Report for: Use of Population-based Surveillance to Define the High Incidence of Shigellosis in an Urban Slum in Nairobi, Kenya

Title	Use of Population-based Surveillance to Define the High Incidence of Shigellosis in an Urban Slum in Nairobi, Kenya
Published in	PLOS ONE, March 2013
DOI	10.1371/journal.pone.0058437
Pubmed ID	23505506
Authors	Henry N. Njuguna, Leonard Cosmas, John Williamson, Dhillon Nyachieo, Beatrice Olack, John B. Ochieng, Newton Wamola, Joseph O. Oundo, Daniel R. Feikin, Eric D. Mintz, Robert F. Breiman
Abstract	Worldwide, Shigella causes an estimated 160 million infections and >1 million deaths annually. However, limited incidence data are available from African urban slums. We investigated the epidemiology of shigellosis and drug susceptibility patterns within a densely populated urban settlement in Nairobi, Kenya through population-based surveillance.

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Country	Count	As %
United States	1	100%

Type	Count	As %
Scientists	1	100%

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Readers by professional status	Count	As %
Student > Master	27	22%
Student > Ph. D. Student	17	14%
Researcher	15	12%
Student > Bachelor	10	8%
Other	6	5%
Other	23	19%
Unknown	24	20%

Readers by discipline	Count	As %
Medicine and Dentistry	32	26%
Agricultural and Biological Sciences	18	15%
Environmental Science	9	7%
Nursing and Health Professions	9	7%
Social Sciences	7	6%
Other	16	13%
Unknown	31	25%

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