Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples

scientific article published on 10 December 2019

Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1186/S12889-019-7966-8
P932PMC publication ID6902553
P698PubMed publication ID31823751

P50authorSharon K GreeneQ56806940
Chelsea S LutzQ61158555
P2093author name stringAlan Siniscalchi
Michael A Johansson
Matthew Biggerstaff
F Scott Dahlgren
Monica Schroeder
Osaro Mgbere
Gregory Danyluk
Amy D Sullivan
Nicole West
Danielle Fernandez
Nodar Kipshidze
Leann Liu
Sophia Anyatonwu
Jennifer F Myers
Lisa A McHugh
Mimi P Huynh
P2860cites workModeling infectious disease dynamics in the complex landscape of global healthQ24277713
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The annual impact of seasonal influenza in the US: Measuring disease burden and costsQ29030744
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Infectious disease modeling methods as tools for informing response to novel influenza viruses of unknown pandemic potential.Q30373735
Seasonal and pandemic influenza surveillance considerations for constructing multicomponent systemsQ30377815
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Influenza virus evolution, host adaptation, and pandemic formationQ30390262
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Forecasting influenza outbreak dynamics in Melbourne from Internet search query surveillance dataQ31043816
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Improved Discrimination of Influenza Forecast Accuracy Using Consecutive PredictionsQ35825564
Forecasting Influenza Outbreaks in Boroughs and Neighborhoods of New York CityQ36194962
Epidemic Forecasting is Messier Than Weather Forecasting: The Role of Human Behavior and Internet Data Streams in Epidemic ForecastQ38156620
Update: Influenza Activity in the United States During the 2016-17 Season and Composition of the 2017-18 Influenza VaccineQ38702418
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Influenza Activity - United States, 2015-16 Season and Composition of the 2016-17 Influenza VaccineQ39696596
Influenza activity - United States, 2014-15 season and composition of the 2015-16 influenza vaccineQ40870040
The measurement of performance in probabilistic diagnosis. II. Trustworthiness of the exact values of the diagnostic probabilitiesQ40982520
Subregional Nowcasts of Seasonal Influenza Using Search Trends.Q47093572
Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis.Q47742198
Results from the second year of a collaborative effort to forecast influenza seasons in the United StatesQ50420774
Update: Influenza Activity in the United States During the 2017-18 Season and Composition of the 2018-19 Influenza Vaccine.Q55339400
Agent-based models of malaria transmission: a systematic reviewQ56342178
How emergency managers (mis?)interpret forecastsQ57093997
Assessing the Use of Influenza Forecasts and Epidemiological Modeling in Public Health Decision Making in the United StatesQ58771032
Identifying Areas at Greatest Risk for Recent Zika Virus Importation - New York City, 2016Q59351927
Collaborative efforts to forecast seasonal influenza in the United States, 2015-2016Q61444451
Reply to Bracher: Scoring probabilistic forecasts to maximize public health interpretabilityQ90316568
P433issue1
P921main subjectinfectious diseaseQ18123741
P304page(s)1659
P577publication date2019-12-10
P1433published inBMC Public HealthQ15767009
P1476titleApplying infectious disease forecasting to public health: a path forward using influenza forecasting examples
P478volume19

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Q93273429Forecasting the Impact of Coronavirus Disease During Delivery Hospitalization: An Aid for Resources Utilizationcites workP2860

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