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Rene Niehus
Rene Niehus
Harvard T.H. Chan School of Public Health
Verified email at hsph.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China
JT Wu, K Leung, M Bushman, N Kishore, R Niehus, PM de Salazar, ...
Nature medicine 26 (4), 506-510, 2020
14082020
Practical considerations for measuring the effective reproductive number, Rt
KM Gostic, L McGough, EB Baskerville, S Abbott, K Joshi, C Tedijanto, ...
PLoS computational biology 16 (12), e1008409, 2020
3452020
The gut microbiota is associated with immune cell dynamics in humans
J Schluter, JU Peled, BP Taylor, KA Markey, M Smith, Y Taur, R Niehus, ...
Nature 588 (7837), 303-307, 2020
1972020
Evolutionary limits to cooperation in microbial communities
NM Oliveira, R Niehus, KR Foster
Proceedings of the National Academy of Sciences 111 (50), 17941-17946, 2014
1842014
The evolution of siderophore production as a competitive trait
R Niehus, A Picot, NM Oliveira, S Mitri, KR Foster
Evolution 71 (6), 1443-1455, 2017
1232017
Migration and horizontal gene transfer divide microbial genomes into multiple niches
R Niehus, S Mitri, AG Fletcher, KR Foster
Nature communications 6 (1), 1-9, 2015
1162015
Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
R Niehus, PM De Salazar, AR Taylor, M Lipsitch
MedRxiv, 2020
1022020
Using predicted imports of 2019-nCoV cases to determine locations that may not be identifying all imported cases
PM De Salazar, R Niehus, A Taylor, C Buckee, M Lipsitch
MedRxiv, 2020
892020
How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19
EK Accorsi, X Qiu, E Rumpler, L Kennedy-Shaffer, R Kahn, K Joshi, ...
European Journal of Epidemiology 36 (2), 179-196, 2021
792021
Using observational data to quantify bias of traveller-derived COVID-19 prevalence estimates in Wuhan, China
R Niehus, PM De Salazar, AR Taylor, M Lipsitch
The Lancet Infectious Diseases 20 (7), 803-808, 2020
722020
The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples
HS Gweon, LP Shaw, J Swann, N De Maio, M AbuOun, R Niehus, ...
Environmental microbiome 14 (1), 1-15, 2019
492019
Identifying locations with possible undetected imported severe acute respiratory syndrome coronavirus 2 cases by using importation predictions
PM De Salazar, R Niehus, A Taylor, COF Buckee, M Lipsitch
Emerging infectious diseases 26 (7), 1465, 2020
462020
Estimating internationally imported cases during the early COVID-19 pandemic
TF Menkir, T Chin, JA Hay, ED Surface, PM De Salazar, CO Buckee, ...
Nature communications 12 (1), 1-10, 2021
232021
Quantifying antibiotic impact on within-patient dynamics of extended-spectrum beta-lactamase resistance
R Niehus, E van Kleef, Y Mo, A Turlej-Rogacka, C Lammens, Y Carmeli, ...
Elife 9, 2020
142020
Addendum: Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China
JT Wu, K Leung, M Bushman, N Kishore, R Niehus, PM de Salazar, ...
Nature Medicine 26 (7), 1149-1150, 2020
122020
The evolution of strategy in bacterial warfare via the regulation of bacteriocins and antibiotics
R Niehus, NM Oliveira, A Li, AG Fletcher, KR Foster
Elife 10, e69756, 2021
82021
Estimating underdetection of internationally imported COVID-19 cases
R Niehus, PM De Salazar, AR Taylor, M Lipsitch
medRxiv., 2020
82020
Estimating the number of undetected COVID-19 cases exported internationally from all of China
TF Menkir, T Chin, J Hay, ED Surface, PM De Salazar, CO Buckee, ...
medRxiv, 2020
72020
Collaborative Hubs: Making the Most of Predictive Epidemic Modeling
NG Reich, J Lessler, S Funk, C Viboud, A Vespignani, RJ Tibshirani, ...
American Journal of Public Health, e1-e4, 2022
52022
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandman, ...
medRxiv, 2022
52022
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