uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Notes,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs.\.reference_type,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/5bd8de26-58f4-44b9-9919-885bb217bfb1,https://data.globalchange.gov/reference/5bd8de26-58f4-44b9-9919-885bb217bfb1,5bd8de26-58f4-44b9-9919-885bb217bfb1,"BACKGROUND: Models of the effects of environmental factors on West Nile virus disease risk have yielded conflicting outcomes. The role of precipitation has been especially difficult to discern from existing studies, due in part to habitat and behavior characteristics of specific vector species and because of differences in the temporal and spatial scales of the published studies. We used spatial and statistical modeling techniques to analyze and forecast fine scale spatial (2000 m grid) and temporal (weekly) patterns of West Nile virus mosquito infection relative to changing weather conditions in the urban landscape of the greater Chicago, Illinois, region for the years from 2004 to 2008. RESULTS: Increased air temperature was the strongest temporal predictor of increased infection in Culex pipiens and Culex restuans mosquitoes, with cumulative high temperature differences being a key factor distinguishing years with higher mosquito infection and higher human illness rates from those with lower rates. Drier conditions in the spring followed by wetter conditions just prior to an increase in infection were factors in some but not all years. Overall, 80% of the weekly variation in mosquito infection was explained by prior weather conditions. Spatially, lower precipitation was the most important variable predicting stronger mosquito infection; precipitation and temperature alone could explain the pattern of spatial variability better than could other environmental variables (79% explained in the best model). Variables related to impervious surfaces and elevation differences were of modest importance in the spatial model. CONCLUSION: Finely grained temporal and spatial patterns of precipitation and air temperature have a consistent and significant impact on the timing and location of increased mosquito infection in the northeastern Illinois study area. The use of local weather data at multiple monitoring locations and the integration of mosquito infection data from numerous sources across several years are important to the strength of the models presented. The other spatial environmental factors that tended to be important, including impervious surfaces and elevation measures, would mediate the effect of rainfall on soils and in urban catch basins. Changes in weather patterns with global climate change make it especially important to improve our ability to predict how inter-related local weather and environmental factors affect vectors and vector-borne disease risk.Local impact of temperature and precipitation on West Nile virus infection in Culex species mosquitoes in northeast Illinois, USA.","Ruiz, M. O.; Chaves, L. F.; Hamer, G. L.; Sun, T.; Brown, W. M.; Walker, E. D.; Haramis, L.; Goldberg, T. L.; Kitron, U. D.",10.1186/1756-3305-3-19,1756-3305,1,"Parasites & Vectors","Ruiz, Marilyn O Chaves, Luis F Hamer, Gabriel L Sun, Ting Brown, William M Walker, Edward D Haramis, Linn Goldberg, Tony L Kitron, Uriel D eng England 2010/03/23 06:00 Parasit Vectors. 2010 Mar 19;3(1):19. doi: 10.1186/1756-3305-3-19.","Article 19","Local impact of temperature and precipitation on West Nile virus infection in Culex species mosquitoes in northeast Illinois, USA",3,2010,0,18034,5bd8de26-58f4-44b9-9919-885bb217bfb1,"Journal Article",/article/10.1186/1756-3305-3-19
/reference/5c13bb5b-bd92-439c-ae58-4c226d28c0fd,https://data.globalchange.gov/reference/5c13bb5b-bd92-439c-ae58-4c226d28c0fd,5c13bb5b-bd92-439c-ae58-4c226d28c0fd,"Vibrio cholerae, the causative agent of cholera, is a naturally occurring inhabitant of the Chesapeake Bay and serves as a predictor for other clinically important vibrios, including Vibrio parahaemolyticus and Vibrio vulnificus. A system was constructed to predict the likelihood of the presence of V. cholerae in surface waters of the Chesapeake Bay, with the goal to provide forecasts of the occurrence of this and related pathogenic Vibrio spp. Prediction was achieved by driving an available multivariate empirical habitat model estimating the probability of V. cholerae within a range of temperatures and salinities in the Bay, with hydrodynamically generated predictions of ambient temperature and salinity. The experimental predictions provided both an improved understanding of the in situ variability of V. cholerae, including identification of potential hotspots of occurrence, and usefulness as an early warning system. With further development of the system, prediction of the probability of the occurrence of related pathogenic vibrios in the Chesapeake Bay, notably V. parahaemolyticus and V. vulnificus, will be possible, as well as its transport to any geographical location where sufficient relevant data are available.","Constantin de Magny, G.; Long, W.; Brown, C. W.; Hood, R. R.; Huq, A.; Murtugudde, R.; Colwell, R. R.",10.1007/s10393-009-0273-6,1612-9210,3,EcoHealth,"1612-9210 Constantin de Magny, Guillaume Long, Wen Brown, Christopher W Hood, Raleigh R Huq, Anwar Murtugudde, Raghu Colwell, Rita R 1 R01 A139129/PHS HHS/United States R01 AI039129/AI/NIAID NIH HHS/United States R01 AI039129-09/AI/NIAID NIH HHS/United States Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. United States Ecohealth. 2009 Sep;6(3):378-89. doi: 10.1007/s10393-009-0273-6. Epub 2010 Feb 10.",378-389,"Predicting the distribution of Vibrio spp. in the Chesapeake Bay: A Vibrio cholerae case study",6,2009,0,18416,5c13bb5b-bd92-439c-ae58-4c226d28c0fd,"Journal Article",/article/10.1007/s10393-009-0273-6
/reference/5cf35b72-dfa8-4f4d-825a-23e3c45f5895,https://data.globalchange.gov/reference/5cf35b72-dfa8-4f4d-825a-23e3c45f5895,5cf35b72-dfa8-4f4d-825a-23e3c45f5895,,"Sales-Ortells, Helena; Fernandez-Cassi, Xavier; Timoneda, Natàlia; Dürig, Wiebke; Girones, Rosina; Medema, Gertjan",10.1016/j.foodres.2014.08.018,1873-7145,,"Food Research International",,70-77,"Health risks derived from consumption of lettuces irrigated with tertiary effluent containing norovirus",68,2015,0,16209,5cf35b72-dfa8-4f4d-825a-23e3c45f5895,"Journal Article",/article/10.1016/j.foodres.2014.08.018
/reference/5d3a9428-c81f-4c38-bda4-0b475b07d947,https://data.globalchange.gov/reference/5d3a9428-c81f-4c38-bda4-0b475b07d947,5d3a9428-c81f-4c38-bda4-0b475b07d947,,"Künzli, Nino; Avol, Ed; Wu, Jun; Gauderman, W. James; Rappaport, Ed; Millstein, Joshua; Bennion, Jonathan; McConnell, Rob; Gilliland, Frank D.; Berhane, Kiros; Lurmann, Fred; Winer, Arthur; Peters, John M.",10.1164/rccm.200604-519OC,1535-4970,11,"American Journal of Respiratory and Critical Care Medicine","Ch3,7",1221-1228,"Health effects of the 2003 southern California wildfires on children",174,2006,0,16477,5d3a9428-c81f-4c38-bda4-0b475b07d947,"Journal Article",/article/10.1164/rccm.200604-519OC
/reference/5dbd8d4e-540b-4551-83e7-202589965032,https://data.globalchange.gov/reference/5dbd8d4e-540b-4551-83e7-202589965032,5dbd8d4e-540b-4551-83e7-202589965032,"OBJECTIVE: The associations between ozone concentrations measured outdoors and both morbidity and mortality may be partially due to indoor exposures to ozone and ozone-initiated oxidation products. In this article I examine the contributions of such indoor exposures to overall ozone-related health effects by extensive review of the literature as well as further analyses of published data. FINDINGS: Daily inhalation intakes of indoor ozone (micrograms per day) are estimated to be between 25 and 60% of total daily ozone intake. This is especially noteworthy in light of recent work indicating little, if any, threshold for ozone's impact on mortality. Additionally, the present study estimates that average daily indoor intakes of ozone oxidation products are roughly one-third to twice the indoor inhalation intake of ozone alone. Some of these oxidation products are known or suspected to adversely affect human health (e.g., formaldehyde, acrolein, hydroperoxides, fine and ultrafine particles). Indirect evidence supports connections between morbidity/mortality and exposures to indoor ozone and its oxidation products. For example, cities with stronger associations between outdoor ozone and mortality tend to have residences that are older and less likely to have central air conditioning, which implies greater transport of ozone from outdoors to indoors. CONCLUSIONS: Indoor exposures to ozone and its oxidation products can be reduced by filtering ozone from ventilation air and limiting the indoor use of products and materials whose emissions react with ozone. Such steps might be especially valuable in schools, hospitals, and childcare centers in regions that routinely experience elevated outdoor ozone concentrations.","Weschler, C. J.",,1552-9924,10,"Environmental Health Perspectives","Weschler, Charles J Journal Article Review United States Environ Health Perspect. 2006 Oct;114(10):1489-96.",1489-1496,"Ozone's impact on public health: Contributions from indoor exposures to ozone and products of ozone-initiated chemistry",114,2006,0,18572,5dbd8d4e-540b-4551-83e7-202589965032,"Journal Article",/article/pmc-1626413
/reference/5dda98ab-87a9-473e-ad09-7df6f6a9df5b,https://data.globalchange.gov/reference/5dda98ab-87a9-473e-ad09-7df6f6a9df5b,5dda98ab-87a9-473e-ad09-7df6f6a9df5b,,USGS,,,"December 2014",,,,"Dengue Fever (Locally Acquired) Human 2013. Cumulative data as of May 7, 2014",,2014,48,18349,5dda98ab-87a9-473e-ad09-7df6f6a9df5b,"Online Multimedia",/webpage/204e21e1-05a9-40b8-8a79-e92a7c893cff
/reference/5e1f1b01-4535-41fe-93cb-0a8c46b63645,https://data.globalchange.gov/reference/5e1f1b01-4535-41fe-93cb-0a8c46b63645,5e1f1b01-4535-41fe-93cb-0a8c46b63645,,"Kellogg, Joshua; Wang, Jinzhi; Flint, Courtney; Ribnicky, David; Kuhn, Peter; De Mejia, Elvira González; Raskin, Ilya; Lila, Mary Ann",10.1021/jf902693r,1520-5118,7,"Journal of Agricultural and Food Chemistry",,3884-3900,"Alaskan wild berry resources and human health under the cloud of climate change",58,2010,0,17642,5e1f1b01-4535-41fe-93cb-0a8c46b63645,"Journal Article",/article/10.1021/jf902693r
/reference/5f4db33c-1c7e-4129-9438-e5d8c9d589e4,https://data.globalchange.gov/reference/5f4db33c-1c7e-4129-9438-e5d8c9d589e4,5f4db33c-1c7e-4129-9438-e5d8c9d589e4,,"Yip, Fuyuen Y.; Flanders, W. Dana; Wolkin, Amy; Engelthaler, David; Humble, William; Neri, Antonio; Lewis, Lauren; Backer, Lorraine; Rubin, Carol",10.1007/s00484-008-0169-0,1432-1254,8,"International Journal of Biometeorology",,765-772,"The impact of excess heat events in Maricopa County, Arizona: 2000–2005",52,2008,0,17891,5f4db33c-1c7e-4129-9438-e5d8c9d589e4,"Journal Article",/article/10.1007/s00484-008-0169-0
/reference/5f587662-8664-420f-8045-196e2bb7ec0d,https://data.globalchange.gov/reference/5f587662-8664-420f-8045-196e2bb7ec0d,5f587662-8664-420f-8045-196e2bb7ec0d,,"Harlan, S.L.
Brazel, A.J.
Prashad, L.
Stefanov, W.L.
Larsen, L.",10.1016/j.socscimed.2006.07.030,0277-9536,11,"Social Science & Medicine",,2847-2863,"Neighborhood microclimates and vulnerability to heat stress",63,2006,0,1165,5f587662-8664-420f-8045-196e2bb7ec0d,"Journal Article",/article/10.1016/j.socscimed.2006.07.030
/reference/5f6029f9-9de1-4d32-b772-cf836ac4e048,https://data.globalchange.gov/reference/5f6029f9-9de1-4d32-b772-cf836ac4e048,5f6029f9-9de1-4d32-b772-cf836ac4e048,,"Callaghan, William M.; Rasmussen, Sonja A.; Jamieson, Denise J.; Ventura, Stephanie J.; Farr, Sherry L.; Sutton, Paul D.; Mathews, Thomas J.; Hamilton, Brady E.; Shealy, Katherine R.; Brantley, Dabo; Posner, Sam F.",10.1007/s10995-007-0177-4,1573-6628,4,"Maternal and Child Health Journal","Ch8,9",307-311,"Health concerns of women and infants in times of natural disasters: Lessons learned from Hurricane Katrina",11,2007,0,16495,5f6029f9-9de1-4d32-b772-cf836ac4e048,"Journal Article",/article/10.1007/s10995-007-0177-4
/reference/5fd34d06-188b-4a26-9a7c-40b440c261dc,https://data.globalchange.gov/reference/5fd34d06-188b-4a26-9a7c-40b440c261dc,5fd34d06-188b-4a26-9a7c-40b440c261dc,,"Curtis, Dennis; Hill, Arthur; Wilcock, Anne; Charlebois, Sylvain",10.1111/1750-3841.12646,0022-1147,10,"Journal of Food Science",,R1871-R1876,"Foodborne and waterborne pathogenic bacteria in selected Organisation for Economic Cooperation and Development (OECD) countries",79,2014,0,19109,5fd34d06-188b-4a26-9a7c-40b440c261dc,"Journal Article",/article/10.1111/1750-3841.12646
/reference/5fe6c1ab-b3eb-4181-ae3c-f42afbf13079,https://data.globalchange.gov/reference/5fe6c1ab-b3eb-4181-ae3c-f42afbf13079,5fe6c1ab-b3eb-4181-ae3c-f42afbf13079,,"Bouzid, Maha; Hooper, Lee; Hunter, Paul R.",10.1371/journal.pone.0062041,1932-6203,4,"PLoS ONE",,e62041,"The effectiveness of public health interventions to reduce the health impact of climate change: A systematic review of systematic reviews",8,2013,0,19140,5fe6c1ab-b3eb-4181-ae3c-f42afbf13079,"Journal Article",/article/10.1371/journal.pone.0062041
/reference/6013994a-8717-4a99-935a-8a13800fcdc5,https://data.globalchange.gov/reference/6013994a-8717-4a99-935a-8a13800fcdc5,6013994a-8717-4a99-935a-8a13800fcdc5,"A rapidly growing body of research examines whether human conflict can be affected by climatic changes. Drawing from archaeology, criminology, economics, geography, history, political science, and psychology, we assemble and analyze the 60 most rigorous quantitative studies and document, for the first time, a striking convergence of results. We find strong causal evidence linking climatic events to human conflict across a range of spatial and temporal scales and across all major regions of the world. The magnitude of climate's influence is substantial: for each one standard deviation (1sigma) change in climate toward warmer temperatures or more extreme rainfall, median estimates indicate that the frequency of interpersonal violence rises 4% and the frequency of intergroup conflict rises 14%. Because locations throughout the inhabited world are expected to warm 2sigma to 4sigma by 2050, amplified rates of human conflict could represent a large and critical impact of anthropogenic climate change.","Hsiang, S. M.; Burke, M.; Miguel, E.",10.1126/science.1235367,1095-9203,6151,Science,"Hsiang, Solomon M Burke, Marshall Miguel, Edward Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. United States Science. 2013 Sep 13;341(6151):1235367. doi: 10.1126/science.1235367. Epub 2013 Aug 1.",1235367,"Quantifying the influence of climate on human conflict",341,2013,0,4568,6013994a-8717-4a99-935a-8a13800fcdc5,"Journal Article",/article/10.1126/science.1235367
/reference/603533d6-fc3b-479b-b9d5-3b690e9622c9,https://data.globalchange.gov/reference/603533d6-fc3b-479b-b9d5-3b690e9622c9,603533d6-fc3b-479b-b9d5-3b690e9622c9,,"Normand, Sharon-Lise T.",10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0,,3,"Statistics in Medicine",,321-359,"Meta-analysis: Formulating, evaluating, combining, and reporting",18,1999,0,19269,603533d6-fc3b-479b-b9d5-3b690e9622c9,"Journal Article",/article/10.1002/(SICI)1097-0258(19990215)18:3%3C321::AID-SIM28%3E3.0.CO;2-P
/reference/6038a20c-1651-4ec8-a0c3-67f9568ce32b,https://data.globalchange.gov/reference/6038a20c-1651-4ec8-a0c3-67f9568ce32b,6038a20c-1651-4ec8-a0c3-67f9568ce32b,,"Polley, Lydden; Thompson, R. C. Andrew",10.1016/j.pt.2009.03.007,1471-4922,6,"Trends in Parasitology",,285-291,"Parasite zoonoses and climate change: Molecular tools for tracking shifting boundaries",25,2009,0,17936,6038a20c-1651-4ec8-a0c3-67f9568ce32b,"Journal Article",/article/10.1016/j.pt.2009.03.007
/reference/603e74e7-cfae-45ff-bf78-4c38f32aa678,https://data.globalchange.gov/reference/603e74e7-cfae-45ff-bf78-4c38f32aa678,603e74e7-cfae-45ff-bf78-4c38f32aa678,"This study is the first to report a quantitative microbial risk assessment (QMRA) on pathogens detected in stormwater discharges-of-concern, rather than relying on pathogen measurements in receiving waters. The pathogen concentrations include seven ""Reference Pathogens"" identified by the U.S. EPA: Cryptosporidium, Giardia, Salmonella, Norovirus, Rotavirus, Enterovirus, and Adenovirus. Data were collected from 12 sites representative of seven discharge types (including residential, commercial/industrial runoff, agricultural runoff, combined sewer overflows, and forested land), mainly during wet weather conditions during which times human health risks can be substantially elevated. The risks calculated herein therefore generally apply to short-term conditions (during and just after rainfall events) and so the results can be used by water managers to potentially inform the public, even for waters that comply with current criteria (based as they are on a 30-day mean risk). Using an example waterbody and mixed source, pathogen concentrations were used in QMRA models to generate risk profiles for primary and secondary water contact (or inhalation) by adults and children. A number of critical assumptions and considerations around the QMRA analysis are highlighted, particularly the harmonization of the pathogen concentrations measured in discharges during this project with those measured (using different methods) during the published dose-response clinical trials. Norovirus was the most dominant predicted health risk, though further research on its dose-response for illness (cf. infection) is needed. Even if the example mixed-source concentrations of pathogens had been reduced 30 times (by inactivation and mixing), the predicted swimming-associated illness rates - largely driven by Norovirus infections - can still be appreciable. Rotavirus generally induced the second-highest incidence of risk among the tested pathogens while risks for the other Reference Pathogens (. Giardia, Cryptosporidium, Adenovirus, Enterovirus and Salmonella) were considerably lower. Secondary contact or inhalation resulted in considerable reductions in risk compared to primary contact. Measurements of Norovirus and careful incorporation of its concentrations into risk models (harmonization) should be a critical consideration for future QMRA efforts. The discharge-based QMRA approach presented herein is particularly relevant to cases where pathogens cannot be reliably detected in receiving waters with detection limits relevant to human health effects. © 2013 Elsevier Ltd.","McBride, G. B.; Stott, R.; Miller, W.; Bambic, D.; Wuertz, S.",10.1016/j.watres.2013.06.001,1879-2448,14,"Water Research","Export Date: 7 November 2013 Source: Scopus CODEN: WATRA Language of Original Document: English Correspondence Address: McBride, G.B.; NIWA (National Institute of Water and Atmospheric Research), P.O. Box 11-115, Hamilton 3251, New Zealand; email: Graham.McBride@niwa.co.nz",5282-5297,"Discharge-based QMRA for estimation of public health risks from exposure to stormwater-borne pathogens in recreational waters in the United States",47,2013,0,4814,603e74e7-cfae-45ff-bf78-4c38f32aa678,"Journal Article",/article/10.1016/j.watres.2013.06.001
/reference/605336f7-2093-4f4b-af58-fb7a1e0f2566,https://data.globalchange.gov/reference/605336f7-2093-4f4b-af58-fb7a1e0f2566,605336f7-2093-4f4b-af58-fb7a1e0f2566,,"Ebbeling, Cara B.; Swain, Janis F.; Feldman, Henry A.; Wong, William W.; Hachey, David L.; Garcia-Lago, Erica; Ludwig, David S.",10.1001/jama.2012.6607,0098-7484,24,"JAMA: The Journal of the American Medical Association",,2627-2634,"Effects of dietary composition on energy expenditure during weight-loss maintenance",307,2012,0,16186,605336f7-2093-4f4b-af58-fb7a1e0f2566,"Journal Article",/article/10.1001/jama.2012.6607
/reference/6066212c-7cfd-46af-8255-e6c75647167a,https://data.globalchange.gov/reference/6066212c-7cfd-46af-8255-e6c75647167a,6066212c-7cfd-46af-8255-e6c75647167a,,CDC,,,,,,,"Lyme Disease: Data and Statistics: Maps- Reported Cases of Lyme Disease – United States, 2001-2014",2014c,2015,16,18328,6066212c-7cfd-46af-8255-e6c75647167a,"Web Page",/webpage/eee6fd2b-9f99-47da-99db-7a1057e33343
/reference/60783c5d-29e5-4c49-9c08-95e9bdfabf1d,https://data.globalchange.gov/reference/60783c5d-29e5-4c49-9c08-95e9bdfabf1d,60783c5d-29e5-4c49-9c08-95e9bdfabf1d,,"Samoli, Evangelia; Analitis, Antonis; Touloumi, Giota; Schwartz, Joel; Anderson, Hugh R.; Sunyer, Jordi; Bisanti, Luigi; Zmirou, Denis; Vonk, Judith M.; Pekkanen, Juha; Goodman, Pat; Paldy, Anna; Schindler, Christian; Katsouyanni, Klea",10.1289/ehp.7387,1552-9924,1,"Environmental Health Perspectives",,88-95,"Estimating the exposure-response relationships betwen particulate matter and mortality within the APHEA multicity project",113,2005,0,19270,60783c5d-29e5-4c49-9c08-95e9bdfabf1d,"Journal Article",/article/10.1289/ehp.7387
/reference/60be18ee-b5bc-4503-8f77-102561b193fb,https://data.globalchange.gov/reference/60be18ee-b5bc-4503-8f77-102561b193fb,60be18ee-b5bc-4503-8f77-102561b193fb,,"Du, Weiwei; FitzGerald, Gerard Joseph; Clark, Michele; Hou, Xiang-Yu",10.1017/S1049023X00008141,1945-1938,03,"Prehospital and Disaster Medicine",,265-272,"Health impacts of floods",25,2010,0,17818,60be18ee-b5bc-4503-8f77-102561b193fb,"Journal Article",/article/10.1017/S1049023X00008141
/reference/60c1199f-692f-4e77-bd9b-15ae136141e7,https://data.globalchange.gov/reference/60c1199f-692f-4e77-bd9b-15ae136141e7,60c1199f-692f-4e77-bd9b-15ae136141e7,,"Pastor, M.
Bullard, R.D.
Boyce, J.K.
Fothergill, A.
Morello-Frosch, R.
Wright, B.",,,,,,,"In the Wake of the Storm: Environment, Disaster, and Race After Katrina",,2006,1,2437,60c1199f-692f-4e77-bd9b-15ae136141e7,Book,/report/russellsagefoundation-in-the-wake-of-the-storm-2006
/reference/60c98535-ad37-43fa-b0fd-e7c850782d13,https://data.globalchange.gov/reference/60c98535-ad37-43fa-b0fd-e7c850782d13,60c98535-ad37-43fa-b0fd-e7c850782d13,,"Hoshiko, Sumi; English, Paul; Smith, Daniel; Trent, Roger",10.1007/s00038-009-0060-8,1661-8564,2,"International Journal of Public Health",,133-137,"A simple method for estimating excess mortality due to heat waves, as applied to the 2006 California heat wave",55,2010,0,17600,60c98535-ad37-43fa-b0fd-e7c850782d13,"Journal Article",/article/10.1007/s00038-009-0060-8
/reference/60d14b73-614b-4375-96cd-623566b329f4,https://data.globalchange.gov/reference/60d14b73-614b-4375-96cd-623566b329f4,60d14b73-614b-4375-96cd-623566b329f4,,"Murazaki, K.; Hess, P.",10.1029/2005JD005873,2169-8996,D5,"Journal of Geophysical Research: Atmospheres",,D05301,"How does climate change contribute to surface ozone change over the United States?",111,2006,0,19309,60d14b73-614b-4375-96cd-623566b329f4,"Journal Article",/article/10.1029/2005JD005873
/reference/60f709c9-4868-477a-9904-d585f844c256,https://data.globalchange.gov/reference/60f709c9-4868-477a-9904-d585f844c256,60f709c9-4868-477a-9904-d585f844c256,,"Choi, Hyunok; Rauh, Virginia; Garfinkel, Robin; Tu, Yihsuan; Perera, Frederica P.",10.1289/ehp.10958,1552-9924,5,"Environmental Health Perspectives",,658-665,"Prenatal exposure to airborne polycyclic aromatic hydrocarbons and risk of intrauterine growth restriction",116,2008,0,16392,60f709c9-4868-477a-9904-d585f844c256,"Journal Article",/article/10.1289/ehp.10958
/reference/60fcb251-3b4a-4606-9436-a12e13afac67,https://data.globalchange.gov/reference/60fcb251-3b4a-4606-9436-a12e13afac67,60fcb251-3b4a-4606-9436-a12e13afac67,,CDC,,,32,"MMWR. Morbidity and Mortality Weekly Report",,702-715,"Notice to readers: Final 2013 Reports of Nationally Notifiable Infectious Diseases",63,2014,0,16521,60fcb251-3b4a-4606-9436-a12e13afac67,"Journal Article",/article/pmid-25272402
/reference/6116cc9a-1779-4f9c-9b70-ce7bbe540dc3,https://data.globalchange.gov/reference/6116cc9a-1779-4f9c-9b70-ce7bbe540dc3,6116cc9a-1779-4f9c-9b70-ce7bbe540dc3,,ACIA,,,,,,140,"Impacts of a Warming Arctic: Arctic Climate Impact Assessment",,2004,10,18229,6116cc9a-1779-4f9c-9b70-ce7bbe540dc3,Report,/report/acia-2004
/reference/611d5fd8-8410-485d-a27d-7b9f961778d9,https://data.globalchange.gov/reference/611d5fd8-8410-485d-a27d-7b9f961778d9,611d5fd8-8410-485d-a27d-7b9f961778d9,,"Engle, Nathan L.",10.1016/j.gloenvcha.2011.01.019,1872-9495,2,"Global Environmental Change",,647-656,"Adaptive capacity and its assessment",21,2011,0,19323,611d5fd8-8410-485d-a27d-7b9f961778d9,"Journal Article",/article/10.1016/j.gloenvcha.2011.01.019
/reference/612116b1-c4e3-4fa6-abe4-6ea65c35fd5c,https://data.globalchange.gov/reference/612116b1-c4e3-4fa6-abe4-6ea65c35fd5c,612116b1-c4e3-4fa6-abe4-6ea65c35fd5c,,"O'Neill, B. C.; Kriegler, Elmar; Ebi, Kristie L.; Kemp-Benedict, Eric; Riahi, Keywan; Rothman, Dale S.; van Ruijven, Bas J.; van Vuuren, Detlef P.; Birkmann, Joern; Kok, Kasper; Levy, Marc; Solecki, William",10.1016/j.gloenvcha.2015.01.004,1872-9495,,"Global Environmental Change",,,"The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century","In press",2015,0,19137,612116b1-c4e3-4fa6-abe4-6ea65c35fd5c,"Journal Article",/article/10.1016/j.gloenvcha.2015.01.004
/reference/61272d35-f059-4d3f-bc66-8556455ebd87,https://data.globalchange.gov/reference/61272d35-f059-4d3f-bc66-8556455ebd87,61272d35-f059-4d3f-bc66-8556455ebd87,"OBJECTIVE: To describe the experiences of older farmers in the face of prolonged drought and rapid change. DESIGN: Content analysis of issues and priorities raised in semi-structured community forums. SETTING: Rural centres in NSW. PARTICIPANTS: One hundred and fifty older farmers, their families, Industry and Investment NSW, rural financial and mental health services, the Country Women's Association and other non-government agencies. INTERVENTION: Five public forums organised under the Rural Adversity Mental Health Program. RESULTS: Prolonged drought caused pressures on farmers that compounded the usual stresses of farming and of ageing. These were experienced in the context of rapid social and industry change, fuel price volatility and the insidious threat of climate change. Three main themes were articulated: loss, government compliance pressures and difficulties accessing and/or inappropriate services. CONCLUSION: Older farmers felt an overwhelming sense of loss: of profitability and professional success, community status, physical well-being and comfort, the ability to participate in the modern world and, above all, of relationships (partners, children and friends moving away). They interpreted government compliance requirements as evidence of community and government loss of trust in famers. They resisted using the few mental health services that might be available, fearing being labelled as 'crazy' and discouraged by the culturally inappropriate way in which services were offered. Older farmers would benefit from joint services related to health and well-being simultaneously with modern business management offered in trusted, comfortable settings.","Polain, J. D.; Berry, H. L.; Hoskin, J. O.",10.1111/j.1440-1584.2011.01219.x,1440-1584,5,"Australian Journal of Rural Health","1440-1584 Polain, John David Berry, Helen Louise Hoskin, John Oliver Journal Article Australia Aust J Rural Health. 2011 Oct;19(5):239-43. doi: 10.1111/j.1440-1584.2011.01219.x.",239-243,"Rapid change, climate adversity and the next 'big dry': Older farmers' mental health",19,2011,0,18157,61272d35-f059-4d3f-bc66-8556455ebd87,"Journal Article",/article/10.1111/j.1440-1584.2011.01219.x
/reference/6144a649-5c20-4070-ac57-0c87261572da,https://data.globalchange.gov/reference/6144a649-5c20-4070-ac57-0c87261572da,6144a649-5c20-4070-ac57-0c87261572da,"Exposure to bioaerosol allergens such as pollen can cause exacerbations of allergenic airway disease (AAD) in sensitive populations, and thus cause serious public health problems. Assessing these health impacts by linking the airborne pollen levels, concentrations of respirable allergenic material, and human allergenic response under current and future climate conditions is a key step toward developing preventive and adaptive actions. To that end, a regional-scale pollen emission and transport modeling framework was developed that treats allergenic pollens as non-reactive tracers within the WRF/CMAQ air-quality modeling system. The Simulator of the Timing and Magnitude of Pollen Season (STaMPS) model was used to generate a daily pollen pool that can then be emitted into the atmosphere by wind. The STaMPS is driven by species-specific meteorological (temperature and/or precipitation) threshold conditions and is designed to be flexible with respect to its representation of vegetation species and plant functional types (PFTs). The hourly pollen emission flux was parameterized by considering the pollen pool, friction velocity, and wind threshold values. The dry deposition velocity of each species of pollen was estimated based on pollen grain size and density. An evaluation of the pollen modeling framework was conducted for southern California for the period from March to June 2010. This period coincided with observations by the University of Southern California's Children's Health Study (CHS), which included O3, PM2.5, and pollen count, as well as measurements of exhaled nitric oxide in study participants. Two nesting domains with horizontal resolutions of 12 km and 4 km were constructed, and six representative allergenic pollen genera were included: birch tree, walnut tree, mulberry tree, olive tree, oak tree, and brome grasses. Under the current parameterization scheme, the modeling framework tends to underestimate walnut and peak oak pollen concentrations, and tends to overestimate grass pollen concentrations. The model shows reasonable agreement with observed birch, olive, and mulberry tree pollen concentrations. Sensitivity studies suggest that the estimation of the pollen pool is a major source of uncertainty for simulated pollen concentrations. Achieving agreement between emission modeling and observed pattern of pollen releases is the key for successful pollen concentration simulations.","Zhang, R.; Duhl, T.; Salam, M. T.; House, J. M.; Flagan, R. C.; Avol, E. L.; Gilliland, F. D.; Guenther, A.; Chung, S. H.; Lamb, B. K.; VanReken, T. M.",10.5194/bgd-10-3977-2013,1726-4189,3,Biogeosciences,"Zhang, Rui Duhl, Tiffany Salam, Muhammad T House, James M Flagan, Richard C Avol, Edward L Gilliland, Frank D Guenther, Alex Chung, Serena H Lamb, Brian K VanReken, Timothy M P30 ES007048/ES/NIEHS NIH HHS/United States Journal article Biogeosciences. 2013 Mar 1;10(3):3977-4023.",3977-4023,"Development of a regional-scale pollen emission and transport modeling framework for investigating the impact of climate change on allergic airway disease",10,2013,0,18577,6144a649-5c20-4070-ac57-0c87261572da,"Journal Article",/article/10.5194/bgd-10-3977-2013
/reference/615bdab0-bcfd-4731-b2d6-8fc203cf8c20,https://data.globalchange.gov/reference/615bdab0-bcfd-4731-b2d6-8fc203cf8c20,615bdab0-bcfd-4731-b2d6-8fc203cf8c20,,"Whitman, Timothy J.; Coyne, Philip E.; Magill, Alan J.; Blazes, David L.; Green, Michael D.; Milhous, Wilbur K.; Burgess, Timothy H.; Freilich, Daniel; Tasker, Sybil A.; Azar, Ramzy G.; Endy, Timothy P.; Clagett, Christopher D.; Deye, Gregory A.; Shanks, G.Dennis; Martin, Gregory J.",10.4269/ajtmh.2010.09-0774,0002-9637,2,"The American Journal of Tropical Medicine and Hygiene",,258-265,"An outbreak of Plasmodium falciparum malaria in U.S. Marines deployed to Liberia",83,2010,0,19261,615bdab0-bcfd-4731-b2d6-8fc203cf8c20,"Journal Article",/article/10.4269/ajtmh.2010.09-0774
/reference/6168163c-2f61-4593-810e-fe389a8f7834,https://data.globalchange.gov/reference/6168163c-2f61-4593-810e-fe389a8f7834,6168163c-2f61-4593-810e-fe389a8f7834,,"Jackson, J.E.
Yost, M.G.
Karr, C.
Fitzpatrick, C.
Lamb, B.K.
Chung, S.H.
Chen, J.
Avise, J.
Rosenblatt, R.A.
Fenske, R.A.",10.1007/s10584-010-9852-3,0165-0009,1-2,"Climatic Change",,159-186,"Public health impacts of climate change in Washington State: Projected mortality risks due to heat events and air pollution",102,2010,0,1353,6168163c-2f61-4593-810e-fe389a8f7834,"Journal Article",/article/10.1007/s10584-010-9852-3
/reference/6177fcba-e6ac-48c8-aed7-ef5eed7b1b9c,https://data.globalchange.gov/reference/6177fcba-e6ac-48c8-aed7-ef5eed7b1b9c,6177fcba-e6ac-48c8-aed7-ef5eed7b1b9c,,"Younger, M.
Morrow-Almeida, H.R.
Vindigni, S.M.
Dannenberg, A.L.",10.1016/j.amepre.2008.08.017,0749-3797,5,"American Journal of Preventive Medicine",,517-526,"The built environment, climate change, and health: Opportunities for co-benefits",35,2008,0,3514,6177fcba-e6ac-48c8-aed7-ef5eed7b1b9c,"Journal Article",/article/10.1016/j.amepre.2008.08.017
/reference/6178ad09-3e96-43ec-9775-2f772b162a29,https://data.globalchange.gov/reference/6178ad09-3e96-43ec-9775-2f772b162a29,6178ad09-3e96-43ec-9775-2f772b162a29,"Climate change will affect the concentrations of air pollutants in buildings. The resulting shifts in human exposure may influence public health. Changes can be anticipated because of altered outdoor pollution and also owing to changes in buildings effected in response to changing climate. Three classes of factors govern indoor pollutant levels in occupied spaces: (a) properties of pollutants; (b) building factors, such as the ventilation rate; and (c) occupant behavior. Diversity of indoor conditions influences the public health significance of climate change. Potentially vulnerable subpopulations include not only the young and the infirm but also those who lack resources to respond effectively to changing conditions. Indoor air pollutant levels reflect the sum of contributions from indoor sources and from outdoor pollutants that enter with ventilation air. Pollutant classes with important indoor sources include the byproducts of combustion, radon, and volatile and semivolatile organic compounds. Outdoor pollutants of special concern include particulate matter and ozone. To ensure good indoor air quality it is important first to avoid high indoor emission rates for all pollutants and second to ensure adequate ventilation. A third factor is the use of air filtration or air cleaning to achieve further improvements where warranted.","Nazaroff, W. W.",10.1088/1748-9326/8/1/015022,1748-9326,1,"Environmental Research Letters","Times Cited: 0 Nazaroff, William W. US Environmental Protection Agency This letter was developed from text originally drafted by the author while serving on a committee of the Institute of Medicine addressing the 'Effect of Climate Change on Indoor Air Quality and Public Health'. The committee's work was financially supported by the US Environmental Protection Agency. John D Spengler chaired the committee and David A Butler was the study director. Iop publishing ltd Bristol",015022,"Exploring the consequences of climate change for indoor air quality",8,2013,0,4905,6178ad09-3e96-43ec-9775-2f772b162a29,"Journal Article",/article/10.1088/1748-9326/8/1/015022
/reference/618edb7b-6c2f-4bee-899f-d52bb44743a0,https://data.globalchange.gov/reference/618edb7b-6c2f-4bee-899f-d52bb44743a0,618edb7b-6c2f-4bee-899f-d52bb44743a0,"BACKGROUND: Heat-related mortality is a matter of great public health concern, especially in the light of climate change. Although many studies have found associations between high temperatures and mortality, more research is needed to project the future impacts of climate change on heat-related mortality.; OBJECTIVES: We conducted a systematic review of research and methods for projecting future heat-related mortality under climate change scenarios.; DATA SOURCES AND EXTRACTION: A literature search was conducted in August 2010, using the electronic databases PubMed, Scopus, Science Direct, Pro Quest, and Web of Science. The search was limited to peer-reviewed journal articles published in English from January 1980 through July 2010.; DATA SYNTHESIS: Fourteen studies fulfilled the inclusion criteria. Most projections showed that climate change would result in a substantial increase in heat-related mortality. Projecting heat-related mortality requires understanding historical temperature mortality relationships and considering the future changes in climate, population, and acclimatization. Further research is needed to provide a stronger theoretical framework for projections, including a better understanding of socioeconomic development, adaptation strategies, land-use patterns, air pollution, and mortality displacement.; CONCLUSIONS: Scenario-based projection research will meaningfully contribute to assessing and managing the potential impacts of climate change on heat-related mortality.","Huang, Cunrui
Barnett, Adrian Gerard
Wang, Xiaoming
Vaneckova, Pavla
FitzGerald, Gerard
Tong, Shilu",10.1289/Ehp.1103456,0091-6765,12,"Environmental Health Perspectives","857IH; Times Cited:0; Cited References Count:94",1681-1690,"Projecting future heat-related mortality under climate change scenarios: A systematic review",119,2011,0,3599,618edb7b-6c2f-4bee-899f-d52bb44743a0,"Journal Article",/article/10.1289/ehp.1103456
/reference/61b95c91-09b7-4f17-b551-dce616662ae6,https://data.globalchange.gov/reference/61b95c91-09b7-4f17-b551-dce616662ae6,61b95c91-09b7-4f17-b551-dce616662ae6,,"Penner, S.J.; Wachsmuth, C.",,,,,,427-444,"Disaster management and populations with special needs",,2008,7,17981,61b95c91-09b7-4f17-b551-dce616662ae6,"Book Section",/book/2b3cd768-5f2e-4ed4-b75a-df1f2675ecfe
/reference/61c1a267-eb36-4a9b-9a20-d9c8e00e6ea9,https://data.globalchange.gov/reference/61c1a267-eb36-4a9b-9a20-d9c8e00e6ea9,61c1a267-eb36-4a9b-9a20-d9c8e00e6ea9,,"Lazrus, Heather; Morrow, Betty H.; Morss, Rebecca E.; Lazo, Jeffrey K.",10.1175/wcas-d-12-00015.1,1948-8335,2,"Weather, Climate, and Society",,103-109,"Vulnerability beyond stereotypes: Context and agency in hurricane risk communication",4,2012,0,18947,61c1a267-eb36-4a9b-9a20-d9c8e00e6ea9,"Journal Article",/article/10.1175/wcas-d-12-00015.1
/reference/61fd6e32-63d0-4f5a-bbbb-f68262376a37,https://data.globalchange.gov/reference/61fd6e32-63d0-4f5a-bbbb-f68262376a37,61fd6e32-63d0-4f5a-bbbb-f68262376a37,,"Luber, George
Knowlton, Kim
Balbus, John
Frumkin, Howard
Hayden, Mary
Hess, Jeremy
McGeehin, Michael
Sheats, Nicky
Backer, Lorraine
Beard, C. Ben
Ebi, Kristie L.
Maibach, Edward
Ostfeld, Richard S.
Wiedinmyer, Christine
Zielinski-Gutiérrez, Emily
Ziska, Lewis",10.7930/J0PN93H5,,,,,220-256,"Ch. 9: Human Health",,2014,7,4720,61fd6e32-63d0-4f5a-bbbb-f68262376a37,"Book Section",/report/nca3/chapter/human-health
/reference/62152261-5dbb-4723-9506-ef63053863dd,https://data.globalchange.gov/reference/62152261-5dbb-4723-9506-ef63053863dd,62152261-5dbb-4723-9506-ef63053863dd,,"Dunne, John P.; Stouffer, Ronald J.; John, Jasmin G.",10.1038/nclimate1827,1758-6798,,"Nature Climate Change",,563-566,"Reductions in labour capacity from heat stress under climate warming",3,2013,0,18846,62152261-5dbb-4723-9506-ef63053863dd,"Journal Article",/article/10.1038/nclimate1827
/reference/62381da8-71d3-41e7-ac48-ae2df2efd5df,https://data.globalchange.gov/reference/62381da8-71d3-41e7-ac48-ae2df2efd5df,62381da8-71d3-41e7-ac48-ae2df2efd5df,,"Alexander, David A.; Klein, Susan",10.1017/s1049023x00006610,1945-1938,02,"Prehospital and Disaster Medicine",,87-94,"First responders after disasters: A review of stress reactions, at-risk, vulnerability, and resilience factors",24,2009,0,18222,62381da8-71d3-41e7-ac48-ae2df2efd5df,"Journal Article",/article/10.1017/s1049023x00006610
/reference/62654c80-2e49-45f5-b3af-a5faee1effa8,https://data.globalchange.gov/reference/62654c80-2e49-45f5-b3af-a5faee1effa8,62654c80-2e49-45f5-b3af-a5faee1effa8,,NCHS,,,,,,172-173,"Table 49. Disability measures among adults aged 18 and over, by selected characteristics: United States, selected years 1997–2012",,2014,7,18840,62654c80-2e49-45f5-b3af-a5faee1effa8,"Book Section",
/reference/62aab917-bace-4140-9856-3a717dfb04b1,https://data.globalchange.gov/reference/62aab917-bace-4140-9856-3a717dfb04b1,62aab917-bace-4140-9856-3a717dfb04b1,,"Dejmek, J.; Selevan, S. G.; Benes, I.; Solanský, I.; Srám, R. J.",,1552-9924,6,"Environmental Health Perspectives",,475-480,"Fetal growth and maternal exposure to particulate matter during pregnancy",107,1999,0,17835,62aab917-bace-4140-9856-3a717dfb04b1,"Journal Article",/article/pmc-1566587
/reference/62e20319-43be-49d8-95ff-53b0b5454c48,https://data.globalchange.gov/reference/62e20319-43be-49d8-95ff-53b0b5454c48,62e20319-43be-49d8-95ff-53b0b5454c48,"Hurricane Andrew, a category 4 storm, made landfall in South Florida on August 24, 1992, and caused extensive structural and environmental damage. The Dade County Medical Examiner Department investigated 15 deaths directly related to the storm and another 15 natural deaths indirectly related to the storm. The aftermath of the hurricane continued to create circumstances that lead to 32 accidental deaths, five suicides, and four homicides over the next six months. Traffic fatalities due to uncontrolled intersections accounted for one-third of the post-storm accidental deaths. Dyadic deaths (homicide-suicide) doubled in rate for the six months following the storm. The limited number of direct hurricane deaths is attributed to advance storm warnings, its occurrence on a weekend, the storm's passage through less populated areas of the county, and the relatively modest amount of accompanying rainfall.","Lew, E. O.; Wetli, C. V.",,,3,"Journal of Forensic Sciences","Lew, E O Wetli, C V eng 1996/05/01 J Forensic Sci. 1996 May;41(3):449-52.",449-452,"Mortality from Hurricane Andrew",41,1996,0,18218,62e20319-43be-49d8-95ff-53b0b5454c48,"Journal Article",/article/pmid-8656186
/reference/62ef6b9a-2cff-4d18-a60c-5cf67c37b74b,https://data.globalchange.gov/reference/62ef6b9a-2cff-4d18-a60c-5cf67c37b74b,62ef6b9a-2cff-4d18-a60c-5cf67c37b74b,,"Högy, P.
Fangmeier, A.",10.1016/j.jcs.2008.01.006,0733-5210,3,"Journal of Cereal Science",,580-591,"Effects of elevated atmospheric CO2 on grain quality of wheat",48,2008,0,601,62ef6b9a-2cff-4d18-a60c-5cf67c37b74b,"Journal Article",/article/10.1016/j.jcs.2008.01.006
/reference/63048524-9a4f-44a6-9653-a30ed229571f,https://data.globalchange.gov/reference/63048524-9a4f-44a6-9653-a30ed229571f,63048524-9a4f-44a6-9653-a30ed229571f,,CDC,,,,,,,"Reported Cases of Lyme Disease by Year, United States, 1995-2013",,2015,16,18353,63048524-9a4f-44a6-9653-a30ed229571f,"Web Page",/webpage/d5414a68-8e11-4ee4-80d8-52c0ba7b2429
/reference/63153c49-31cc-48cc-8f17-0f8f9b566fac,https://data.globalchange.gov/reference/63153c49-31cc-48cc-8f17-0f8f9b566fac,63153c49-31cc-48cc-8f17-0f8f9b566fac,,"Pfister, G. G.; Walters, S.; Lamarque, J. F.; Fast, J.; Barth, M. C.; Wong, J.; Done, J.; Holland, G.; Bruyère, C. L.",10.1002/2013JD020932,2169-8996,9,"Journal of Geophysical Research: Atmospheres",,5559-5582,"Projections of future summertime ozone over the U.S",119,2014,0,18912,63153c49-31cc-48cc-8f17-0f8f9b566fac,"Journal Article",/article/10.1002/2013JD020932
/reference/6317e269-f6f0-4549-a829-facd00102753,https://data.globalchange.gov/reference/6317e269-f6f0-4549-a829-facd00102753,6317e269-f6f0-4549-a829-facd00102753,,"Shuster, William D.; Lye, Dennis; De La Cruz, Armah; Rhea, Lee K.; O'Connell, Katharine; Kelty, Amanda",10.1111/jawr.12036,1752-1688,4,"Journal of the American Water Resources Association",,753-765,"Assessment of residential rain barrel water quality and use in Cincinnati, Ohio",49,2013,0,19288,6317e269-f6f0-4549-a829-facd00102753,"Journal Article",/article/10.1111/jawr.12036
/reference/638cccd2-9ae4-469e-a1d7-6123abec2780,https://data.globalchange.gov/reference/638cccd2-9ae4-469e-a1d7-6123abec2780,638cccd2-9ae4-469e-a1d7-6123abec2780,,"Voorhees, A. Scott
Fann, Neal
Fulcher, Charles
Dolwick, Patrick
Hubbell, Bryan
Bierwagen, Britta
Morefield, Philip",10.1021/es102820y,0013-936X,4,"Environmental Science & Technology",,1450-1457,"Climate change-related temperature impacts on warm season heat mortality: A proof-of-concept methodology using BenMAP",45,2011,0,4490,638cccd2-9ae4-469e-a1d7-6123abec2780,"Journal Article",/article/10.1021/es102820y
/reference/641ea26c-9ff4-4d9d-9854-b52e34d30e2b,https://data.globalchange.gov/reference/641ea26c-9ff4-4d9d-9854-b52e34d30e2b,641ea26c-9ff4-4d9d-9854-b52e34d30e2b,"Culex pipiens L. (Diptera: Culicidae) and Culex restuans Theobald are the primary enzootic and bridge vectors of West Nile virus in the eastern United States north of 36 degrees latitude. Recent studies of the natural history of these species have implicated catch basins and underground storm drain systems as important larval development sites in urban and suburban locales. Although the presence of larvae in these habitats is well-documented, the influence of abiotic factors on the ecology of Culex larvae developing in them remains poorly understood. Therefore, we examined the effects of multiple abiotic factors and their interactions on abundance of Culex larvae in catch basins in the Chicago, IL, metropolitan area. Low precipitation and high mean daily temperature were associated with high larval abundance, whereas there was no correlation between catch basin depth or water depth and larval abundance. Rainfall was an especially strong predictor of presence or absence of larvae in the summer of 2010, a season with an unusually high precipitation. Regression tree methods were used to build a schematic decision tree model of the interactions among these factors. This practical, visual representation of key predictors of high larval production may be used by local mosquito abatement districts to target limited resources to treat catch basins when they are particularly likely to produce West Nile virus vectors.","Gardner, A. M.; Hamer, G. L.; Hines, A. M.; Newman, C. M.; Walker, E. D.; Ruiz, M. O.",10.1603/ME11073,1938-2928,2,"Journal of Medical Entomology","Gardner, Allison M Hamer, Gabriel L Hines, Alicia M Newman, Christina M Walker, Edward D Ruiz, Marilyn O eng R37 AI021884/AI/NIAID NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. 2012/04/13 06:00 J Med Entomol. 2012 Mar;49(2):270-6.",270-276,"Weather variability affects abundance of larval Culex (Diptera: Culicidae) in storm water catch basins in suburban Chicago",49,2012,0,18002,641ea26c-9ff4-4d9d-9854-b52e34d30e2b,"Journal Article",/article/10.1603/ME11073
/reference/646b4f16-bf9b-4ddf-911b-9fa7efaac098,https://data.globalchange.gov/reference/646b4f16-bf9b-4ddf-911b-9fa7efaac098,646b4f16-bf9b-4ddf-911b-9fa7efaac098,,"Hashizume, Masahiro; Faruque, A. S. G.; Terao, Toru; Yunus, Md; Streatfield, Kim; Yamamoto, Taro; Moji, Kazuhiko",10.1289/ehp.1002302,1552-9924,2,"Environmental Health Perspectives",,239-244,"The Indian Ocean dipole and cholera incidence in Bangladesh: A time-series analysis",119,2011,0,18870,646b4f16-bf9b-4ddf-911b-9fa7efaac098,"Journal Article",/article/10.1289/ehp.1002302