Electronic health utilization in malaria control surveillance based on big data analysis
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Since 2000, malaria mortality rates in Africa have fallen by 66% in all age groups, and by 71% among children under 5  due to the several measures that have been put in place to fight against the infection, some of which are the use of treated insecticide mosquito nets, indoor insecticide spraying and anti-malaria drugs. However, in 2015, 89% (an estimated 188 million cases) of all malaria cases and 91% of all malaria deaths were in Africa. Critical to note is that malaria still kills 395,000 Africans every year, most of whom are children under 5 . About 90% of all these malaria deaths in the world today occur in Africa, mainly Sub-Saharan Africa. Conversely, the Northern most parts of Africa have been able to control or eliminate malaria due to the successful implementation of surveillance techniques which has proved that the traditional malaria intervention techniques are not adequate enough as stand-alone systems to reduce on the prevalence of malaria in the countries  . This study therefore presents a hypothesis that the implementation of effective surveillance techniques will reduce on the number of malaria cases and related deaths through improving on the surveillance outcomes. The study will be conducted in Gulu District, one of the named endemic districts in Northern Uganda in 2017, with key emphasis on data collection from three main health centres in the district. The data collected will be the infected blood samples taken from male (10 infected) and female (10 infected) and in addition children below five years of age (20; 10 female and 10 male). Blood samples from pregnant mothers will also be obtained (10 infected). All these samples will have their corresponding controls. The hypothesis will be broken down into three aims; Aim 1: Devise a means of detecting an antibody antigen complex signal on a malaria strip in real time. Aim 2: Synthesise a response between the Antibody-antigen complex and LED light at different wave lengths and Aim 3: Establish a connection between a rapid diagnostic test reader and a central database through a GSM/GPRS chip placed in the test reader. This study expounds on the above aims with an overall goal of designing a centralised database system that will possess a wireless connection to a malaria RDT strip. When the strip registers a positive reading, data is sent immediately to the database. The system shall hence be able to record the number of infected patients and their Demographic locations. The big data gathered shall be analysed and appropriate actions taken. The anticipated outcome of this research is the improvement of the timeliness of appropriate action, identification of hidden “silent” infections as well as the improvement of the monitoring of the anti-malarial resistance in a timely manner.