A Case Report on a Human Bite Contact with a Rabid Honey Badger Mellivora capensis (Kromdraai Area, Cradle of Humankind, South Africa)

Mohale, Debrah; Ngoepe, Ernest; Mparamoto, Munangatire; Blumberg, Lucille; Sabeta, Claude

doi:10.3390/tropicalmed8040186

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…Although molecular epidemiological analyses had been extensively used to supplement the existing surveillance data [ 11 , 12 , 14 , 15 , 16 , 18 , 19 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ], the studies were primarily limited to inferring viral relatedness between geographic localities and species. As a result, those investigations were not necessarily of major significance in pinpointing specific high-risk areas that should be targeted during astute strategic intervention campaigns.…”

Section: Introductionmentioning

confidence: 99%

A Perspective of the Epidemiology of Rabies in South Africa, 1998–2019

Malan,

Coetzer,

Bosch

et al. 2024

TropicalMed

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Despite the implementation of various control strategies aimed at eliminating canine-mediated rabies, the disease is still endemic in up to 150 countries across the world. Rabies remains endemic to South Africa, with various reservoir species (both wildlife species and domestic dogs) capable of maintaining rabies infection, and the epidemiology of the disease is yet to be adequately defined. As such, this study used surveillance data collected between 1998 and 2019 from the two diagnostic laboratories in the country for a statistical space–time analysis to determine regions where significant disease clusters could occur. In addition, the robustness of surveillance activities across the country was evaluated through the mathematical evaluation and visualization of testing rates based on the average number of samples tested per species group. In our study, various significant disease clusters were detected for domestic animals, wildlife and livestock. The significant disease clusters for domestic animals and livestock were primarily restricted to eastern South Africa, while the significant disease clusters in wildlife species were detected across northern and western South Africa. Furthermore, the testing rates identified districts from various provinces where surveillance activities could be considered inadequate, consequently influencing the geographical range of the observed clusters. These results could be used to direct intervention campaigns towards high-risk areas, while also allocating the required resources to improve surveillance in the surrounding areas where surveillance was deemed inadequate.

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