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1.

A systematic review of studies on forecasting the dynamics of influenza outbreaks.

Nsoesie EO, Brownstein JS, Ramakrishnan N, Marathe MV.

Influenza Other Respir Viruses. 2014 May;8(3):309-16. doi: 10.1111/irv.12226. Epub 2013 Dec 23. Review.

2.

Forecasting seasonal outbreaks of influenza.

Shaman J, Karspeck A.

Proc Natl Acad Sci U S A. 2012 Dec 11;109(50):20425-30. doi: 10.1073/pnas.1208772109. Epub 2012 Nov 26.

3.

Influenza forecasting in human populations: a scoping review.

Chretien JP, George D, Shaman J, Chitale RA, McKenzie FE.

PLoS One. 2014 Apr 8;9(4):e94130. doi: 10.1371/journal.pone.0094130. eCollection 2014. Review.

4.

Real-time influenza forecasts during the 2012-2013 season.

Shaman J, Karspeck A, Yang W, Tamerius J, Lipsitch M.

Nat Commun. 2013;4:2837. doi: 10.1038/ncomms3837.

5.

Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska.

Araz OM, Bentley D, Muelleman RL.

Am J Emerg Med. 2014 Sep;32(9):1016-23. doi: 10.1016/j.ajem.2014.05.052. Epub 2014 Jun 12.

PMID:
25037278
6.

Influenza forecasting with Google Flu Trends.

Dugas AF, Jalalpour M, Gel Y, Levin S, Torcaso F, Igusa T, Rothman RE.

PLoS One. 2013;8(2):e56176. doi: 10.1371/journal.pone.0056176. Epub 2013 Feb 14.

7.
8.

Part 4. Interaction between air pollution and respiratory viruses: time-series study of daily mortality and hospital admissions in Hong Kong.

Wong CM, Thach TQ, Chau PY, Chan EK, Chung RY, Ou CQ, Yang L, Peiris JS, Thomas GN, Lam TH, Wong TW, Hedley AJ; HEI Health Review Committee.

Res Rep Health Eff Inst. 2010 Nov;(154):283-362.

PMID:
21446214
9.

Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm.

Tizzoni M, Bajardi P, Poletto C, Ramasco JJ, Balcan D, Gonçalves B, Perra N, Colizza V, Vespignani A.

BMC Med. 2012 Dec 13;10:165. doi: 10.1186/1741-7015-10-165.

10.

Real-time epidemic forecasting for pandemic influenza.

Hall IM, Gani R, Hughes HE, Leach S.

Epidemiol Infect. 2007 Apr;135(3):372-85. Epub 2006 Aug 24.

11.

The feasibility of forecasting influenza epidemics in Cuba.

Aguirre A, Gonzalez E.

Mem Inst Oswaldo Cruz. 1992 Jul-Sep;87(3):429-32.

12.
13.

A Dirichlet process model for classifying and forecasting epidemic curves.

Nsoesie EO, Leman SC, Marathe MV.

BMC Infect Dis. 2014 Jan 9;14:12. doi: 10.1186/1471-2334-14-12.

14.

Prediction of the spread of influenza epidemics by the method of analogues.

Viboud C, Boëlle PY, Carrat F, Valleron AJ, Flahault A.

Am J Epidemiol. 2003 Nov 15;158(10):996-1006.

15.

Multiannual forecasting of seasonal influenza dynamics reveals climatic and evolutionary drivers.

Axelsen JB, Yaari R, Grenfell BT, Stone L.

Proc Natl Acad Sci U S A. 2014 Jul 1;111(26):9538-42. doi: 10.1073/pnas.1321656111. Epub 2014 Jun 16.

16.

Assessing the impact of airline travel on the geographic spread of pandemic influenza.

Grais RF, Ellis JH, Glass GE.

Eur J Epidemiol. 2003;18(11):1065-72. Erratum in: Eur J Epidemiol. 2004;19(4):395.

PMID:
14620941
17.

Forecasting Influenza Epidemics in Hong Kong.

Yang W, Cowling BJ, Lau EH, Shaman J.

PLoS Comput Biol. 2015 Jul 30;11(7):e1004383. doi: 10.1371/journal.pcbi.1004383. eCollection 2015 Jul.

PMID:
26226185
18.

Statistical modelling of measles and influenza outbreaks.

Cliff AD, Haggett P.

Stat Methods Med Res. 1993;2(1):43-73. Review.

PMID:
8261250
19.

Predictions by early indicators of the time and height of the peaks of yearly influenza outbreaks in Sweden.

Andersson E, Kühlmann-Berenzon S, Linde A, Schiöler L, Rubinova S, Frisén M.

Scand J Public Health. 2008 Jul;36(5):475-82. doi: 10.1177/1403494808089566. Epub 2008 Jun 20.

PMID:
18567652
20.

Performance of eHealth data sources in local influenza surveillance: a 5-year open cohort study.

Timpka T, Spreco A, Dahlström Ö, Eriksson O, Gursky E, Ekberg J, Blomqvist E, Strömgren M, Karlsson D, Eriksson H, Nyce J, Hinkula J, Holm E.

J Med Internet Res. 2014 Apr 28;16(4):e116. doi: 10.2196/jmir.3099.

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