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Literature DB >> 19760325

A call for "Smart Surveillance": a lesson learned from H1N1.

Peter Daszak.

Abstract

Entities: Species

Mesh：

Year: 2009 PMID： 19760325 DOI： 10.1007/s10393-009-0253-x

Source DB: PubMed Journal: Ecohealth ISSN： 1612-9202 Impact factor: 3.184

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3 in total

1. Predicting the global spread of H5N1 avian influenza.

Authors: A Marm Kilpatrick; Aleksei A Chmura; David W Gibbons; Robert C Fleischer; Peter P Marra; Peter Daszak
Journal: Proc Natl Acad Sci U S A Date: 2006-12-07 Impact factor: 11.205

2. Global trends in emerging infectious diseases.

Authors: Kate E Jones; Nikkita G Patel; Marc A Levy; Adam Storeygard; Deborah Balk; John L Gittleman; Peter Daszak
Journal: Nature Date: 2008-02-21 Impact factor: 49.962

3. Industrial food animal production and global health risks: exploring the ecosystems and economics of avian influenza.

Authors: Jessica H Leibler; Joachim Otte; David Roland-Holst; Dirk U Pfeiffer; Ricardo Soares Magalhaes; Jonathan Rushton; Jay P Graham; Ellen K Silbergeld
Journal: Ecohealth Date: 2009-05-13 Impact factor: 3.184

3 in total

6 in total

1. A focused ethnographic study of Alberta cattle veterinarians' decision making about diagnostic laboratory submissions and perceptions of surveillance programs.

Authors: Kate Sawford; Ardene Robinson Vollman; Craig Stephen
Journal: PLoS One Date: 2013-05-31 Impact factor: 3.240

A call for "Smart Surveillance": a lesson learned from H1N1.

1. Predicting the global spread of H5N1 avian influenza.

2. Global trends in emerging infectious diseases.

3. Industrial food animal production and global health risks: exploring the ecosystems and economics of avian influenza.

1. A focused ethnographic study of Alberta cattle veterinarians' decision making about diagnostic laboratory submissions and perceptions of surveillance programs.

Review 2. Towards a genomics-informed, real-time, global pathogen surveillance system.

3. Tissue tropism and transmission ecology predict virulence of human RNA viruses.

4. Quantifying Global Drivers of Zoonotic Bat Viruses: A Process-Based Perspective.

Review 5. Disease prediction models and operational readiness.

6. Surveillance for emerging biodiversity diseases of wildlife.