uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,"attrs.Database Provider","attrs.EPub Date",attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Keywords,"attrs.Name of Database",attrs.Pages,attrs.Publisher,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/9262e94a-1bbc-4a1c-ad59-a907fa894576,https://data.globalchange.gov/reference/9262e94a-1bbc-4a1c-ad59-a907fa894576,9262e94a-1bbc-4a1c-ad59-a907fa894576,"Introduction In the foothills of the Cumberland Mountains, in central Appalachia (a region that spans 13 states in the US), sits an economically distressed and rural community of the United States. Once a thriving coal-mining area, this region now is reported as one of the hardest places to live in the US. Southeastern Kentucky, located in a remote, rocky, mountainous area surrounded by rivers and valleys and prone to flooding, experienced a major flood in Spring 2013 causing significant damage to homes and critical infrastructure. Purpose Aims of the study were to: (1) identify and better understand the contextual variables compounding the impact of a disaster event that occurred in Spring 2013; (2) identify ways participants managed antecedent circumstances, risk, and protective factors to cope with disaster up to 12 months post-event; and (3) further determine implications for community-focused interventions that may enhance recovery for vulnerable populations to promote greater outcomes of adaptation, wellness, and readiness. Methods Using an ethnographic mixed-methods approach, an inter-collaborative team conducted face-to-face interviews with (N=12) Appalachian residents about their disaster experience, documented observations and visual assessment of need on an observation tool, and used photography depicting structural and environmental conditions. A Health and Emergency Preparedness Assessment Survey Tool was used to collect demographic, health, housing, environment, and disaster readiness assessment data. Community stakeholders facilitated purposeful sampling through coordination of scheduled home visits. Results Triangulation of all data sources provided evidence that the community had unique coping strategies related to faith and spirituality, cultural values and heritage, and social support to manage antecedent circumstances, risk, and protective factors during times of adversity that, in turn, enhanced resilience up to 12 months post-disaster. The community was found to have an innate capacity to persevere and utilize resources to manage and transcend adversity and restore equilibrium, which reflected components of resilience that deserve greater recognition and appreciation. Conclusion Resilience is a foundational concept for disaster science. A model of resilience for the rural Appalachia community was developed to visually depict the encompassing element of community-based interventions that may enhance coping strategies, mitigate risk factors, integrate protective factors, and strengthen access. Community-based interventions are recommended to strengthen resilience, yielding improved outcomes of adaptation, health and wellness, and disaster readiness. Banks LH , Davenport LA , Hayes MH , McArthur MA , Toro SN , King CE , Vazirani HM . Disaster Impact on Impoverished Area of US: An Inter-Professional Mixed Method Study. Prehosp Disaster Med. 2016;31(6):583–592.","Banks, Linda H.; Davenport, Lisa A.; Hayes, Meghan H.; McArthur, Moriah A.; Toro, Stacey N.; King, Cameron E.; Vazirani, Hazel M.",10.1017/S1049023X1600090X,"Cambridge University Press",09/19,1049-023X,6,"Prehospital and Disaster Medicine","disaster; flooding; resilience; rural Appalachia; vulnerability","Cambridge Core",583-592,"Cambridge University Press","Disaster impact on impoverished area of US: An inter-professional mixed method study",31,2016,24143,9262e94a-1bbc-4a1c-ad59-a907fa894576,"Journal Article",/article/10.1017/S1049023X1600090X
/reference/92a32e2b-0b6f-448e-b387-a81fb75bbcd3,https://data.globalchange.gov/reference/92a32e2b-0b6f-448e-b387-a81fb75bbcd3,92a32e2b-0b6f-448e-b387-a81fb75bbcd3,,"Overstreet, Stacy; Salloum, Alison; Badour, Christal",10.1016/j.jsp.2010.06.002,,,0022-4405,5,"Journal of School Psychology","Disasters; Secondary stressors; PTSD; Adolescents",,413-431,,"A school-based assessment of secondary stressors and adolescent mental health 18 months post-Katrina",48,2010,24104,92a32e2b-0b6f-448e-b387-a81fb75bbcd3,"Journal Article",/article/10.1016/j.jsp.2010.06.002
/reference/93b59cc9-ade0-45fe-9f08-79b0c00da931,https://data.globalchange.gov/reference/93b59cc9-ade0-45fe-9f08-79b0c00da931,93b59cc9-ade0-45fe-9f08-79b0c00da931,"OBJECTIVES: Many public health adaptation strategies have been identified in response to climate change. This report reviews current literature on health co-benefits and risks of these strategies to gain a better understanding of how they may affect health. METHODS: A literature review was conducted electronically using English language literature from January 2000 to March 2012. Of 812 articles identified, 22 peer-reviewed articles that directly addressed health co-benefits or risks of adaptation were included in the review. RESULTS: The co-benefits and risks identified in the literature most commonly relate to improvements in health associated with adaptation actions that affect social capital and urban design. Health co-benefits of improvements in social capital have positive influences on mental health, independently of other determinants. Risks included reinforcing existing misconceptions regarding health. Health co-benefits of urban design strategies included reduced obesity, cardiovascular disease and improved mental health through increased physical activity, cooling spaces (e.g., shaded areas), and social connectivity. Risks included pollen allergies with increased urban green space, and adverse health effects from heat events through the use of air conditioning. CONCLUSIONS: Due to the current limited understanding of the full impacts of the wide range of existing climate change adaptation strategies, further research should focus on both unintended positive and negative consequences of public health adaptation.","Cheng, J. J.; Berry, P.",10.1007/s00038-012-0422-5,"CCII PubMed NLM",2012/11/01,"1661-8564 (Electronic)
1661-8556 (Linking)",2,"International Journal of Public Health","Adaptation, Physiological; Climate Change; Humans; Public Health; Risk Factors"," ",305-311,,"Health co-benefits and risks of public health adaptation strategies to climate change: A review of current literature",58,2013,4223,93b59cc9-ade0-45fe-9f08-79b0c00da931,"Journal Article",/article/10.1007/s00038-012-0422-5
/reference/9412b3d0-6f9c-4612-bca1-b6bf62f1746a,https://data.globalchange.gov/reference/9412b3d0-6f9c-4612-bca1-b6bf62f1746a,9412b3d0-6f9c-4612-bca1-b6bf62f1746a,,"Sheffield, Perry; Uijttewaal, Simone; Stewart, James; Galvez, Maida",10.3390/ijerph14111397,,,1660-4601,11,"International Journal of Environmental Research and Public Health",,,1397,,"Climate change and schools: Environmental hazards and resiliency",14,2017,26111,9412b3d0-6f9c-4612-bca1-b6bf62f1746a,"Journal Article",/article/10.3390/ijerph14111397
/reference/94b49b9c-97ea-4f0d-8f1a-53296c19afc7,https://data.globalchange.gov/reference/94b49b9c-97ea-4f0d-8f1a-53296c19afc7,94b49b9c-97ea-4f0d-8f1a-53296c19afc7,,"Yusa, Anna; Berry, Peter; J.Cheng, June; Ogden, Nicholas; Bonsal, Barrie; Stewart, Ronald; Waldick, Ruth",10.3390/ijerph120708359,,,1660-4601,7,"International Journal of Environmental Research and Public Health",,,8359,,"Climate change, drought and human health in Canada",12,2015,24091,94b49b9c-97ea-4f0d-8f1a-53296c19afc7,"Journal Article",/article/10.3390/ijerph120708359
/reference/98353f95-01ba-45b3-8194-77fd674d5faa,https://data.globalchange.gov/reference/98353f95-01ba-45b3-8194-77fd674d5faa,98353f95-01ba-45b3-8194-77fd674d5faa,"Determining the role of weather in waterborne infections is a priority public health research issue as climate change is predicted to increase the frequency of extreme precipitation and temperature events. To document the current knowledge on this topic, we performed a literature review of analytical research studies that have combined epidemiological and meteorological data in order to analyze associations between extreme precipitation or temperature and waterborne disease.","Guzman Herrador, Bernardo R.; de Blasio, Birgitte Freiesleben; MacDonald, Emily; Nichols, Gordon; Sudre, Bertrand; Vold, Line; Semenza, Jan C.; Nygård, Karin",10.1186/s12940-015-0014-y,,,1476-069X,1,"Environmental Health",,,29,,"Analytical studies assessing the association between extreme precipitation or temperature and drinking water-related waterborne infections: A review",14,2015,26105,98353f95-01ba-45b3-8194-77fd674d5faa,"Journal Article",/article/10.1186/s12940-015-0014-y
/reference/9a38e31c-84c2-454c-868c-0307853189ac,https://data.globalchange.gov/reference/9a38e31c-84c2-454c-868c-0307853189ac,9a38e31c-84c2-454c-868c-0307853189ac,,"Yun, Josef; Greiner, Matthias; Höller, Christiane; Messelhäusser, Ute; Rampp, Albert; Klein, Günter",10.1038/srep28442,,,,,"Scientific Reports",,,28442,"The Author(s)","Association between the ambient temperature and the occurrence of human Salmonella and Campylobacter infections",6,2016,25310,9a38e31c-84c2-454c-868c-0307853189ac,"Journal Article",/article/10.1038/srep28442
/reference/9ba7142c-520b-43fa-a8a1-76dc546eb883,https://data.globalchange.gov/reference/9ba7142c-520b-43fa-a8a1-76dc546eb883,9ba7142c-520b-43fa-a8a1-76dc546eb883,,"Young, Ian; Gropp, Kathleen; Fazil, Aamir; Smith, Ben A.",10.1016/j.foodres.2014.06.035,,,0963-9969,,"Food Research International","Systematic review; Meta-analysis; Climate change; Oysters; Food safety",,86-93,,"Knowledge synthesis to support risk assessment of climate change impacts on food and water safety: A case study of the effects of water temperature and salinity on Vibrio parahaemolyticus in raw oysters and harvest waters",68,2015,24092,9ba7142c-520b-43fa-a8a1-76dc546eb883,"Journal Article",/article/10.1016/j.foodres.2014.06.035
/reference/9dbe51b2-f829-4774-841f-9ff6a27f1ccb,https://data.globalchange.gov/reference/9dbe51b2-f829-4774-841f-9ff6a27f1ccb,9dbe51b2-f829-4774-841f-9ff6a27f1ccb,,"Battilani, P.; Toscano, P.; Van der Fels-Klerx, H. J.; Moretti, A.; Camardo Leggieri, M.; Brera, C.; Rortais, A.; Goumperis, T.; Robinson, T.",10.1038/srep24328,,,,,"Scientific Reports",,,24328,"The Author(s)","Aflatoxin B1 contamination in maize in Europe increases due to climate change",6,2016,24140,9dbe51b2-f829-4774-841f-9ff6a27f1ccb,"Journal Article",/article/10.1038/srep24328
/reference/9ef14c5c-9a31-498c-916c-c64bca251d0e,https://data.globalchange.gov/reference/9ef14c5c-9a31-498c-916c-c64bca251d0e,9ef14c5c-9a31-498c-916c-c64bca251d0e,"OBJECTIVES: We examined how individual and area socio-demographic characteristics independently modified the extreme heat (EH)-mortality association among elderly residents of 8 Michigan cities, May-September, 1990-2007. METHODS: In a time-stratified case-crossover design, we regressed cause-specific mortality against EH (indicator for 4-day mean, minimum, maximum or apparent temperature above 97th or 99th percentiles). We examined effect modification with interactions between EH and personal marital status, age, race, sex and education and ZIP-code percent “non-green space” (National Land Cover Dataset), age, race, income, education, living alone, and housing age (U.S. Census). RESULTS: In models including multiple effect modifiers, the odds of cardiovascular mortality during EH (99(th) percentile threshold) vs. non-EH were higher among non-married individuals (1.21, 95% CI = 1.14-1.28 vs. 0.98, 95% CI = 0.90-1.07 among married individuals) and individuals in ZIP codes with high (91%) non-green space (1.17, 95% CI = 1.06-1.29 vs. 0.98, 95% CI = 0.89-1.07 among individuals in ZIP codes with low (39%) non-green space). Results suggested that housing age may also be an effect modifier. For the EH-respiratory mortality association, the results were inconsistent between temperature metrics and percentile thresholds of EH but largely insignificant. CONCLUSIONS: Green space, housing and social isolation may independently enhance elderly peoples’ heat-related cardiovascular mortality vulnerability. Local adaptation efforts should target areas and populations at greater risk.","Gronlund, Carina J.; Berrocal, Veronica J.; White-Newsome, Jalonne L.; Conlon, Kathryn C.; O'Neill, Marie S.",10.1016/j.envres.2014.08.042,,,"0013-9351
1096-0953",,"Environmental Research",,PMC,449-461,,"Vulnerability to extreme heat by socio-demographic characteristics and area green space among the elderly in Michigan, 1990-2007",136,2015,21133,9ef14c5c-9a31-498c-916c-c64bca251d0e,"Journal Article",/article/10.1016/j.envres.2014.08.042
/reference/a3bb4918-0fe2-498b-858b-e001bdf0b98d,https://data.globalchange.gov/reference/a3bb4918-0fe2-498b-858b-e001bdf0b98d,a3bb4918-0fe2-498b-858b-e001bdf0b98d,"Author A combination of media attention and the declaration of a World Health Organization state of emergency have made the pandemic expansion of Zika virus a topic of great public concern. Understanding the threat North America faces from the still-expanding viral range requires an understanding of the historical range and ecology of the disease, a topic currently difficult to study due to incomplete occurrence data. We compile the most comprehensive geospatial dataset of Zika occurrences in its native range, beginning with its discovery in 1947, and build bioclimatic models that set an outer bound on where the virus is likely to persist. Our results suggest Zika is likely far more constrained than the closely-related dengue fever, on which many projections have been based. While Zika poses a serious threat in current outbreak regions and is clearly a high-priority neglected tropical disease, our models suggest that even under an extreme climate change scenario for 2050, the disease is unlikely to become cosmopolitan in most temperate regions as a vector-borne disease, a discrepant finding from the results of non-ensemble modeling methods. Despite that, sexual transmission remains a serious public health concern, and a route by which Zika could become a severe public health emergency in temperate zones, including in the United States.","Carlson, Colin J.; Dougherty, Eric R.; Getz, Wayne",10.1371/journal.pntd.0004968,,,,8,"PLOS Neglected Tropical Diseases",,,e0004968,"Public Library of Science","An ecological assessment of the pandemic threat of Zika virus",10,2016,24055,a3bb4918-0fe2-498b-858b-e001bdf0b98d,"Journal Article",/article/10.1371/journal.pntd.0004968
/reference/a3de6246-8f40-448e-91e8-0abe57e79d6e,https://data.globalchange.gov/reference/a3de6246-8f40-448e-91e8-0abe57e79d6e,a3de6246-8f40-448e-91e8-0abe57e79d6e,"Dengue has been prevalent in Colombia with high risk of outbreaks in various locations. While the prediction of dengue epidemics will bring significant benefits to the society, accurate forecasts have been a challenge. Given competing health demands in Colombia, it is critical to consider the effective use of the limited healthcare resources by identifying high risk areas for dengue fever.","Lee, Jung-Seok; Carabali, Mabel; Lim, Jacqueline K.; Herrera, Victor M.; Park, Il-Yeon; Villar, Luis; Farlow, Andrew",10.1186/s12879-017-2577-4,,,1471-2334,1,"BMC Infectious Diseases",,,480,,"Early warning signal for dengue outbreaks and identification of high risk areas for dengue fever in Colombia using climate and non-climate datasets",17,2017,24070,a3de6246-8f40-448e-91e8-0abe57e79d6e,"Journal Article",/article/10.1186/s12879-017-2577-4
/reference/a5d430bc-5756-42d1-924f-3dbc927e69c4,https://data.globalchange.gov/reference/a5d430bc-5756-42d1-924f-3dbc927e69c4,a5d430bc-5756-42d1-924f-3dbc927e69c4,"Previous studies examining future changes in heat/cold waves using climate model ensembles have been limited to grid cell-average quantities. Here, we make use of an urban parameterization in the Community Earth System Model (CESM) that represents the urban heat island effect, which can exacerbate extreme heat but may ameliorate extreme cold in urban relative to rural areas. Heat/cold wave characteristics are derived for U.S. regions from a bias-corrected CESM 30-member ensemble for climate outcomes driven by the RCP8.5 forcing scenario and a 15-member ensemble driven by RCP4.5. Significant differences are found between urban and grid cell-average heat/cold wave characteristics. Most notably, urban heat waves for 1981–2005 are more intense than grid cell-average by 2.1 °C (southeast) to 4.6 °C (southwest), while cold waves are less intense. We assess the avoided climate impacts of urban heat/cold waves in 2061–2080 when following the lower forcing scenario. Urban heat wave days per year increase from 6 in 1981–2005 to up to 92 (southeast) in RCP8.5. Following RCP4.5 reduces heat wave days by about 50 %. Large avoided impacts are demonstrated for individual communities; e.g., the longest heat wave for Houston in RCP4.5 is 38 days while in RCP8.5 there is one heat wave per year that is longer than a month with some lasting the entire summer. Heat waves also start later in the season in RCP4.5 (earliest are in early May) than RCP8.5 (mid-April), compared to 1981–2005 (late May). In some communities, cold wave events decrease from 2 per year for 1981–2005 to one-in-five year events in RCP4.5 and one-in-ten year events in RCP8.5.","Oleson, K. W.; Anderson, G. B.; Jones, B.; McGinnis, S. A.; Sanderson, B.",10.1007/s10584-015-1504-1,,,1573-1480,,"Climatic Change",,,,,"Avoided climate impacts of urban and rural heat and cold waves over the U.S. using large climate model ensembles for RCP8.5 and RCP4.5",,2015,23564,a5d430bc-5756-42d1-924f-3dbc927e69c4,"Journal Article",/article/10.1007/s10584-015-1504-1
/reference/a67f6a58-73d3-49be-b161-1e4f4aab248e,https://data.globalchange.gov/reference/a67f6a58-73d3-49be-b161-1e4f4aab248e,a67f6a58-73d3-49be-b161-1e4f4aab248e,"This study assessed the health burden attributable to childhood underweight through 2050 focusing on disability-adjusted life years (DALYs), by considering the latest scenarios for climate change studies (representative concentration pathways and shared socioeconomic pathways (SSPs)) and conducting sensitivity analysis. A regression model for estimating DALYs attributable to childhood underweight (DAtU) was developed using the relationship between DAtU and childhood stunting. We combined a global computable general equilibrium model, a crop model, and two regression models to assess the future health burden. We found that (i) world total DAtU decreases from 2005 by 28 ∼ 63% in 2050 depending on the socioeconomic scenarios. Per capita DAtU also decreases in all regions under either scenario in 2050, but the decreases vary significantly by regions and scenarios. (ii) The impact of climate change is relatively small in the framework of this study but, on the other hand, socioeconomic conditions have a great impact on the future health burden. (iii) Parameter uncertainty of the regression models is the second largest factor on uncertainty of the result following the changes in socioeconomic condition, and uncertainty derived from the difference in global circulation models is the smallest in the framework of this study.","Ishida, Hiroyuki; Shota Kobayashi; Shinjiro Kanae; Tomoko Hasegawa; Shinichiro Fujimori; Yonghee Shin; Kiyoshi Takahashi; Toshihiko Masui; Akemi Tanaka; Yasushi Honda",10.1088/1748-9326/9/6/064014,,,1748-9326,6,"Environmental Research Letters",,,064014,,"Global-scale projection and its sensitivity analysis of the health burden attributable to childhood undernutrition under the latest scenario framework for climate change research",9,2014,25324,a67f6a58-73d3-49be-b161-1e4f4aab248e,"Journal Article",/article/10.1088/1748-9326/9/6/064014
/reference/a6d2d472-b084-4805-9f08-cc5e1f95f668,https://data.globalchange.gov/reference/a6d2d472-b084-4805-9f08-cc5e1f95f668,a6d2d472-b084-4805-9f08-cc5e1f95f668,,"Anderson, Henry; Brown, Claudia; Cameron, Lorraine L.; Christenson, Megan; Conlon, Kathryn C.; Dorevitch, Samuel; Dumas, Justin; Eidson, Millicent; Ferguson, Aaron; Grossman, Elena; Hanson, Angelina; Hess, Jeremy J.; Hoppe, Brenda; Horton, Jane; Jagger, Meredith; Krueger, Stephanie; Largo, Thomas W.; Losurdo, Giovanna M.; Mack, Stephanie R.; Moran, Colleen; Mutnansky, Cassidy; Raab, Kristin; Saha, Shubhayu; Schramm, Paul J.; Shipp-Hilts, Asante; Smith, Sara J.; Thelen, Margaret; Thie, Lauren; Walker, Robert",,,,,,,,,92,,"Climate and Health Intervention Assessment: Evidence on Public Health Interventions to Prevent the Negative Health Effects of Climate Change",,2017,24146,a6d2d472-b084-4805-9f08-cc5e1f95f668,Report,/report/climate-health-intervention-assessment-evidence-on-public-health-interventions-prevent-negative-health-effects-climate-change
/reference/a719e703-0c8d-4b9a-9b2b-baf66da770f7,https://data.globalchange.gov/reference/a719e703-0c8d-4b9a-9b2b-baf66da770f7,a719e703-0c8d-4b9a-9b2b-baf66da770f7,,"Semenza, Jan",10.3390/ijerph120606333,,,1660-4601,6,"International Journal of Environmental Research and Public Health",,,6333-6351,,"Prototype early warning systems for vector-borne diseases in Europe",12,2015,24081,a719e703-0c8d-4b9a-9b2b-baf66da770f7,"Journal Article",/article/10.3390/ijerph120606333
/reference/aa10dde0-072c-459a-ab20-65ba830d43bd,https://data.globalchange.gov/reference/aa10dde0-072c-459a-ab20-65ba830d43bd,aa10dde0-072c-459a-ab20-65ba830d43bd,"Importance  Heat exposure is known to have a complex set of physiological effects on multiple organ systems, but current understanding of the health effects is mostly based on studies investigating a small number of prespecified health outcomes such as cardiovascular and respiratory diseases.Objectives  To identify possible causes of hospital admissions during extreme heat events and to estimate their risks using historical data.Design, Setting, and Population  Matched analysis of time series data describing daily hospital admissions of Medicare enrollees (23.7 million fee-for-service beneficiaries [aged ≥65 years] per year; 85% of all Medicare enrollees) for the period 1999 to 2010 in 1943 counties in the United States with at least 5 summers of near-complete (>95%) daily temperature data.Exposures  Heat wave periods, defined as 2 or more consecutive days with temperatures exceeding the 99th percentile of county-specific daily temperatures, matched to non–heat wave periods by county and week.Main Outcomes and Measures  Daily cause-specific hospitalization rates by principal discharge diagnosis codes, grouped into 283 disease categories using a validated approach.Results  Risks of hospitalization for fluid and electrolyte disorders, renal failure, urinary tract infection, septicemia, and heat stroke were statistically significantly higher on heat wave days relative to matched non–heat wave days, but risk of hospitalization for congestive heart failure was lower (P < .05). Relative risks for these disease groups were 1.18 (95% CI, 1.12-1.25) for fluid and electrolyte disorders, 1.14 (95% CI, 1.06-1.23) for renal failure, 1.10 (95% CI, 1.04-1.16) for urinary tract infections, 1.06 (95% CI, 1.00-1.11) for septicemia, and 2.54 (95% CI, 2.14-3.01) for heat stroke. Absolute risk differences were 0.34 (95% CI, 0.22-0.46) excess admissions per 100 000 individuals at risk for fluid and electrolyte disorders, 0.25 (95% CI, 0.12-0.39) for renal failure, 0.24 (95% CI, 0.09-0.39) for urinary tract infections, 0.21 (95% CI, 0.01-0.41) for septicemia, and 0.16 (95% CI, 0.10-0.22) for heat stroke. For fluid and electrolyte disorders and heat stroke, the risk of hospitalization increased during more intense and longer-lasting heat wave periods (P < .05). Risks were generally highest on the heat wave day but remained elevated for up to 5 subsequent days.Conclusions and Relevance  Among older adults, periods of extreme heat were associated with increased risk of hospitalization for fluid and electrolyte disorders, renal failure, urinary tract infection, septicemia, and heat stroke. However, the absolute risk increase was small and of uncertain clinical importance.","Bobb, J. F.; Obermeyer, Z.; Wang, Y.; Dominici, F.",10.1001/jama.2014.15715,,,0098-7484,24,JAMA,,,2659-2667,,"Cause-specific risk of hospital admission related to extreme heat in older adults",312,2014,21856,aa10dde0-072c-459a-ab20-65ba830d43bd,"Journal Article",/article/10.1001/jama.2014.15715
/reference/acc94ddf-05f0-4e5b-9ef8-47ef05db2e64,https://data.globalchange.gov/reference/acc94ddf-05f0-4e5b-9ef8-47ef05db2e64,acc94ddf-05f0-4e5b-9ef8-47ef05db2e64,"Modelling studies predicted that climate change will have strong impacts on the coffee crop, although no information on the effective impact of elevated CO2 on this plant exists. Here, we aim at providing a first glimpse on the effect of the combined impact of enhanced [CO2] and high temperature on the leaf mineral content and balance on this important tropical crop. Potted plants from two genotypes of Coffea arabica (cv. Icatu and IPR 108) and one from C. canephora (cv. Conilon Clone 153) were grown under 380 or 700 μL CO2 L−1 air, for 1 year, after which were exposed to an stepwise increase in temperature from 25/20 °C (day/night) up to 42/34 °C, over 8 weeks. Leaf macro − (N, P, K, Ca, Mg, S) and micronutrients (B, Cu, Fe, Mn, Zn) concentrations were analyzed at 25/20 °C (control), 31/25 °C, 37/30 °C and 42/34 °C. At the control temperature, the 700 μL L−1 grown plants showed a moderate dilution effect (between 7 % and 25 %) in CL 153 (for N, Mg, Ca, Fe) and Icatu (for N, K and Fe), but not in IPR 108 (except for Fe) when compared to the 380 μL L−1 plants. For temperatures higher than control most nutrients tended to increase, frequently presenting maximal contents at 42/34 °C (or 37/30 °C), although the relation between [CO2] treatments did not appreciably change. Such increases offset the few dilution effects observed under high growth [CO2] at 25/20 °C. No clear species responses were found considering [CO2] and temperature impacts, although IPR 108 seemed less sensitive to [CO2]. Despite the changes promoted by [CO2] and heat, the large majority of mineral ratios were kept within a range considered adequate, suggesting that this plant can maintain mineral balances in a context of climate changes and global warming.","Martins, Lima D.; Tomaz, Marcelo A.; Lidon, Fernando C.; DaMatta, Fábio M.; Ramalho, José C.",10.1007/s10584-014-1236-7,,,1573-1480,3,"Climatic Change",,,365-379,,"Combined effects of elevated [CO2] and high temperature on leaf mineral balance in Coffea spp. plants",126,2014,24112,acc94ddf-05f0-4e5b-9ef8-47ef05db2e64,"Journal Article",/article/10.1007/s10584-014-1236-7
/reference/b079422e-dafb-4221-83be-0b6a176acbb6,https://data.globalchange.gov/reference/b079422e-dafb-4221-83be-0b6a176acbb6,b079422e-dafb-4221-83be-0b6a176acbb6,,"Gutierrez, Kristie; LePrevost, Catherine",10.3390/ijerph13020189,,,1660-4601,2,"International Journal of Environmental Research and Public Health",,,189,,"Climate justice in rural southeastern United States: A review of climate change impacts and effects on human health",13,2016,25327,b079422e-dafb-4221-83be-0b6a176acbb6,"Journal Article",/article/10.3390/ijerph13020189
/reference/b151fd56-2d07-47fb-88df-173212cd5059,https://data.globalchange.gov/reference/b151fd56-2d07-47fb-88df-173212cd5059,b151fd56-2d07-47fb-88df-173212cd5059,"Heat stroke is a serious heat-related illness, especially among older adults. However, little is known regarding the spatiotemporal variation of heat stroke admissions during heat waves and what factors modify the adverse effects.","Wang, Yan; Bobb, Jennifer F.; Papi, Bianca; Wang, Yun; Kosheleva, Anna; Di, Qian; Schwartz, Joel D.; Dominici, Francesca",10.1186/s12940-016-0167-3,,,1476-069X,1,"Environmental Health",,,83,,"Heat stroke admissions during heat waves in 1,916 US counties for the period from 1999 to 2010 and their effect modifiers",15,2016,24095,b151fd56-2d07-47fb-88df-173212cd5059,"Journal Article",/article/10.1186/s12940-016-0167-3
/reference/b4d1a19f-d19a-4a91-99f9-c1680ef0a4ad,https://data.globalchange.gov/reference/b4d1a19f-d19a-4a91-99f9-c1680ef0a4ad,b4d1a19f-d19a-4a91-99f9-c1680ef0a4ad,,"Coopersmith, E. J.; Bell, J. E.; Benedict, K.; Shriber, J.; McCotter, O.; Cosh, M. H.",10.1002/2016GH000033,,,2471-1403,1,GeoHealth,"coccidioidomycosis; valley fever; soil moisture; machine learning; modeling; 1719 Hydrology; 1866 Soil moisture; 1894 Instruments and techniques: modeling; 1984 Statistical methods: Descriptive; 1914 Data mining",,51-63,,"Relating coccidioidomycosis (valley fever) incidence to soil moisture conditions",1,2017,24132,b4d1a19f-d19a-4a91-99f9-c1680ef0a4ad,"Journal Article",/article/10.1002/2016GH000033
/reference/b77ebe86-7dac-4303-bee3-52e81a34b5ca,https://data.globalchange.gov/reference/b77ebe86-7dac-4303-bee3-52e81a34b5ca,b77ebe86-7dac-4303-bee3-52e81a34b5ca,,"Mills, David; Russell Jones; Cameron Wobus; Julia Ekstrom; Lesley Jantarasami; St. Juliana, Alexis; Allison Crimmins",10.1289/EHP2594,,,,4,"Environmental Health Perspectives",,,047007,,"Projecting age-stratified risk of exposure to inland flooding and wildfire smoke in the United States under two climate scenarios",126,2018,25202,b77ebe86-7dac-4303-bee3-52e81a34b5ca,"Journal Article",/article/10.1289/EHP2594
/reference/b89b43e0-28a8-4b9d-9139-02f1b3f96533,https://data.globalchange.gov/reference/b89b43e0-28a8-4b9d-9139-02f1b3f96533,b89b43e0-28a8-4b9d-9139-02f1b3f96533,"Given knowledge at the time, the recent 2015-2016 zika virus (ZIKV) epidemic probably could not have been predicted. Without the prior knowledge of ZIKV being already present in South America, and given the lack of understanding of key epidemiologic processes and long-term records of ZIKV cases in the continent, the best related prediction could be carried out for the potential risk of a generic Aedes-borne disease epidemic. Here we use a recently published two-vector basic reproduction number model to assess the predictability of the conditions conducive to epidemics of diseases like zika, chikungunya or dengue, transmitted by the independent or concurrent presence of Aedes aegypti and Aedes albopictus. We compare the potential risk of transmission forcing the model with the observed climate and with state-of-the-art operational forecasts from the North American Multi Model Ensemble (NMME), finding that the predictive skill of this new seasonal forecast system is highest for multiple countries in Latin America and the Caribbean during the December-February and March-May seasons, and slightly lower –but still of potential use to decision-makers– for the rest of the year. In particular, we find that above-normal suitable conditions for the occurrence of the zika epidemic at the beginning of 2015 could have been successfully predicted at least one month in advance for several zika hotspots, and in particular for Northeast Brazil: the heart of the epidemic. Nonetheless, the initiation and spread of an epidemic depends on the effect of multiple factors beyond climate conditions, and thus this type of approach must be considered as a guide and not as a formal predictive tool of vector-borne epidemics.","Muñoz, Ángel G.; Thomson, Madeleine C.; Stewart-Ibarra, Anna M.; Vecchi, Gabriel A.; Chourio, Xandre; Nájera, Patricia; Moran, Zelda; Yang, Xiaosong",10.3389/fmicb.2017.01291,,,1664-302X,1291,"Frontiers in Microbiology","Zika,Aedes-borne diseases,predictability,climate,basic reproduction number model,Dengue,Chikungunya",,,,"Could the recent Zika epidemic have been predicted?",8,2017,22060,b89b43e0-28a8-4b9d-9139-02f1b3f96533,"Journal Article",/article/10.3389/fmicb.2017.01291
/reference/b9638744-8ff8-41bd-a741-27b2fda9face,https://data.globalchange.gov/reference/b9638744-8ff8-41bd-a741-27b2fda9face,b9638744-8ff8-41bd-a741-27b2fda9face,,"Mendez, Michael Anthony",10.1080/13549839.2015.1038227,,,1354-9839,6,"Local Environment",,,637-663,Routledge,"Assessing local climate action plans for public health co-benefits in environmental justice communities",20,2015,24109,b9638744-8ff8-41bd-a741-27b2fda9face,"Journal Article",/article/10.1080/13549839.2015.1038227