scholarly journals What will move malaria control to elimination in South Africa?

2013 ◽  
Vol 103 (10) ◽  
pp. 801 ◽  
Author(s):  
D Moonasar ◽  
N Morris ◽  
I Kleinschmidt ◽  
R Maharaj ◽  
J Raman ◽  
...  
Keyword(s):  
South Africa ◽  
Malaria Control

scholarly journals Prenatal Exposure to DDT and Pyrethroids for Malaria Control and Child Neurodevelopment: The VHEMBE Cohort, South Africa

2018 ◽  
Vol 126 (4) ◽  
pp. 047004 ◽  
Author(s):  
Brenda Eskenazi ◽  
Sookee An ◽  
Stephen A. Rauch ◽  
Eric S. Coker ◽  
Angelina Maphula ◽  
...  
Keyword(s):  
South Africa ◽  
Prenatal Exposure ◽  
Malaria Control ◽  
Child Neurodevelopment

REPRODUCTIVE HEALTH EFFECTS OF LONG TERM DDT EXPOSURE ON MALARIA CONTROL WORKERS IN SOUTH AFRICA

Epidemiology ◽  
2003 ◽  
Vol 14 (Supplement) ◽  
pp. S18-S19
Author(s):  
M Dalvie ◽  
J Myers ◽  
J. Riebow ◽  
S Dyer ◽  
B Millar ◽  
...  
Keyword(s):  
South Africa ◽  
Reproductive Health ◽  
Health Effects ◽  
Malaria Control

scholarly journals Erratum: “Prenatal Exposure to DDT and Pyrethroids for Malaria Control and Child Neurodevelopment: The VHEMBE Cohort, South Africa”

2018 ◽  
Vol 126 (11) ◽  
pp. 119001 ◽  
Author(s):  
Brenda Eskenazi ◽  
Sookee An ◽  
Stephen A. Rauch ◽  
Eric S. Coker ◽  
Angelina Maphula ◽  
...  
Keyword(s):  
South Africa ◽  
Prenatal Exposure ◽  
Malaria Control ◽  
Child Neurodevelopment

Prenatal Exposure To Ddt For Malaria Control And Anogenital Distance Among Vhembe Study Participants, South Africa

2015 ◽  
Vol 2015 (1) ◽  
pp. 1752
Author(s):  
Riana Bornman ◽  
Jonathan Chevrier ◽  
Stephen Rauch ◽  
Madelein Crause ◽  
Muvhulawa Obida ◽  
...  
Keyword(s):  
South Africa ◽  
Prenatal Exposure ◽  
Malaria Control ◽  
Anogenital Distance ◽  
Study Participants

scholarly journals Modelling Malaria Incidence in the Limpopo Province, South Africa: Comparison of Classical and Bayesian Methods of Estimation

2020 ◽  
Vol 17 (14) ◽  
pp. 5016
Author(s):  
Makwelantle Asnath Sehlabana ◽  
Daniel Maposa ◽  
Alexander Boateng
Keyword(s):  
South Africa ◽  
Malaria Control ◽  
Bayesian Method ◽  
Negative Binomial ◽  
Climatic Factors ◽  
Classical Method ◽  
Malaria Incidence ◽  
Limpopo Province ◽  
Malaria Control Programme ◽  
Normalised Difference Vegetation Index

Malaria infects and kills millions of people in Africa, predominantly in hot regions where temperatures during the day and night are typically high. In South Africa, Limpopo Province is the hottest province in the country and therefore prone to malaria incidence. The districts of Vhembe, Mopani and Sekhukhune are the hottest districts in the province. Malaria cases in these districts are common and malaria is among the leading causes of illness and deaths in these districts. Factors contributing to malaria incidence in Limpopo Province have not been deeply investigated, aside from the general knowledge that the province is the hottest in South Africa. Bayesian and classical methods of estimation have been applied and compared on the effect of climatic factors on malaria incidence. Credible and confidence intervals from a negative binomial model estimated via Bayesian estimation and maximum likelihood estimation, respectively, were utilized in the comparison process. Overall assumptions underpinning each method were given. The Bayesian method appeared more robust than the classical method in analysing malaria incidence in Limpopo Province. The classical method identified rainfall and temperature during the night to be significant predictors of malaria incidence in Mopani, Vhembe and Waterberg districts. However, the Bayesian method found rainfall, normalised difference vegetation index, elevation, temperatures during the day and night to be the significant predictors of malaria incidence in Mopani, Sekhukhune and Vhembe districts of Limpopo Province. Both methods affirmed that Vhembe district is more susceptible to malaria incidence, followed by Mopani district. We recommend that the Department of Health and Malaria Control Programme of South Africa allocate more resources for malaria control, prevention and elimination to Vhembe and Mopani districts of Limpopo Province.

scholarly journals mSpray: A mobile phone technology to improve malaria control efforts and monitor human exposure to malaria control pesticides in Limpopo, South Africa

2014 ◽  
Vol 68 ◽  
pp. 219-226 ◽  
Author(s):  
Brenda Eskenazi ◽  
Lesliam Quirós-Alcalá ◽  
Jonah M. Lipsitt ◽  
Lemuel D. Wu ◽  
Philip Kruger ◽  
...  
Keyword(s):  
South Africa ◽  
Mobile Phone ◽  
Malaria Control ◽  
Human Exposure ◽  
Mobile Phone Technology
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