Meteorological influences on malaria transmission in Limpopo Province, South Africa

dc.contributor.advisorNethengwe, N. S.
dc.contributor.advisorChikoore, H.
dc.contributor.advisorBopape, M. M.
dc.contributor.authorNgwenya, Sandile Blessing
dc.date2019
dc.date.accessioned2019-10-15T13:04:20Z
dc.date.available2019-10-15T13:04:20Z
dc.date.issued2019-09-20
dc.descriptionMENVSC (Geography)en_US
dc.descriptionDepartment of Geography and Geo-Information Sciences
dc.description.abstractSemi-arid regions of Africa are prone to epidemics of malaria. Epidemic malaria occurs along the geographical margins of endemic regions, when the equilibrium between the human, parasite and mosquito vector populations are occasionally disturbed by changes in one or more meteorological factors and a sharp but temporary increase in disease incidence results. Monthly rainfall and temperature data from the South African Weather Service and malaria incidence data from Department of Health were used to determine the influence of meteorological variables on malaria transmission in Limpopo from 1998-2014. Meteorological influences on malaria transmission were analyzed using time series analysis techniques. Climate suitability for malaria transmission was determined using MARA distribution model. There are three distinct modes of rainfall variability over Limpopo which can be associated with land falling tropical cyclones, cloud bands and intensity of the Botswana upper high. ENSO and ENSO-Modoki explains about 58% of this variability. Malaria epidemics were identified using a standardized index, where cases greater than two standard deviations from the mean are identified as epidemics. Significant positive correlations between meteorological variables and monthly malaria incidence is observed at least one month lag time, except for rainfall which shows positive correlation at three months lag time. Malaria transmission appears to be strongly influenced by minimum temperature and relative humidity (R = 0.52, p<0.001). A SARIMA (2, 1, 2) (1, 0, 0)12 model fitted with only malaria cases has prediction performance of about 53%. Warm SSTs of the SWIO and Benguela Niño region west of Angola are the dominant predictors of malaria epidemics in Limpopo in the absence of La Niña. Warm SSTs over the equatorial Atlantic and Benguela Niño region results in the relaxation of the St. Helena high thus shifting the rainy weather to south-east Africa. La Niña have been linked with increased malaria cases in south-east Africa. During El Niño when rain bearing systems have migrated east of Madagascar ridging of the St. Helena high may produce conducive conditions for malaria transmission. Anomalously warmer and moist winters preceding the malaria transmission season are likely to allow for high mosquito survival and the availability of the breeding sites thus high population in the beginning of the transmission season hence resulting in increased epidemics.en_US
dc.description.sponsorshipNRFen_US
dc.format.extent1 online (xvii, 132 leaves : color illustrations, color maps)
dc.format.extentDepartment of Geography and Geo-Information Sciences
dc.identifier.apacitationNgwenya, S. B. (2019). <i>Meteorological influences on malaria transmission in Limpopo Province, South Africa</i>. (). . Retrieved from http://hdl.handle.net/11602/1463en_ZA
dc.identifier.chicagocitationNgwenya, Sandile Blessing. <i>"Meteorological influences on malaria transmission in Limpopo Province, South Africa."</i> ., , 2019. http://hdl.handle.net/11602/1463en_ZA
dc.identifier.citationNgwenya, Sandile Blessing (2019) Meteorological influences on malaria transmission in Limpopo Province, South Africa, University of Venda, South Africa.<http://hdl.handle.net/11602/1463>.
dc.identifier.ris TY - Dissertation AU - Ngwenya, Sandile Blessing AB - Semi-arid regions of Africa are prone to epidemics of malaria. Epidemic malaria occurs along the geographical margins of endemic regions, when the equilibrium between the human, parasite and mosquito vector populations are occasionally disturbed by changes in one or more meteorological factors and a sharp but temporary increase in disease incidence results. Monthly rainfall and temperature data from the South African Weather Service and malaria incidence data from Department of Health were used to determine the influence of meteorological variables on malaria transmission in Limpopo from 1998-2014. Meteorological influences on malaria transmission were analyzed using time series analysis techniques. Climate suitability for malaria transmission was determined using MARA distribution model. There are three distinct modes of rainfall variability over Limpopo which can be associated with land falling tropical cyclones, cloud bands and intensity of the Botswana upper high. ENSO and ENSO-Modoki explains about 58% of this variability. Malaria epidemics were identified using a standardized index, where cases greater than two standard deviations from the mean are identified as epidemics. Significant positive correlations between meteorological variables and monthly malaria incidence is observed at least one month lag time, except for rainfall which shows positive correlation at three months lag time. Malaria transmission appears to be strongly influenced by minimum temperature and relative humidity (R = 0.52, p<0.001). A SARIMA (2, 1, 2) (1, 0, 0)12 model fitted with only malaria cases has prediction performance of about 53%. Warm SSTs of the SWIO and Benguela Niño region west of Angola are the dominant predictors of malaria epidemics in Limpopo in the absence of La Niña. Warm SSTs over the equatorial Atlantic and Benguela Niño region results in the relaxation of the St. Helena high thus shifting the rainy weather to south-east Africa. La Niña have been linked with increased malaria cases in south-east Africa. During El Niño when rain bearing systems have migrated east of Madagascar ridging of the St. Helena high may produce conducive conditions for malaria transmission. Anomalously warmer and moist winters preceding the malaria transmission season are likely to allow for high mosquito survival and the availability of the breeding sites thus high population in the beginning of the transmission season hence resulting in increased epidemics. DA - 2019-09-20 DB - ResearchSpace DP - Univen KW - Benguela mino KW - UCTD KW - Botswana upper high KW - ENSO KW - Malaria and malaria epidemics LK - https://univendspace.univen.ac.za PY - 2019 T1 - Meteorological influences on malaria transmission in Limpopo Province, South Africa TI - Meteorological influences on malaria transmission in Limpopo Province, South Africa UR - http://hdl.handle.net/11602/1463 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11602/1463
dc.identifier.vancouvercitationNgwenya SB. Meteorological influences on malaria transmission in Limpopo Province, South Africa. []. , 2019 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/1463en_ZA
dc.language.isoenen_US
dc.rightsUniversity of Venda
dc.subjectBenguela minoen_US
dc.subjectUCTDen_ZA
dc.subjectBotswana upper highen_US
dc.subjectENSOen_US
dc.subjectMalaria and malaria epidemicsen_US
dc.subject.ddc614.5320968257
dc.subject.lcshCommunicable diseases -- South Africa -- Limpopo
dc.subject.lcshEpidemics -- South Africa -- Limpopo
dc.subject.lcshMalaria -- South Africa -- Limpopo
dc.titleMeteorological influences on malaria transmission in Limpopo Province, South Africaen_US
dc.typeDissertationen_US

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