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Nicholas Reich

Bio

Education

Affiliations

Preferred Pronouns

He/him/his

Personal Academic Website

http://reichlab.io/

Topics of Interest/Expertise
 

Countries of Work/Collaboration

United States

Projects

Papers

Frutos AM, Hines A, Shandross L, Ray EL, Reich NG, Borchering RK, Biggerstaff M. (2026). Retrospective evaluation of trained and untrained probabilistic ensemble forecasts for influenza hospital admissions - United States, 2022-2025. Infectious Disease Modelling, 11(3)

Kerr M, Borchering R, Rivadeneira AC, Contamin L, Funk S, Hochheiser H, Howerton E, Krystalli A, Shandross L, Reich NG. (2026). A Software Platform for Collaborative Infectious Disease Modeling. Nature health

Kim D, Pasco R, Johnson K, Fox SJ, Reich NG, Meyers LA. (2026). Local Influenza Forecasts Outperform State-Level Forecasts in the United States. medRxiv : the preprint server for health sciences

Shandross L, Howerton E, Contamin L, Hochheiser H, Krystalli A, , Reich NG, Ray EL. (2026). Multi-Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R. Statistics in medicine, 45(1-2)

Kerr M, Borchering R, Rivadeneira AC, Contamin L, Funk S, Hochheiser H, Howerton E, Krystalli A, Shandross L, Reich NG. (2025). Coordinating collaborative infectious disease modeling projects with the hubverse. medRxiv : the preprint server for health sciences

Mathis SM, Webber AE, León TM, Murray EL, Sun M, White LA, Brooks LC, Green A, Hu AJ, Rosenfeld R, Shemetov D, Tibshirani RJ, McDonald DJ, Kandula S, Pei S, Yaari R, Yamana TK, Shaman J, Agarwal P, Balusu S, Gururajan G, Kamarthi H, Prakash BA, Raman R, Zhao Z, Rodríguez A, Meiyappan A, Omar S, Baccam P, Gurung HL, Suchoski BT, Stage SA, Ajelli M, Kummer AG, Litvinova M, Ventura PC, Wadsworth S, Niemi J, Carcelen E, Hill AL, Loo SL, McKee CD, Sato K, Smith C, Truelove S, Jung SM, Lemaitre JC, Lessler J, McAndrew T, Ye W, Bosse N, Hlavacek WS, Lin YT, Mallela A, Gibson GC, Chen Y, Lamm SM, Lee J, Posner RG, Perofsky AC, Viboud C, Clemente L, Lu F, Meyer AG, Santillana M, Chinazzi M, Davis JT, Mu K, Pastore Y Piontti A, Vespignani A, Xiong X, Ben-Nun M, Riley P, Turtle J, Hulme-Lowe C, Jessa S, Nagraj VP, Turner SD, Williams D, Basu A, Drake JM, Fox SJ, Suez E, Cojocaru MG, Thommes EW, Cramer EY, Gerding A, Stark A, Ray EL, Reich NG, Shandross L, Wattanachit N, Wang Y, Zorn MW, Aawar MA, Srivastava A, Meyers LA, Adiga A, Hurt B, Kaur G, Lewis BL, Marathe M, Venkatramanan S, Butler P, Farabow A, Ramakrishnan N, Muralidhar N, Reed C, Biggerstaff M, Borchering RK. (2024). Title evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations. Nature communications, 15(1)

Lipsitch M, Bassett MT, Brownstein JS, Elliott P, Eyre D, Grabowski MK, Hay JA, Johansson MA, Kissler SM, Larremore DB, Layden JE, Lessler J, Lynfield R, MacCannell D, Madoff LC, Metcalf CJE, Meyers LA, Ofori SK, Quinn C, Bento AI, Reich NG, Riley S, Rosenfeld R, Samore MH, Sampath R, Slayton RB, Swerdlow DL, Truelove S, Varma JK, Grad YH. (2024). Infectious disease surveillance needs for the United States: lessons from Covid-19. Frontiers in public health, (12)

Lopez VK, Cramer EY, Pagano R, Drake JM, O'Dea EB, Adee M, Ayer T, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller PP, Xiao J, Bracher J, Castro Rivadeneira AJ, Gerding A, Gneiting T, Huang Y, Jayawardena D, Kanji AH, Le K, Mühlemann A, Niemi J, Ray EL, Stark A, Wang Y, Wattanachit N, Zorn MW, Pei S, Shaman J, Yamana TK, Tarasewicz SR, Wilson DJ, Baccam S, Gurung H, Stage S, Suchoski B, Gao L, Gu Z, Kim M, Li X, Wang G, Wang L, Wang Y, Yu S, Gardner L, Jindal S, Marshall M, Nixon K, Dent J, Hill AL, Kaminsky J, Lee EC, Lemaitre JC, Lessler J, Smith CP, Truelove S, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Karlen D, Castro L, Fairchild G, Michaud I, Osthus D, Bian J, Cao W, Gao Z, Lavista Ferres J, Li C, Liu TY, Xie X, Zhang S, Zheng S, Chinazzi M, Davis JT, Mu K, Pastore Y Piontti A, Vespignani A, Xiong X, Walraven R, Chen J, Gu Q, Wang L, Xu P, Zhang W, Zou D, Gibson GC, Sheldon D, Srivastava A, Adiga A, Hurt B, Kaur G, Lewis B, Marathe M, Peddireddy AS, Porebski P, Venkatramanan S, Wang L, Prasad PV, Walker JW, Webber AE, Slayton RB, Biggerstaff M, Reich NG, Johansson MA. (2024). Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLoS computational biology, 20(5)

Wattanachit N, Ray EL, McAndrew TC, Reich NG. (2023). Comparison of combination methods to create calibrated ensemble forecasts for seasonal influenza in the U.S. Statistics in medicine

Sherratt K, Gruson H, Grah R, Johnson H, Niehus R, Prasse B, Sandmann F, Deuschel J, Wolffram D, Abbott S, Ullrich A, Gibson G, Ray EL, Reich NG, Sheldon D, Wang Y, Wattanachit N, Wang L, Trnka J, Obozinski G, Sun T, Thanou D, Pottier L, Krymova E, Meinke JH, Barbarossa MV, Leithauser N, Mohring J, Schneider J, Wlazlo J, Fuhrmann J, Lange B, Rodiah I, Baccam P, Gurung H, Stage S, Suchoski B, Budzinski J, Walraven R, Villanueva I, Tucek V, Smid M, Zajicek M, Perez Alvarez C, Reina B, Bosse NI, Meakin SR, Castro L, Fairchild G, Michaud I, Osthus D, Alaimo Di Loro P, Maruotti A, Eclerova V, Kraus A, Kraus D, Pribylova L, Dimitris B, Li ML, Saksham S, Dehning J, Mohr S, Priesemann V, Redlarski G, Bejar B, Ardenghi G, Parolini N, Ziarelli G, Bock W, Heyder S, Hotz T, Singh DE, Guzman-Merino M, Aznarte JL, Morina D, Alonso S, Alvarez E, Lopez D, Prats C, Burgard JP, Rodloff A, Zimmermann T, Kuhlmann A, Zibert J, Pennoni F, Divino F, Catala M, Lovison G, Giudici P, Tarantino B, Bartolucci F, Jona Lasinio G, Mingione M, Farcomeni A, Srivastava A, Montero-Manso P, Adiga A, Hurt B, Lewis B, Marathe M, Porebski P, Venkatramanan S, Bartczuk RP, Dreger F, Gambin A, Gogolewski K, Gruziel-Slomka M, Krupa B, Moszyński A, Niedzielewski K, Nowosielski J, Radwan M, Rakowski F, Semeniuk M, Szczurek E, Zielinski J, Kisielewski J, Pabjan B, Holger K, Kheifetz Y, Scholz M, Przemyslaw B, Bodych M, Filinski M, Idzikowski R, Krueger T, Ozanski T, Bracher J, Funk S. (2023). Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations. eLife, (12)

Howerton E, Contamin L, Mullany LC, Qin M, Reich NG, Bents S, Borchering RK, Jung SM, Loo SL, Smith CP, Levander J, Kerr J, Espino J, van Panhuis WG, Hochheiser H, Galanti M, Yamana T, Pei S, Shaman J, Rainwater-Lovett K, Kinsey M, Tallaksen K, Wilson S, Shin L, Lemaitre JC, Kaminsky J, Hulse JD, Lee EC, McKee CD, Hill A, Karlen D, Chinazzi M, Davis JT, Mu K, Xiong X, Pastore Y Piontti A, Vespignani A, Rosenstrom ET, Ivy JS, Mayorga ME, Swann JL, España G, Cavany S, Moore S, Perkins A, Hladish T, Pillai A, Ben Toh K, Longini I Jr., Chen S, Paul R, Janies D, Thill JC, Bouchnita A, Bi K, Lachmann M, Fox SJ, Meyers LA, Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Hurt B, Chen J, Mortveit H, Wilson A, Marathe M, Hoops S, Bhattacharya P, Machi D, Cadwell BL, Healy JM, Slayton RB, Johansson MA, Biggerstaff M, Truelove S, Runge MC, Shea K, Viboud C, Lessler J. (2023). Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty. Nature communications, 14(1)

Mathis SM, Webber AE, León TM, Murray EL, Sun M, White LA, Brooks LC, Green A, Hu AJ, McDonald DJ, Rosenfeld R, Shemetov D, Tibshirani RJ, Kandula S, Pei S, Shaman J, Yaari R, Yamana TK, Agarwal P, Balusu S, Gururajan G, Kamarthi H, Prakash BA, Raman R, Rodríguez A, Zhao Z, Meiyappan A, Omar S, Baccam P, Gurung HL, Stage SA, Suchoski BT, Ajelli M, Kummer AG, Litvinova M, Ventura PC, Wadsworth S, Niemi J, Carcelen E, Hill AL, Jung SM, Lemaitre JC, Lessler J, Loo SL, McKee CD, Sato K, Smith C, Truelove S, McAndrew T, Ye W, Bosse N, Hlavacek WS, Lin YT, Mallela A, Chen Y, Lamm SM, Lee J, Posner RG, Perofsky AC, Viboud C, Clemente L, Lu F, Meyer AG, Santillana M, Chinazzi M, Davis JT, Mu K, Piontti APY, Vespignani A, Xiong X, Ben-Nun M, Riley P, Turtle J, Hulme-Lowe C, Jessa S, Nagraj VP, Turner SD, Williams D, Basu A, Drake JM, Fox SJ, Gibson GC, Suez E, Thommes EW, Cojocaru MG, Cramer EY, Gerding A, Stark A, Ray EL, Reich NG, Shandross L, Wattanachit N, Wang Y, Zorn MW, Al Aawar M, Srivastava A, Meyers LA, Adiga A, Hurt B, Kaur G, Lewis BL, Marathe M, Venkatramanan S, Butler P, Farabow A, Muralidhar N, Ramakrishnan N, Reed C, Biggerstaff M, Borchering RK. (2023). Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations. medRxiv : the preprint server for health sciences

Reich NG, Wang Y, Burns M, Ergas R, Cramer EY, Ray EL. (2023). Assessing the utility of COVID-19 case reports as a leading indicator for hospitalization forecasting in the United States. Epidemics, (45)

Howerton E, Contamin L, Mullany LC, Qin M, Reich NG, Bents S, Borchering RK, Jung SM, Loo SL, Smith CP, Levander J, Kerr J, Espino J, van Panhuis WG, Hochheiser H, Galanti M, Yamana T, Pei S, Shaman J, Rainwater-Lovett K, Kinsey M, Tallaksen K, Wilson S, Shin L, Lemaitre JC, Kaminsky J, Hulse JD, Lee EC, McKee C, Hill A, Karlen D, Chinazzi M, Davis JT, Mu K, Xiong X, Piontti APY, Vespignani A, Rosenstrom ET, Ivy JS, Mayorga ME, Swann JL, Espana G, Cavany S, Moore S, Perkins A, Hladish T, Pillai A, Toh KB, Longini I Jr., Chen S, Paul R, Janies D, Thill JC, Bouchnita A, Bi K, Lachmann M, Fox S, Meyers LA, , Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Hurt B, Chen J, Mortveit H, Wilson A, Marathe M, Hoops S, Bhattacharya P, Machi D, Cadwell BL, Healy JM, Slayton RB, Johansson MA, Biggerstaff M, Truelove S, Runge MC, Shea K, Viboud C, Lessler J. (2023). Informing pandemic response in the face of uncertainty. An evaluation of the U.S. COVID-19 Scenario Modeling Hub. medRxiv : the preprint server for health sciences

Gibson GC, Reich NG, Sheldon D. (2023). REAL-TIME MECHANISTIC BAYESIAN FORECASTS OF COVID-19 MORTALITY. The annals of applied statistics, 17(3)

Cramer EY, Huang Y, Wang Y, Ray EL, Cornell M, Bracher J, Brennen A, Rivadeneira AJC, Gerding A, House K, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mody V, Mody V, Niemi J, Stark A, Shah A, Wattanchit N, Zorn MW, Reich NG, . (2022). The United States COVID-19 Forecast Hub dataset. Scientific data, 9(1)

Ray EL, Brooks LC, Bien J, Biggerstaff M, Bosse NI, Bracher J, Cramer EY, Funk S, Gerding A, Johansson MA, Rumack A, Wang Y, Zorn M, Tibshirani RJ, Reich NG. (2022). Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States. International journal of forecasting

Borchering RK, Mullany LC, Howerton E, Chinazzi M, Smith CP, Qin M, Reich NG, Contamin L, Levander J, Kerr J, Espino J, Hochheiser H, Lovett K, Kinsey M, Tallaksen K, Wilson S, Shin L, Lemaitre JC, Hulse JD, Kaminsky J, Lee EC, Hill AL, Davis JT, Mu K, Xiong X, Pastore Y Piontti A, Vespignani A, Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Hurt B, Chen J, Mortveit H, Wilson A, Marathe M, Hoops S, Bhattacharya P, Machi D, Chen S, Paul R, Janies D, Thill JC, Galanti M, Yamana T, Pei S, Shaman J, España G, Cavany S, Moore S, Perkins A, Healy JM, Slayton RB, Johansson MA, Biggerstaff M, Shea K, Truelove SA, Runge MC, Viboud C, Lessler J. (2023). Impact of SARS-CoV-2 vaccination of children ages 5-11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021-March 2022: A multi-model study. Lancet regional health. Americas, (17)

Reich NG, Ray EL. (2022). Collaborative modeling key to improving outbreak response. Proceedings of the National Academy of Sciences of the United States of America, 119(14)

Nixon K, Jindal S, Parker F, Marshall M, Reich NG, Ghobadi K, Lee EC, Truelove S, Gardner L. (2022). Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation. The Lancet. Digital health, 4(10)

Nixon K, Jindal S, Parker F, Reich NG, Ghobadi K, Lee EC, Truelove S, Gardner L. (2022). An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation. The Lancet. Digital health, 4(10)

McAndrew T, Reich NG. (2022). An expert judgment model to predict early stages of the COVID-19 pandemic in the United States. PLoS computational biology, 18(9)

Reich NG, Lessler J, Funk S, Viboud C, Vespignani A, Tibshirani RJ, Shea K, Schienle M, Runge MC, Rosenfeld R, Ray EL, Niehus R, Johnson HC, Johansson MA, Hochheiser H, Gardner L, Bracher J, Borchering RK, Biggerstaff M. (2022). Collaborative Hubs: Making the Most of Predictive Epidemic Modeling. American journal of public health

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)

Pollett S, Johansson MA, Reich NG, Brett-Major D, Del Valle SY, Venkatramanan S, Lowe R, Porco T, Berry IM, Deshpande A, Kraemer MUG, Blazes DL, Pan-Ngum W, Vespigiani A, Mate SE, Silal SP, Kandula S, Sippy R, Quandelacy TM, Morgan JJ, Ball J, Morton LC, Althouse BM, Pavlin J, van Panhuis W, Riley S, Biggerstaff M, Viboud C, Brady O, Rivers C. (2021). Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. PLoS medicine, 18(10)

Bessesen MT, Rattigan S, Frederick J, Cummings DAT, Gaydos CA, Gibert CL, Gorse GJ, Nyquist AC, Price CS, Reich NG, Simberkoff MS, Brown AC, Radonovich LJ Jr., Perl TM, Rodriguez-Barradas MC. (2021). Outpatient Healthcare Personnel Knowledge and Attitudes Towards Infection Prevention Measures for Protection from Respiratory Infections. American journal of infection control

Snyder T, Ravenhurst J, Cramer EY, Reich NG, Balzer L, Alfandari D, Lover AA. (2021). Serological surveys to estimate cumulative incidence of SARS-CoV-2 infection in adults (Sero-MAss study), Massachusetts, July-August 2020: a mail-based cross-sectional study. BMJ open, 11(8)

Borchering RK, Viboud C, Howerton E, Smith CP, Truelove S, Runge MC, Reich NG, Contamin L, Levander J, Salerno J, van Panhuis W, Kinsey M, Tallaksen K, Obrecht RF, Asher L, Costello C, Kelbaugh M, Wilson S, Shin L, Gallagher ME, Mullany LC, Rainwater-Lovett K, Lemaitre JC, Dent J, Grantz KH, Kaminsky J, Lauer SA, Lee EC, Meredith HR, Perez-Saez J, Keegan LT, Karlen D, Chinazzi M, Davis JT, Mu K, Xiong X, Pastore Y Piontti A, Vespignani A, Srivastava A, Porebski P, Venkatramanan S, Adiga A, Lewis B, Klahn B, Outten J, Schlitt J, Corbett P, Telionis PA, Wang L, Peddireddy AS, Hurt B, Chen J, Vullikanti A, Marathe M, Healy JM, Slayton RB, Biggerstaff M, Johansson MA, Shea K, Lessler J. (2021). Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios - United States, April-September 2021. MMWR. Morbidity and Mortality Weekly Report, 70(19)

McAndrew T, Reich NG. (2021). Adaptively stacking ensembles for influenza forecasting. Statistics in medicine

Los J, Gaydos CA, Gibert CL, Gorse GJ, Lykken J, Nyquist AC, Price CS, Radonovich LJ Jr., Rattigan S, Reich N, Rodriguez-Barradas M, Simberkoff M, Bessesen M, Brown A, Cummings DAT, Perl TM,. (2021). Take-Home Kits to Detect Respiratory Viruses among Healthcare Personnel: Lessons Learned from a Cluster Randomized Clinical Trial. American journal of infection control

Simberkoff MS, Rattigan SM, Gaydos CA, Gibert CL, Gorse GJ, Nyquist AC, Price CS, Reich N, Rodriguez-Barradas MC, Bessesen M, Brown A, Cummings DAT, Radonovich LJ, Perl TM, . (2021). Impact of mandatory vaccination of healthcare personnel on rates of influenza and other viral respiratory pathogens. Infection control and hospital epidemiology

Gibson GC, Moran KR, Reich NG, Osthus D. (2020). Improving probabilistic infectious disease forecasting through coherence. PLoS computational biology, 17(1)

Al Hossain F, Lover AA, Corey GA, Reich NG, Rahman T. (2020). FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 4(1)

Brown AC, Lauer SA, Robinson CC, Nyquist AC, Rao S, Reich NG. (2020). Evaluating the ALERT algorithm for local outbreak onset detection in seasonal infectious disease surveillance data. Statistics in medicine

Biggerstaff M, Dahlgren FS, Fitzner J, George D, Hammond A, Hall I, Haw D, Imai N, Johansson MA, Kramer S, McCaw JM, Moss R, Pebody R, Read JM, Reed C, Reich NG, Riley S, Vandemaele K, Viboud C, Wu JT. (2020). Coordinating the real-time use of global influenza activity data for better public health planning. Influenza and other respiratory viruses, 14(2)

McAndrew TC, Reich NG. (2020). An expert judgment model to predict early stages of the COVID-19 outbreak in the United States. medRxiv : the preprint server for health sciences

Weinberger DM, Cohen T, Crawford FW, Mostashari F, Olson D, Pitzer VE, Reich NG, Russi M, Simonsen L, Watkins A, Viboud C. (2020). Estimating the early death toll of COVID-19 in the United States. bioRxiv : the preprint server for biology

McAndrew T, Wattanachit N, Gibson GC, Reich NG. (2020). Aggregating predictions from experts: a review of statistical methods, experiments, and applications. Wiley interdisciplinary reviews. Computational statistics, 13(2)

Lauer SA, Grantz KH, Bi Q, Jones FK, Zheng Q, Meredith HR, Azman AS, Reich NG, Lessler J. (2020). The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Annals of internal medicine

Cummings DAT, Radonovich LJ, Gorse GJ, Gaydos CA, Bessesen MT, Brown AC, Gibert CL, Hitchings MDT, Lessler J, Nyquist AC, Rattigan SM, Rodriguez-Barradas MC, Price CS, Reich NG, Simberkoff MS, Perl TM. (2020). Risk Factors for Healthcare Personnel Infection with Endemic Coronaviruses (HKU1, OC43, NL63, 229E): Results from the Respiratory Protection Effectiveness Clinical Trial (ResPECT). Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Pollett S, Johansson M, Biggerstaff M, Morton LC, Bazaco SL, Brett Major DM, Stewart-Ibarra AM, Pavlin JA, Mate S, Sippy R, Hartman LJ, Reich NG, Maljkovic Berry I, Chretien JP, Althouse BM, Myer D, Viboud C, Rivers C. (2020). Identification and evaluation of epidemic prediction and forecasting reporting guidelines: A systematic review and a call for action. Epidemics, (33)

Weinberger DM, Chen J, Cohen T, Crawford FW, Mostashari F, Olson D, Pitzer VE, Reich NG, Russi M, Simonsen L, Watkins A, Viboud C. (2020). Estimation of Excess Deaths Associated With the COVID-19 Pandemic in the United States, March to May 2020. JAMA internal medicine, 180(10)

Lauer Stephen A, Grantz Kyra H, Bi Qifang, Jones Forrest K, Zheng Qulu, Meredith Hannah, Azman Andrew S, Reich Nicholas G, Lessler Justin. (2019). The incubation period of 2019-nCoV from publicly reported confirmed cases: estimation and application

Reich NG, McGowan CJ, Yamana TK, Tushar A, Ray EL, Osthus D, Kandula S, Brooks LC, Crawford-Crudell W, Gibson GC, Moore E, Silva R, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J. (2019). Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. PLoS computational biology, 15(11)

Reich NG, Osthus D, Ray EL, Yamana TK, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J. (2019). Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretability. Proceedings of the National Academy of Sciences of the United States of America, 116(42)

McGowan CJ, Biggerstaff M, Johansson M, Apfeldorf KM, Ben-Nun M, Brooks L, Convertino M, Erraguntla M, Farrow DC, Freeze J, Ghosh S, Hyun S, Kandula S, Lega J, Liu Y, Michaud N, Morita H, Niemi J, Ramakrishnan N, Ray EL, Reich NG, Riley P, Shaman J, Tibshirani R, Vespignani A, Zhang Q, Reed C, . (2019). Collaborative efforts to forecast seasonal influenza in the United States, 2015-2016. Scientific reports, 9(1)

Reich NG, Brooks LC, Fox SJ, Kandula S, McGowan CJ, Moore E, Osthus D, Ray EL, Tushar A, Yamana TK, Biggerstaff M, Johansson MA, Rosenfeld R, Shaman J. (2019). A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States. Proceedings of the National Academy of Sciences of the United States of America, 116(8)

Rivers C, Chretien JP, Riley S, Pavlin JA, Woodward A, Brett-Major D, Maljkovic Berry I, Morton L, Jarman RG, Biggerstaff M, Johansson MA, Reich NG, Meyer D, Snyder MR, Pollett S. (2019). Using "outbreak science" to strengthen the use of models during epidemics. Nature communications, 10(1)

Johansson MA, Apfeldorf KM, Dobson S, Devita J, Buczak AL, Baugher B, Moniz LJ, Bagley T, Babin SM, Guven E, Yamana TK, Shaman J, Moschou T, Lothian N, Lane A, Osborne G, Jiang G, Brooks LC, Farrow DC, Hyun S, Tibshirani RJ, Rosenfeld R, Lessler J, Reich NG, Cummings DAT, Lauer SA, Moore SM, Clapham HE, Lowe R, Bailey TC, García-Díez M, Carvalho MS, Rodó X, Sardar T, Paul R, Ray EL, Sakrejda K, Brown AC, Meng X, Osoba O, Vardavas R, Manheim D, Moore M, Rao DM, Porco TC, Ackley S, Liu F, Worden L, Convertino M, Liu Y, Reddy A, Ortiz E, Rivero J, Brito H, Juarrero A, Johnson LR, Gramacy RB, Cohen JM, Mordecai EA, Murdock CC, Rohr JR, Ryan SJ, Stewart-Ibarra AM, Weikel DP, Jutla A, Khan R, Poultney M, Colwell RR, Rivera-García B, Barker CM, Bell JE, Biggerstaff M, Swerdlow D, Mier-Y-Teran-Romero L, Forshey BM, Trtanj J, Asher J, Clay M, Margolis HS, Hebbeler AM, George D, Chretien JP. (2019). An open challenge to advance probabilistic forecasting for dengue epidemics. Proceedings of the National Academy of Sciences of the United States of America, 116(48)

George DB, Taylor W, Shaman J, Rivers C, Paul B, O'Toole T, Johansson MA, Hirschman L, Biggerstaff M, Asher J, Reich NG. (2019). Technology to advance infectious disease forecasting for outbreak management. Nature communications, 10(1)

Johansson MA, Reich NG, Meyers LA, Lipsitch M. (2018). Preprints: An underutilized mechanism to accelerate outbreak science. PLoS medicine, 15(4)

Ray EL, Reich NG. (2018). Prediction of infectious disease epidemics via weighted density ensembles. PLoS computational biology, 14(2)

Freeman JR, Whitcomb BW, Roy A, Bertone-Johnson ER, Reich NG, Healy AJ. (2018). A pilot longitudinal study of anti-Müllerian hormone levels throughout gestation in low risk pregnancy. Health science reports, 1(8)

Lauer SA, Sakrejda K, Ray EL, Keegan LT, Bi Q, Suangtho P, Hinjoy S, Iamsirithaworn S, Suthachana S, Laosiritaworn Y, Cummings DAT, Lessler J, Reich NG. (2018). Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010-2014. Proceedings of the National Academy of Sciences of the United States of America, 115(10)

Reich NG, Lessler J, Varma JK, Vora NM. (2018). Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases. Scientific reports, 8(1)

Ray EL, Sakrejda K, Lauer SA, Johansson MA, Reich NG. (2017). Infectious disease prediction with kernel conditional density estimation. Statistics in medicine, 36(30)

Tushar A, Reich NG. (2017). flusight: interactive visualizations for infectious disease forecasts. Journal of open source software, 2(13)

Lessler J, Ott CT, Carcelen AC, Konikoff JM, Williamson J, Bi Q, Kucirka LM, Cummings DA, Reich NG, Chaisson LH. (2016). Times to key events in Zika virus infection and implications for blood donation: a systematic review. Bulletin of the World Health Organization, 94(11)

Reich NG, Lauer SA, Sakrejda K, Iamsirithaworn S, Hinjoy S, Suangtho P, Suthachana S, Clapham HE, Salje H, Cummings DA, Lessler J. (2016). Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand. PLoS neglected tropical diseases, 10(6)

Johansson MA, Reich NG, Hota A, Brownstein JS, Santillana M. (2016). Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico. Scientific reports, (6)

Reich NG, Lessler J, Sakrejda K, Lauer SA, Iamsirithaworn S, Cummings DA. (2016). Case study in evaluating time series prediction models using the relative mean absolute error. The American statistician, 70(3)

Lauer SA, Kleinman KP, Reich NG. (2015). The effect of cluster size variability on statistical power in cluster-randomized trials. PLoS One, 10(4)

Reich NG, Cummings DA, Lauer SA, Zorn M, Robinson C, Nyquist AC, Price CS, Simberkoff M, Radonovich LJ, Perl TM. (2015). Triggering interventions for influenza: the ALERT algorithm. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 60(4)

Lee RM, Lessler J, Lee RA, Rudolph KE, Reich NG, Perl TM, Cummings DA. (2013). Incubation periods of viral gastroenteritis: a systematic review. BMC infectious diseases, (13)

Shardell M, Reich NG, Perencevich EN. (2013). Commentary: Back to the future with Sir Bradford Hill: statistical analysis with hospital-acquired infections. International journal of epidemiology, 42(5)

Reich NG, Shrestha S, King AA, Rohani P, Lessler J, Kalayanarooj S, Yoon IK, Gibbons RV, Burke DS, Cummings DA. (2013). Interactions between serotypes of dengue highlight epidemiological impact of cross-immunity. Journal of the Royal Society, Interface, 10(86)

Reich NG, Lessler J, Cummings DA, Brookmeyer R. (2012). Estimating absolute and relative case fatality ratios from infectious disease surveillance data. Biometrics, 68(2)

Reich NG, Myers JA, Obeng D, Milstone AM, Perl TM. (2012). Empirical power and sample size calculations for cluster-randomized and cluster-randomized crossover studies. PLoS One, 7(4)

Reich NG, Perl TM, Cummings DA, Lessler J. (2011). Visualizing clinical evidence: citation networks for the incubation periods of respiratory viral infections. PLoS One, 6(4)

Reich NG, Lessler J, Chu H, Cole SR. (2011). Identification of the asymptomatic ratio. Epidemiology (Cambridge, Mass.), 22(3)

Lessler J, Brookmeyer R, Reich NG, Nelson KE, Cummings DA, Perl TM. (2010). Identifying the probable timing and setting of respiratory virus infections. Infection control and hospital epidemiology, 31(8)

Lessler J, Reich NG, Cummings DA, , Nair HP, Jordan HT, Thompson N. (2009). Outbreak of 2009 pandemic influenza A (H1N1) at a New York City school. The New England journal of medicine, 361(27)

Lessler J, Reich NG, Brookmeyer R, Perl TM, Nelson KE, Cummings DA. (2009). Incubation periods of acute respiratory viral infections: a systematic review. The Lancet. Infectious diseases, 9(5)

Reich NG, Lessler J, Cummings DA, Brookmeyer R. (2009). Estimating incubation period distributions with coarse data. Statistics in medicine, 28(22)

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