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Your search keyword '"Wilson, Madeline S."' showing total 5 results
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5 results on '"Wilson, Madeline S."'

1. Daily Rapid Antigen Exit Testing to Tailor University COVID-19 Isolation Policy

Author

Earnest, Rebecca, Chen, Christine, Chaguza, Chrispin, Hahn, Anne M., Grubaugh, Nathan D., and Wilson, Madeline S.

Subjects
Epidemics -- Control -- United States, Isolation (Hospital care) -- Methods, Immune system -- Testing, Universities and colleges -- Health aspects -- Safety and security measures -- Laws, regulations and rules -- United States, Government regulation, Health
Abstract

In December 2021, the Centers for Disease Control and Prevention (CDC) reduced the recommended COVID-19 isolation period for the general population from 10 days to 5 days after symptom onset [...]

Published
2022
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2. Combining genomic and epidemiological data to compare the transmissibility of SARS-CoV-2 variants Alpha and Iota

Author

Petrone, Mary E., Rothman, Jessica E., Breban, Mallery I., Ott, Isabel M., Russell, Alexis, Lasek-Nesselquist, Erica, Badr, Hamada, Kelly, Kevin, Omerza, Greg, Renzette, Nicholas, Watkins, Anne E., Kalinich, Chaney C., Alpert, Tara, Brito, Anderson F., Earnest, Rebecca, Tikhonova, Irina R., Castaldi, Christopher, Kelly, John P., Shudt, Matthew, Plitnick, Jonathan, Schneider, Erasmus, Murphy, Steven, Neal, Caleb, Laszlo, Eva, Altajar, Ahmad, Pearson, Claire, Muyombwe, Anthony, Downing, Randy, Razeq, Jafar, Niccolai, Linda, Wilson, Madeline S., Anderson, Margaret L., Wang, Jianhui, Liu, Chen, Hui, Pei, Mane, Shrikant, Taylor, Bradford P., Hanage, William P., Landry, Marie L., Peaper, David R., Bilguvar, Kaya, Fauver, Joseph R., Vogels, Chantal B. F., Gardner, Lauren M., Pitzer, Virginia E., St. George, Kirsten, Adams, Mark D., and Grubaugh, Nathan D.

Published
2022
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3. Combining genomic and epidemiological data to compare the transmissibility of SARS-CoV-2 lineages

Author

Petrone, Mary E., primary, Rothman, Jessica E., additional, Breban, Mallery I., additional, Ott, Isabel M., additional, Russell, Alexis, additional, Lasek-Nesselquist, Erica, additional, Kelly, Kevin, additional, Omerza, Greg, additional, Renzette, Nicholas, additional, Watkins, Anne E., additional, Kalinich, Chaney C., additional, Alpert, Tara, additional, Brito, Anderson F., additional, Earnest, Rebecca, additional, Tikhonova, Irina R., additional, Castaldi, Christopher, additional, Kelly, John P., additional, Shudt, Matthew, additional, Plitnick, Jonathan, additional, Schneider, Erasmus, additional, Murphy, Steven, additional, Neal, Caleb, additional, Laszlo, Eva, additional, Altajar, Ahmad, additional, Pearson, Claire, additional, Muyombwe, Anthony, additional, Downing, Randy, additional, Razeq, Jafar, additional, Niccolai, Linda, additional, Wilson, Madeline S., additional, Anderson, Margaret L., additional, Wang, Jianhui, additional, Liu, Chen, additional, Hui, Pei, additional, Mane, Shrikant, additional, Taylor, Bradford P., additional, Hanage, William P., additional, Landry, Marie L., additional, Peaper, David R., additional, Bilguvar, Kaya, additional, Fauver, Joseph R., additional, Vogels, Chantal B.F., additional, Gardner, Lauren M., additional, Pitzer, Virginia E., additional, George, Kirsten St., additional, Adams, Mark D., additional, and Grubaugh, Nathan D., additional

Published
2021
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5. Combining genomic and epidemiological data to compare the transmissibility of SARS-CoV-2 lineages.

Author

Petrone ME, Rothman JE, Breban MI, Ott IM, Russell A, Lasek-Nesselquist E, Kelly K, Omerza G, Renzette N, Watkins AE, Kalinich CC, Alpert T, Brito AF, Earnest R, Tikhonova IR, Castaldi C, Kelly JP, Shudt M, Plitnick J, Schneider E, Murphy S, Neal C, Laszlo E, Altajar A, Pearson C, Muyombwe A, Downing R, Razeq J, Niccolai L, Wilson MS, Anderson ML, Wang J, Liu C, Hui P, Mane S, Taylor BP, Hanage WP, Landry ML, Peaper DR, Bilguvar K, Fauver JR, Vogels CBF, Gardner LM, Pitzer VE, St George K, Adams MD, and Grubaugh ND

Abstract

Emerging SARS-CoV-2 variants have shaped the second year of the COVID-19 pandemic and the public health discourse around effective control measures. Evaluating the public health threat posed by a new variant is essential for appropriately adapting response efforts when community transmission is detected. However, this assessment requires that a true comparison can be made between the new variant and its predecessors because factors other than the virus genotype may influence spread and transmission. In this study, we develop a framework that integrates genomic surveillance data to estimate the relative effective reproduction number (R t ) of co-circulating lineages. We use Connecticut, a state in the northeastern United States in which the SARS-CoV-2 variants B.1.1.7 and B.1.526 co-circulated in early 2021, as a case study for implementing this framework. We find that the R t of B.1.1.7 was 6-10% larger than that of B.1.526 in Connecticut in the midst of a COVID-19 vaccination campaign. To assess the generalizability of this framework, we apply it to genomic surveillance data from New York City and observe the same trend. Finally, we use discrete phylogeography to demonstrate that while both variants were introduced into Connecticut at comparable frequencies, clades that resulted from introductions of B.1.1.7 were larger than those resulting from B.1.526 introductions. Our framework, which uses open-source methods requiring minimal computational resources, may be used to monitor near real-time variant dynamics in a myriad of settings.

Published
2021
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