Kenya

Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data.

Publication Date: 
Aug 23, 2017

Human travel can shape infectious disease dynamics by introducing pathogens into susceptible populations or by changing the frequency of contacts between infected and susceptible individuals.

Assessing the feasibility of eHealth and mHealth: a systematic review and analysis of initiatives implemented in Kenya.

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Publication Date: 
Feb 10, 2017

BACKGROUND: The growth of Information and Communication Technology in Kenya has facilitated implementation of a large number of eHealth projects in a bid to cost-effectively address health and health system challenges.

Use of mobile learning technology among final year medical students in Kenya.

Publication Date: 
Sep 02, 2015

INTRODUCTION: Mobile phone penetration has increased exponentially over the last decade as has its application in nearly all spheres of life including health and medical education.

Evaluation of the impact of a mobile health system on adherence to antenatal and postnatal care and prevention of mother-to-child transmission of HIV programs in Kenya.

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Publication Date: 
Apr 18, 2015

BACKGROUND: The Millennium Villages Project (MVP) implemented in Western Kenya a mobile Health tool that uses text messages to coordinate Community Health Worker (CHW) activities around antenatal care (ANC) and Prevention of Mother-to-Child Transmission of HIV (PMTCT), named the ANC/PMTCT Adheren

Peer mentors, mobile phone and pills: collective monitoring and adherence in Kenyatta National Hospital's HIV treatment programme.

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Publication Date: 
Sep 01, 2014

In 2006, the Kenyan state joined the international commitment to make antiretroviral treatment free in public health institutions to people infected with HIV. Less than a decade later, treatment has reached over 60% of those who need it in Kenya.

PGMS: a case study of collecting PDA-based geo-tagged malaria-related survey data.

Publication Date: 
Sep 04, 2014

Using mobile devices, such as personal digital assistants (PDAs), smartphones, tablet computers, etc., to electronically collect malaria-related field data is the way for the field questionnaires in the future.

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