A meta-analysis published online 7 October 2026 in Preventive Veterinary Medicine pulls together the economic damage that peste des petits ruminants (PPR) inflicts on India's sheep and goat sector, and it does so with a probabilistic uncertainty assessment rather than a single point estimate.

The paper, authored by Debopam Rakshit, Dwaipayan Bardhan, S. Chandra Sekar, Rabindra Prasad Singh, B.P. Sreenivasa, Pronab Dhar, Kaushal Kishor Rajak and Sanjay Kumar Singh, applies meta-analytic methods to existing Indian field data on PPR losses. The authors pair that synthesis with a probabilistic uncertainty assessment, a technique that treats the true economic burden as a distribution instead of one figure. That approach lets readers see how much the estimates shift depending on assumptions about mortality, morbidity and regional variation.

Why does a loss estimate matter at the pen level?

PPR is a viral disease of sheep and goats, and India runs one of the world's largest small-ruminant populations. For a farmer, an outbreak shows up as dead kids and lambs, aborted pregnancies, dropped milk yield and blocked trade. For a veterinarian in the field, the economic case drives decisions on vaccination coverage, outbreak response budgets and compensation policy.

Until now, loss figures for India have varied widely across individual studies, which makes national planning difficult. A meta-analysis pools those scattered estimates into a single, weighted synthesis. The probabilistic layer then quantifies how confident anyone can be in the pooled number.

What changes for control programs?

The study lands at a moment when global PPR eradication efforts are gathering pace under the FAO and OIE framework, and India carries a large share of the programmatic weight. Loss estimates with transparent uncertainty serve three practical functions:

• They justify vaccination budgets by comparing control costs against avoided losses.
• They let policymakers rank PPR against other livestock diseases when funds are scarce.
• They give state animal husbandry departments a defensible figure for outbreak compensation.

The authors' use of a probabilistic framework also signals a methodological shift: rather than reporting one average loss per animal or per outbreak, the analysis communicates a range. Planners who model worst-case scenarios can read the upper bound directly.

Food-animal and public-health implications

For the food-animal sector, the economic burden translates into meat and milk supply losses and reduced incomes for smallholders, who dominate small-ruminant production in India. PPR does not infect humans, so the public-health dimension here is indirect: household nutrition and income security in rural communities that depend on goats and sheep.

The study does not carry regulatory status from FDA CVM, EMA or USDA; it is peer-reviewed research published in Preventive Veterinary Medicine, a journal serving veterinary preventive medicine and epidemiology.

What comes next?

Because the authors released the work online on 7 October 2026, subsequent regional and national control planning documents can now cite a consolidated burden estimate with quantified uncertainty. That gives India's PPR control and eradication planning a firmer economic footing as the global 2030 eradication goal approaches.