HIV-AIDS Mobile Application.
a) To provide an accurate and Reliable method of data collection on the number of people who are HIV Positive in different sections of the country
b) To facilitate effective planning by government (Ministry of Health and planning) and non-governmental organizations involved in control
c) To facilitate adoption of effective avenues of HIV Control in different areas of the country based on unambiguous statistics, real data.
HIV is among the diseases that claims a lot of lives in Kenya. This makes it an issue of great concern for the government, Non-government organizations, masses and also individuals. There is necessity, the need for data collection about the real HIV data Statistics. This would help in adoption of most reliable and appropriate measures based on the data which have been collected from different centers across the country.
Currently, Kenya has been using the following statistic sources to estimate the HIV Prevalence in the country
1. The Kenya Demographic and Health Survey of 2003
2. Kenya AIDS Indicator Survey 2007 KAIS 2007
3. Kenya Demographic and Health Survey of 2008/9
4. Kenya AIDS Indicator survey 2012.
Understanding trends in the HIV epidemic and the burden in different Counties is vital in management of the epidemic. The above sources are used for ‘estimation’ when yet we need real data here. The HIV Estimates bring forth a sound reflection on the existing nature of HIV burden and trajectory of the HIV epidemic in the form of prevalence, new infections, AIDS orphans and related deaths. Although prevalence still remains relatively high, combination of increased awareness, scale up of prevention and treatment programs based on the real data will lead to a sustained decline of HIV prevalence in Kenya. The main intent. However, the wide geographic variation in HIV burden directs us to redouble our efforts and commitment to further reduce the burden of HIV and AIDS.
The National AIDS Control Council in consultation with the national and international epidemiologists, demographers, public health experts and monitoring and evaluation specialists undertakes estimation of HIV burden annually. Futures Institute and UNAIDS provide continuous technical support to this process. The estimates are based on data from Kenya Demographic Health Surveys, Kenya AIDs Indicator Surveys, HIV Sentinel Surveillance among pregnant women, data from programs and census.
The estimates use the Estimation and Projection Package and Spectrum tools as recommended by the UNAIDS Reference Group on Estimates,Modelling and Projections. The HIV Estimates is there for scientifically assumed to bring forth a sound reflection on the existing nature of HIV burden and trajectory of the HIV epidemic in the form of prevalence, new infections, AIDS orphans and related deaths. With adult (15-49 years) HIV prevalence estimated at about 6% in 2013 and approximately 1.6 million people living with HIV, Kenya has succeeded in reducing the epidemic through focused interventions to some extent.
In order to achieve this goal and free future generations from AIDS, we require Technology, leadership, political commitment, civil society participation, knowledge capital generation, financial resources, innovations in developing new and affordable medicines and preventive technologies. We also need to tackle the fundamental drivers of the epidemic, particularly gender inequality, poverty, stigma and discrimination in family and health service settings. In doing so, we will achieve our goals.
In order to improve the collection of data about number of people who are really infected, we decided to come up with a mobile application that shall be availed in all Testing enters. At the end of each day a clinical officer in respective centers is obligated to use this application to send the day’s data (About those who tested positive that day based on the category specified) to National Data Grid Centre,remote server. The server will consolidate data from all centers in the country and process them giving out a definite statistical analysis.
Categories are composed based on the following criterion i.e. male, female, children and expectant women. We believe that with this application,government and the Non-Governmental organizations will get correct, reliable and concrete information on the number of people infected and this will facilitate proper planning, appropriate resource allocation, adoption of relevant control measures in different geographical areas of the country. The real data regarding HIV can then be obtained in either processed or unprocessed form from the National Data Grid Centre. This data, evidently is real and different parties can use it based on their analytics needs.
It is our believe that with consistent and appropriate use of this mobile application we hall guarantee accurate information on the HIV disease infection rate, proper resource allocation, relevant control measures (priority) in different areas and proper planning. Getting accurate data on the prevalence of HIV will help the country to achieve its goal of freeing future generations from AIDS,Vision 2030. Let’s embrace.
1. Kenya statistics summary (2002 – present) –World Health Organization.
2. Kenya AIDS Indicator Survey(KAIS 2012)
3. The Kenya Demographic and Health Survey of 2003
4. Kenya AIDS Indicator Survey 2007 KAIS 2007
5. Kenya Demographic and Health Survey of 2008/9
6. Kenya AIDS Indicator survey 2012.