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Livestock Health & Disease Control Programme

LH-DCP / NADCP — Surveillance • Vaccination • Analytics

ICAR ICAR–NIVEDI

LH-DCP / NADCP Portal Secure • Validated • Actionable

Data-driven surveillance & disease control for livestock health

Prevent, control, and contain priority livestock diseases using vaccination, field reporting, validation workflows, and analytics dashboards for faster decisions.

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Disease Control Mass Vaccination Surveillance Training & Awareness Analytics

Target

FMD

Biannual vaccination towards eradication by 2030.

Target

Brucellosis

One-time vaccination of 4–8 month female calves.

Target

PPR

Carpet vaccination + surveillance to eradicate by 2030.

Target

CSF

Eligible pig vaccination with ongoing surveillance.

Programmes

Core components under NADCP and LH & DC Scheme.

Foot & Mouth Disease Control Programme (FMD-CP)

Control through repeated mass vaccination of susceptible livestock, cold-chain compliance, and traceability—towards eradication by 2030.

Biannual Cold-chain Traceability
FMD vaccination
Brucellosis control

Brucellosis Control Programme (Brucella-CP)

Prevention through once-in-a-lifetime vaccination of 4–8 month female calves (no curative treatment in bovines).

Calf window 4–8 m Zoonosis Test & vaccinate

PPR Eradication Programme (PPR-EP)

4-year carpet vaccination + surveillance for sheep & goats with a national goal of eradication by 2030.

Small ruminants 100% central Eradication
PPR programme
CSF programme

Classical Swine Fever Control Programme (CSF-CP)

Vaccination of eligible pigs (> 3 months) coupled with surveillance to reduce outbreaks and burden.

Pigs > 3 m Surveillance Coverage

Workflow at a glance

Secure capture → validation → storage → analytics for action.

Data Upload Data Analysis

  1. User Management

    Roles, permissions, secure authentication, and role-based access.

  2. Data Submission

    Predefined formats / uploads with in-transit TLS/SSL protection.

  3. Validation & Approval

    Review completeness and accuracy; correction loop for discrepancies.

  4. Secure Storage

    Hardened database with backups and integrity checks.

  5. Analysis & Visualization

    Python/R/SAS integration, dashboards, reports for policy decisions.

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Overview

This flowchart represents the end-to-end pipeline for LH-DCP: secure lab data handling, rigorous validation, compliant storage, and decision-ready analytics.

  • User Management: roles, access control, security policies.
  • Data Submission: forms/uploads with TLS/SSL.
  • Validation: review completeness & accuracy, corrections loop.
  • Storage: hardened DB with encryption/backups.
  • Analytics: dashboards, advisories, and reporting.
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