Követés
Jessica T. Davis
Jessica T. Davis
Post-doctoral Researcher, Northeastern University
E-mail megerősítve itt: northeastern.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
M Chinazzi, JT Davis, M Ajelli, C Gioannini, M Litvinova, S Merler, ...
Science 368 (6489), 395-400, 2020
40512020
Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios—United States, April–September 2021
RK Borchering, C Viboud, E Howerton, CP Smith, S Truelove, MC Runge, ...
Morbidity and Mortality Weekly Report 70 (19), 719, 2021
1522021
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, JT Davis, A Vespignani, ...
arXiv preprint arXiv:2004.04019, 2020
1502020
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
Science Advances 7 (10), eabd6989, 2021
1492021
Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability
FC Coelho, RM Lana, OG Cruz, DAM Villela, LS Bastos, ...
PloS one 15 (9), e0238214, 2020
1032020
Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave
JT Davis, M Chinazzi, N Perra, K Mu, A Pastore y Piontti, M Ajelli, ...
Nature, 1-9, 2021
822021
Phase transitions in information spreading on structured populations
JT Davis, N Perra, Q Zhang, Y Moreno, A Vespignani
Nature Physics 16 (5), 590-596, 2020
752020
Real-time forecasting of the COVID-19 outbreak in Chinese provinces: machine learning approach using novel digital data and estimates from mechanistic models
C Poirier, D Liu, L Clemente, X Ding, M Chinazzi, J Davis, A Vespignani, ...
Journal of medical Internet research 22 (8), e20285, 2020
572020
Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
S Truelove, CP Smith, M Qin, LC Mullany, RK Borchering, J Lessler, ...
Elife 11, e73584, 2022
392022
Preliminary assessment of the International Spreading Risk Associated with the 2019 novel Coronavirus (2019-nCoV) outbreak in Wuhan City
M Chinazzi, JT Davis, C Gioannini, M Litvinova, A Pastore y Piontti, ...
Lab. Model. Biol. Soc.–Techn. Syst, 2020
292020
Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches
FS Lu, AT Nguyen, NB Link, M Molina, JT Davis, M Chinazzi, X Xiong, ...
PLOS Computational Biology 17 (6), e1008994, 2021
252021
Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA
JT Davis, M Chinazzi, N Perra, K Mu, AP y Piontti, M Ajelli, NE Dean, ...
medRxiv, 2020
242020
Estimating the cumulative incidence of COVID-19 in the United States using four complementary approaches
FS Lu, AT Nguyen, NB Link, JT Davis, M Chinazzi, X Xiong, A Vespignani, ...
medRxiv, 2020
172020
Estimating the spreading and dominance of SARS-CoV-2 VOC 202012/01 (lineage B. 1.1. 7) across Europe
N Gozzi, M Chinazzi, JT Davis, K Mu, AP y Piontti, M Ajelli, N Perra, ...
medRxiv, 2021
122021
Anatomy of the first six months of COVID-19 Vaccination Campaign in Italy
N Gozzi, M Chinazzi, JT Davis, K Mu, A Pastore y Piontti, M Ajelli, N Perra, ...
PLOS Computational Biology 18 (5), e1010146, 2022
102022
Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave in Europe and the United States
JT Davis, M Chinazzi, N Perra, K Mu, AP y Piontti, M Ajelli, NE Dean, ...
medRxiv, 2021
22021
Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, J Davis, A Vespignani, ...
Journal of Medical Internet Research 22 (9), e23996-e23996, 2020
22020
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