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Your search keyword '"Baumgartner, Jill"' showing total 286 results
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286 results on '"Baumgartner, Jill"'

4. Intra-urban variability of long-term exposure to PM2.5 and NO2 in five cities in Colombia

Author

Rodriguez-Villamizar, Laura A., Rojas, Yurley, Grisales, Sara, Mangones, Sonia C., Cáceres, Jhon J., Agudelo-Castañeda, Dayana M., Herrera, Víctor, Marín, Diana, Jiménez, Juan G. Piñeros, Belalcázar-Ceron, Luis C., Rojas-Sánchez, Oscar Alberto, Ochoa Villegas, Jonathan, López, Leandro, Rojas, Oscar Mauricio, Vicini, María C., Salas, Wilson, Orrego, Ana Zuleima, Castillo, Margarita, Sáenz, Hugo, Hernández, Luis Álvaro, Weichenthal, Scott, Baumgartner, Jill, and Rojas, Néstor Y.

Published
2024
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5. Wildfire, Smoke Exposure, Human Health, and Environmental Justice Need to be Integrated into Forest Restoration and Management

Author

D’Evelyn, Savannah M, Jung, Jihoon, Alvarado, Ernesto, Baumgartner, Jill, Caligiuri, Pete, Hagmann, R Keala, Henderson, Sarah B, Hessburg, Paul F, Hopkins, Sean, Kasner, Edward J, Krawchuk, Meg A, Krenz, Jennifer E, Lydersen, Jamie M, Marlier, Miriam E, Masuda, Yuta J, Metlen, Kerry, Mittelstaedt, Gillian, Prichard, Susan J, Schollaert, Claire L, Smith, Edward B, Stevens, Jens T, Tessum, Christopher W, Reeb-Whitaker, Carolyn, Wilkins, Joseph L, Wolff, Nicholas H, Wood, Leah M, Haugo, Ryan D, and Spector, June T

Subjects
Epidemiology, Public Health, Health Sciences, Lung, Climate-Related Exposures and Conditions, Respiratory, Air Pollution, Child, Environmental Exposure, Environmental Justice, Forests, Humans, Smoke, United States, Wildfires, Wildland fire, Public health, Air quality, Exposure, Ecological restoration, Prescribed burning, Environmental justice, Interdisciplinary, Collaborative partnerships
Abstract

Purpose of reviewIncreasing wildfire size and severity across the western United States has created an environmental and social crisis that must be approached from a transdisciplinary perspective. Climate change and more than a century of fire exclusion and wildfire suppression have led to contemporary wildfires with more severe environmental impacts and human smoke exposure. Wildfires increase smoke exposure for broad swaths of the US population, though outdoor workers and socially disadvantaged groups with limited adaptive capacity can be disproportionally exposed. Exposure to wildfire smoke is associated with a range of health impacts in children and adults, including exacerbation of existing respiratory diseases such as asthma and chronic obstructive pulmonary disease, worse birth outcomes, and cardiovascular events. Seasonally dry forests in Washington, Oregon, and California can benefit from ecological restoration as a way to adapt forests to climate change and reduce smoke impacts on affected communities.Recent findingsEach wildfire season, large smoke events, and their adverse impacts on human health receive considerable attention from both the public and policymakers. The severity of recent wildfire seasons has state and federal governments outlining budgets and prioritizing policies to combat the worsening crisis. This surging attention provides an opportunity to outline the actions needed now to advance research and practice on conservation, economic, environmental justice, and public health interests, as well as the trade-offs that must be considered. Scientists, planners, foresters and fire managers, fire safety, air quality, and public health practitioners must collaboratively work together. This article is the result of a series of transdisciplinary conversations to find common ground and subsequently provide a holistic view of how forest and fire management intersect with human health through the impacts of smoke and articulate the need for an integrated approach to both planning and practice.

Published
2022

17. Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods.

Author

Michal, Victoire, Wakefield, Jon, Schmidt, Alexandra M, Cavanaugh, Alicia, Robinson, Brian E, and Baumgartner, Jill

Subjects
RANDOM forest algorithms, STANDARD of living, METROPOLITAN areas, CONSUMPTION (Economics), PREDICTION models, CONFIDENCE intervals
Abstract

We consider methods for model-based small area estimation when the number of areas with sampled data is a small fraction of the total areas for which estimates are required. Abundant auxiliary information is available from the survey for all the sampled areas. Further, through an external source, there is information for all areas. The goal is to use auxiliary variables to predict the outcome of interest for all areas. We compare areal-level random forests and LASSO approaches to a frequentist forward variable selection approach and a Bayesian shrinkage method using a horseshoe prior. Further, to measure the uncertainty of estimates obtained from random forests and the LASSO, we propose a modification of the split conformal procedure that relaxes the assumption of exchangeable data. We show that the proposed method yields intervals with the correct coverage rate and this is confirmed through a simulation study. This work is motivated by Ghanaian data available from the sixth Ghana Living Standards Survey (GLSS) and the 2010 Population and Housing Census, in the Greater Accra Metropolitan Area (GAMA) region, which comprises eight districts that are further divided into enumeration areas (EAs). We estimate the areal mean household log consumption using both datasets. The outcome variable is measured only in the GLSS for 3 percent of all the EAs (136 out of 5019) and 174 potential covariates are available in both datasets. In the application, among the four modeling methods considered, the Bayesian shrinkage performed the best in terms of bias, mean squared error (MSE), and prediction interval coverages and scores, as assessed through a cross-validation study. We find substantial between-area variation with the estimated log consumption showing a 1.3-fold variation across the GAMA region. The western areas are the poorest while the Accra Metropolitan Area district has the richest areas. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Nitrogen oxides (NO and NO2) pollution in the Accra metropolis: Spatiotemporal patterns and the role of meteorology

Author

Wang, Jiayuan, Alli, Abosede Sarah, Clark, Sierra, Hughes, Allison, Ezzati, Majid, Beddows, Andrew, Vallarino, Jose, Nimo, James, Bedford-Moses, Josephine, Baah, Solomon, Owusu, George, Agyemang, Ernest, Kelly, Frank, Barratt, Benjamin, Beevers, Sean, Agyei-Mensah, Samuel, Baumgartner, Jill, Brauer, Michael, and Arku, Raphael E.

Published
2022
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23. Characterisation of urban environment and activity across space and time using street images and deep learning in Accra

Author

Nathvani, Ricky, Clark, Sierra N., Muller, Emily, Alli, Abosede S., Bennett, James E., Nimo, James, Moses, Josephine Bedford, Baah, Solomon, Metzler, A. Barbara, Brauer, Michael, Suel, Esra, Hughes, Allison F., Rashid, Theo, Gemmell, Emily, Moulds, Simon, Baumgartner, Jill, Toledano, Mireille, Agyemang, Ernest, Owusu, George, Agyei-Mensah, Samuel, Arku, Raphael E., and Ezzati, Majid

Published
2022
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33. Aligning evidence generation and use across health, development, and environment

Author

Tallis, Heather, Kreis, Katharine, Olander, Lydia, Ringler, Claudia, Ameyaw, David, Borsuk, Mark E, Fletschner, Diana, Game, Edward, Gilligan, Daniel O, Jeuland, Marc, Kennedy, Gina, Masuda, Yuta J, Mehta, Sumi, Miller, Nicholas, Parker, Megan, Pollino, Carmel, Rajaratnam, Julie, Wilkie, David, Zhang, Wei, Ahmed, Selena, Ajayi, Oluyede C, Alderman, Harold, Arhonditsis, George, Azevedo, Ines, Badola, Ruchi, Bailis, Rob, Balvanera, Patricia, Barbour, Emily, Bardini, Mark, Barton, David N, Baumgartner, Jill, Benton, Tim G, Bobrow, Emily, Bossio, Deborah, Bostrom, Ann, Braimoh, Ademola, Brondizio, Eduardo, Brown, Joe, Bryant, Benjamin P, Calder, Ryan SD, Chaplin-Kramer, Becky, Cullen, Alison, DeMello, Nicole, Dickinson, Katherine L, Ebi, Kristie L, Eves, Heather E, Fanzo, Jessica, Ferraro, Paul J, Fisher, Brendan, Frongillo, Edward A, Galford, Gillian, Garrity, Dennis, Gatere, Lydiah, Grieshop, Andrew P, Grigg, Nicola J, Groves, Craig, Gugerty, Mary Kay, Hamm, Michael, Hou, Xiaoyue, Huang, Cindy, Imhoff, Marc, Jack, Darby, Jones, Andrew D, Kelsey, Rodd, Kothari, Monica, Kumar, Ritesh, Lachat, Carl, Larsen, Ashley, Lawrence, Mark, DeClerck, Fabrice, Levin, Phillip S, Mabaya, Edward, Gibson, Jacqueline MacDonald, McDonald, Robert I, Mace, Georgina, Maertens, Ricardo, Mangale, Dorothy I, Martino, Robin, Mason, Sara, Mehta, Lyla, Meinzen-Dick, Ruth, Merz, Barbara, Msangi, Siwa, Murray, Grant, Murray, Kris A, Naude, Celeste E, Newlands, Nathaniel K, Nkonya, Ephraim, Peterman, Amber, Petruney, Tricia, Possingham, Hugh, Puri, Jyotsna, Remans, Roseline, Remlinger, Lisa, Ricketts, Taylor H, Reta, Bedilu, Robinson, Brian E, Roe, Dilys, Rosenthal, Joshua, Shen, Guofeng, Shindell, Drew, Stewart-Koster, Ben, Sunderland, Terry, Sutherland, William J, Tewksbury, Josh, Wasser, Heather, Wear, Stephanie, Webb, Chris, Whittington, Dale, Wilkerson, Marit, Wittmer, Heidi, Wood, Benjamin DK, Wood, Stephen, Wu, Joyce, Yadama, Gautam, and Zobrist, Stephanie

Published
2019
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35. Iran in transition

Author

Danaei, Goodarz, Farzadfar, Farshad, Kelishadi, Roya, Rashidian, Arash, Rouhani, Omid M, Ahmadnia, Shirin, Ahmadvand, Alireza, Arabi, Mandana, Ardalan, Ali, Arhami, Mohammad, Azizi, Mohammad Hossein, Bahadori, Moslem, Baumgartner, Jill, Beheshtian, Arash, Djalalinia, Shirin, Doshmangir, Leila, Haghdoost, Ali Akbar, Haghshenas, Rosa, Hosseinpoor, Ahmad Reza, Islami, Farhad, Kamangar, Farin, Khalili, Davood, Madani, Kaveh, Masoumi-Asl, Hossein, Mazyaki, Ali, Mirchi, Ali, Moradi, Ehsan, Nayernouri, Touraj, Niemeier, Debbie, Omidvari, Amir-Houshang, Peykari, Niloofar, Pishgar, Farhad, Qorbani, Mostafa, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Tehrani, Fahimeh Ramezani, Rezaei, Nazila, Shahraz, Saeid, Takian, Amirhossein, Tootee, Ali, Ezzati, Majid, Jamshidi, Hamid Reza, Larijani, Bagher, Majdzadeh, Reza, and Malekzadeh, Reza

Published
2019
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