Evidence map›Paper›PMID 39992351›Full record

ReviewCurrent environmental health reports2025

Mapping Heat Vulnerability and Heat Risk for Neighborhood Health Risk Management in Urban Environment? Challenges and Opportunities.

Hung Chak Ho, Shilu Tong, Yi Zhou, Kejia Hu, Xuchao Yang, Yuanjian Yang

Abstract readReview
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In one paragraph

Review in Current environmental health reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hung Chak HoDepartment of Public and International Affairs, City University of Hong Kong, Kowloon Tong, Hong Kong.
Shilu TongSchool of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.
Yi ZhouSchool of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China.
Kejia HuDepartment of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, China.
Xuchao YangOcean College, Zhejiang University, Zhoushan, China.
Yuanjian YangSchool of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China. yyj1985@nuist.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewHeat vulnerability mapping (or heat risk mapping) is commonly used as a cost-effective tool to assess neighborhood health burdens for policy development and implementations. Some local governments have adopted this strategy to develop community action plans to cope with an increasing threat from heat exposure. However, various data/methods for mapping have yielded inconsistent results. For a compact city with high population density, issues from generic mapping techniques would become more apparent due to its complexity of social/environmental structures. RECENT

findingsWe explored the similarities/differences in existing heat vulnerability mapping approaches. Previous models (1) failed to characterize extreme heat variations (e.g. days with different temperature extremes, difference between single hot days and prolonged heat events); (2) generally lacked a validation of associations between mapping results and various health outcomes (e.g. only relying on mortality data for validation but no validation of morbidities or clinical visits); (3) had a low ability to incorporate spatiotemporal variability of demographic patterns (e.g. difference in daytime/nighttime population patterns due to daily mobility); (4) were unable to adopt perceived heat exposure (e.g. Universal Thermal Climate Index); and (5) did not measure heat vulnerability at street-/building-levels even though 3-dimensional urban forms exist across major cities. Additionally, most applications (including those from local governments) were developed from a top-down perspective without a participatory design. A location-specific, evidence-based framework based on various exposure patterns and health outcomes with bottom-up strategies for implementations is needed for minimizing bias from "one-size-fits-all" strategies for action plans across high-density cities.

Indexed as

Environmental ExposureHot TemperatureNeighborhood CharacteristicsRisk ManagementUrban HealthCitiesHumansResidence CharacteristicsRisk AssessmentAction plansDisparitiesHealth implementationsHealth policiesHeat vulnerability

Identifiers

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Registered trials

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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.