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Assessment of community knowledge and prevention practices of malaria in Mutale Municipality, Vhembe DistrictMunyai, Livhuwani 20 September 2019 (has links)
MPH / Department of Public Health / Background: Malaria is a public health issue killing more than 435 000 people in Sub Saharan
Africa. In South Africa, malaria is endemic in 3 provinces namely: Limpopo, Mpumalanga and
Kwazulu Natal. Limpopo Province contributes more cases than the other provinces in the country.
Purpose: The purpose of the study was to assess community knowledge and prevention
practices of malaria at Masisi village, in Mutale Municipality, Vhembe District. The study was
conducted at Mutale municipality, Vhembe District.
Methodology: A quantitative cross-sectional descriptive approach was used. Data was collected
using a questionnaire with open and close ended questions. The targeted population was made
up of males and females between the ages of 18 to 75. Validity and reliability have been ensured
in the study and the results for reliability were 0.85. Pretesting was done in 5 household at Sanari
village which is near Masisi village as they share the same characteristics. A sample of 152
participants was selected from the target population by means of systematic sampling and then
select them randomly. Questionnaires were used to collect data. There after Data were analyzed
using SPSS version 24.0. The analyzed data were presented in tables, graphs, and in
percentages.
Results: The findings revealed that majority of the participants 103(67.8%) have secondary
education, and most of them, 103(67.8%) are unemployed. The study revealed that about 77%
have knowledge regarding malaria transmission. About 130(85.5%) indicated that malaria is
caused by a mosquito bite. About 57(38.51%) indicated that they use mosquito coils and nets in
their household.
Conclusion: Malaria still poses a threat to the lives of people living in malaria endemic areas.
Community members at Masisi village have better insight regarding malaria transmission, causes
and signs and symptoms. Although the community shows a better understanding of the
prevention method they still has to put this into practice in order to eliminate malaria in the area.
Health workers are doing a great job in educating the community regarding malaria related issues. / NRF
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Integrating indigenous and scientific knowledge in community-based early warning system development for climate-related malaria risk reduction in Mopani District of South AfricaRamutsa, Brenda Nyeverwai January 2020 (has links)
PhD (Geography) / Department of Geography and Geo-Information Sciences / Malaria is a climate-change concatenated biological hazard that may, like any other natural hazard, can lead to a disaster if there is a failure in handling emergencies or risks. A holistic solution for malaria mitigation can be provided when indigenous knowledge is complemented with scientific knowledge. Malaria remains a challenge in South Africa and Limpopo province is the highest burdened malaria-endemic region. Specifically, Vhembe District is the highest burdened followed by Mopani District (Raman et al., 2016). This research sought to mitigate malaria transmissions in Mopani District through the integration of indigenous and scientific knowledge. The study was carried out in Mopani District of South Africa and 4 municipalities were involved. These are Ba-Phalaborwa, Greater Tzaneen, Greater Letaba, and Maruleng. A pragmatism philosophy was adopted hence the study took a mixed approach (sequential multiphase design). Data was collected from 381 selected participants through in-depth interviews, a survey and a focus group discussion. Participants for the in-depth interviews were obtained through snowballing and selected randomly for the survey, while for the focus group discussion purposive sampling was used. The study applied constructivist grounded theory to analyze qualitative data and to generate theory. Statistical Package for Social Sciences version 23.0 was used for quantitative data. Based on empirical findings, it was concluded that temperature and rainfall among other various factors exacerbate malaria transmission in the study area. Results of the study also 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 in the developed early warning system. An Early warning system is an essential tool that builds the capacities of communities so that they can reduce their vulnerability to hazards or disasters. 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 as a further mitigation strategy to the problem of malaria transmission in Mopani District. / NRF
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