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Review
. 2024 Nov 25;12(12):2426.
doi: 10.3390/microorganisms12122426.

Cryptosporidium Species Infections Detected from Fecal Samples of Animal and Human Hosts in South Africa: Systematic Review and Meta-Analysis

Affiliations
Review

Cryptosporidium Species Infections Detected from Fecal Samples of Animal and Human Hosts in South Africa: Systematic Review and Meta-Analysis

Mpho Tawana et al. Microorganisms. .

Abstract

This study presents a systematic review and meta-analysis approach of Cryptosporidium species prevalence studies in animal and human hosts published between 1980 and 2020 in South Africa. Extensive searches were conducted on three electronic databases including PubMed, ScienceDirect and Google Scholar. The findings indicated an overall pooled prevalence estimate (PPE) of Cryptosporidium spp. infections in animals and humans at 21.5% and 18.1%, respectively. The PCR-RFLP appeared to be the most sensitive diagnostic method with a PPE of 77.8% for the detection of Cryptosporidium spp. infections followed by ELISA (66.7%); LAMP (45.4%); PCR (25.3%); qPCR (20.7%); microscopy (10.1%); IFAT (8.4%); and RDT (7.9%). In animal hosts, C. parvum had the highest PPE of 3.7%, followed by C. andersoni (1.5%), C. ubiquitum (1.4%) and C. bovis (1.0%), while in humans, C. parvum also had the highest PPE of 18.3% followed by C. meleagridis at 0.4%. The data generated in this study indicated that Cryptosporidium spp. infections were highly prevalent in both animals and humans in South Africa, especially in the KwaZulu-Natal and North West provinces. However, we further observed that there was a lack of prevalence studies for both animals and humans in some of the provinces. This study highlights the necessity for a "One Health" strategic approach promoting public hygiene, animal husbandry and regular screening for Cryptosporidium spp. infections in both animals and humans.

Keywords: Cryptosporidium species; South Africa; prevalence.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of included studies according to PRISMA guidelines.
Figure 2
Figure 2
Forest plot of the prevalence of Cryptosporidium spp. from animal studies conducted during 2001–2010. The squares demonstrate the individual point estimates. The diamond at the base indicates the pooled estimate from the overall studies [30,36,37,38].
Figure 3
Figure 3
Funnel plot with 95% confidence limits of Cryptosporidium spp. pooled prevalence estimates of cattle subgroup studies that tested positive for Cryptosporidium species. The diamond at the base indicates the pooled estimate from the studies overall.
Figure 4
Figure 4
Forest plot showing the pooled estimates of Cryptosporidium spp. from studies conducted on (A) males and (B) females. The squares demonstrate the individual point estimates. The diamonds at the base indicate the pooled estimates from the overall studies [40,47,52,53,57].
Figure 4
Figure 4
Forest plot showing the pooled estimates of Cryptosporidium spp. from studies conducted on (A) males and (B) females. The squares demonstrate the individual point estimates. The diamonds at the base indicate the pooled estimates from the overall studies [40,47,52,53,57].
Figure 5
Figure 5
Funnel plot with 95% confidence limits of Cryptosporidium spp. pooled prevalence estimates of 1981–1990 interval subgroup studies that tested positive for Cryptosporidium spp. in humans. The diamond at the base indicates the pooled estimate from the studies overall.

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