Evidence map›Paper›PMID 40492101›Full record

ArticleThe Lancet regional health. Southeast Asia2025

Zoonotic disease outbreaks reported under India's

Mogan Kaviprawin, Mohankumar Raju, Manikandanesan Sakthivel, Archana Ramalingam

Abstract read
In one paragraph

Article in The Lancet regional health. Southeast Asia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Mogan KaviprawinField Epidemiology Training Program, Indian Council of Medical Research - National Institute of Epidemiology, Chennai, India.
Mohankumar RajuSouth Asia Field Epidemiology and Technology Network, Inc., (SAFETYNET), Philippines.
Manikandanesan SakthivelField Epidemiology Training Program, Indian Council of Medical Research - National Institute of Epidemiology, Chennai, India.
Archana RamalingamField Epidemiology Training Program, Indian Council of Medical Research - National Institute of Epidemiology, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Timely analysis of zoonotic outbreak surveillance data is critical for assessing the effectiveness of outbreak detection and reporting systems, a priority for global health security. We described the zoonotic disease outbreaks notified under the Integrated Disease Surveillance Program (IDSP) in India between 2018 and 2023 to identify temporal trends and spatial variation. Methods: We conducted a cross-sectional study by reviewing zoonotic disease outbreak line-list data from IDSP weekly outbreak reports and analyzed by year, region, and timeliness of reporting. We conducted a mixed Poisson regression to estimate the change (β coefficient) in outbreaks over the years and visualized maps in R software. Findings: Of the 6948 outbreaks reported in IDSP, 583 (8.3%) were zoonotic, with a median of seven monthly zoonotic outbreaks. Outbreaks significantly increased over the years (β coefficient = 0.07 [0.02-0.12]). Japanese encephalitis accounted for 29.5% of zoonotic outbreaks, followed by leptospirosis (18.7%) and scrub typhus (13.9%). The northeast region contributed 35.8% of zoonotic disease outbreaks, followed by the southern (31.7%) and western regions (15.4%). One-third (34.6%) of outbreaks were reported late, and they declined over the years (52.6% in 2019, 40.9% in 2021, and 5.2% in 2023). The follow-up reports were unavailable for 97.2% of zoonotic outbreaks notified. Interpretation: We documented the regions with high notification of zoonotic disease outbreaks under India's national-level outbreak surveillance system. Critical gaps in weekly outbreak reports were identified, particularly the lack of follow-up documentation. To address these gaps, we recommend strengthening disease-specific surveillance systems in hotspot regions. Funding: The present study is non-funded.

Indexed as

Disease outbreaksEpidemiologyIndiaPublic health surveillanceZoonoses

Identifiers

PMID40492101
PMCPMC12148586

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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.