental and geographical settings that can trigger these high-end events. Capsule: The death toll from motor vehicle crashes due to weather-related vision hazards exceeds the number of fatalities caused by more notable hazards such as tornadoes, floods, tropical cyclones, and lightning.","Ashley, Walker S.; Strader, Stephen; Dziubla, Douglas C.; Haberlie, Alex",10.1175/BAMS-D-14-00026.1,,1520-0477,5,"Bulletin of the American Meteorological Society",,755-778,"Driving blind: Weather-related vision hazards and fatal motor vehicle crashes",96,2015,0,,18995,bc6db90e-3e83-4c12-8270-83da70318f67,"Journal Article",/article/10.1175/BAMS-D-14-00026.1
/reference/bc881478-a19f-48b7-af8e-40c36deaa679,https://data.globalchange.gov/reference/bc881478-a19f-48b7-af8e-40c36deaa679,bc881478-a19f-48b7-af8e-40c36deaa679,"BACKGROUND: Epidemiologic studies have demonstrated an association between acute exposure to ambient fine particles and both mortality and morbidity. Less is known about the relative impacts of the specific chemical constituents of particulate matter < 2.5 μm in aerodynamic diameter (PM(2.5)) on hospital admissions. OBJECTIVE: This study was designed to estimate the risks of exposure to PM(2.5) and several species on hospital admissions for respiratory diseases among children. DATA AND METHODS: We obtained data on daily counts of hospitalizations for children < 19 and < 5 years of age for total respiratory diseases and several subcategories including pneumonia, acute bronchitis, and asthma for six California counties from 2000 through 2003, as well as ambient concentrations of PM(2.5) and its constituents, including elemental carbon (EC), organic carbon (OC), and nitrates (NO(3)). We used Poisson regression to estimate risks while controlling for important covariates. RESULTS: We observed associations between several components of PM(2.5) and hospitalization for all of the respiratory outcomes examined. For example, for total respiratory admissions for children < 19 years of age, the interquartile range for a 3-day lag of PM(2.5), EC, OC, NO(3), and sulfates was associated with an excess risk of 4.1% [95% confidence interval (CI), 1.8–6.4], 5.4% (95% CI, 0.8–10.3), 3.4% (95% CI, 1.1–5.7), 3.3% (95% CI, 1.1–5.5), and 3.0% (95% CI, 0.4–5.7), respectively. We also observed associations for several metals. Additional associations with several of the species, including potassium, were observed in the cool season. CONCLUSION: Components of PM(2.5) were associated with hospitalization for several childhood respiratory diseases including pneumonia, bronchitis, and asthma. Because exposure to components (e.g., EC, OC, NO(3), and K) and their related sources, including diesel and gasoline exhaust, wood smoke, and other combustion sources, are ubiquitous in the urban environment, it likely represents an identifiable and preventable risk factor for hospitalization for children.","Ostro, Bart; Roth, Lindsey; Malig, Brian; Marty, Melanie",10.1289/ehp.11848,"12/16 06/23/received 12/16/accepted",1552-9924,3,"Environmental Health Perspectives",,475-480,"The effects of fine particle components on respiratory hospital admissions in children",117,2009,0,,19096,bc881478-a19f-48b7-af8e-40c36deaa679,"Journal Article",/article/10.1289/ehp.11848
/reference/bd29492f-7bfc-49f5-957e-c53d413736af,https://data.globalchange.gov/reference/bd29492f-7bfc-49f5-957e-c53d413736af,bd29492f-7bfc-49f5-957e-c53d413736af,,"Tarr, Phillip I.; Gordon, Carrie A.; Chandler, Wayne L.",10.1016/S0140-6736(05)71144-2,,1474-547X,,"The Lancet",,1073-1086,"Shiga-toxin-producing Escherichia coli and haemolytic uraemic syndrome",365,2005,0,,19364,bd29492f-7bfc-49f5-957e-c53d413736af,"Journal Article",/article/10.1016/S0140-6736(05)71144-2
/reference/bd32de10-ebf5-44eb-9f99-4857be1f5ad4,https://data.globalchange.gov/reference/bd32de10-ebf5-44eb-9f99-4857be1f5ad4,bd32de10-ebf5-44eb-9f99-4857be1f5ad4,,"Leiserowitz, A.",10.1007/s10584-006-9059-9,,0165-0009,1-2,"Climatic Change",,45-72,"Climate change risk perception and policy preferences: The role of affect, imagery, and values",77,2006,0,"[""Ch. 28: Adaptation FINAL""]",324,bd32de10-ebf5-44eb-9f99-4857be1f5ad4,"Journal Article",/article/10.1007/s10584-006-9059-9
/reference/bd9feade-2618-443b-93ba-f8a5aab0a442,https://data.globalchange.gov/reference/bd9feade-2618-443b-93ba-f8a5aab0a442,bd9feade-2618-443b-93ba-f8a5aab0a442,,"Furth, Deborah P.",,,,1,"Hastings West-Northwest Journal of Environmental Law and Policy",,251-276,"What's in the water? Climate change, waterborne pathogens, and the safety of the rural Alaskan water supply",16,2010,0,,18940,bd9feade-2618-443b-93ba-f8a5aab0a442,"Journal Article",/article/whats-water
/reference/bdea0759-701d-4183-9966-cee3ce977e08,https://data.globalchange.gov/reference/bdea0759-701d-4183-9966-cee3ce977e08,bdea0759-701d-4183-9966-cee3ce977e08,,"Medina-Ramón, M.
Schwartz, J.",10.1136/oem.2007.033175,,1470-7926,12,"Occupational and Environmental Medicine",,827-833,"Temperature, temperature extremes, and mortality: A study of acclimatisation and effect modification in 50 US cities",64,2007,0,"[""Ch. 9: Human Health FINAL"",""Overview""]",1978,bdea0759-701d-4183-9966-cee3ce977e08,"Journal Article",/article/10.1136/oem.2007.033175
/reference/bdf736ee-bbce-4486-9add-d0718c5e22e6,https://data.globalchange.gov/reference/bdf736ee-bbce-4486-9add-d0718c5e22e6,bdf736ee-bbce-4486-9add-d0718c5e22e6,,"Barlow, P.M.",,,,,,,113,"Ground Water in Freshwater-Saltwater Environments of the Atlantic Coast",,2003,10,,18605,bdf736ee-bbce-4486-9add-d0718c5e22e6,Report,/report/usgs-circular-1262
/reference/be14c1d4-c494-4844-b147-951f1c44a497,https://data.globalchange.gov/reference/be14c1d4-c494-4844-b147-951f1c44a497,be14c1d4-c494-4844-b147-951f1c44a497,,"Fann, Neal; Lamson, Amy D.; Anenberg, Susan C.; Wesson, Karen; Risley, David; Hubbell, Bryan J.",10.1111/j.1539-6924.2011.01630.x,,1539-6924,1,"Risk Analysis",,81-95,"Estimating the national public health burden associated with exposure to ambient PM2.5 and ozone",32,2012,0,"Ch3,10",16105,be14c1d4-c494-4844-b147-951f1c44a497,"Journal Article",/article/10.1111/j.1539-6924.2011.01630.x
/reference/be4c7d95-2b71-45fb-b901-b68f5c1ad057,https://data.globalchange.gov/reference/be4c7d95-2b71-45fb-b901-b68f5c1ad057,be4c7d95-2b71-45fb-b901-b68f5c1ad057,,"Singer, Ben D.; Ziska, Lewis H.; Frenz, David A.; Gebhard, Dennis E.; Straka, James G.",10.1071/fp05039,,1445-4408,7,"Functional Plant Biology",,667-670,"Increasing Amb a 1 content in common ragweed (Ambrosia artemisiifolia) pollen as a function of rising atmospheric CO2 concentration",32,2005,0,"Ch3,6",16475,be4c7d95-2b71-45fb-b901-b68f5c1ad057,"Journal Article",/article/10.1071/fp05039
/reference/be655d0c-74e0-4fb4-afa3-2f4a0770dc38,https://data.globalchange.gov/reference/be655d0c-74e0-4fb4-afa3-2f4a0770dc38,be655d0c-74e0-4fb4-afa3-2f4a0770dc38,,"Fu, Fei Xue; Tatters, Avery O.; Hutchins, David A.",10.3354/meps10047,,1616-1599,,"Marine Ecology Progress Series",,207-233,"Global change and the future of harmful algal blooms in the ocean",470,2012,0,,16871,be655d0c-74e0-4fb4-afa3-2f4a0770dc38,"Journal Article",/article/10.3354/meps10047
/reference/be6a9cf6-c65f-43a6-871a-4bc2c81c4b0e,https://data.globalchange.gov/reference/be6a9cf6-c65f-43a6-871a-4bc2c81c4b0e,be6a9cf6-c65f-43a6-871a-4bc2c81c4b0e,,"Qin, P.; Waltoft, B. L.; Mortensen, P. B.; Postolache, T. T.",10.1136/bmjopen-2012-002462,,2044-6055,5,"BMJ Open",,e002462,"Suicide risk in relation to air pollen counts: A study based on data from Danish registers",3,2013,0,Ch8,16376,be6a9cf6-c65f-43a6-871a-4bc2c81c4b0e,"Journal Article",/article/10.1136/bmjopen-2012-002462
/reference/be8cf058-1959-4c24-b7e6-d6c13a6f2a59,https://data.globalchange.gov/reference/be8cf058-1959-4c24-b7e6-d6c13a6f2a59,be8cf058-1959-4c24-b7e6-d6c13a6f2a59,,"McCabe, Gregory J.
Bunnell, Joseph E.",10.1089/1530366041210765,,1530-3667,2,"Vector-Borne and Zoonotic Diseases",,143-148,"Precipitation and the occurrence of Lyme disease in the northeastern United States",4,2004,0,"[""Ch. 16: Northeast FINAL""]",3981,be8cf058-1959-4c24-b7e6-d6c13a6f2a59,"Journal Article",/article/10.1089/1530366041210765
/reference/bec651f5-80e4-4c87-bf94-4cdd373b5a62,https://data.globalchange.gov/reference/bec651f5-80e4-4c87-bf94-4cdd373b5a62,bec651f5-80e4-4c87-bf94-4cdd373b5a62,,"Chateau-Degat, Marie-Ludivine; Chinain, Mireille; Cerf, Nicole; Gingras, Suzanne; Hubert, Bruno; Dewailly, Éric",10.1016/j.hal.2005.03.003,11//,1878-1470,6,"Harmful Algae","ARIMA model; Gambierdiscus spp.; Ciguatera; Forecasting; French Polynesia; Prevention tools",1053-1062,"Seawater temperature, Gambierdiscus spp. variability and incidence of ciguatera poisoning in French Polynesia",4,2005,0,,18415,bec651f5-80e4-4c87-bf94-4cdd373b5a62,"Journal Article",/article/10.1016/j.hal.2005.03.003
/reference/bed203be-a529-4cae-8cb6-5d15d517a0d2,https://data.globalchange.gov/reference/bed203be-a529-4cae-8cb6-5d15d517a0d2,bed203be-a529-4cae-8cb6-5d15d517a0d2,"Heterogeneity in host populations and communities can have large effects on the transmission and control of a pathogen. In extreme cases, a few individuals give rise to the majority of secondary infections, which have been termed super spreading events. Here, we show that transmission of West Nile virus (WNV) is dominated by extreme heterogeneity in the host community, resulting in highly inflated reproductive ratios. A single relatively uncommon avian species, American robin (Turdus migratorius), appeared to be responsible for the majority of WNV-infectious mosquitoes and acted as the species equivalent of a super spreader for this multi-host pathogen. Crows were also highly preferred by mosquitoes at some sites, while house sparrows were significantly avoided. Nonetheless, due to their relative rarity, corvids (crows and jays) were relatively unimportant in WNV amplification. These results challenge current beliefs about the role of certain avian species in WNV amplification and demonstrate the importance of determining contact rates between vectors and host species to understand pathogen transmission dynamics.","Kilpatrick, A. M.; Daszak, P.; Jones, M. J.; Marra, P. P.; Kramer, L. D.",10.1098/rspb.2006.3575,"Sep 22",1471-2954,1599,"Proceedings of the Royal Society B: Biological Sciences","Animals; Birds/*virology; Culicidae/*physiology/virology; Feeding Behavior/*physiology; West Nile Fever/*transmission; West Nile virus/isolation & purification",2327-2333,"Host heterogeneity dominates West Nile virus transmission",273,2006,0,,18007,bed203be-a529-4cae-8cb6-5d15d517a0d2,"Journal Article",/article/10.1098/rspb.2006.3575
/reference/bef7bfab-586e-4b45-91f1-6f42c1409075,https://data.globalchange.gov/reference/bef7bfab-586e-4b45-91f1-6f42c1409075,bef7bfab-586e-4b45-91f1-6f42c1409075,,"Garcia, Cynthia A.; Yap, Poh-Sin; Park, Hye-Youn; Weller, Barbara L.",10.1080/09603123.2015.1061113,,1369-1619,2,"International Journal of Environmental Health Research",,145-157,"Association of long-term PM2.5 exposure with mortality using different air pollution exposure models: Impacts in rural and urban California",26,2015,0,,19202,bef7bfab-586e-4b45-91f1-6f42c1409075,"Journal Article",/article/10.1080/09603123.2015.1061113
/reference/bf040614-daa5-4e4b-b4c6-3c05a49276be,https://data.globalchange.gov/reference/bf040614-daa5-4e4b-b4c6-3c05a49276be,bf040614-daa5-4e4b-b4c6-3c05a49276be,"Worldwide, anthropogenic climate change is now a reality and is already affecting the biology and ecology of some organisms, as well as several chemical pathways. Little is known about the consequences of climate change for the food system, particularly seafood, comprising all stages from ""farm to fork"" (mainly primary production, processing, transport and trading). In this context, the current review aims to elucidate climate change impacts on seafood safety and its human health implications. Both chemical and biological risks are foreseen to impair seafood safety in the future as a consequence of climate change; in particular, toxic metals, organic chemicals residues, algal toxins and pathogens of both humans and marine organisms. However, different species respond differently to such stresses. Public health authorities will face new challenges to guarantee seafood safety and to sustain consumers' confidence in eating seafood in a warmer world. (c) 2010 Elsevier Ltd. All rights reserved.","Marques, A.; Nunes, M. L.; Moore, S. K.; Strom, M. S.",10.1016/j.foodres.2010.02.010,Aug,1873-7145,7,"Food Research International","Climate change; Seafood; Harmful algal blooms; Pathogens; Trace metals; Organic chemicals; harmful algal blooms; mussel perna-viridis; invertebrates; corophium-volutator; vibrio-parahaemolyticus strains; gulf-of-mexico; mytilus-edulis; physiological-response; crassostrea-virginica; aquatic; invertebrates; embryonic-development",1766-1779,"Climate change and seafood safety: Human health implications",43,2010,0,,7486,bf040614-daa5-4e4b-b4c6-3c05a49276be,"Journal Article",/article/10.1016/j.foodres.2010.02.010
/reference/bf16e763-fb16-45db-bdb9-e533ccb2bdac,https://data.globalchange.gov/reference/bf16e763-fb16-45db-bdb9-e533ccb2bdac,bf16e763-fb16-45db-bdb9-e533ccb2bdac,,"Page, L.A.
Hajat, S.
Kovats, R.S.",10.1192/bjp.bp.106.031948,,0007-1250,2,"The British Journal of Psychiatry",,106-112,"Relationship between daily suicide counts and temperature in England and Wales",191,2007,0,"[""Ch. 9: Human Health FINAL""]",2401,bf16e763-fb16-45db-bdb9-e533ccb2bdac,"Journal Article",/article/10.1192/bjp.bp.106.031948
/reference/bf639de9-c45a-40d0-a115-5b1a5e45e5ee,https://data.globalchange.gov/reference/bf639de9-c45a-40d0-a115-5b1a5e45e5ee,bf639de9-c45a-40d0-a115-5b1a5e45e5ee,,"Youssouf, Hassani; Liousse, Catherine; Roblou, Laurent; Assamoi, Eric-Michel; Salonen, Raimo O.; Maesano, Cara; Banerjee, Soutrik; Annesi-Maesano, Isabella",10.3390/ijerph111111772,,1660-4601,11,"International Journal of Environmental Research and Public Health",,11772-11804,"Non-accidental health impacts of wildfire smoke",11,2014,0,Ch7,16350,bf639de9-c45a-40d0-a115-5b1a5e45e5ee,"Journal Article",/article/10.3390/ijerph111111772