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Reseach Article

Mobile based Notifiable Disease Surveillance – Case for Kenya

by Christopher A Moturi, Robert Muiruri Kinuthia
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 7
Year of Publication: 2014
Authors: Christopher A Moturi, Robert Muiruri Kinuthia

Christopher A Moturi, Robert Muiruri Kinuthia . Mobile based Notifiable Disease Surveillance – Case for Kenya. International Journal of Computer Applications. 95, 7 ( June 2014), 22-30. DOI=10.5120/16607-6438

@article{ 10.5120/16607-6438,
author = { Christopher A Moturi, Robert Muiruri Kinuthia },
title = { Mobile based Notifiable Disease Surveillance – Case for Kenya },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 7 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-30 },
numpages = {9},
url = { },
doi = { 10.5120/16607-6438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:18:49.275593+05:30
%A Christopher A Moturi
%A Robert Muiruri Kinuthia
%T Mobile based Notifiable Disease Surveillance – Case for Kenya
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 7
%P 22-30
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Identifying infectious disease outbreaks in their early stages is an important task, both for governments and international organizations working in the health sector. This study reviewed the notifiable disease reporting systems in Kenya with an aim of understanding their strengths and weaknesses. We evaluated the performance of the present notifiable disease reporting systems, assessed the preparedness of the disease notifiers for the task of reporting notifiable diseases, assessed the readiness of people who participate in disease reporting in the use of computers and mobile systems in disease surveillance, and we developed a mobile based disease surveillance prototype that can report and analyze notifiable disease data to recognize disease outbreaks early. The study targeted medical personnel who presently participate in the reporting and analysis of notifiable disease data in the Nairobi Metropolitan Region. Mobile systems are best to improve the disease reporting and analysis process because of their low cost, widespread use and minimum training required.

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Index Terms

Computer Science
Information Sciences


Notifiable Disease Notifiable Disease System Disease Surveillance Mobile Disease Surveillance.