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Published on: June 11, 2009
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Peste des petits ruminants in Northern Sudan
Intisar Kamil Saeed1,2, Yahia Hassan Ali1,2, Muaz Magzob Abdellatif3
1Virology Department, Central Veterinary Research Laboratory, Khartoum, Sudan.
Journal of Advanced Veterinary and Animal Research
|September 26, 2025
Summary
Peste des Petits Ruminants (PPR) is prevalent in Northern Sudan, with higher rates in sheep and the Northern State. This study used antibody, antigen, and genome detection to assess its spread.
Area of Science:
- Veterinary Virology
- Epidemiology
- Molecular Diagnostics
Background:
- Peste des Petits Ruminants (PPR) poses a significant threat to small ruminant populations globally.
- Understanding the epidemiological status of PPR in Northern Sudan is crucial for effective disease control strategies.
Purpose of the Study:
- To determine the prevalence of PPR virus (PPRV) in Northern Sudan using serological, antigenic, and genomic detection methods.
- To identify specific regions and animal species with higher PPRV prevalence.
Main Methods:
- Serum and lung tissue samples were collected from goats and sheep in Northern Sudan.
- Competitive ELISA was used to detect PPRV antibodies.
- Immunocapture ELISA (IcELISA) was employed to detect PPRV antigen in lung tissues.
- Reverse transcription PCR (RT/PCR) was utilized to detect the PPRV genome in positive samples.
Main Results:
- Overall seroprevalence of PPRV was 35% (40.8% in sheep, 28.4% in goats).
- Prevalence varied by state: River Nile State (30.1%) and Northern State (41.8%).
- PPRV antigen was detected in 7.7% of samples, with higher rates in sheep in the Northern State (15.4%).
- PPRV genome was successfully detected by RT/PCR in ELISA-positive samples.
Conclusions:
- PPR is widespread in Northern Sudan, with a notable increase in prevalence, particularly in the Northern State.
- The findings highlight the need for enhanced surveillance and control measures for PPR in the region.
- Integrated diagnostic approaches including serology, antigen detection, and molecular methods are effective for PPRV prevalence studies.

