Evidence map›Paper›PMID 28210860›Full record

ArticleInternational journal of biometeorology2018

A heat vulnerability index to improve urban public health management in San Juan, Puerto Rico.

Pablo Méndez-Lázaro, Frank E Muller-Karger, Daniel Otis, Matthew J McCarthy, Ernesto Rodríguez

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of biometeorology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Mortality risk and burden associated with non-optimum temperatures in Puerto Rico.Environmental research letters : ERL [Web site] · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Heat stress in the Caribbean: Climatology, drivers, and trends of human biometeorology indices.International journal of climatology : a journal of the Royal Meteorological Society · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Chaos in fractional system with extreme events.The European physical journal. Special topics · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia.International journal of environmental research and public health · 2018
    Article
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

5 authors.

Pablo Méndez-LázaroEnvironmental Health Department, Graduate School of Public Health, University of Puerto, Rico, Medical Sciences Campus, P.O. Box 365067, San Juan, 00936, Puerto Rico. pablo.mendez1@upr.edu.
Frank E Muller-KargerInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Daniel OtisInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Matthew J McCarthyInstitute for Marine Remote Sensing, College of Marine Science, University of South Florida, 140 7th Ave. South, St. Petersburg, FL, 33701, USA.
Ernesto RodríguezNational Weather Service, San Juan, PR Weather Forecast Office, 4000 Carretera 190, Carolina, PR, 00979, Puerto Rico.

Funding

U.S. Environmental Protection Agency 83519
6 · The paper itself

Abstract

Increased frequency and length of high heat episodes are leading to more cardiovascular issues and asthmatic responses among the population of San Juan, the capital of the island of Puerto Rico, USA. An urban heat island effect, which leads to foci of higher temperatures in some urban areas, can raise heat-related mortality. The objective of this research is to map the risk of high temperature in particular locations by creating heat maps of the city of San Juan. The heat vulnerability index (HVI) maps were developed using images collected by satellite-based remote sensing combined with census data. Land surface temperature was assessed using images from the Thermal Infrared Sensor flown on Landsat 8. Social determinants (e.g., age, unemployment, education and social isolation, and health insurance coverage) were analyzed by census tract. The data were examined in the context of land cover maps generated using products from the Puerto Rico Terrestrial Gap Analysis Project (USDA Forest Service). All variables were set in order to transform the indicators expressed in different units into indices between 0 and 1, and the HVI was calculated as sum of score. The tract with highest index was considered to be the most vulnerable and the lowest to be the least vulnerable. Five vulnerability classes were mapped (very high, high, moderate, low, and very low). The hottest and the most vulnerable tracts corresponded to highly built areas, including the Luis Munoz International Airport, seaports, parking lots, and high-density residential areas. Several variables contributed to increased vulnerability, including higher rates of the population living alone, disabilities, advanced age, and lack of health insurance coverage. Coolest areas corresponded to vegetated landscapes and urban water bodies. The urban HVI map will be useful to health officers, emergency preparedness personnel, the National Weather Service, and San Juan residents, as it helps to prepare for and to mitigate the potential effects of heat-related illnesses.

Indexed as

Hot TemperatureAdolescentAdultAgedChildChild, PreschoolCitiesHumansMiddle AgedPublic HealthPuerto RicoSatellite ImageryYoung AdultClimate changeHeat vulnerability indexLandsat 8-Thermal Infrared SensorSan Juan, Puerto RicoUrban heat island

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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.