Evidence map›Paper›PMID 33965390›Full record

ArticleEnvironmental research2021

Assessing mortality risk attributable to high ambient temperatures in Ahmedabad, 1987 to 2017.

Yaguang Wei, Abhiyant Suresh Tiwari, Longxiang Li, Bhavin Solanki, Jayanta Sarkar, Dileep Mavalankar, Joel Schwartz

Abstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yaguang WeiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: weiyg@hsph.harvard.edu.
Abhiyant Suresh TiwariDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Longxiang LiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Bhavin SolankiHealth Department, Ahmedabad Municipal Corporation, Ahmedabad, Gujarat, India.
Jayanta SarkarIndia Meteorological Department, Ahmedabad, Gujarat, India.
Dileep MavalankarIndian Institute of Public Health, Gandhinagar, Gandhinagar, Gujarat, India.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Air Pollution and Health GEOHealth Hub Research and Capacity Building ProgramU01TW010097 · FIC · PUBLIC HEALTH FOUNDATION OF INDIA · PI Dorairaj Prabhakaran, Poornima Prabhakaran · 2015 to 2026
$3.1M
2/2-GEOHealth Health Effects of Selected Environmental Exposomes Across the Life CourSe (HEALS)-USU2RTW010108 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Joel D Schwartz, Nancy Carol L. Sieber · 2015 to 2026
$2.8M
EPA R835872FIC NIH HHS U01 TW010097FIC NIH HHS U2R TW010108
6 · The paper itself

Abstract

backgroundStudies on high temperatures and mortality have not focused on underdeveloped tropical regions and have reported the associations of different temperature metrics without conducting model selection.

methodsWe collected daily mortality and meteorological data including ambient temperatures and humidity in Ahmedabad during summer, 1987-2017. We proposed two cross-validation (CV) approaches to compare semiparametric quasi-Poisson models with different temperature metrics and heat wave definitions. Using the fittest model, we estimated heat-mortality associations among general population and subpopulations. We also conducted separate analyses for 1987-2002 and 2003-2017 to evaluate temporal heterogeneity.

findingsThe model with maximum and minimum temperatures and without heat wave indicator gave the best performance. With this model, we found a substantial and significant increase in mortality rate starting from maximum temperature at 42 °C and from minimum temperature at 28 °C: 1 °C increase in maximum and minimum temperatures at lag 0 were associated with 9.56% (95% confidence interval [CI]: 6.64%, 12.56%) and 9.82% (95% CI: 6.33%, 13.42%) increase in mortality risk, respectively. People aged ≥65 years and lived in South residential zone where most slums were located, were more vulnerable. We observed flatter increases in mortality risk associated with high temperatures comparing the period of 2003-2017 to 1987-2002.

interpretationThe analyses provided better understanding of the relationship of high temperatures with mortality in underdeveloped tropical regions and important implications in developing heat warning system for local government. The proposed CV approaches will benefit future scientific work.

Indexed as

Hot TemperatureMortalityForecastingHumansHumiditySeasonsTemperatureClimate changeCross-validationExtreme heatIndiaMortality

Identifiers

PMID33965390
PMCPMC8169607

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.