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Your search keyword '"Truscon, Rachel"' showing total 14 results
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14 results on '"Truscon, Rachel"'

1. Early Serial Echocardiographic and Ultrasonographic Findings in Critically Ill Patients With COVID-19

Author

Calhoun, Nicole, Herrick, Judy, Hoffman, Eric, McKillop, Amanda, Murthy, Kempapura, Smith, Michael, Zayed, Martha, De Souza, Lesley, Kindle, Ryan, Kozikowski, Lori-Ann, Ouellette, Scott, Thornton-Thompson, Sherell, Bolstad, Michael, Ciottone, Robert, Coviello, Brianna, Devilla, Arnaldo, Grafals, Ana, Higgins, Conor, Ottanelli, Carlo, Redman, Kimberly, Scaffidi, Douglas, Weingart, Alexander, Lewis, Nathaniel, Olson, Samantha, Ashok, Kiran, Brennan, Connery, Mehkri, Omar, Mitchell, Megan, Poynter, Bryan, Stanley, Nicholas, Lohuis, Caitlin ten, Caspers, Sean, Erikson, Heidi, Hendrickson, Audrey, Kaus, Olivia, Maruggi, Ellen, Scharber, Tyler, Tordsen, Walker, Aston, Valerie, Bowers, Robert, Jorgensen, Jeffrey, King, Jennifer, Ali, Harith, Rothman, Richard E., Nair, Rahul, Chen, Jen-Ting, Karow, Sarah, Robart, Emily, Maldonado, Paulo Nunes, Khan, Maryiam, So, Preston, Schwartz, Elizabeth, So, Madison, Weigand, Michael, Luong, Andrea, Martinez, Jesus, Huynh, Bao, Ibrahim, Habiba, Villanueva-Vargas, Cynthia, Jung, Haeun, Villanueva-Vargas, Juliana, Quadri, Suha, Gordon, Alexandra Jun, Levitt, Joe, Perez, Cynthia, Visweswaran, Anita, Roque, Jonasel, Rivera, Adreanne, Frankel, Trevor, Goff, Jennifer, Huynh, David, Jensen, Kelly, Driver, Conner, Chambers, Ian, Nassar, Paul, Stout, Lori, Sibenaller, Zita, Walter, Alicia, Mares, Jasmine, Olson, Logan, Clinansmith, Bradley, Gershengorn, Hayley, Rivas, Carolina, McSpadden, E.J., Truscon, Rachel, Kaniclides, Anne, Thomas, Lara, Bielak, Ramsay, Valvano, Weronika Damek, Fong, Rebecca, Fitzsimmons, William J., Blair, Christopher, Valesano, Andrew, Baker, Leigh, Gilbert, Julie, Crider, Christine D., Steinbock, Kyle A., Paulson, Thomas C., Anderson, Layla A., Kampe, Christy, Johnson, Jakea, Short, Laura L., Ezzell, Lauren J., Whitsett, Margaret E., McHenry, Rendie E., Hargrave, Samarian J., Blair, Marica, Luther, Jennifer L., Pulido, Claudia Guevara, Peterson, Bryan P.M., LaRose, Mary, Landreth, Leigha, Hicks, Madeline, Parks, Lisa, Bongu, Jahnavi, McDonald, David, Cass, Candice, Seiler, Sondra, Park, David, Hink, Tiffany, Wallace, Meghan, Burnham, Carey-Ann, Arter, Olivia G., Lanspa, Michael J., Dugar, Siddharth P., Prigmore, Heather L., Boyd, Jeremy S., Rupp, Jordan D., Lindsell, Chris J., Rice, Todd W., Qadir, Nida, Lim, George W., Shiloh, Ariel L., Dieiev, Vladyslav, Gong, Michelle N., Fox, Steven W., Hirshberg, Eliotte L., Khan, Akram, Kornfield, James, Schoeneck, Jacob H., Macklin, Nicholas, Files, D.Clark, Gibbs, Kevin W., Prekker, Matthew E., Parsons-Moss, Daniel, Bown, Mikaele, Olsen, Troy D., Knox, Daniel B., Cirulis, Meghan M., Duggal, Abhijit, Tenforde, Mark W., Patel, Manish M., Self, Wesley H., and Brown, Samuel M.

Published
2023
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3. Sustained Effectiveness of Pfizer-BioNTech and Moderna Vaccines Against COVID-19 Associated Hospitalizations Among Adults — United States, March–July 2021

Author

Tenforde, Mark W., Self, Wesley H., Naioti, Eric A., Ginde, Adit A., Douin, David J., Olson, Samantha M., Talbot, H. Keipp, Casey, Jonathan D., Mohr, Nicholas M., Zepeski, Anne, Gaglani, Manjusha, McNeal, Tresa, Ghamande, Shekhar, Shapiro, Nathan I., Gibbs, Kevin W., Files, D. Clark, Hager, David N., Shehu, Arber, Prekker, Matthew E., Erickson, Heidi L., Gong, Michelle N., Mohamed, Amira, Henning, Daniel J., Steingrub, Jay S., Peltan, Ithan D., Brown, Samuel M., Martin, Emily T., Monto, Arnold S., Khan, Akram, Hough, Catherine L., Busse, Laurence W., ten Lohuis, Caitlin C., Duggal, Abhijit, Wilson, Jennifer G., Gordon, Alexandra June, Qadir, Nida, Chang, Steven Y., Mallow, Christopher, Rivas, Carolina, Babcock, Hilary M., Kwon, Jennie H., Exline, Matthew C., Halasa, Natasha, Chappell, James D., Lauring, Adam S., Grijalva, Carlos G., Rice, Todd W., Jones, Ian D., Stubblefield, William B., Baughman, Adrienne, Womack, Kelsey N., Lindsell, Christopher J., Hart, Kimberly W., Zhu, Yuwei, Stephenson, Meagan, Schrag, Stephanie J., Kobayashi, Miwako, Verani, Jennifer R., Patel, Manish M., Calhoun, Nicole, Murthy, Kempapura, Herrick, Judy, McKillop, Amanda, Hoffman, Eric, Zayed, Martha, Smith, Michael, Settele, Natalie, Ettlinger, Jason, Priest, Elisa, Thomas, Jennifer, Arroliga, Alejandro, Beeram, Madhava, Kindle, Ryan, Kozikowski, Lori-Ann, De Souza, Lesley, Ouellette, Scott, Thornton-Thompson, Sherell, Tyler, Patrick, Mehkri, Omar, Ashok, Kiran, Gole, Susan, King, Alexander, Poynter, Bryan, Stanley, Nicholas, Hendrickson, Audrey, Maruggi, Ellen, Scharber, Tyler, Jorgensen, Jeffrey, Bowers, Robert, King, Jennifer, Aston, Valerie, Armbruster, Brent, Rothman, Richard E., Nair, Rahul, Chen, Jen-Ting (Tina), Karow, Sarah, Robart, Emily, Maldonado, Paulo Nunes, Khan, Maryiam, So, Preston, Levitt, Joe, Perez, Cynthia, Visweswaran, Anita, Roque, Jonasel, Rivera, Adreanne, Frankel, Trevor, Howell, Michelle, Friedel, Jennifer, Goff, Jennifer, Huynh, David, Tozier, Michael, Driver, Conner, Carricato, Michael, Foster, Alexandra, Nassar, Paul, Stout, Lori, Sibenaller, Zita, Walter, Alicia, Mares, Jasmine, Olson, Logan, Clinansmith, Bradley, Gershengorn, Hayley, McSpadden, EJ, Truscon, Rachel, Kaniclides, Anne, Thomas, Lara, Bielak, Ramsay, Valvano, Weronika Damek, Fong, Rebecca, Fitzsimmons, William J., Blair, Christopher, Valesano, Andrew L., Gilbert, Julie, Crider, Christine D., Steinbock, Kyle A., Paulson, Thomas C., Anderson, Layla A., Kampe, Christy, Johnson, Jakea, McHenry, Rendie, Blair, Marcia, Conway, Douglas, LaRose, Mary, Landreth, Leigha, Hicks, Madeline, Parks, Lisa, Bongu, Jahnavi, McDonald, David, Cass, Candice, Seiler, Sondra, Park, David, Hink, Tiffany, Wallace, Meghan, Burnham, Carey-Ann, and Arter, Olivia G.

Subjects
Adult, Male, medicine.medical_specialty, 2019-20 coronavirus outbreak, Health (social science), COVID-19 Vaccines, Time Factors, Coronavirus disease 2019 (COVID-19), Adolescent, Epidemiology, Health, Toxicology and Mutagenesis, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Young Adult, Health Information Management, Internal medicine, Medicine, Humans, Full Report, Young adult, Aged, Vaccines, Synthetic, business.industry, Vaccination, COVID-19, General Medicine, High effectiveness, Middle Aged, Confidence interval, United States, Hospitalization, Female, business
Abstract

Real-world evaluations have demonstrated high effectiveness of vaccines against COVID-19-associated hospitalizations (1-4) measured shortly after vaccination; longer follow-up is needed to assess durability of protection. In an evaluation at 21 hospitals in 18 states, the duration of mRNA vaccine (Pfizer-BioNTech or Moderna) effectiveness (VE) against COVID-19-associated hospitalizations was assessed among adults aged ≥18 years. Among 3,089 hospitalized adults (including 1,194 COVID-19 case-patients and 1,895 non-COVID-19 control-patients), the median age was 59 years, 48.7% were female, and 21.1% had an immunocompromising condition. Overall, 141 (11.8%) case-patients and 988 (52.1%) controls were fully vaccinated (defined as receipt of the second dose of Pfizer-BioNTech or Moderna mRNA COVID-19 vaccines ≥14 days before illness onset), with a median interval of 65 days (range = 14-166 days) after receipt of second dose. VE against COVID-19-associated hospitalization during the full surveillance period was 86% (95% confidence interval [CI] = 82%-88%) overall and 90% (95% CI = 87%-92%) among adults without immunocompromising conditions. VE against COVID-19- associated hospitalization was 86% (95% CI = 82%-90%) 2-12 weeks and 84% (95% CI = 77%-90%) 13-24 weeks from receipt of the second vaccine dose, with no significant change between these periods (p = 0.854). Whole genome sequencing of 454 case-patient specimens found that 242 (53.3%) belonged to the B.1.1.7 (Alpha) lineage and 74 (16.3%) to the B.1.617.2 (Delta) lineage. Effectiveness of mRNA vaccines against COVID-19-associated hospitalization was sustained over a 24-week period, including among groups at higher risk for severe COVID-19; ongoing monitoring is needed as new SARS-CoV-2 variants emerge. To reduce their risk for hospitalization, all eligible persons should be offered COVID-19 vaccination.

Published
2021

7. Distinct influenza surveillance networks and their agreement in recording regional influenza circulation: Experience from Southeast Michigan

Author

DeJonge, Peter M., primary, Monto, Arnold S., additional, Malosh, Ryan E., additional, Petrie, Joshua G., additional, Segaloff, Hannah E., additional, McSpadden, Erin, additional, Cheng, Caroline, additional, Bazzi, Latifa, additional, Callear, Amy, additional, Johnson, Emileigh, additional, Truscon, Rachel, additional, and Martin, Emily T., additional

Published
2021
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9. Detection and control of influenza outbreaks in well-vaccinated nursing home populations

Author

Monto, Arnold S., Rotthoff, Judy, Teich, Esther, Herlocher, M. Louise, Truscon, Rachel, Yen, Hui-Ling, Elias, Stephanie, and Ohmit, Suzanne E.

Subjects
Nursing homes -- Research, Nursing homes -- Health aspects, Influenza -- Diagnosis, Influenza -- Prevention, Influenza -- Care and treatment, Influenza -- Research, Health, Health care industry
Published
2004

10. Distinct influenza surveillance networks and their agreement in recording regional influenza circulation: Experience from Southeast Michigan.

Author

DeJonge, Peter M., Monto, Arnold S., Malosh, Ryan E., Petrie, Joshua G., Segaloff, Hannah E., McSpadden, Erin, Cheng, Caroline, Bazzi, Latifa, Callear, Amy, Johnson, Emileigh, Truscon, Rachel, and Martin, Emily T.

Subjects
INFLUENZA, WATCHFUL waiting, ACUTE diseases, SOCIAL networks, EPIDEMICS
Abstract

Introduction: In Southeast Michigan, active surveillance studies monitor influenza activity in hospitals, ambulatory clinics, and community households. Across five respiratory seasons, we assessed the contribution of data from each of the three networks towards improving our overall understanding of regional influenza circulation. Methods: All three networks used case definitions for acute respiratory illness (ARI) and molecularly tested for influenza from research‐collected respiratory specimens. Age‐ and network‐stratified epidemic curves were created for influenza A and B. We compared stratified epidemic curves visually and by centering at seasonal midpoints. Results: Across all seasons (from 2014/2015 through 2018/2019), epidemic curves from each of the three networks were comparable in terms of both timing and magnitude. Small discrepancies in epidemics recorded by each network support previous conclusions about broader characteristics of particular influenza seasons. Conclusion: Influenza surveillance systems based in hospital, ambulatory clinic, and community household settings appear to provide largely similar information regarding regional epidemic activity. Together, multiple levels of influenza surveillance provide a detailed view of regional influenza epidemics, but a single surveillance system—regardless of population subgroup monitored—appears to be sufficient in providing vital information regarding community influenza epidemics. [ABSTRACT FROM AUTHOR]

Published
2022
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