Literature DB >> 21612363

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

Marc Lipsitch1, Lyn Finelli, Richard T Heffernan, Gabriel M Leung, Stephen C Redd.   

Abstract

This article synthesizes and extends discussions held during an international meeting on "Surveillance for Decision Making: The Example of 2009 Pandemic Influenza A/H1N1," held at the Center for Communicable Disease Dynamics (CCDD), Harvard School of Public Health, on June 14 and 15, 2010. The meeting involved local, national, and global health authorities and academics representing 7 countries on 4 continents. We define the needs for surveillance in terms of the key decisions that must be made in response to a pandemic: how large a response to mount and which control measures to implement, for whom, and when. In doing so, we specify the quantitative evidence required to make informed decisions. We then describe the sources of surveillance and other population-based data that can presently--or in the future--form the basis for such evidence, and the interpretive tools needed to process raw surveillance data. We describe other inputs to decision making besides epidemiologic and surveillance data, and we conclude with key lessons of the 2009 pandemic for designing and planning surveillance in the future.

Entities:  

Mesh:

Year:  2011        PMID: 21612363      PMCID: PMC3102310          DOI: 10.1089/bsp.2011.0007

Source DB:  PubMed          Journal:  Biosecur Bioterror        ISSN: 1538-7135


  122 in total

1.  Absolute humidity and pandemic versus epidemic influenza.

Authors:  Jeffrey Shaman; Edward Goldstein; Marc Lipsitch
Journal:  Am J Epidemiol       Date:  2010-11-16       Impact factor: 4.897

2.  Estimating in real time the efficacy of measures to control emerging communicable diseases.

Authors:  Simon Cauchemez; Pierre-Yves Boëlle; Guy Thomas; Alain-Jacques Valleron
Journal:  Am J Epidemiol       Date:  2006-08-03       Impact factor: 4.897

3.  How generation intervals shape the relationship between growth rates and reproductive numbers.

Authors:  J Wallinga; M Lipsitch
Journal:  Proc Biol Sci       Date:  2007-02-22       Impact factor: 5.349

4.  Mathematical modelling of the pandemic H1N1 2009.

Authors: 
Journal:  Wkly Epidemiol Rec       Date:  2009-08-21

5.  Prevalence of high-risk indications for influenza vaccine varies by age, race, and income.

Authors:  Richard K Zimmerman; Diane S Lauderdale; Sylvia M Tan; Diane K Wagener
Journal:  Vaccine       Date:  2010-07-30       Impact factor: 3.641

6.  Oseltamivir ring prophylaxis for containment of 2009 H1N1 influenza outbreaks.

Authors:  Vernon J Lee; Jonathan Yap; Alex R Cook; Mark I Chen; Joshua K Tay; Boon Huan Tan; Jin Phang Loh; Seok Wei Chew; Wee Hong Koh; Raymond Lin; Lin Cui; Charlie W H Lee; Wing-Kin Sung; Christopher W Wong; Martin L Hibberd; Wee Lee Kang; Benjamin Seet; Paul A Tambyah
Journal:  N Engl J Med       Date:  2010-06-10       Impact factor: 91.245

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

Authors:  Jeffrey Shaman; Virginia E Pitzer; Cécile Viboud; Bryan T Grenfell; Marc Lipsitch
Journal:  PLoS Biol       Date:  2010-02-23       Impact factor: 8.029

8.  Correlates of severe disease in patients with 2009 pandemic influenza (H1N1) virus infection.

Authors:  Ryan Zarychanski; Tammy L Stuart; Anand Kumar; Steve Doucette; Lawrence Elliott; Joel Kettner; Frank Plummer
Journal:  CMAJ       Date:  2010-01-21       Impact factor: 8.262

9.  Entry screening to delay local transmission of 2009 pandemic influenza A (H1N1).

Authors:  Benjamin J Cowling; Lincoln L H Lau; Peng Wu; Helen W C Wong; Vicky J Fang; Steven Riley; Hiroshi Nishiura
Journal:  BMC Infect Dis       Date:  2010-03-30       Impact factor: 3.090

10.  School closure and mitigation of pandemic (H1N1) 2009, Hong Kong.

Authors:  Joseph T Wu; Benjamin J Cowling; Eric H Y Lau; Dennis K M Ip; Lai-Ming Ho; Thomas Tsang; Shuk-Kwan Chuang; Pak-Yin Leung; Su-Vui Lo; Shao-Haei Liu; Steven Riley
Journal:  Emerg Infect Dis       Date:  2010-03       Impact factor: 6.883

View more
  71 in total

1.  Legal Authority for Infectious Disease Reporting in the United States: Case Study of the 2009 H1N1 Influenza Pandemic.

Authors:  Richard N Danila; Ellen S Laine; Franci Livingston; Kathryn Como-Sabetti; Lauren Lamers; Kelli Johnson; Anne M Barry
Journal:  Am J Public Health       Date:  2015-01       Impact factor: 9.308

2.  Epidemic and intervention modelling--a scientific rationale for policy decisions? Lessons from the 2009 influenza pandemic.

Authors:  Maria D Van Kerkhove; Neil M Ferguson
Journal:  Bull World Health Organ       Date:  2012-04-01       Impact factor: 9.408

3.  Accurate estimation of influenza epidemics using Google search data via ARGO.

Authors:  Shihao Yang; Mauricio Santillana; S C Kou
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-09       Impact factor: 11.205

4.  The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt.

Authors:  Cécile Viboud; Kaiyuan Sun; Robert Gaffey; Marco Ajelli; Laura Fumanelli; Stefano Merler; Qian Zhang; Gerardo Chowell; Lone Simonsen; Alessandro Vespignani
Journal:  Epidemics       Date:  2017-08-26       Impact factor: 4.396

Review 5.  Whole-genome sequencing in outbreak analysis.

Authors:  Carol A Gilchrist; Stephen D Turner; Margaret F Riley; William A Petri; Erik L Hewlett
Journal:  Clin Microbiol Rev       Date:  2015-07       Impact factor: 26.132

6.  The epidemiology and surveillance workforce among local health departments in California: mutual aid and surge capacity for routine and emergency infectious disease situations.

Authors:  Wayne T A Enanoria; Adam W Crawley; Jennifer C Hunter; Jeannie Balido; Tomas J Aragon
Journal:  Public Health Rep       Date:  2014       Impact factor: 2.792

7.  Opinion: Mathematical models: a key tool for outbreak response.

Authors:  Eric T Lofgren; M Elizabeth Halloran; Caitlin M Rivers; John M Drake; Travis C Porco; Bryan Lewis; Wan Yang; Alessandro Vespignani; Jeffrey Shaman; Joseph N S Eisenberg; Marisa C Eisenberg; Madhav Marathe; Samuel V Scarpino; Kathleen A Alexander; Rafael Meza; Matthew J Ferrari; James M Hyman; Lauren A Meyers; Stephen Eubank
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-10       Impact factor: 11.205

8.  Biosurveillance capability requirements for the global health security agenda: lessons from the 2009 H1N1 pandemic.

Authors:  Michael A Stoto
Journal:  Biosecur Bioterror       Date:  2014 Sep-Oct

9.  Indemics: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling.

Authors:  Keith R Bisset; Jiangzhuo Chen; Suruchi Deodhar; Xizhou Feng; Yifei Ma; Madhav V Marathe
Journal:  ACM Trans Model Comput Simul       Date:  2014-01       Impact factor: 1.075

10.  Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity.

Authors:  Elizabeth C Lee; Michael R Kelly; Brad M Ochocki; Segun M Akinwumi; Karen E S Hamre; Joseph H Tien; Marisa C Eisenberg
Journal:  J Theor Biol       Date:  2017-01-24       Impact factor: 2.691

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.