Opinion: Mathematical models: a key tool for outbreak response

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 51, 2014, Pages 18095-18096

  Lofgren, Eric T ^a   Halloran, M Elizabeth ^b   Rivers, Caitlin M ^a   Drake, John M ^c   Porco, Travis C ^d   Lewis, Bryan ^a   Yang, Wan ^e   Vespignani, Alessandro ^f   Shaman, Jeffrey ^e   Eisenberg, Joseph N S ^g   Eisenberg, Marisa C ^g   Marathe, Madhav ^a,h   Scarpino, Samuel V ⁱ   Alexander, Kathleen A ^j   Meza, Rafael ^g   Ferrari, Matthew J ^k   Hyman, James M ^l   Meyers, Lauren A ^m   Eubank, Stephen ^a  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

^b Fred Hutchinson Cancer Research Center   (United States)

^c UNIVERSITY OF GEORGIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e Department of Environmental Health Sciences Mailman School of Public Health Columbia University ^*  (United States)

^f NORTHEASTERN UNIVERSITY   (United States)

^g UNIVERSITY OF MICHIGAN   (United States)

^h State University   (United States)

ⁱ SANTA FE INSTITUTE   (United States)

^j VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^k PENNSYLVANIA STATE UNIVERSITY   (United States)

^l Tulane University   (United States)

^m UNIVERSITY OF TEXAS AT AUSTIN   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AFRICA; CENTRAL AFRICA; EBOLA HEMORRHAGIC FEVER; EPIDEMIC; FORECASTING; HUMAN; INFLUENZA; INFLUENZA VIRUS A H1N1; MATHEMATICAL MODEL; NATIONAL HEALTH ORGANIZATION; NOTE; PREDICTION; RISK ASSESSMENT; RURAL POPULATION; STOCHASTIC MODEL; UNCERTAINTY; AWARENESS; DISASTER PLANNING; STATISTICAL MODEL;

AWARENESS; DISASTER PLANNING; DISEASE OUTBREAKS; HUMANS; MODELS, STATISTICAL;

EID: 84919884444     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1421551111     Document Type: Note

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