Authors : Jabulile Masilela, Tichavasia Alex Dandadzi, Ntsoka Mathiba, Senate Mafike, Tsakani Violet Ndobe and Taurai Hungwe
Abstract: Rural communities are to a larger extent marginalised resulting in huge populations migrating to urban areas. This study looked at the poor rural people of Vezubuhle with their struggle of poor healthcare facilities. The region has three sections with two clinics situated in sections with the least population. How that decision on the two clinics was reached has no scientific basis as section with the largest population has none. A mixed research method was followed and scientific modelling based on statistical and artificial intelligence methods used. This resulted in an innovative software solution developed giving optimal results free of bias, corruption, or favouritism that can be adopted to any other environment (s) with easy. Authorities in position of power are therefore, advised to embrace use of technology, not only does it bring about efficiency, it can be a huge driving force in attracting investments for the development of rural areas. There must also be community involvement if any project affecting its livelihoodis to be a success.
Jabulile Masilela, Tichavasia Alex Dandadzi, Ntsoka Mathiba, Senate Mafike, Tsakani Violet Ndobe and Taurai Hungwe, 2020. Optimal Rural Clinic Location Determination using Scientific Modelling. Journal of Engineering and Applied Sciences, 15: 3574-3580.