ArticleTransboundary and emerging diseases2026
Analysing Spatiotemporal Characteristics and Estimating the Spatial Distribution of Peste des Petits Ruminants (PPR) in Africa.
Article in Transboundary and emerging diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Ginsenoside Rb3 Suppresses Peste des Petits Ruminants Virus Replication by Inhibiting Autophagy to Potentiate Immune Responses.Microorganisms · 2026Article
- Analysing Spatiotemporal Characteristics and Estimating the Spatial Distribution of Peste des Petits Ruminants (PPR) in Africa.Transboundary and emerging diseases · 2026Article
- Understanding the host expansion and interspecies infection of peste des petits ruminants virus in view of global control and eradication.Frontiers in cellular and infection microbiology · 2026Article
- Ginsenoside Rh1 suppresses Peste des petits ruminants virus replication by inhibiting autophagy to promote interferon responses and restrict inflammatory responses.Frontiers in veterinary science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peste des petits ruminants (PPR) is a highly contagious disease that primarily affects small ruminants such as sheep and goats. Since first emerging in Africa, it has rapidly spread throughout the continent, causing significant mortality and posing a serious threat to livestock production and food security. In this study, we integrated diverse datasets using Geographic Information Systems (GIS) and employed the maximum entropy (MaxEnt) model to identify key drivers influencing the distribution of PPR outbreaks in Africa. Our comprehensive analysis provides critical insights into the spatial and temporal dynamics of PPR transmission, identifying shifting patterns of geographic spread, temporal clusters, and factors contributing to outbreak emergence and persistence over time. Based on existing research data, the results indicate a notable shift in the epidemic's center of gravity from northwestern to southeastern Africa, offering strategic direction for future surveillance and control efforts. This study to understand and predict the distribution of PPR in Africa will help to develop a targeted surveillance program and analyze the trend of PPRV prevalence in Africa, which is important for the eradication and prevention of PPR.
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Registered trials
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