dahd

LH-DCP

ICAR NIVEDI

Livestock Health & Disease Control Programme (LH-DCP)

This umbrella scheme aims for the prevention, control, and containment of livestock diseases through vaccination, treatment, awareness creation, training, etc. It encompasses two schemes: NADCP and LH & DC.

National Animal Disease Control Programme (NADCP):

  1. Foot & Mouth Disease Control Programme (FMD-CP): Is a highly contagious viral vesicular disease of cloven-hoofed animals such as cattle, buffaloes, sheep, goats and pigs etc. FMD leads to reduction in milk yield, decreased growth rate, infertility, reduced working capacity in bullocks, trade embargo in the international market. Control of FMD can be achieved by mass vaccination of susceptible livestock repeatedly at regular intervals till the incidence of the disease comes down. This will pave way to gradual eradication of the disease from the country. LH & DCP program aims to control Foot & Mouth Disease (FMD) through vaccination leading to its eventual eradication by 2030. This will result in increased domestic production and ultimately in increased exports of livestock products. Currently under this program vaccination is carried out in all cattle and buffaloes
  2. Brucellosis Control Programme (Brucella-CP): Is a reproductive disease of cattle and buffaloes caused by bacterium Brucella abortus. The disease is characterized by fever, induces abortion at the last stage of pregnancy, infertility, delayed heat, interrupted lactation resulting in loss of calves, loss in production of meat and milk. Bovine brucellosis is endemic in India and appears to be on the increase in recent times, perhaps due to increased trade and rapid movement of livestock. In the absence of any treatment for Brucellosis in bovine animals, the disease can be prevented by vaccination. Control of Brucellosis can be achieved by a once-in-a-lifetime vaccination of female bovine calves (4 – 8 months old).
    3. (Source: https://dahd.nic.in/schemes/programmes/nadcp)

Livestock Health & Disease Control (LH & DC) scheme:

  1. Peste des Petits Ruminants Eradication Programme (PPR-EP): It is a Central Sector component with 100% central assistance with an aim to vaccinate the entire sheep and goat population over 4 months of age, healthy and non-pregnant animals with the PPR vaccine. The sole objective is to eradicate the disease by 2030 through 4 years carpet vaccination and surveillance programme.
  2. Classical Swine Fever Control Programme (CSF-CP): It is a Central Sector component with 100% central assistance with an aim to vaccinate the entire pig population over 3 months of age, healthy and non-pregnant animals with the CSF vaccine. The sole objective is to control the disease by vaccination of eligible population and surveillance programme.

Data Upload

Data Analysis

Reports

Reports

Visualizations

Visualizations

Analytics

Analytics
Flow Chart
Flow diagram

Overview

This flowchart depicts a secure and structured Livestock Health & Disease Control Programme (LH-DCP) for handling lab data, from data acquisition to analysis, underpinned by various technical protocols and processes. Here’s a detailed breakdown:

  1. User Management
    • System Administration: The Admin oversees user roles and access permissions, ensuring only authorized personnel can access specific parts of the system, using a tech stack of HTML, CSS, JavaScript, PHP, and MySQL for front-end interfaces and backend data handling.
    • User Authentication & Authorization: Through secure protocols, users are authenticated and assigned roles, streamlining access control and preventing unauthorized data handling.
  2. Data Submission by Lab Scientists
    • Data Input: Laboratory scientists (LS) handle initial data entry via file uploads or online forms, directed to a Partial Database (MySQL) to ensure structured storage and validation.
    • Data Encryption: Data transfers are secured with TLS and SSL encryption to ensure data confidentiality during transmission.
  3. Data Validation & Approval
    • Review by Lab Manager: The Lab Manager verifies data integrity and can approve or reject data with comments for quality assurance.
    • Conditional Workflow: Rejected data is returned for correction, while approved data moves to the Final Database.
  4. Data Storage and Security in Final Database
    • Final Database: Stores only validated data with TLS/SSL encryption for security and compliance.
    • Data Integrity: Tamper-proof storage of approved data, ensuring reliable, secure data access.
  5. Data Analysis & Visualization
    • Analysis Tools Integration: Python, R, and SAS are used for statistical analysis and visualization, facilitating trend analysis and report generation.
    • Data Visualization: Dashboards are created for stakeholders to interpret patterns and generate insights.

Technical Infrastructure Summary

  • Frontend: HTML, CSS, JavaScript
  • Backend: PHP and MySQL
  • Security: TLS and SSL encryption
  • Data Analysis: Python, R, SAS.

Overall System Benefits

  • Data Integrity: High-quality data ensured through validation workflows.
  • Scalability: Modular structure supports expanding lab operations.
  • Compliance and Security: TLS/SSL encryption aligns with industry standards.

This system ensures seamless flow from data acquisition to analysis, maintaining data security, quality, and accessibility throughout.

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