In light of the 2009 influenza pandemic and potential future pandemics, Maria Van Kerkhove and colleagues anticipate six public health challenges and the data needed to support sound public health decision making

A Monto

C Fraser

Cathy E. Roth

Christophe Fraser

D Sissoko

David K. Shay

Derek J. Smith

DJ Faix

DJ Smith

Emma S. McBryde

Gabriel M. Leung

HW Hethcote

I Longini

Ira M. Longini

J Mossong

J Wallinga

J Wu

Jacco Wallinga

JAP Heesterbeek

Jean-Claude Desenclos

JP Fox

JR Ortiz

JT Wu

K Hancock

L Vaillant

M Lipsitch

Marc Lipsitch

Maria D. Van Kerkhove

Neil M. Ferguson

Niels G. Becker

P Gérardin

Peter J. White

RJ Garten

S Cauchemez

Steven Bjorge

Steven Riley

Thais dos Santos

Tommi Asikainen

W Thompson

PLoS Medicine

English

PubMed

The emergence and global spread of a novel strain of human influenza A/H1N1 during 2009 (pandemic [H1N1] 2009 influenza, or H1N1pdm) has highlighted the importance of data from both detailed outbreak investigations and population surveillance for the support of public health decision making. For example, public health organizations in several countries undertook detailed case investigations to build databases of the first few hundred cases, which include laboratory confirmation status, age, relative severity, exposure history, onset of symptoms, and contact history (for example, the UK First Few Hundred project [1]). Descriptive analyses of such data allowed decision-makers to conclude rapidly that the disease caused by the novel strain was relatively mild for the majority of confirmed cases and that it was being transmitted efficiently between children. Therefore, most countries decided that stringent interventions at the community level (such as proactive school closures) were not appropriate, because their benefits were limited when compared with the high overall cost to society. Population surveillance was also crucial in the early stages of the pandemic. Indeed, the two independent influenza cases [2] that provided the viral isolates used to discern the presence of a novel strain were obtained through a sentinel surveillance system designed for exactly that purpose [3]

Van Kerkhove, Maria D.

Asikainen, Tommi

Becker, Niels G.

Bjorge, Steven

Desenclos, Jean-Claude

dos Santos, Thais

Fraser, Christophe

Leung, Gabriel M.

Lipsitch, Marc

Longini, Ira M.

McBryde, Emma S.

Roth, Cathy E.

Shay, David K.

Smith, Derek J.

Wallinga, Jacco

White, Peter J.

Ferguson, Neil M.

Riley, Steven

ResearchOnline at James Cook University

Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: insights from modeling

Smith, Derek

Harvard University - DASH 

Studies Needed to Address Public Health Challenges of the 2009 H1N1 Influenza Pandemic: Insights from Modeling

Van Kerkhove Maria D.

Asikainen Tommi

Becker Niels G.

Bjorge Steven

Desenclos Jean-Claude

dos Santos Thais

Fraser Christophe

Leung Gabriel M.

Lipsitch Marc

Longini Ira M.

McBryde Emma S.

Roth Cathy E.

Shay David K.

Smith Derek J.

Wallinga Jacco

White Peter J.

Ferguson Neil M.

Riley Steven

Public Library of Science (PLOS)

Maria D Van Kerkhove

Niels G Becker

Gabriel M Leung

Ira M Longini

Emma S McBryde

Cathy E Roth

David K Shay

Derek J Smith

Peter J White

Neil M Ferguson

WHO Informal Network for Mathematical Modelling for Pandemic Influenza H1N1 2009 (Working Group on Data Needs)

Directory of Open Access Journals

Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: insights from modeling.

Kerkhove, M.D. (Maria) van

Asikainen, T. (Tommi)

Becker, N.G. (Niels)

Bjorge, S. (Steven)

Desenclos, J.C.

Santos, T.D.

Fraser, C. (Christophe)

Leung, G.M. (Gabriel)

Lipsitch, M. (Marc)

Longini, I.M. (Ira)

Mcbryde, E.S. (Emma)

Roth, C.E. (Cathy)

Shay, D.K. (David)

Smith, D.J. (Derek James)

Wallinga, J. (Jacco)

White, P.J. (Peter)

Ferguson, N.M. (Neil)

Riley, S. (Steven)

Erasmus University Digital Repository

Studies needed to address public health challenges of the 2009 H1N1 influenza pandemic: Insights from modeling

Crossref

Van Kerkhove, MD

Asikainen, T

Becker, NG

Bjorge, S

Desenclos, J-C

dos Santos, T

Fraser, C

Leung, GM

Lipsitch, M

Longini, IM

McBryde, ES

Roth, CE

Shay, DK

Smith, DJ

Wallinga, J

White, PJ

Ferguson, NM

Riley, S

University of Melbourne Institutional Repository

Desenclos, JC

Santos, TD

Longini Jr, IM

Mcbryde, ES

HKU Scholars Hub

CDC H1N1 Flu: Clinical Data Collection Forms and Templates for Collection of Information on

Cross-Reactive Antibody Responses to the 2009 Pandemic H1N1 Influenza Virus.

Disease Control and Prevention (CDC)

e1000275influenza and respiratory syncytial virus in the United States.

epidemic intelligence team at InVS

Estimates of US influenza-associated deaths made using four different methods.

Estimating Chikungunya prevalence in La Re ´union Island outbreak by serosurveys: two methods for two critical times of the epidemic.

Heesterbeek JAP (2002) A brief history of R0 and a recipe for its calculation.

Household Transmission of 2009 Pandemic Influenza A (H1N1) Virus in the United States.

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

How to maintain surveillance for novel influenza A H1N1 when there are too many cases to count.

Human infection with pandemic (H1N1) 2009 virus: updated interim WHO guidance on global surveillance. Available http://www. who.int/csr/resources/publications/swineflu/ interim_guidance/en/index.html. World Health Organization.

Influenza A Virus Investigation Team

Influenzavirus infections in Seattle families, 1975-1979. I. Study design, methods and the occurrence of infections by time and age.

Mapping the Antigenic and Genetic Evolution of Influenza Virus.

Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings.

Preliminary information important for understanding the evolving situation. Pandemic (H1N1) 2009 briefing note 4. Available: http:// www.who.int/csr/disease/swineflu/notes/h1n1_ situation_20090724/en/index.html.

Rapid-test sensitivity for novel swine-origin influenza A (H1N1) virus in humans.

Reduced transmissibility of pandemic influenza A (H1N1) associated with school closure and summer vacation, Hong Kong,

Reducing the Impact of the Next Influenza Pandemic Using Household-Based Public Health Interventions. PLoS Med 3: e361. doi:10.1371/ journal.pmed.0030361.

Seroprevalence and risk factors of chikungunya virus infection in Mayotte, Indian Ocean, 2005-2006: a population-based survey.

Social contacts and mixing patterns relevant to the spread of infectious diseases.

Statistical inference for infectious diseases. Risk-specific household and community transmission parameters.

Strategy to Enhance Influenza Surveillance Worldwide. Emerging Infect Dis

Tecumseh study of illness. XIII. Influenza infection and disease,

The mathematics of infectious diseases.

World Health Organization (WHO)

file:///data/core-remote/dit/data/public_library_of_science/pdf/661/ZnRwOi8vZnRwLm5jYmkubmxtLm5paC5nb3YvcHViL3BtYy9vYV9wYWNrYWdlLzE3LzBiL1BNQzI4Nzk0MDkudGFyLmd6.pdf

Studies Needed to Address Public Health Challenges of the 2009 H1N1 Influenza Pandemic: Insights from Modeling

Abstract

Similar works

Full text

Available Versions

ResearchOnline at James Cook University

Harvard University - DASH

Public Library of Science (PLOS)

Public Library of Science (PLOS)

Directory of Open Access Journals

Erasmus University Digital Repository

Crossref

University of Melbourne Institutional Repository

HKU Scholars Hub