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Eamon O'Dea

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Cramer EY, Ray EL, Lopez VK, Bracher J, Brennen A, Castro Rivadeneira AJ, Gerding A, Gneiting T, House KH, Huang Y, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mühlemann A, Niemi J, Shah A, Stark A, Wang Y, Wattanachit N, Zorn MW, Gu Y, Jain S, Bannur N, Deva A, Kulkarni M, Merugu S, Raval A, Shingi S, Tiwari A, White J, Abernethy NF, Woody S, Dahan M, Fox S, Gaither K, Lachmann M, Meyers LA, Scott JG, Tec M, Srivastava A, George GE, Cegan JC, Dettwiller ID, England WP, Farthing MW, Hunter RH, Lafferty B, Linkov I, Mayo ML, Parno MD, Rowland MA, Trump BD, Zhang-James Y, Chen S, Faraone SV, Hess J, Morley CP, Salekin A, Wang D, Corsetti SM, Baer TM, Eisenberg MC, Falb K, Huang Y, Martin ET, McCauley E, Myers RL, Schwarz T, Sheldon D, Gibson GC, Yu R, Gao L, Ma Y, Wu D, Yan X, Jin X, Wang YX, Chen Y, Guo L, Zhao Y, Gu Q, Chen J, Wang L, Xu P, Zhang W, Zou D, Biegel H, Lega J, McConnell S, Nagraj VP, Guertin SL, Hulme-Lowe C, Turner SD, Shi Y, Ban X, Walraven R, Hong QJ, Kong S, van de Walle A, Turtle JA, Ben-Nun M, Riley S, Riley P, Koyluoglu U, DesRoches D, Forli P, Hamory B, Kyriakides C, Leis H, Milliken J, Moloney M, Morgan J, Nirgudkar N, Ozcan G, Piwonka N, Ravi M, Schrader C, Shakhnovich E, Siegel D, Spatz R, Stiefeling C, Wilkinson B, Wong A, Cavany S, España G, Moore S, Oidtman R, Perkins A, Kraus D, Kraus A, Gao Z, Bian J, Cao W, Lavista Ferres J, Li C, Liu TY, Xie X, Zhang S, Zheng S, Vespignani A, Chinazzi M, Davis JT, Mu K, Pastore Y Piontti A, Xiong X, Zheng A, Baek J, Farias V, Georgescu A, Levi R, Sinha D, Wilde J, Perakis G, Bennouna MA, Nze-Ndong D, Singhvi D, Spantidakis I, Thayaparan L, Tsiourvas A, Sarker A, Jadbabaie A, Shah D, Della Penna N, Celi LA, Sundar S, Wolfinger R, Osthus D, Castro L, Fairchild G, Michaud I, Karlen D, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Lee EC, Dent J, Grantz KH, Hill AL, Kaminsky J, Kaminsky K, Keegan LT, Lauer SA, Lemaitre JC, Lessler J, Meredith HR, Perez-Saez J, Shah S, Smith CP, Truelove SA, Wills J, Marshall M, Gardner L, Nixon K, Burant JC, Wang L, Gao L, Gu Z, Kim M, Li X, Wang G, Wang Y, Yu S, Reiner RC, Barber R, Gakidou E, Hay SI, Lim S, Murray C, Pigott D, Gurung HL, Baccam P, Stage SA, Suchoski BT, Prakash BA, Adhikari B, Cui J, Rodríguez A, Tabassum A, Xie J, Keskinocak P, Asplund J, Baxter A, Oruc BE, Serban N, Arik SO, Dusenberry M, Epshteyn A, Kanal E, Le LT, Li CL, Pfister T, Sava D, Sinha R, Tsai T, Yoder N, Yoon J, Zhang L, Abbott S, Bosse NI, Funk S, Hellewell J, Meakin SR, Sherratt K, Zhou M, Kalantari R, Yamana TK, Pei S, Shaman J, Li ML, Bertsimas D, Skali Lami O, Soni S, Tazi Bouardi H, Ayer T, Adee M, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller P, Xiao J, Wang Y, Wang Q, Xie S, Zeng D, Green A, Bien J, Brooks L, Hu AJ, Jahja M, McDonald D, Narasimhan B, Politsch C, Rajanala S, Rumack A, Simon N, Tibshirani RJ, Tibshirani R, Ventura V, Wasserman L, O'Dea EB, Drake JM, Pagano R, Tran QT, Ho LST, Huynh H, Walker JW, Slayton RB, Johansson MA, Biggerstaff M, Reich NG. (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America, 119(15)

Tredennick AT, O'Dea EB, Ferrari MJ, Park AW, Rohani P, Drake JM. (2022). Anticipating infectious disease re-emergence and elimination: a test of early warning signals using empirically based models. Journal of the Royal Society, Interface, 19(193)

O'Dea EB, Drake JM. (2022). A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations and deaths. Journal of the Royal Society, Interface, 19(187)

O'Regan SM, O'Dea EB, Rohani P, Drake JM. (2020). Transient indicators of tipping points in infectious diseases. Journal of the Royal Society, Interface, 17(170)

Chen S, O'Dea EB, Drake JM, Epureanu BI. (2019). Eigenvalues of the covariance matrix as early warning signals for critical transitions in ecological systems. Scientific reports, 9(1)

Drake JM, Brett TS, Chen S, Epureanu BI, Ferrari MJ, Marty É, Miller PB, O'Dea EB, O'Regan SM, Park AW, Rohani P. (2019). The statistics of epidemic transitions. PLoS computational biology, 15(5)

O'Dea EB, Drake JM. (2019). Disentangling reporting and disease transmission. Theoretical ecology, 12(1)

O'Dea EB, Park AW, Drake JM. (2018). Estimating the distance to an epidemic threshold. Journal of the Royal Society, Interface, 15(143)

Brett TS, O'Dea EB, Marty É, Miller PB, Park AW, Drake JM, Rohani P. (2018). Anticipating epidemic transitions with imperfect data. PLoS computational biology, 14(6)

Miller PB, O'Dea EB, Rohani P, Drake JM. (2017). Forecasting infectious disease emergence subject to seasonal forcing. Theoretical biology & medical modelling, 14(1)

O'Dea EB, Snelson H, Bansal S. (2016). Using heterogeneity in the population structure of U.S. swine farms to compare transmission models for porcine epidemic diarrhoea. Scientific Reports, (6)

Dibble CJ, O'Dea EB, Park AW, Drake JM. (2016). Waiting time to infectious disease emergence. Journal of the Royal Society, Interface, 13(123)

O'Dea EB, Pepin KM, Lopman BA, Wilke CO. (2014). Fitting outbreak models to data from many small norovirus outbreaks. Epidemics, (6)

O'Dea EB, Keller TE, Wilke CO. (2010). Does mutational robustness inhibit extinction by lethal mutagenesis in viral populations?. PLoS computational biology, 6(6)

O'Dea EB, Wilke CO. (2010). Contact heterogeneity and phylodynamics: how contact networks shape parasite evolutionary trees. Interdisciplinary perspectives on infectious diseases, (2011)

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