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IDSP · IDSP-IHIP · IHIP

Integrated Disease Surveillance Programme (IDSP) Weekly Outbreak Reports

IDSP weekly reports provide district-wise disease outbreak alerts with case and death counts, dates, status, laboratory findings, and public-health response notes from India’s national surveillance programme.

Open downloadLargeGood starting datasetStrong district source
healthdisease surveillanceoutbreaksepidemiology
Host / institution

Integrated Disease Surveillance Programme / IHIP · NCDC / Ministry of Health & Family Welfare

Geography

India, state / UT, district, reported subdistricts and localities

Time coverage

Public weekly outbreak series from 2008 onward; IHIP operational from 2021

Update frequency

Weekly public outbreak reports; near-real-time IHIP reporting

What this is best for

Building district-week outbreak event panels and studying disease seasonality, reporting delays, laboratory confirmation, and public-health response

Main limitations

The public archive is PDF- and dashboard-first, not an unrestricted patient-level extract; reporting completeness varies across states and weeks, narratives require careful parsing, and initial case or death totals may be revised

Quick answers

Short research-facing answers derived from this catalog record.

What is IDSP Outbreak Reports used for?
Building district-week outbreak event panels and studying disease seasonality, reporting delays, laboratory confirmation, and public-health response
How do you access IDSP Outbreak Reports data?
IDSP Outbreak Reports is labeled “Open download” on this guide. Open the access portal or documentation links on the record for the current host process—do not assume open download if registration or a DUA is required.
What geography and time does IDSP Outbreak Reports cover?
Geography: India, state / UT, district, reported subdistricts and localities. Time coverage: Public weekly outbreak series from 2008 onward; IHIP operational from 2021.
What are the main limitations of IDSP Outbreak Reports?
The public archive is PDF- and dashboard-first, not an unrestricted patient-level extract; reporting completeness varies across states and weeks, narratives require careful parsing, and initial case or death totals may be revised

Background & previous rounds

IDSP was launched in 2004 to strengthen decentralized surveillance and early outbreak response. The Central Surveillance Unit compiles weekly reports from States and Union Territories, while the IHIP platform introduced in 2021 supports near-real-time case-based reporting and outbreak management.

Guides for using this data

Official portals, user guides, codebooks, and tutorials for access and analysis.

4 links

Variables10

NCDC IDSP Weekly Outbreak Report table headings and reporting documentation. Representative fields for the page table — verify the full dictionary on the official site.

Open official dictionary
Name / codeDescription
Unique IDState, district, year, week, and outbreak sequence code
State/UTReporting state or Union Territory
DistrictReporting district
Disease/IllnessReported disease alert or outbreak classification
No. of CasesCases associated with the reported outbreak
No. of DeathsDeaths reported for the outbreak
Date of Start of OutbreakReported onset date of the outbreak
Date of ReportingDate the outbreak was reported
Current StatusStatus such as under surveillance or under control
Comments/Action TakenLocality, symptoms, laboratory findings, investigation, and response narrative
Formats

PDF · web dashboard

Technical tags
weekly reportsdistrict-leveladministrative dataoutbreak eventsPDF
Example uses
Typical research and analysis uses for this dataset

District-week outbreak databases for dengue, malaria, acute diarrhoeal disease, food poisoning, hepatitis, measles, and other epidemic-prone conditions

Research and articles using this data

Verified examples that analyze, reuse, introduce, or visualize this dataset. Search matches without evidence are not published here.

7 verified sources

Scholarly works7

Scholarly checked:
6 Sept 2026
Web checked:
Not checked yet

Pairs well with

Many Indian data problems need survey + administrative combinations.