↓ Skip to main content

PLOS

Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya

Overview of attention for article published in PLOS ONE, April 2012
Altmetric Badge

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
180 Dimensions

Readers on

mendeley
266 Mendeley
citeulike
1 CiteULike
Title
Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035319
Pubmed ID
Authors

Amy Wesolowski, Nathan Eagle, Abdisalan M. Noor, Robert W. Snow, Caroline O. Buckee

Abstract

The rapid adoption of mobile phone technologies in Africa is offering exciting opportunities for engaging with high-risk populations through mHealth programs, and the vast volumes of behavioral data being generated as people use their phones provide valuable data about human behavioral dynamics in these regions. Taking advantage of these opportunities requires an understanding of the penetration of mobile phones and phone usage patterns across the continent, but very little is known about the social and geographical heterogeneities in mobile phone ownership among African populations. Here, we analyze a survey of mobile phone ownership and usage across Kenya in 2009 and show that distinct regional, gender-related, and socioeconomic variations exist, with particularly low ownership among rural communities and poor people. We also examine patterns of phone sharing and highlight the contrasting relationships between ownership and sharing in different parts of the country. This heterogeneous penetration of mobile phones has important implications for the use of mobile technologies as a source of population data and as a public health tool in sub-Saharan Africa.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Kenya 3 1%
Italy 2 <1%
South Africa 2 <1%
Australia 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Japan 1 <1%
Sri Lanka 1 <1%
Other 0 0%
Unknown 247 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 23%
Student > Ph. D. Student 58 22%
Researcher 49 18%
Student > Bachelor 21 8%
Student > Doctoral Student 13 5%
Other 34 13%
Unknown 31 12%
Readers by discipline Count As %
Social Sciences 45 17%
Medicine and Dentistry 44 17%
Computer Science 38 14%
Nursing and Health Professions 18 7%
Agricultural and Biological Sciences 14 5%
Other 62 23%
Unknown 45 17%