uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.Issue,attrs.Journal,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/ba80e684-08bc-4d0a-ae42-ce0f0975b24e,https://data.globalchange.gov/reference/ba80e684-08bc-4d0a-ae42-ce0f0975b24e,ba80e684-08bc-4d0a-ae42-ce0f0975b24e,"Zika, a mosquito-borne viral disease that emerged in South America in 2015, was declared a Public Health Emergency of International Concern by the WHO in February of 2016. We developed a climate-driven R0 mathematical model for the transmission risk of Zika virus (ZIKV) that explicitly includes two key mosquito vector species: Aedes aegypti and Aedes albopictus. The model was parameterized and calibrated using the most up to date information from the available literature. It was then driven by observed gridded temperature and rainfall datasets for the period 1950–2015. We find that the transmission risk in South America in 2015 was the highest since 1950. This maximum is related to favoring temperature conditions that caused the simulated biting rates to be largest and mosquito mortality rates and extrinsic incubation periods to be smallest in 2015. This event followed the suspected introduction of ZIKV in Brazil in 2013. The ZIKV outbreak in Latin America has very likely been fueled by the 2015–2016 El Niño climate phenomenon affecting the region. The highest transmission risk globally is in South America and tropical countries where Ae. aegypti is abundant. Transmission risk is strongly seasonal in temperate regions where Ae. albopictus is present, with significant risk of ZIKV transmission in the southeastern states of the United States, in southern China, and to a lesser extent, over southern Europe during the boreal summer season.","Caminade, Cyril; Turner, Joanne; Metelmann, Soeren; Hesson, Jenny C.; Blagrove, Marcus S. C.; Solomon, Tom; Morse, Andrew P.; Baylis, Matthew",10.1073/pnas.1614303114,"January 3, 2017",1,"Proceedings of the National Academy of Sciences of the United States of America",119-124,"Global risk model for vector-borne transmission of Zika virus reveals the role of El Niño 2015",114,2017,24135,ba80e684-08bc-4d0a-ae42-ce0f0975b24e,"Journal Article",/article/10.1073/pnas.1614303114
/reference/bb6cb91e-fd58-4222-8d22-023901f265eb,https://data.globalchange.gov/reference/bb6cb91e-fd58-4222-8d22-023901f265eb,bb6cb91e-fd58-4222-8d22-023901f265eb,,"Klein Rosenthal, Joyce; Kinney, Patrick L.; Metzger, Kristina B.",10.1016/j.healthplace.2014.07.014,2014/11/01/,,"Health & Place",45-60,"Intra-urban vulnerability to heat-related mortality in New York City, 1997–2006",30,2014,24118,bb6cb91e-fd58-4222-8d22-023901f265eb,"Journal Article",/article/10.1016/j.healthplace.2014.07.014
/reference/bbb07cf9-3d20-441b-8d01-8371f67f27d0,https://data.globalchange.gov/reference/bbb07cf9-3d20-441b-8d01-8371f67f27d0,bbb07cf9-3d20-441b-8d01-8371f67f27d0,"This report summarizes and discusses current knowledge on the impact that climate change can have on occupational safety and health (OSH), with a particular focus on the Americas. Worker safety and health issues are presented on topics related to specific stressors (e.g., temperature extremes), climate associated impacts (e.g., ice melt in the Arctic), and a health condition associated with climate change (chronic kidney disease of non-traditional etiology). The article discusses research needs, including hazards, surveillance, and risk assessment activities to better characterize and understand how OSH may be associated with climate change events. Also discussed are the actions that OSH professionals can take to ensure worker health and safety in the face of climate change.","Kiefer, Max; Rodríguez-Guzmán, Julietta; Watson, Joanna; van Wendel de Joode, Berna; Mergler, Donna; da Silva, Agnes Soares",,,3,"Revista panamericana de salud publica = Pan American Journal of Public Health",192-197,"Worker health and safety and climate change in the Americas: Issues and research needs",40,2016,25320,bbb07cf9-3d20-441b-8d01-8371f67f27d0,"Journal Article",/article/pmid-27991978
/reference/bbca6337-718b-4289-b6e7-0a2f6c1cb8f1,https://data.globalchange.gov/reference/bbca6337-718b-4289-b6e7-0a2f6c1cb8f1,bbca6337-718b-4289-b6e7-0a2f6c1cb8f1,,"Houser, Trevor; Kopp, Robert; Hsiang, Solomon; Michael Delgado; Amir Jina; Kate Larsen; Michael Mastrandrea; Shashank Mohan; Robert Muir-Wood; DJ Rasmussen; James Rising; Paul Wilson",,,,,201,"American Climate Prospectus: Economic Risks in the United States",,2014,21430,bbca6337-718b-4289-b6e7-0a2f6c1cb8f1,Report,/report/american-climate-prospectus-economic-risks-united-states
/reference/bc677c60-b904-4fd5-9f2b-981e36b3e0ac,https://data.globalchange.gov/reference/bc677c60-b904-4fd5-9f2b-981e36b3e0ac,bc677c60-b904-4fd5-9f2b-981e36b3e0ac,,"Ross, Michelle E.; Vicedo-Cabrera, Ana M.; Kopp, Robert E.; Song, Lihai; Goldfarb, David S.; Pulido, Jose; Warner, Steven; Furth, Susan L.; Tasian, Gregory E.",10.1016/j.envres.2017.12.020,2018/04/01/,,"Environmental Research",97-105,"Assessment of the combination of temperature and relative humidity on kidney stone presentations",162,2018,25314,bc677c60-b904-4fd5-9f2b-981e36b3e0ac,"Journal Article",/article/10.1016/j.envres.2017.12.020
/reference/bcbd5def-bcf4-454a-b744-ff131acdbf39,https://data.globalchange.gov/reference/bcbd5def-bcf4-454a-b744-ff131acdbf39,bcbd5def-bcf4-454a-b744-ff131acdbf39,,"Soneja, Sutyajeet; Jiang, Chengsheng; Romeo Upperman, Crystal; Murtugudde, Raghu; S. Mitchell, Clifford; Blythe, David; Sapkota, Amy R.; Sapkota, Amir",10.1016/j.envres.2016.05.021,2016/08/01/,,"Environmental Research",216-221,"Extreme precipitation events and increased risk of campylobacteriosis in Maryland, U.S.A",149,2016,21707,bcbd5def-bcf4-454a-b744-ff131acdbf39,"Journal Article",/article/10.1016/j.envres.2016.05.021
/reference/bf23355b-aa5e-48f6-916a-d2d32e46fe2b,https://data.globalchange.gov/reference/bf23355b-aa5e-48f6-916a-d2d32e46fe2b,bf23355b-aa5e-48f6-916a-d2d32e46fe2b,,"Doppelt, Bob",,,,,,"Transformational Resilience: How Building Human Resilience to Climate Disruption Can Safeguard Society and Increase Wellbeing",,2016,24130,bf23355b-aa5e-48f6-916a-d2d32e46fe2b,Book,/book/transformational-resilience-how-building-human-resilience-climate-disruption-can-safeguard-society-increase-wellbeing
/reference/bf93d053-588d-4611-a824-94f52018ef18,https://data.globalchange.gov/reference/bf93d053-588d-4611-a824-94f52018ef18,bf93d053-588d-4611-a824-94f52018ef18,,"Springmann, Marco; Mason-D'Croz, Daniel; Robinson, Sherman; Garnett, Tara; Godfray, H. Charles J.; Gollin, Douglas; Rayner, Mike; Ballon, Paola; Scarborough, Peter",10.1016/S0140-6736(15)01156-3,2016/05/07/,10031,"The Lancet",1937-1946,"Global and regional health effects of future food production under climate change: A modelling study",387,2016,25312,bf93d053-588d-4611-a824-94f52018ef18,"Journal Article",/article/10.1016/S0140-6736(15)01156-3
/reference/c11491c3-1997-4aff-aecc-fdc3f6bbd58a,https://data.globalchange.gov/reference/c11491c3-1997-4aff-aecc-fdc3f6bbd58a,c11491c3-1997-4aff-aecc-fdc3f6bbd58a,"The unabated rise in anthropogenic CO₂ emissions is predicted to strongly influence the ocean’s environment, increasing the mean sea-surface temperature by 4°C and causing a pH decline of 0.3 units by the year 2100. These changes are likely to affect the nutritional value of marine food sources since temperature and CO₂ can influence the fatty (FA) and amino acid (AA) composition of marine primary producers. Here, essential amino (EA) and polyunsaturated fatty (PUFA) acids are of particular importance due to their nutritional value to higher trophic levels. In order to determine the interactive effects of CO₂ and temperature on the nutritional quality of a primary producer, we analyzed the relative PUFA and EA composition of the diatom Cylindrotheca fusiformis cultured under a factorial matrix of 2 temperatures (14 and 19°C) and 3 partial pressures of CO₂ (180, 380, 750 μatm) for >250 generations. Our results show a decay of ~3% and ~6% in PUFA and EA content in algae kept at a pCO₂ of 750 μatm (high) compared to the 380 μatm (intermediate) CO₂ treatments at 14°C. Cultures kept at 19°C displayed a ~3% lower PUFA content under high compared to intermediate pCO₂, while EA did not show differences between treatments. Algae grown at a pCO₂ of 180 μatm (low) had a lower PUFA and AA content in relation to those at intermediate and high CO₂ levels at 14°C, but there were no differences in EA at 19°C for any CO₂ treatment. This study is the first to report adverse effects of warming and acidification on the EA of a primary producer, and corroborates previous observations of negative effects of these stressors on PUFA. Considering that only ~20% of essential biomolecules such as PUFA (and possibly EA) are incorporated into new biomass at the next trophic level, the potential impacts of adverse effects of ocean warming and acidification at the base of the food web may be amplified towards higher trophic levels, which rely on them as source of essential biomolecules.","Bermúdez, Rafael; Feng, Yuanyuan; Roleda, Michael Y.; Tatters, Avery O.; Hutchins, David A.; Larsen, Thomas; Boyd, Philip W.; Hurd, Catriona L.; Riebesell, Ulf; Winder, Monika",10.1371/journal.pone.0123945,,5,"PLOS ONE",e0123945,"Long-term conditioning to elevated pCO2 and warming influences the fatty and amino acid composition of the diatom Cylindrotheca fusiformis",10,2015,24137,c11491c3-1997-4aff-aecc-fdc3f6bbd58a,"Journal Article",/article/10.1371/journal.pone.0123945
/reference/c2022b30-10b5-40f8-b14b-82c43209dd3d,https://data.globalchange.gov/reference/c2022b30-10b5-40f8-b14b-82c43209dd3d,c2022b30-10b5-40f8-b14b-82c43209dd3d,,"Choudhary, Ekta; Vaidyanathan, Ambarish",,,13,"MMWR Surveillance Summaries",1-10,"Heat stress illness hospitalizations—Environmental public health tracking program, 20 States, 2001-2010.",63,2014,23742,c2022b30-10b5-40f8-b14b-82c43209dd3d,"Journal Article",/article/heat-stress-illness-hospitalizationsenvironmental-public-health-tracking-program-20-states-2001-2010
/reference/c2e222fc-c5e0-4e34-8f28-ab1fad575053,https://data.globalchange.gov/reference/c2e222fc-c5e0-4e34-8f28-ab1fad575053,c2e222fc-c5e0-4e34-8f28-ab1fad575053,,"Berman, Jesse D.; Ebisu, Keita; Peng, Roger D.; Dominici, Francesca; Bell, Michelle L.",10.1016/S2542-5196(17)30002-5,2017/04/01/,1,"The Lancet Planetary Health",e17-e25,"Drought and the risk of hospital admissions and mortality in older adults in western USA from 2000 to 2013: A retrospective study	",1,2017,21858,c2e222fc-c5e0-4e34-8f28-ab1fad575053,"Journal Article",/article/10.1016/S2542-5196(17)30002-5
/reference/c6947fa0-0aa6-43c4-bd6c-3af95cc1dd03,https://data.globalchange.gov/reference/c6947fa0-0aa6-43c4-bd6c-3af95cc1dd03,c6947fa0-0aa6-43c4-bd6c-3af95cc1dd03,,"Munro, Alice; Kovats, R. Sari; Rubin, G. James; Waite, Thomas David; Bone, Angie; Armstrong, Ben",10.1016/S2542-5196(17)30047-5,2017/07/01/,4,"The Lancet Planetary Health",e134-e141,"Effect of evacuation and displacement on the association between flooding and mental health outcomes: A cross-sectional analysis of UK survey data",1,2017,25337,c6947fa0-0aa6-43c4-bd6c-3af95cc1dd03,"Journal Article",/article/10.1016/S2542-5196(17)30047-5
/reference/c76d7935-9da3-4c4b-9186-86dc658bcc74,https://data.globalchange.gov/reference/c76d7935-9da3-4c4b-9186-86dc658bcc74,c76d7935-9da3-4c4b-9186-86dc658bcc74,,"Gamble, Janet L.; Balbus, John; Berger, Martha; Bouye, Karen; Campbell, Vince; Chief, Karletta; Conlon, Kathryn; Crimmins, Allison; Flanagan, Barry; Gonzalez-Maddux, Cristina; Hallisey, Elaine; Hutchins, Sonja; Jantarasami, Lesley; Khoury, Samar; Kiefer, Max; Kolling, Jessica; Lynn, Kathy; Manangan, Arie; McDonald, Marian; Morello-Frosch, Rachel; Redsteer, Margaret Hiza; Sheffield, Perry; Thigpen Tart, Kimberly; Watson, Joanna; Whyte, Kyle Powys; Wolkin, Amy Funk",10.7930/J0Q81B0T,,,,"247–286","Ch. 9: Populations of concern",,2016,19381,c76d7935-9da3-4c4b-9186-86dc658bcc74,"Book Section",/report/usgcrp-climate-human-health-assessment-2016/chapter/populations-of-concern
/reference/c93425cc-9026-4a9d-abde-cb2d73327a71,https://data.globalchange.gov/reference/c93425cc-9026-4a9d-abde-cb2d73327a71,c93425cc-9026-4a9d-abde-cb2d73327a71,"While the impacts of heat upon mortality and morbidity have been frequently studied, few studies have examined the relationship between heat, morbidity, and mortality across the same events. This research assesses the relationship between heat events and morbidity and mortality in New York City for the period 1991–2004. Heat events are defined based on oppressive weather types as determined by the Spatial Synoptic Classification. Morbidity data include hospitalizations for heat-related, respiratory, and cardiovascular causes; mortality data include these subsets as well as all-cause totals. Distributed-lag models assess the relationship between heat and health outcome for a cumulative 15-day period following exposure. To further refine analysis, subset analyses assess the differences between early- and late-season events, shorter and longer events, and earlier and later years. The strongest heat–health relationships occur with all-cause mortality, cardiovascular mortality, and heat-related hospital admissions. The impacts of heat are greater during longer heat events and during the middle of summer, when increased mortality is still statistically significant after accounting for mortality displacement. Early-season heat waves have increases in mortality that appear to be largely short-term displacement. The impacts of heat on mortality have decreased over time. Heat-related hospital admissions have increased during this time, especially during the earlier days of heat events. Given the trends observed, it suggests that a greater awareness of heat hazards may have led to increased short-term hospitalizations with a commensurate decrease in mortality.","Sheridan, Scott C.; Lin, Shao",10.1007/s10393-014-0970-7,"December 01",4,EcoHealth,512-525,"Assessing variability in the impacts of heat on health outcomes in New York City over time, season, and heat-wave duration",11,2014,23854,c93425cc-9026-4a9d-abde-cb2d73327a71,"Journal Article",/article/10.1007/s10393-014-0970-7
/reference/cab3885c-a808-40f4-9b4a-79808bbdf202,https://data.globalchange.gov/reference/cab3885c-a808-40f4-9b4a-79808bbdf202,cab3885c-a808-40f4-9b4a-79808bbdf202,"Global warming is leading to increased frequency and severity of storms that are associated with flooding, increasing the risk to urban, coastal populations. This study examined perceptions of the relationship between severe storms, sea level rise, climate change and ecological barriers by a vulnerable environmental justice population in New Jersey. Patients using New Jersey’s Federally Qualified Health Centers were interviewed after Hurricane [Superstorm] Sandy because it is essential to understand the perceptions of uninsured, underinsured, and economically challenged people to better develop a resiliency strategy for the most vulnerable people. Patients (N = 355) using 6 centers were interviewed using a structured interview form. Patients were interviewed in the order they entered the reception area, in either English or Spanish. Respondents were asked to rate their agreement with environmental statements. Respondents 1) agreed with experts that “severe storms were due to climate change”, “storms will come more often”, and that “flooding was due to sea level rise”, 2) did not agree as strongly that “climate change was due to human activity”, 3) were neutral for statements that “Sandy damages were due to loss of dunes or salt marshes”. 4) did not differ as a function of ethnic/racial categories, and 5) showed few gender differences. It is imperative that the public understand that climate change and sea level rise are occurring so that they support community programs (and funding) to prepare for increased frequency of storms and coastal flooding. The lack of high ratings for the role of dunes and marshes in preventing flooding indicates a lack of understanding that ecological structures protect coasts, and suggests a lack of support for management actions to restore dunes as part of a coastal preparedness strategy. Perceptions that do not support a public policy of coastal zone management to protect coastlines can lead to increased flooding, extensive property damages, and injuries or loss of life.","Burger, Joanna; Gochfeld, Michael",10.1007/s11252-017-0678-x,"December 01",6,"Urban Ecosystems",1261-1275,"Perceptions of severe storms, climate change, ecological structures and resiliency three years post-hurricane Sandy in New Jersey",20,2017,25331,cab3885c-a808-40f4-9b4a-79808bbdf202,"Journal Article",/article/10.1007/s11252-017-0678-x
/reference/caee7e9f-762a-4b4c-a1db-1c7153933499,https://data.globalchange.gov/reference/caee7e9f-762a-4b4c-a1db-1c7153933499,caee7e9f-762a-4b4c-a1db-1c7153933499,,"Linthicum, Kenneth J.; Assaf Anyamba; Seth C. Britch; Jennifer L. Small; Compton J. Tucker",10.17226/21792,,,,202-220,"Climate teleconnections, weather extremes, and vector-borne disease outbreaks",,2016,26107,caee7e9f-762a-4b4c-a1db-1c7153933499,"Book Section",/book/1d952efe-6f8b-40e3-8f90-b93f123453e5
/reference/cdf943a1-008a-4b9a-93d4-d0e49df114ae,https://data.globalchange.gov/reference/cdf943a1-008a-4b9a-93d4-d0e49df114ae,cdf943a1-008a-4b9a-93d4-d0e49df114ae,,"Baussan, Danielle",,,,,10,"When You Can't Go Home: The Gulf Coast 10 Years after Katrina",,2015,24139,cdf943a1-008a-4b9a-93d4-d0e49df114ae,Report,/report/when-you-cant-go-home-gulf-coast-10-years-after-katrina
/reference/d256036d-2155-4037-8b60-3ac77b22adbd,https://data.globalchange.gov/reference/d256036d-2155-4037-8b60-3ac77b22adbd,d256036d-2155-4037-8b60-3ac77b22adbd,"Introduction Although many studies have delineated the variety and magnitude of impacts that climate change is likely to have on health, very little is known about how well hospitals are poised to respond to these impacts. Hypothesis/Problem The hypothesis is that most modern hospitals in urban areas in the United States need to augment their current disaster planning to include climate-related impacts. Methods Using Los Angeles County (California USA) as a case study, historical data for emergency department (ED) visits and projections for extreme-heat events were used to determine how much climate change is likely to increase ED visits by mid-century for each hospital. In addition, historical data about the location of wildfires in Los Angeles County and projections for increased frequency of both wildfires and flooding related to sea-level rise were used to identify which area hospitals will have an increased risk of climate-related wildfires or flooding at mid-century. Results Only a small fraction of the total number of predicted ED visits at mid-century would likely to be due to climate change. By contrast, a significant portion of hospitals in Los Angeles County are in close proximity to very high fire hazard severity zones (VHFHSZs) and would be at greater risk to wildfire impacts as a result of climate change by mid-century. One hospital in Los Angeles County was anticipated to be at greater risk due to flooding by mid-century as a result of climate-related sea-level rise. Conclusion This analysis suggests that several Los Angeles County hospitals should focus their climate-change-related planning on building resiliency to wildfires. Adelaine SA , Sato M , Jin Y , Godwin H . An Assessment of Climate Change Impacts on Los Angeles (California USA) Hospitals, Wildfires Highest Priority. Prehosp Disaster Med. 2017;32(5):556–562.","Adelaine, Sabrina A.; Sato, Mizuki; Jin, Yufang; Godwin, Hilary",10.1017/S1049023X17006586,,5,"Prehospital and Disaster Medicine",556-562,"An assessment of climate change impacts on Los Angeles (California USA) hospitals, wildfires highest priority",32,2017,25332,d256036d-2155-4037-8b60-3ac77b22adbd,"Journal Article",/article/10.1017/S1049023X17006586
/reference/d429eeff-a10c-42e2-861e-5ce4506d77cf,https://data.globalchange.gov/reference/d429eeff-a10c-42e2-861e-5ce4506d77cf,d429eeff-a10c-42e2-861e-5ce4506d77cf,,"Akil, Luma; Ahmad, H. Anwar; Reddy, Remata S.",10.1089/fpd.2014.1802,,12,"Foodborne Pathogens and Disease",974-980,"Effects of climate change on Salmonella infections",11,2014,17623,d429eeff-a10c-42e2-861e-5ce4506d77cf,"Journal Article",/article/10.1089/fpd.2014.1802
/reference/d4613be9-fc30-44b5-afdb-e6d6daf4b490,https://data.globalchange.gov/reference/d4613be9-fc30-44b5-afdb-e6d6daf4b490,d4613be9-fc30-44b5-afdb-e6d6daf4b490,,"Mills, David; Schwartz, Joel; Lee, Mihye; Sarofim, Marcus; Jones, Russell; Lawson, Megan; Duckworth, Michael; Deck, Leland",10.1007/s10584-014-1154-8,,1,"Climatic Change",83-95,"Climate change impacts on extreme temperature mortality in select metropolitan areas in the United States",131,2015,17612,d4613be9-fc30-44b5-afdb-e6d6daf4b490,"Journal Article",/article/10.1007/s10584-014-1154-8
/reference/d46e068d-361c-4b50-a96b-670a5b9a95bf,https://data.globalchange.gov/reference/d46e068d-361c-4b50-a96b-670a5b9a95bf,d46e068d-361c-4b50-a96b-670a5b9a95bf,"Acute gastro-intestinal illness (AGI) is a major cause of mortality and morbidity worldwide and an important public health problem. Despite the fact that AGI is currently responsible for a huge burden of disease throughout the world, important knowledge gaps exist in terms of its epidemiology. Specifically, an understanding of seasonality and those factors driving seasonal variation remain elusive. This paper aims to assess variation in the incidence of AGI in British Columbia (BC), Canada over an 11-year study period. We assessed variation in AGI dynamics in general, and disaggregated by hydroclimatic regime and drinking water source. We used several different visual and statistical techniques to describe and characterize seasonal and annual patterns in AGI incidence over time. Our results consistently illustrate marked seasonal patterns; seasonality remains when the dataset is disaggregated by hydroclimatic regime and drinking water source; however, differences in the magnitude and timing of the peaks and troughs are noted. We conclude that systematic descriptions of infectious illness dynamics over time is a valuable tool for informing disease prevention strategies and generating hypotheses to guide future research in an era of global environmental change.","Galway, Lindsay P.; Allen, Diana M.; Parkes, Margot W.; Takaro, Tim K.",10.2166/wh.2013.105,,1,"Journal of Water and Health",122-135,"Seasonal variation of acute gastro-intestinal illness by hydroclimatic regime and drinking water source: A retrospective population-based study",12,2014,24062,d46e068d-361c-4b50-a96b-670a5b9a95bf,"Journal Article",/article/10.2166/wh.2013.105
/reference/d4ed906f-cc7b-422c-aef1-96a1b1d5c80f,https://data.globalchange.gov/reference/d4ed906f-cc7b-422c-aef1-96a1b1d5c80f,d4ed906f-cc7b-422c-aef1-96a1b1d5c80f,,"Trtanj, Juli; Jantarasami, Lesley; Brunkard, Joan; Collier, Tracy; Jacobs, John; Lipp, Erin; McLellan, Sandra; Moore, Stephanie; Paerl, Hans; Ravenscroft, John; Sengco, Mario; Thurston, Jeanette",10.7930/J03F4MH4,,,,"157–188","Ch. 6: Climate impacts on water-related illness",,2016,19378,d4ed906f-cc7b-422c-aef1-96a1b1d5c80f,"Book Section",/report/usgcrp-climate-human-health-assessment-2016/chapter/water-related-illnesses
/reference/d51156cc-0034-4afc-b2b7-1ad99efde458,https://data.globalchange.gov/reference/d51156cc-0034-4afc-b2b7-1ad99efde458,d51156cc-0034-4afc-b2b7-1ad99efde458,,"Brown, M.E.; J.M. Antle; P. Backlund; E.R. Carr; W.E. Easterling; M.K. Walsh; C. Ammann; W. Attavanich; C.B. Barrett; M.F. Bellemare; V. Dancheck; C. Funk; K. Grace; J.S.I. Ingram; H. Jiang; H. Maletta; T. Mata; A. Murray; M. Ngugi; D. Ojima; B. O’Neill; C. Tebaldi",10.7930/J0862DC7,,,,146,"Climate Change, Global Food Security, and the U.S. Food System",,2015,23655,d51156cc-0034-4afc-b2b7-1ad99efde458,Report,/report/usda-climate-change-global-food-security-us-food-system-2015
/reference/d515604c-1a1e-4ea1-8587-6d1807657ccf,https://data.globalchange.gov/reference/d515604c-1a1e-4ea1-8587-6d1807657ccf,d515604c-1a1e-4ea1-8587-6d1807657ccf,,"Glibert, Patricia M.; Icarus Allen, J.; Artioli, Yuri; Beusen, Arthur; Bouwman, Lex; Harle, James; Holmes, Robert; Holt, Jason",10.1111/gcb.12662,,12,"Global Change Biology",3845-3858,"Vulnerability of coastal ecosystems to changes in harmful algal bloom distribution in response to climate change: Projections based on model analysis",20,2014,24063,d515604c-1a1e-4ea1-8587-6d1807657ccf,"Journal Article",/article/10.1111/gcb.12662