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Probabilistic forecasts of trachoma transmission at the district level: A statistical model comparison.

PubWeight™: 0.75‹?›

🔗 View Article (PMID 28279456)

Published in Epidemics on March 01, 2017

Authors

Amy Pinsent1, Fengchen Liu2, Michael Deiner3, Paul Emerson4, Ana Bhaktiari5, Travis C Porco6, Thomas Lietman7, Manoj Gambhir8

Author Affiliations

1: Department of Public Health and Preventative Medicine, Monash University, Melbourne, Australia. Electronic address: amy.pinsent@monash.edu.
2: F.I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA.
3: F.I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California San Francisco, San Francisco, CA, USA.
4: International Trachoma Initiative, Atlanta, GA, USA; School of Public Health, Emory University, Atlanta, GA, USA.
5: International Trachoma Initiative, Atlanta, GA, USA.
6: F.I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
7: F.I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA; Department of Ophthalmology, University of California San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA; Global Health Sciences, University of California San Francisco, San Francisco, CA, USA.
8: Department of Public Health and Preventative Medicine, Monash University, Melbourne, Australia.

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