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Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology

Overview of attention for article published in PLOS ONE, February 2013
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Title
Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0056882
Pubmed ID
Authors

James A. Fuller, Aimee Summers, Mark A. Katz, Kim A. Lindblade, Henry Njuguna, Wences Arvelo, Sammy Khagayi, Gideon Emukule, Nivaldo Linares-Perez, John McCracken, D. James Nokes, Mwanajuma Ngama, Sidi Kazungu, Joshua A. Mott, Sonja J. Olsen, Marc-Alain Widdowson, Daniel R. Feikin

Abstract

Knowing the national disease burden of severe influenza in low-income countries can inform policy decisions around influenza treatment and prevention. We present a novel methodology using locally generated data for estimating this burden.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Guatemala 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 26%
Student > Master 21 16%
Student > Ph. D. Student 14 11%
Student > Postgraduate 5 4%
Student > Bachelor 5 4%
Other 18 14%
Unknown 35 27%
Readers by discipline Count As %
Medicine and Dentistry 37 28%
Agricultural and Biological Sciences 15 11%
Immunology and Microbiology 9 7%
Nursing and Health Professions 7 5%
Social Sciences 5 4%
Other 18 14%
Unknown 41 31%