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VOL. I · EST. 11.2025 
SatyaDheesh
सत्याधीश
India's Ground Truth Record
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India heatwave deaths study: Five-day spell could cause 30,000 excess deaths

GS2Polity · Governance · IR· Health policy & public health· Prelims + Mains·

Why in news

A study published in Frontiers in Environmental Health by Piyush Narang and Ashok Gadgil estimates that a five-day heatwave could cause 30,000 excess deaths in India

Background

The study identifies Uttar Pradesh, Bihar, Madhya Pradesh, Rajasthan, and Gujarat as the states with the highest death tolls from a five-day heatwave. It notes an economic divide where these five states house 43% of India's population but contribute only 29% of its GDP.

Facts for Prelims

  • FactUnion Health Ministry recorded 360 heatstroke deaths between March and July 2023
  • FactIndependent trackers counted 733 heatstroke deaths between March and July 2023
  • PlaceHigh-risk states identified: Uttar Pradesh, Bihar, Madhya Pradesh, Rajasthan, and Gujarat
  • FactThe five identified states account for 43% of India's population and 29% of its GDP

For Mains

Q. Discuss the intersection of climate change and socio-economic inequality in India's public health challenges, specifically regarding heat-related mortality.

Dimensions to cover in your answer

  • Data discrepancy: Significant gap between official Union Health Ministry records and independent tracking of heatstroke fatalities
  • Socio-economic vulnerability: Concentration of heat-related mortality in low-GDP states with high population density
  • Infrastructure gap: Lack of cooling infrastructure and early warning systems in economically disadvantaged regions

Keywords: Climate vulnerability · Public health surveillance · Socio-economic disparity · Heatstroke mortality · Data under-reporting

Read the full news →Source: India Today ↗Also: GS3 · Climate change & international agreementsAlso: GS1 · Population, demography & migration

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This note is generated automatically from SatyaDheesh's news feed and mapped to the UPSC CSE syllabus. Check facts against the original report or PIB before using them in an answer.