AN EARLY WARNING SYSTEM FOR MALARIA IN MOPANI DISTRICT: DIVERGENT OR CONVERGENT APPROACHES

Main Article Content

B.N. Rumutsa
N S Nethengwe

Abstract

Abstract. Malaria is a tropical climate-change concatenated biological hazard that may, like any other hazard, lead
to a disaster and requires a multidisciplinary divergent approach. This research was carried out in Mopani District of
South Africa. It sought find out whether the existing early warning system in Mopani District is adopting a convergent
or divergent approach. Subsequently, this was to assist in developing a tool that covers the loopholes in the existing
system to further mitigate malaria transmissions. The study took a mixed approach. Data was collected from 381
selected participants through in-depth interviews, a survey, and a focus group discussion. Multiple sampling techniques
were used in this study. In-depth interviews respondents were selected through snowballing, questionnaire survey
respondents were sampled randomly, while for the discussants in the focus group discussion were purposively
sampled. The study applied constructivist grounded theory to analyse qualitative data and to generate theory.
Results of the study show that people in Mopani District predict the malaria season onset by forecasting rainfall using
various indigenous knowledge-based indicators. The rainfall indicators mentioned by participants in the study were
used to develop an early warning system. In the design of the system, Apache Cordova, JDK 1.8, Node JS, and
XAMPP software were used. The study recommends malaria management and control key stakeholders to adopt the
developed early warning system to further mitigate malaria transmission in Mopani District.

Article Details

Section
Articles