Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Development and validation of influenza forecasting for 64 temperate and tropical countries
by
Shaman, Jeffrey
, Kramer, Sarah C.
in
Accuracy
/ Computer Simulation
/ Decision making
/ Disease Outbreaks - statistics & numerical data
/ Distribution
/ Earth Sciences
/ Environmental health
/ Epidemics
/ Forecasting
/ Forecasting - methods
/ Forecasts and trends
/ Health sciences
/ Humans
/ Humidity
/ Illnesses
/ Incidence
/ Infectious diseases
/ Influenza
/ Influenza, Human - epidemiology
/ Lead time
/ Medicine and Health Sciences
/ Models, Statistical
/ Outbreaks
/ Outdoor air quality
/ Pandemics
/ Physical Sciences
/ Pneumonia
/ Public health
/ Research and Analysis Methods
/ Retrospective Studies
/ Seasons
/ Tropical environments
2019
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Development and validation of influenza forecasting for 64 temperate and tropical countries
by
Shaman, Jeffrey
, Kramer, Sarah C.
in
Accuracy
/ Computer Simulation
/ Decision making
/ Disease Outbreaks - statistics & numerical data
/ Distribution
/ Earth Sciences
/ Environmental health
/ Epidemics
/ Forecasting
/ Forecasting - methods
/ Forecasts and trends
/ Health sciences
/ Humans
/ Humidity
/ Illnesses
/ Incidence
/ Infectious diseases
/ Influenza
/ Influenza, Human - epidemiology
/ Lead time
/ Medicine and Health Sciences
/ Models, Statistical
/ Outbreaks
/ Outdoor air quality
/ Pandemics
/ Physical Sciences
/ Pneumonia
/ Public health
/ Research and Analysis Methods
/ Retrospective Studies
/ Seasons
/ Tropical environments
2019
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Development and validation of influenza forecasting for 64 temperate and tropical countries
by
Shaman, Jeffrey
, Kramer, Sarah C.
in
Accuracy
/ Computer Simulation
/ Decision making
/ Disease Outbreaks - statistics & numerical data
/ Distribution
/ Earth Sciences
/ Environmental health
/ Epidemics
/ Forecasting
/ Forecasting - methods
/ Forecasts and trends
/ Health sciences
/ Humans
/ Humidity
/ Illnesses
/ Incidence
/ Infectious diseases
/ Influenza
/ Influenza, Human - epidemiology
/ Lead time
/ Medicine and Health Sciences
/ Models, Statistical
/ Outbreaks
/ Outdoor air quality
/ Pandemics
/ Physical Sciences
/ Pneumonia
/ Public health
/ Research and Analysis Methods
/ Retrospective Studies
/ Seasons
/ Tropical environments
2019
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Development and validation of influenza forecasting for 64 temperate and tropical countries
Journal Article
Development and validation of influenza forecasting for 64 temperate and tropical countries
2019
Request Book From Autostore
and Choose the Collection Method
Overview
Accurate forecasts of influenza incidence can be used to inform medical and public health decision-making and response efforts. However, forecasting systems are uncommon in most countries, with a few notable exceptions. Here we use publicly available data from the World Health Organization to generate retrospective forecasts of influenza peak timing and peak intensity for 64 countries, including 18 tropical and subtropical countries. We find that accurate and well-calibrated forecasts can be generated for countries in temperate regions, with peak timing and intensity accuracy exceeding 50% at four and two weeks prior to the predicted epidemic peak, respectively. Forecasts are significantly less accurate in the tropics and subtropics for both peak timing and intensity. This work indicates that, in temperate regions around the world, forecasts can be generated with sufficient lead time to prepare for upcoming outbreak peak incidence.
Publisher
Public Library of Science,Public Library of Science (PLoS)
MBRLCatalogueRelatedBooks
Related Items
Related Items
We currently cannot retrieve any items related to this title. Kindly check back at a later time.
This website uses cookies to ensure you get the best experience on our website.