Evaluating prevalence, risk factors, and diagnostic techniques for Cryptosporidium infection in goats and surrounding water sources
2024

Cryptosporidium Infection in Goats and Water Sources

Sample size: 600 publication 10 minutes Evidence: moderate

Author Information

Author(s): Rafiq Manahil, Khan Naimat Ullah, Khan Imad, Ahmad Mansoor, Bibi Aiman, Ben Said Mourad, Belkahia Hanène, Tariq Muhammad, Saeed Silwat, Abdel-Maksoud Mostafa A., El-Tayeb Mohamed A., Fatima Sabiha, Kiani Bushra Hafeez, Alfuraydi Akram A., Badshah Farhad

Primary Institution: Abdul Wali Khan University, Mardan, Pakistan

Hypothesis

What are the prevalence, risk factors, and diagnostic techniques for Cryptosporidium infection in goats and surrounding water sources?

Conclusion

The ZN staining method is more effective than KAF for detecting Cryptosporidium in water samples, highlighting its importance for environmental surveillance.

Supporting Evidence

  • Detection rates of Cryptosporidium oocysts were 61.00% using the ZN method and 63.33% using KAF method.
  • The highest detection rate was observed in Tehsil Katlang with 70.66% using the ZN method.
  • Diarrheic goats showed higher detection rates for both staining methods.
  • ZN staining method had a significantly higher detection rate of 16.00% in water samples compared to 1.00% for KAF staining.
  • Age and feeding regime were identified as significant risk factors for Cryptosporidium infection.

Takeaway

This study looked at how common a tiny germ called Cryptosporidium is in goats and their water, finding that one way to check for it works better than another.

Methodology

The study collected 300 fecal and 300 water samples from goats and analyzed them using two staining methods to detect Cryptosporidium oocysts.

Potential Biases

Potential bias in sample collection and reporting from goat owners.

Limitations

Limited research on Cryptosporidium infections in goats and water sources in Pakistan.

Participant Demographics

Goats of various ages and genders from four geographic regions in Mardan, Pakistan.

Statistical Information

P-Value

p>0.05

Confidence Interval

95% CI: 55.22–66.55%

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.3389/fvets.2024.1498682

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