Development of a Java-Based Informatics Software for Generating House Setups and Water-Holding Breeding Containers for Predictive Computational Models of Disease-Transmitting Vectors

Abstract

Disease transmitting vectors aid the transmission of diseases such as malaria, which in turn negatively affects public health. Software engineering principles can be adopted to develop software that can be used to generate house setup environments that have breeding sites and individual water- holding containers where such vectors can develop and complete their lifecycle and migration. It is also to detail the way such vectors transmit different diseases, thereby assisting to model the most efficient methods to combat such vectors and diseases. In our work, we utilized Java programming language to develop Java-based Informatics software (henceforth, Malaria Analysis GUI software). Our Malaria Analysis GUI software was able to generate house setup files with corresponding breeding containers for Anopheles mosquitoes on a small scale and on a large scale. The files were tested with two different computational models (ANOSPEX computational model and JASPEX computational model), and the results were good. Furthermore, results revealed that as house dimensions increase, the sizes of house setups and breeding container files increase linearly, with time, which portends an asymptotic upper bound notation of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$O(n). O(n)$</tex> is a gold standard for algorithm comparison. High-Performance Computing (HPC) machines can be explored to handle very large house setup and water-holding breeding container files for future work.