Evidence map›Paper›PMID 40128344›Full record

ArticleScientific reports2025

Assessment of economic burden of lumpy skin disease in India using stochastic modeling.

Govindaraj Gurrappa Naidu, Ramanji Rampura Shivappa, Puneeth Raja Rajanna, Huchappa Gondali, Manoj Hesaraghatta Devaraju, Prem Kishor Singasandra Nagesh, Narayanan Gajendiran, Amit Kanani, Lenin Bhatt, Jayant Tapase and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Govindaraj Gurrappa NaiduICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India. Govindaraj.Naidu@icar.gov.in.
Ramanji Rampura ShivappaICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Puneeth Raja RajannaICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Huchappa GondaliICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Manoj Hesaraghatta DevarajuICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Prem Kishor Singasandra NageshICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Narayanan GajendiranICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Amit KananiOffice of Deputy Director of Animal Husbandry, Foot and Mouth Disease Typing Scheme, Polytechnic Campus, Ambawadi, Ahmedabad, India.
Lenin BhattState Disease Diagnostic Centre, Jaipur, Rajasthan, India.
Jayant TapaseState Animal Disease Investigation Laboratory, RAK Campus, Jail Road, Jahangirabad, Bhopal, Madhya Pradesh, India.
Sundaresan ArumugamVeterinary Epidemiology Centre, Tamil Nadu, Saidapet, Chennai, India.
Jyoti Ranjan BiswalAnimal Disease Research Instiutte, Phulnakhara, Cuttack, Odisha, India.
Sathish Gowda Chirathahalli ShivamurthyICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Gundallhalli Bayyappa ManjunathareddyICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Durlav Prasad BoraCollege of Veterinary Science, Department of Veterinary Microbiology, Assam Agricultural University, Khanapara Campus, Guwahati, Assam, India.
Bijoy ChhetriICAR- Krishi Vigyan Kendra ( KVK), ICAR RC for NEH Region, Hailakandi, Assam, India.
Yogisharadhya RevanaiahICAR- Krishi Vigyan Kendra ( KVK), ICAR RC for NEH Region, Hailakandi, Assam, India.
Sagar Shyam PujarICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
Baldev Raj GulatiICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed the farm-level economic loss due to LSD in India and at disaggregate (state) level by collecting data from 2351 cattle farms covering seven states. Data were analyed using descriptive statistics and stochastic modeling with Monte Carlo simulations. Gujarat state reported the highest milk loss, with a median reduction of 74, 90, 60, 45, 15, 15, and 8 L per animal in Rajasthan, Gujarat, Tamil Nadu, Karnataka, Madhya Pradesh, Assam, and Odisha, respectively. Crossbred cattle experienced more milk loss per animal, ranging from USD 0.0 to 237.8. The median mortality loss per animal varied between USD 12.2 and 1,084. The substantial national loss was due to decreased milk production, followed by the loss of draught power, treatment cost, and vector management cost. Stochastic modelling estimated economic loss due to LSD in cattle in India was USD 2440.29 million (90% CI 2162.55-2716.15) / (INR 202,544.07 million (90% 179,491.65-2,225,440.45) during 2022 & 2023 with a highest loss of USD 314.18 million (90% CI 279.10-349.34)) in Rajasthan state.

Indexed as

Cattle DiseasesCost of IllnessLumpy Skin DiseaseAnimalsCattleFemaleIndiaMilkMonte Carlo MethodStochastic ProcessesEconomic burdenIndiaLSDStochastic modelling

Identifiers

PMID40128344
PMCPMC11933382

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.