TY - JOUR
T1 - Strategic testing approaches for targeted disease monitoring can be used to inform pandemic decision-making
AU - Nichols, James D.
AU - Bogich, Tiffany L.
AU - Howerton, Emily
AU - Bjørnstad, Ottar N.
AU - Borchering, Rebecca K.
AU - Ferrari, Matthew
AU - Haran, Murali
AU - Jewell, Christopher
AU - Pepin, Kim M.
AU - Probert, William J.M.
AU - Pulliam, Juliet R.C.
AU - Runge, Michael C.
AU - Tildesley, Michael
AU - Viboud, Cecile
AU - Shea, Katriona
N1 - Publisher Copyright:
© 2021 Public Library of Science. All rights reserved.
PY - 2021/6
Y1 - 2021/6
N2 - More than 1.6 million Servere Acute Respiratory Syndrome Cronovirus 2(SARS-COV-2)tests were administered daily in the United States at the peak of the epidemic, with a significant focus on individual treatment. Here, we show that objective-driven, strategic sampling designs and analyses can maximize information gain at the population level, which is necessary to increase situational awareness and predict, prepare for, and respond to a pandemic, while also continuing to inform individual treatment. By focusing on specific objectives such as individual treatment or disease prediction and control (e.g., via the collection of population- level statistics to inform lockdown measures or vaccine rollout) and drawing from the literature on capture-recapture methods to deal with nonrandom sampling and testing errors, we illustrate how public health objectives can be achieved even with limited test availability when testing programs are designed a priori to meet those objectives.
AB - More than 1.6 million Servere Acute Respiratory Syndrome Cronovirus 2(SARS-COV-2)tests were administered daily in the United States at the peak of the epidemic, with a significant focus on individual treatment. Here, we show that objective-driven, strategic sampling designs and analyses can maximize information gain at the population level, which is necessary to increase situational awareness and predict, prepare for, and respond to a pandemic, while also continuing to inform individual treatment. By focusing on specific objectives such as individual treatment or disease prediction and control (e.g., via the collection of population- level statistics to inform lockdown measures or vaccine rollout) and drawing from the literature on capture-recapture methods to deal with nonrandom sampling and testing errors, we illustrate how public health objectives can be achieved even with limited test availability when testing programs are designed a priori to meet those objectives.
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U2 - 10.1371/journal.pbio.3001307
DO - 10.1371/journal.pbio.3001307
M3 - Review article
C2 - 34138840
AN - SCOPUS:85108162371
SN - 1544-9173
VL - 19
JO - PLoS biology
JF - PLoS biology
IS - 6
M1 - e3001307
ER -