20 results on '"Chin, Elizabeth T."'
Search Results
2. Potential for allocative harm in an environmental justice data tool
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Huynh, Benjamin Q., Chin, Elizabeth T., Koenecke, Allison, Ouyang, Derek, Ho, Daniel E., Kiang, Mathew V., and Rehkopf, David H.
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Statistics - Applications ,Computer Science - Computers and Society - Abstract
Neighborhood-level screening algorithms are increasingly being deployed to inform policy decisions. We evaluate one such algorithm, CalEnviroScreen - designed to promote environmental justice and used to guide hundreds of millions of dollars in public funding annually - assessing its potential for allocative harm. We observe the model to be sensitive to subjective model decisions, with 16% of tracts potentially changing designation, as well as financially consequential, estimating the effect of its positive designations as a 104% (62-145%) increase in funding, equivalent to \$2.08 billion (\$1.56-2.41 billion) over four years. We also observe allocative tradeoffs and susceptibility to manipulation, raising ethical concerns. We recommend incorporating sensitivity analyses to mitigate allocative harm and accountability mechanisms to prevent misuse.
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- 2023
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3. Public health impacts of an imminent Red Sea oil spill
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Huynh, Benjamin Q, Kwong, Laura H, Kiang, Mathew V, Chin, Elizabeth T, Mohareb, Amir M, Jumaan, Aisha O, Basu, Sanjay, Geldsetzer, Pascal, Karaki, Fatima M, and Rehkopf, David H
- Abstract
The possibility of a massive oil spill in the Red Sea is increasingly likely. The Safer, a deteriorating oil tanker containing 1.1 million barrels of oil, has been deserted near the coast of Yemen since 2015 and threatens environmental catastrophe to a country presently in a humanitarian crisis. Here, we model the immediate public health impacts of a simulated spill. We estimate that all of Yemen's imported fuel through its key Red Sea ports would be disrupted and that the anticipated spill could disrupt clean-water supply equivalent to the daily use of 9.0-9.9 million people, food supply for 5.7-8.4 million people and 93-100% of Yemen's Red Sea fisheries. We also estimate an increased risk of cardiovascular hospitalization from pollution ranging from 5.8 to 42.0% over the duration of the spill. The spill and its potentially disastrous impacts remain entirely preventable through offloading the oil. Our results stress the need for urgent action to avert this looming disaster.
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- 2021
4. Frequency of Routine Testing for Coronavirus Disease 2019 (COVID-19) in High-risk Healthcare Environments to Reduce Outbreaks
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Chin, Elizabeth T, Huynh, Benjamin Q, Chapman, Lloyd AC, Murrill, Matthew, Basu, Sanjay, and Lo, Nathan C
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Biomedical and Clinical Sciences ,Clinical Sciences ,Emerging Infectious Diseases ,Prevention ,Infectious Diseases ,Good Health and Well Being ,COVID-19 ,Delivery of Health Care ,Disease Outbreaks ,Health Facilities ,Humans ,SARS-CoV-2 ,infection control ,epidemiology ,pandemic ,SARS-CoV-2 ,Biological Sciences ,Medical and Health Sciences ,Microbiology ,Clinical sciences - Abstract
Routine asymptomatic testing strategies for COVID-19 have been proposed to prevent outbreaks in high-risk healthcare environments. We used simulation modeling to evaluate the optimal frequency of viral testing. We found that routine testing substantially reduces risk of outbreaks, but may need to be as frequent as twice weekly.
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- 2021
5. Routine asymptomatic testing strategies for airline travel during the COVID-19 pandemic: a simulation study.
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Kiang, Mathew V, Chin, Elizabeth T, Huynh, Benjamin Q, Chapman, Lloyd AC, Rodríguez-Barraquer, Isabel, Greenhouse, Bryan, Rutherford, George W, Bibbins-Domingo, Kirsten, Havlir, Diane, Basu, Sanjay, and Lo, Nathan C
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Humans ,Diagnostic Tests ,Routine ,Carrier State ,Travel ,Aircraft ,Computer Simulation ,Asymptomatic Infections ,Pandemics ,COVID-19 ,SARS-CoV-2 ,COVID-19 Testing ,Prevention ,Biodefense ,Emerging Infectious Diseases ,Vaccine Related ,Infectious Diseases ,Infection ,Good Health and Well Being ,Clinical Sciences ,Medical Microbiology ,Public Health and Health Services ,Microbiology - Abstract
BackgroundRoutine viral testing strategies for SARS-CoV-2 infection might facilitate safe airline travel during the COVID-19 pandemic and mitigate global spread of the virus. However, the effectiveness of these test-and-travel strategies to reduce passenger risk of SARS-CoV-2 infection and population-level transmission remains unknown.MethodsIn this simulation study, we developed a microsimulation of SARS-CoV-2 transmission in a cohort of 100 000 US domestic airline travellers using publicly available data on COVID-19 clinical cases and published natural history parameters to assign individuals one of five health states of susceptible to infection, latent period, early infection, late infection, or recovered. We estimated a per-day risk of infection with SARS-CoV-2 corresponding to a daily incidence of 150 infections per 100 000 people. We assessed five testing strategies: (1) anterior nasal PCR test within 3 days of departure, (2) PCR within 3 days of departure and 5 days after arrival, (3) rapid antigen test on the day of travel (assuming 90% of the sensitivity of PCR during active infection), (4) rapid antigen test on the day of travel and PCR test 5 days after arrival, and (5) PCR test 5 days after arrival. Strategies 2 and 4 included a 5-day quarantine after arrival. The travel period was defined as 3 days before travel to 2 weeks after travel. Under each scenario, individuals who tested positive before travel were not permitted to travel. The primary study outcome was cumulative number of infectious days in the cohort over the travel period without isolation or quarantine (population-level transmission risk), and the key secondary outcome was the number of infectious people detected on the day of travel (passenger risk of infection).FindingsWe estimated that in a cohort of 100 000 airline travellers, in a scenario with no testing or screening, there would be 8357 (95% uncertainty interval 6144-12831) infectious days with 649 (505-950) actively infectious passengers on the day of travel. The pre-travel PCR test reduced the number of infectious days from 8357 to 5401 (3917-8677), a reduction of 36% (29-41) compared with the base case, and identified 569 (88% [76-92]) of 649 actively infectious travellers on the day of flight; the addition of post-travel quarantine and PCR reduced the number of infectious days to 2520 days (1849-4158), a reduction of 70% (64-75) compared with the base case. The rapid antigen test on the day of travel reduced the number of infectious days to 5674 (4126-9081), a reduction of 32% (26-38) compared with the base case, and identified 560 (86% [83-89]) actively infectious travellers; the addition of post-travel quarantine and PCR reduced the number of infectious days to 3124 (2356-495), a reduction of 63% (58-66) compared with the base case. The post-travel PCR alone reduced the number of infectious days to 4851 (3714-7679), a reduction of 42% (35-49) compared with the base case.InterpretationRoutine asymptomatic testing for SARS-CoV-2 before travel can be an effective strategy to reduce passenger risk of infection during travel, although abbreviated quarantine with post-travel testing is probably needed to reduce population-level transmission due to importation of infection when travelling from a high to low incidence setting.FundingUniversity of California, San Francisco.
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- 2021
6. Pathologic gene network rewiring implicates PPP1R3A as a central regulator in pressure overload heart failure
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Cordero, Pablo, Parikh, Victoria N, Chin, Elizabeth T, Erbilgin, Ayca, Gloudemans, Michael J, Shang, Ching, Huang, Yong, Chang, Alex C, Smith, Kevin S, Dewey, Frederick, Zaleta, Kathia, Morley, Michael, Brandimarto, Jeff, Glazer, Nicole, Waggott, Daryl, Pavlovic, Aleksandra, Zhao, Mingming, Moravec, Christine S, Tang, WH Wilson, Skreen, Jamie, Malloy, Christine, Hannenhalli, Sridhar, Li, Hongzhe, Ritter, Scott, Li, Mingyao, Bernstein, Daniel, Connolly, Andrew, Hakonarson, Hakon, Lusis, Aldons J, Margulies, Kenneth B, Depaoli-Roach, Anna A, Montgomery, Stephen B, Wheeler, Matthew T, Cappola, Thomas, and Ashley, Euan A
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Biological Sciences ,Genetics ,Human Genome ,Biotechnology ,Heart Disease ,Cardiovascular ,2.1 Biological and endogenous factors ,Aetiology ,Good Health and Well Being ,Animals ,Benzeneacetamides ,Cells ,Cultured ,Datasets as Topic ,Disease Models ,Animal ,Female ,Gene Expression Profiling ,Gene Expression Regulation ,Gene Knockdown Techniques ,Gene Regulatory Networks ,Genome-Wide Association Study ,Heart Failure ,Humans ,Male ,Metabolic Networks and Pathways ,Mice ,Mice ,Knockout ,Middle Aged ,Myocytes ,Cardiac ,Phosphoprotein Phosphatases ,Primary Cell Culture ,Pyridines ,Quantitative Trait Loci ,Rats ,Rats ,Sprague-Dawley ,Sequence Analysis ,RNA - Abstract
Heart failure is a leading cause of mortality, yet our understanding of the genetic interactions underlying this disease remains incomplete. Here, we harvest 1352 healthy and failing human hearts directly from transplant center operating rooms, and obtain genome-wide genotyping and gene expression measurements for a subset of 313. We build failing and non-failing cardiac regulatory gene networks, revealing important regulators and cardiac expression quantitative trait loci (eQTLs). PPP1R3A emerges as a regulator whose network connectivity changes significantly between health and disease. RNA sequencing after PPP1R3A knockdown validates network-based predictions, and highlights metabolic pathway regulation associated with increased cardiomyocyte size and perturbed respiratory metabolism. Mice lacking PPP1R3A are protected against pressure-overload heart failure. We present a global gene interaction map of the human heart failure transition, identify previously unreported cardiac eQTLs, and demonstrate the discovery potential of disease-specific networks through the description of PPP1R3A as a central regulator in heart failure.
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- 2019
7. Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies
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Ryckman, Theresa, Chin, Elizabeth T, Prince, Lea, Leidner, David, Long, Elizabeth, Studdert, David M, Salomon, Joshua A, Alarid-Escudero, Fernando, Andrews, Jason R, and Goldhaber-Fiebert, Jeremy D
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- 2021
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8. COVID-19 in the California State Prison System: an Observational Study of Decarceration, Ongoing Risks, and Risk Factors
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Chin, Elizabeth T., Ryckman, Theresa, Prince, Lea, Leidner, David, Alarid-Escudero, Fernando, Andrews, Jason R., Salomon, Joshua A., Studdert, David M., and Goldhaber-Fiebert, Jeremy D.
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- 2021
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9. Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise
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Adkins, Joshua N., Amar, David, Dasari, Surendra, Drugan, Jonelle K., Evans, Charles R., Fernandez, Facundo M., Li, Yafeng, Lindholm, Malene E., Nogiec, Christopher D., Radom-Aizik, Shlomit, Sanford, James A., Schenk, Simon, Snyder, Michael P., Tomlinson, Lyl, Tracy, Russell P., Trappe, Scott, Vanderboom, Patrick, Walsh, Martin J., Lee Alekel, D., Bekirov, Iddil, Boyce, Amanda T., Boyington, Josephine, Fleg, Jerome L., Joseph, Lyndon J.O., Laughlin, Maren R., Maruvada, Padma, Morris, Stephanie A., McGowan, Joan A., Nierras, Concepcion, Pai, Vinay, Peterson, Charlotte, Ramos, Ed, Roary, Mary C., Williams, John P., Xia, Ashley, Cornell, Elaine, Rooney, Jessica, Miller, Michael E., Ambrosius, Walter T., Rushing, Scott, Stowe, Cynthia L., Jack Rejeski, W., Nicklas, Barbara J., Pahor, Marco, Lu, Ching-ju, Trappe, Todd, Chambers, Toby, Raue, Ulrika, Lester, Bridget, Bergman, Bryan C., Bessesen, David H., Jankowski, Catherine M., Kohrt, Wendy M., Melanson, Edward L., Moreau, Kerrie L., Schauer, Irene E., Schwartz, Robert S., Kraus, William E., Slentz, Cris A., Huffman, Kim M., Johnson, Johanna L., Willis, Leslie H., Kelly, Leslie, Houmard, Joseph A., Dubis, Gabriel, Broskey, Nick, Goodpaster, Bret H., Sparks, Lauren M., Coen, Paul M., Cooper, Dan M., Haddad, Fadia, Rankinen, Tuomo, Ravussin, Eric, Johannsen, Neil, Harris, Melissa, Jakicic, John M., Newman, Anne B., Forman, Daniel D., Kershaw, Erin, Rogers, Renee J., Nindl, Bradley C., Page, Lindsay C., Stefanovic-Racic, Maja, Barr, Susan L., Rasmussen, Blake B., Moro, Tatiana, Paddon-Jones, Doug, Volpi, Elena, Spratt, Heidi, Musi, Nicolas, Espinoza, Sara, Patel, Darpan, Serra, Monica, Gelfond, Jonathan, Burns, Aisling, Bamman, Marcas M., Buford, Thomas W., Cutter, Gary R., Bodine, Sue C., Esser, Karyn, Farrar, Rodger P., Goodyear, Laurie J., Hirshman, Michael F., Albertson, Brent G., Qian, Wei-Jun, Piehowski, Paul, Gritsenko, Marina A., Monore, Matthew E., Petyuk, Vladislav A., McDermott, Jason E., Hansen, Joshua N., Hutchison, Chelsea, Moore, Samuel, Gaul, David A., Clish, Clary B., Avila-Pacheco, Julian, Dennis, Courtney, Kellis, Manolis, Carr, Steve, Jean-Beltran, Pierre M., Keshishian, Hasmik, Mani, D.R., Clauser, Karl, Krug, Karsten, Mundorff, Charlie, Pearce, Cadence, Ivanova, Anna A., Ortlund, Eric A., Maner-Smith, Kristal, Uppal, Karan, Zhang, Tiantian, Sealfon, Stuart C., Zaslavsky, Elena, Nair, Venugopalan, Li, SiDe, Jain, Nimisha, Ge, YongChao, Sun, Yifei, Nudelman, German, Ruf-zamojski, Frederique, Smith, Gregory, Pincas, Nhanna, Rubenstein, Aliza, Anne Amper, Mary, Seenarine, Nitish, Lappalainen, Tuuli, Lanza, Ian R., Sreekumaran Nair, K., Klaus, Katherine, Montgomery, Stephen B., Smith, Kevin S., Gay, Nicole R., Zhao, Bingqing, Hung, Chia-Jiu, Zebarjadi, Navid, Balliu, Brunilda, Fresard, Laure, Burant, Charles F., Li, Jun Z., Kachman, Maureen, Soni, Tanu, Raskind, Alexander B., Gerszten, Robert, Robbins, Jeremy, Ilkayeva, Olga, Muehlbauer, Michael J., Newgard, Christopher B., Ashley, Euan A., Wheeler, Matthew T., Jimenez-Morales, David, Raja, Archana, Dalton, Karen P., Zhen, Jimmy, Suk Kim, Young, Christle, Jeffrey W., Marwaha, Shruti, Chin, Elizabeth T., Hershman, Steven G., Hastie, Trevor, Tibshirani, Robert, Rivas, Manuel A., and Fernández, Facundo M.
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- 2020
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10. Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
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Chin, Elizabeth T., Huynh, Benjamin Q., Lo, Nathan C., Hastie, Trevor, and Basu, Sanjay
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- 2020
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11. Patient-Specific Induced Pluripotent Stem Cells Implicate Intrinsic Impaired Contractility in Hypoplastic Left Heart Syndrome
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Paige, Sharon L., Galdos, Francisco X., Lee, Soah, Chin, Elizabeth T., Ranjbarvaziri, Sara, Feyen, Dries A.M., Darsha, Adrija K., Xu, Sidra, Ryan, Julia A., Beck, Aimee L., Qureshi, M. Yasir, Miao, Yifei, Gu, Mingxia, Bernstein, Daniel, Nelson, Timothy J., Mercola, Mark, Rabinovitch, Marlene, Ashley, Euan A., Parikh, Victoria N., and Wu, Sean M.
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- 2020
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12. Frequency of Routine Testing for Coronavirus Disease 2019 (COVID-19) in High-risk Healthcare Environments to Reduce Outbreaks
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Chin, Elizabeth T., Huynh, Benjamin Q., Chapman, Lloyd A.C., Murrill, Matthew, Basu, Sanjay, Lo, Nathan C., Chin, Elizabeth T., Huynh, Benjamin Q., Chapman, Lloyd A.C., Murrill, Matthew, Basu, Sanjay, and Lo, Nathan C.
- Abstract
Routine asymptomatic testing strategies for COVID-19 have been proposed to prevent outbreaks in high-risk healthcare environments. We used simulation modeling to evaluate the optimal frequency of viral testing. We found that routine testing substantially reduces risk of outbreaks, but may need to be as frequent as twice weekly.
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- 2021
13. The Household Secondary Attack Rate of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Rapid Review
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Fung, Hannah F, Martinez, Leonardo, Alarid-Escudero, Fernando, Salomon, Joshua A, Studdert, David M, Andrews, Jason R, Goldhaber-Fiebert, Jeremy D, Chin, Elizabeth T, Claypool, Anneke L, Fernandez, Mariana, Gracia, Valeria, Luviano, Andrea, Rosales, Regina Isabel Medina, Reitsma, Marissa, and Ryckman, Theresa
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Microbiology (medical) ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,medicine.disease_cause ,household transmission ,Major Article ,medicine ,Humans ,Transmission risks and rates ,Aged ,Coronavirus ,Family Characteristics ,Motivation ,SARS-CoV-2 ,Transmission (medicine) ,business.industry ,Incidence ,Incidence (epidemiology) ,Public health ,COVID-19 ,Confidence interval ,AcademicSubjects/MED00290 ,secondary attack ,Infectious Diseases ,business ,testing frequency ,Demography - Abstract
BackgroundAlthough much of the public health effort to combat coronavirus disease 2019 (COVID-19) has focused on disease control strategies in public settings, transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within households remains an important problem. The nature and determinants of household transmission are poorly understood.MethodsTo address this gap, we gathered and analyzed data from 22 published and prepublished studies from 10 countries (20 291 household contacts) that were available through 2 September 2020. Our goal was to combine estimates of the SARS-CoV-2 household secondary attack rate (SAR) and to explore variation in estimates of the household SAR.ResultsThe overall pooled random-effects estimate of the household SAR was 17.1% (95% confidence interval [CI], 13.7–21.2%). In study-level, random-effects meta-regressions stratified by testing frequency (1 test, 2 tests, >2 tests), SAR estimates were 9.2% (95% CI, 6.7–12.3%), 17.5% (95% CI, 13.9–21.8%), and 21.3% (95% CI, 13.8–31.3%), respectively. Household SARs tended to be higher among older adult contacts and among contacts of symptomatic cases.ConclusionsThese findings suggest that SARs reported using a single follow-up test may be underestimated, and that testing household contacts of COVID-19 cases on multiple occasions may increase the yield for identifying secondary cases.
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- 2020
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14. Uptake of COVID-19 Vaccination Among Frontline Workers in California State Prisons
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Prince, Lea, primary, Long, Elizabeth, additional, Studdert, David M., additional, Leidner, David, additional, Chin, Elizabeth T., additional, Andrews, Jason R., additional, Salomon, Joshua A., additional, and Goldhaber-Fiebert, Jeremy D., additional
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- 2022
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15. Trends in Decarceration, COVID-19 Cases, and SARS-CoV-2 Testing in US Immigration Detention Centers From September 2020 to August 2021
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Uppal, Nishant, primary, Chin, Elizabeth T., additional, Erfani, Parsa, additional, Sandoval, Raquel Sofia, additional, Lee, Caroline H., additional, Mishori, Ranit, additional, and Peeler, Katherine R., additional
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- 2022
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16. Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise
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Sanford, James A., primary, Nogiec, Christopher D., additional, Lindholm, Malene E., additional, Adkins, Joshua N., additional, Amar, David, additional, Dasari, Surendra, additional, Drugan, Jonelle K., additional, Fernández, Facundo M., additional, Radom-Aizik, Shlomit, additional, Schenk, Simon, additional, Snyder, Michael P., additional, Tracy, Russell P., additional, Vanderboom, Patrick, additional, Trappe, Scott, additional, Walsh, Martin J., additional, Evans, Charles R., additional, Fernandez, Facundo M., additional, Li, Yafeng, additional, Sanford, James A., additional, Tomlinson, Lyl, additional, Lee Alekel, D., additional, Bekirov, Iddil, additional, Boyce, Amanda T., additional, Boyington, Josephine, additional, Fleg, Jerome L., additional, Joseph, Lyndon J.O., additional, Laughlin, Maren R., additional, Maruvada, Padma, additional, Morris, Stephanie A., additional, McGowan, Joan A., additional, Nierras, Concepcion, additional, Pai, Vinay, additional, Peterson, Charlotte, additional, Ramos, Ed, additional, Roary, Mary C., additional, Williams, John P., additional, Xia, Ashley, additional, Cornell, Elaine, additional, Rooney, Jessica, additional, Miller, Michael E., additional, Ambrosius, Walter T., additional, Rushing, Scott, additional, Stowe, Cynthia L., additional, Jack Rejeski, W., additional, Nicklas, Barbara J., additional, Pahor, Marco, additional, Lu, Ching-ju, additional, Trappe, Todd, additional, Chambers, Toby, additional, Raue, Ulrika, additional, Lester, Bridget, additional, Bergman, Bryan C., additional, Bessesen, David H., additional, Jankowski, Catherine M., additional, Kohrt, Wendy M., additional, Melanson, Edward L., additional, Moreau, Kerrie L., additional, Schauer, Irene E., additional, Schwartz, Robert S., additional, Kraus, William E., additional, Slentz, Cris A., additional, Huffman, Kim M., additional, Johnson, Johanna L., additional, Willis, Leslie H., additional, Kelly, Leslie, additional, Houmard, Joseph A., additional, Dubis, Gabriel, additional, Broskey, Nick, additional, Goodpaster, Bret H., additional, Sparks, Lauren M., additional, Coen, Paul M., additional, Cooper, Dan M., additional, Haddad, Fadia, additional, Rankinen, Tuomo, additional, Ravussin, Eric, additional, Johannsen, Neil, additional, Harris, Melissa, additional, Jakicic, John M., additional, Newman, Anne B., additional, Forman, Daniel D., additional, Kershaw, Erin, additional, Rogers, Renee J., additional, Nindl, Bradley C., additional, Page, Lindsay C., additional, Stefanovic-Racic, Maja, additional, Barr, Susan L., additional, Rasmussen, Blake B., additional, Moro, Tatiana, additional, Paddon-Jones, Doug, additional, Volpi, Elena, additional, Spratt, Heidi, additional, Musi, Nicolas, additional, Espinoza, Sara, additional, Patel, Darpan, additional, Serra, Monica, additional, Gelfond, Jonathan, additional, Burns, Aisling, additional, Bamman, Marcas M., additional, Buford, Thomas W., additional, Cutter, Gary R., additional, Bodine, Sue C., additional, Esser, Karyn, additional, Farrar, Rodger P., additional, Goodyear, Laurie J., additional, Hirshman, Michael F., additional, Albertson, Brent G., additional, Qian, Wei-Jun, additional, Piehowski, Paul, additional, Gritsenko, Marina A., additional, Monore, Matthew E., additional, Petyuk, Vladislav A., additional, McDermott, Jason E., additional, Hansen, Joshua N., additional, Hutchison, Chelsea, additional, Moore, Samuel, additional, Gaul, David A., additional, Clish, Clary B., additional, Avila-Pacheco, Julian, additional, Dennis, Courtney, additional, Kellis, Manolis, additional, Carr, Steve, additional, Jean-Beltran, Pierre M., additional, Keshishian, Hasmik, additional, Mani, D.R., additional, Clauser, Karl, additional, Krug, Karsten, additional, Mundorff, Charlie, additional, Pearce, Cadence, additional, Ivanova, Anna A., additional, Ortlund, Eric A., additional, Maner-Smith, Kristal, additional, Uppal, Karan, additional, Zhang, Tiantian, additional, Sealfon, Stuart C., additional, Zaslavsky, Elena, additional, Nair, Venugopalan, additional, Li, SiDe, additional, Jain, Nimisha, additional, Ge, YongChao, additional, Sun, Yifei, additional, Nudelman, German, additional, Ruf-zamojski, Frederique, additional, Smith, Gregory, additional, Pincas, Nhanna, additional, Rubenstein, Aliza, additional, Anne Amper, Mary, additional, Seenarine, Nitish, additional, Lappalainen, Tuuli, additional, Lanza, Ian R., additional, Sreekumaran Nair, K., additional, Klaus, Katherine, additional, Montgomery, Stephen B., additional, Smith, Kevin S., additional, Gay, Nicole R., additional, Zhao, Bingqing, additional, Hung, Chia-Jiu, additional, Zebarjadi, Navid, additional, Balliu, Brunilda, additional, Fresard, Laure, additional, Burant, Charles F., additional, Li, Jun Z., additional, Kachman, Maureen, additional, Soni, Tanu, additional, Raskind, Alexander B., additional, Gerszten, Robert, additional, Robbins, Jeremy, additional, Ilkayeva, Olga, additional, Muehlbauer, Michael J., additional, Newgard, Christopher B., additional, Ashley, Euan A., additional, Wheeler, Matthew T., additional, Jimenez-Morales, David, additional, Raja, Archana, additional, Dalton, Karen P., additional, Zhen, Jimmy, additional, Suk Kim, Young, additional, Christle, Jeffrey W., additional, Marwaha, Shruti, additional, Chin, Elizabeth T., additional, Hershman, Steven G., additional, Hastie, Trevor, additional, Tibshirani, Robert, additional, and Rivas, Manuel A., additional
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- 2020
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17. Additional file 2 of Projected geographic disparities in healthcare worker absenteeism from COVID-19 school closures and the economic feasibility of child care subsidies: a simulation study
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Chin, Elizabeth T., Huynh, Benjamin Q., Lo, Nathan C., Hastie, Trevor, and Basu, Sanjay
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Additional file 2 Figure S1: Sensitivity analysis for economic feasibility analysis. Figure S2: Sensitivity of the proportion of counties with ω
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- 2020
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18. Suicide rates of migrants in United States immigration detention (2010-2020).
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Erfani, Parsa, Chin, Elizabeth T., Lee, Caroline H., Uppal, Nishant, and Peeler, Katherine R.
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SUICIDE statistics , *CAUSES of death , *DEATH rate , *COHORT analysis , *EMIGRATION & immigration - Abstract
Objective: We determined the annual suicide rate of migrants detained by U.S. Immigration and Customs Enforcement (ICE) in the past decade. Methods: We performed a retrospective cohort analysis of the annual suicide rates for ICE detainees from federal fiscal years (FY) 2010-2020. Death date and cause of death were directly extracted from publicly available ICE Freedom of Information Act (FOIA) Library, ICE death reports, and ICE press releases. Annual suicide rates were calculated as suicides per 100,000 person-years and suicides per 100,000 admissions. Results: From 2010-2019, the mean number of suicides per 100,000 person-years was 3.3 (standard deviation (SD): 2.6). In 2020, the suicide rate increased 5.3 times the prior 10-year average to 17.4 suicides per 100,000 personyears. When calculating suicide rate based on admissions per FY, the mean number of suicides from 2010-2019 per 100,000 admissions was 0.3 (SD: 0.3). In 2020, the suicide rate increased 11.0 times the prior 10-year average to 3.4 suicides per 100,000 admissions. Conclusion: In 2020, the detainee suicide rate increased substantially compared to the past decade. This may point to a worsening mental health crisis in ICE detention. [ABSTRACT FROM AUTHOR]
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- 2021
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19. An Exploratory Study of the Moderating Effect of Religious Service Attendance on the Relationship Between Discrimination and Suicidal Behaviors in an Immigrant Sample.
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Mason, Karen, Rando, Anthony, Im, Susanna, De Souza Jr., Valter F., Rynbrandt, Bellanira, O'Shell, Dylan, and Oliveira, Bianca Floresde
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SUICIDE risk factors ,CONVENIENCE sampling (Statistics) ,RELIGIOUS communities ,RELIGIOUS identity ,SUICIDE prevention - Abstract
This cross-sectional study explored the moderating effect of religious service attendance on the relationship between discrimination and suicidal behaviors in a community sample of immigrants. A convenience sample of 348 individuals with immigrant experience to the U.S. completed a survey in either English, Portuguese or Spanish. The relationship between discrimination and suicidal behaviors was moderated by religious service attendance, equipping help from religious communities (RCs) and not having experienced discrimination in RCs. Other protections included being born outside the U.S. First-generation immigrants also reported less discrimination, which was a risk factor for suicidal behaviors. Other risk factors were refugee status, higher acculturation, discrimination in RCs, and certain types of help from RCs. Help that equipped them to navigate the U.S. system was associated with lower suicide risk. Community partners and RCs can help immigrants by collaborating to promote immigrant mental health because of the high religious affiliation of immigrants. [ABSTRACT FROM AUTHOR]
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- 2024
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20. Household Transmission of SARS-CoV-2 in Bhutan.
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Jatsho, Jimba, Pelzom, Dorji, Dorji, Sithar, and Pelzang, Thinley
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HOME environment ,COVID-19 ,SCIENTIFIC observation ,CONFIDENCE intervals ,RETROSPECTIVE studies ,INFECTIOUS disease transmission ,DESCRIPTIVE statistics ,DISEASE prevalence ,DEMOGRAPHY ,DISEASE risk factors - Abstract
Introduction. The transmission trend of SARS-CoV-2 is continuously evolving. Understanding the dynamics in different settings is crucial for any effective containment measures. We aimed to study the characteristics of household transmission of SARS-CoV-2 in Bhutanese households by determining the transmissibility within household contacts of confirmed COVID-19 index cases and their factors of infectivity. Methods. We conducted a retrospective observational study on household transmission in 306 household contacts of 93 COVID-19 positive index cases diagnosed from April 16, 2021, to June 30, 2021. A pro forma was used to collect data on the epidemiological, demographic, and clinical profile of all recruited individuals. Secondary attack rates (SAR) were calculated, and risk factors for transmission were estimated. Results. 180 of 306 household contacts developed secondary household transmission (SAR 58.8%; 95% CI: 53.2-64.2). The median age of household contacts was 22 years. The median household size was 4 (mean 4.3 ± 2.199) members. Contacts exposed to adult index cases (aPR 1; 95% CI 1, 1.02, p = 0.01) and vaccinated index cases (uPR 0.41, 95% CI 0.25, 0.66, p < 0.001) had a higher SAR and prevalence of secondary infections. Conclusions. Our findings suggest substantial evidence of secondary infections among household contacts, especially in the context of public health mandated lockdowns. Aggressive early contact tracing and case identification with subsequent case isolation from other household members remains a crucial step in preventing secondary transmission. [ABSTRACT FROM AUTHOR]
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- 2022
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