(2020) Probing COVID’s complexity in real time. Science.
(2020) Leading with data on the path to normalcy. Tableau.
(2020) Applications of predictive modeling during the early stages of the COVID-19 epidemic The Lancet Digital Health (with Poletto C and Volz E).
(2020) Modelling COVID-19: Realistic models require better data. Nature Reviews Physics (with Shrestha M).
(2020) Sampling bias and incorrect rooting make phylogenetic network tracing of SARS-COV-2 infections unreliable. PNAS (with Mavian C, Pond SK, Marini S, Magalis BR, Vandamme AM, Dellicour S, Houldcroft C, Villabona-Arenas J, Paisie TK, Trovao NS, Boucher C, Zhang Y, Scheuermann RH, Gascuel O, Tsan-Yuk Lam T, Suchard MA, Abecasis A, Wilkinson E, de Oliveira T, Bento AI, Schmidt KA, Martin D, Hadfield J, Faria N, Grubaugh ND, Neher RA, Baele G, Lemey P, Stadler T, Albert J, Crandall KA, Leitner T, Stamatakis A, Prosperi M, & Salemi M).
(2020) Aggregated Mobility Data Could Help Fight COVID-19. Science (with Buckee CO, Balsari S, Chan J, Crosas M, Dominici F, Gasser U, Grad YH, Grenfell B, Halloran ME, Kraemer MUG, Lipsitch M, Metcalf CJE, Meyers LA, Perkins TA, Santillana M, Scarpino SV, Viboud C, Wesolowski A, & Schroeder A).
(2020) Mobile phone data and COVID-19: Missing an opportunity? Science Advances (with Oliver N, Letouzé E, Sterly H, Delataille S, Nadai MD, Lepri B, Lambiotte R, Benjamins R, Cattuto C, Colizza V, de Cordes N, Fraiberger SP, Koebe T, Lehmann S, Murillo J, Pentland A, Pham PN, Pivetta F, Salah AA, Saramäki J, Tizzoni M, Verhulst S, Vinck P).
(2020) COVID-19: Keep calm and wash your hands. Medium.
(2020) Open access epidemiological data from the COVID-19 outbreak. The Lancet Infectious Diseases (with Xu B, Kraemer MUG, and the Open COVID-19 Data Curation Group).
(2019) Uncovering the hidden cost of bed bugs. PNAS (with Althouse BM).
(2019) Why it’s so difficult for scientists to predict the next outbreak of a dangerous disease. The Conversation (with Ogbunu CB and Harp R).
(2018) Modelling the trajectory of disease outbreaks works. Nature (with Rivers CM).
(2018) Epidemic Spreading: Don’t Close the Gates. Nature Physics.
(2017) The flu vaccine is effective. Medium.
(2015) 3 graphs that help show why Ebola goes viral or dies out. Nautilus.
(2014) Mathematical models: A key tool for outbreak response.(with Lofgren ET, Halloran ME, Rivers CM, Drake JM, Porco TC, Lewis BL, Yang W, Vespignani A, Shaman J, Eisenberg JNS, Eisenberg MC, Marathe MV, Alexander KA, Meza R, Ferrari MJ, Hyman JM, Meyers LA, and Eubank SG) Proc. Natl. Acad. Sci. USA.
(2014) Ebola: models do more than forecast. (with Rivers C, Alexander K, Bellan S, Del Valle S, Drake JM, Eisenberg JN, Eubank S, Ferrari M, Halloran ME, Galvani A, Lewis BL, Lewnard J, Lofgren E, Macal C, Marathe M, Ndeffo Mbah M, Meyers LA, Meza R, Park A, Porco T, Shaman J, Vespignani A, and Yang W) Nature.
(2014) Ebola: Mobility data. (with Halloran EM, Vespignani A, Bharti N, Feldstein LR, Alexander K, Ferrari M, Shaman J, Drake JM, Porco T, Eisenberg J, DeValle S, Lofgren E, Eisenberg M, Gao D, Hyman JM, Eubank S, and Longini IM) Science.
(2014) The mathematics of stopping Ebola. Santa Fe New Mexican.
Reproductive Barriers as a Byproduct of Gene Network Evolution (with Yang CH).
Mask wearing and control of SARS-CoV-2 transmission in the United States (with Rader B, White LF, Burns MR, Chen J, Brilliant J, Cohen J, Shaman J, Brilliant L, Hawkins JB, Scarpino SV, Astley C, Brownstein JS).
The unintended consequences of inconsistent pandemic control policies. (with Althouse BM, Wallace B, Case B, Scarpino SV, Berdhal A, White ER, Hebert-Dufresne L).
The role of directionality, heterogeneity and correlations in epidemic risk and spread (with Allard A, Moore C, Althouse BM, Hebert-Dufresne L).
Reshaping a nation: Mobility, commuting, and contact patterns during the COVID-19 outbreak. (with Klein B, LaRock T, McCabe S, Torres L, Privitera F, Lake B, Kraemer MUG, Brownstein JS, Lazer D, Eliassi-Rad T, Vespignani A, and Chinazzi M).
Assessing changes in commuting and individual mobility in major metropolitan areas in the United States during the COVID-19 outbreak. (with Klein B, LaRock T, McCabe S, Torres L, Privitera F, Lake B, Kraemer MUG, Brownstein JS, Lazer D, Eliassi-Rad T, Chinazzi M, and Vespignani A).
Seeding COVID-19 across sub-Saharan Africa: an analysis of reported importation events across 40 countries. (with Skrip LA, Selvaraj P, Hagedorn B, Ouédraogo AL, Noori N, Mistry D, Bedson J, Hébert-Dufresne L, and Althouse BM).
Google searches accurately forecast RSV hospitalizations. (with Althouse BM, Weinberger DM, Pitzer VE, Ayers JW, Wenger W, Chun-Hai Fung I, Dredze M, and Hu H).
The Moose of Isle Royale: An Unnatural Condition? (with Guerrero RF and Scarpino PV).
multiDimBio: An R package for the design, analysis, and visualization of systems biology experiments. (with Crews D and Gillette R).