Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1. - Test2 - elhamkhani - TriplyDB

Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.

Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.

http://www.wikidata.org/entity/Q30403117

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Modeling infectious disease dynamics in the complex landscape of global health Potential Biases in Estimating Absolute and Relative Case-Fatality Risks during Outbreaks A systematic review of studies on forecasting the dynamics of influenza outbreaks Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance Accurate estimation of influenza epidemics using Google search data via ARGO Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance Using electronic health records and Internet search information for accurate influenza forecasting.FluMob: Enabling Surveillance of Acute Respiratory Infections in Health-care Workers via Mobile Phones The epidemiology and surveillance response to pandemic influenza A (H1N1) among local health departments in the San Francisco Bay Area Estimating age-specific cumulative incidence for the 2009 influenza pandemic: a meta-analysis of A(H1N1)pdm09 serological studies from 19 countries.The effectiveness of U.S. public health surveillance systems for situational awareness during the 2009 H1N1 pandemic: a retrospective analysis.Key data for outbreak evaluation: building on the Ebola experience.Whole-genome sequencing in outbreak analysis A Simulation Optimization Approach to Epidemic Forecasting.Commentary: lessons learned from case fatality risk estimates of 2009 pandemic influenza.Determining the dynamics of influenza transmission by age Inferring influenza infection attack rate from seroprevalence data Biosurveillance capability requirements for the global health security agenda: lessons from the 2009 H1N1 pandemic The impact of stratified immunity on the transmission dynamics of influenza.Epidemic and intervention modelling--a scientific rationale for policy decisions? Lessons from the 2009 influenza pandemic.Vaccine allocation in a declining epidemic.Sensitivity analysis of an individual-based model for simulation of influenza epidemics.Did advances in global surveillance and notification systems make a difference in the 2009 H1N1 pandemic?--a retrospective analysis.Human infection with avian influenza A H7N9 virus: an assessment of clinical severity.Indemics: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling Four key challenges in infectious disease modelling using data from multiple sources.The epidemiology and surveillance workforce among local health departments in California: mutual aid and surge capacity for routine and emergency infectious disease situations.Opinion: Mathematical models: a key tool for outbreak response.Detecting signals of seasonal influenza severity through age dynamics A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity.If a Global Catastrophic Biological Risk Materializes, at What Stage Will We Recognize It?The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.Quantifying Zika: Advancing the Epidemiology of Zika With Quantitative Models.Resilience management during large-scale epidemic outbreaks.Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis.Legal Authority for Infectious Disease Reporting in the United States: Case Study of the 2009 H1N1 Influenza Pandemic.Preprints: An underutilized mechanism to accelerate outbreak science.Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America

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Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.

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2009 H1n1 Surveillance Group

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Richard T Heffernan

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Stephen C Redd

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Use of cumulative incidence of novel influenza A/H1N1 in foreign travelers to estimate lower bounds on cumulative incidence in Mexico

Absolute humidity and the seasonal onset of influenza in the continental United States

Pandemic potential of a strain of influenza A (H1N1): early findings

Factors that make an infectious disease outbreak controllable

Epidemic influenza and vitamin D

Evolution in health and medicine Sackler colloquium: a public choice framework for controlling transmissible and evolving diseases

Managing and reducing uncertainty in an emerging influenza pandemic

Hedging against antiviral resistance during the next influenza pandemic using small stockpiles of an alternative chemotherapy

Real-time epidemic monitoring and forecasting of H1N1-2009 using influenza-like illness from general practice and family doctor clinics in Singapore

Use of the selective oral neuraminidase inhibitor oseltamivir to prevent influenza

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10.1089/BSP.2011.0007

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