Before Tackling Stray Dogs Issue, India Must Count Them Properly

The Supreme Court has directed the Delhi government and civic bodies to immediately capture and shelter stray dogs in response to rising dog-bite incidents, raising debates over feasibility, shelter capacity, and outdated dog population data.

Background:

  • India is facing increasing stray dog attacks, especially on children.
  • Policy responses are being shaped using outdated census data (Livestock Census 2019; Delhi’s last census in 2016).
  • Accurate data is crucial to design effective control measures like confinement or vaccination.

Key Data Issues

Outdated and Inaccurate Counts

  • The 2019 census forms the basis for current policy, but ground realities may differ sharply.
  • Example: Tamil Nadu had 4.4 lakh stray dogs in 2019 but reported 8.3 lakh bites — roughly 2 bites per stray dog.
  • Manipur’s census recorded zero stray dogs in 2019, yet it had 5,500 bite cases that year.
  • Odisha reported the second highest dog population (17.3 lakh) but only 1.7 lakh bites — far lower bite rate compared to Tamil Nadu.

Mismatch Between Dog Numbers and Bite Incidents

  • Tamil Nadu has 1,896 bites per 1,000 dogs (Chart 2), while Odisha has only ~100 per 1,000 dogs.
  • Such inconsistencies suggest data flaws in dog counts, not bite reports (as bite cases are usually recorded due to rabies risk).

Public Health Concerns

Rabies Burden

  • WHO estimates 99% of human rabies cases are due to infected dog bites.
  • India’s National Action Plan for Dog-Mediated Rabies Elimination (2018) aims to eliminate rabies by 2030 through mass vaccination.

Vaccination Strategy

  • WHO recommends vaccinating 70% of dogs for 3 consecutive years to break transmission.
  • Evidence from Goa’s rabies elimination programme:
    • Vaccination of ~70% of dogs cut canine rabies cases by 92%.
    • Human rabies cases reduced to zero by 2019 (Chart 3).

Policy Challenges

  • Shelter Shortage – Delhi lacks facilities to house large numbers of stray dogs.
  • Implementation Gaps – Current removal orders may be unworkable without infrastructure and funding.
  • Sectoral Learning Missing – High-bite States could learn from low-bite States if data was reliable.

Way Forward

  • Nationwide Accurate Census of stray dogs using modern tech (GIS, AI image recognition).
  • Mass Vaccination Drives aligned with WHO’s 70% target.
  • Data Transparency & Sharing for state-wise learning.
  • Balanced Policy – combine humane population control (ABC programme), vaccination, and public awareness.

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