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