Evidence map›Paper›PMID 35550317›Full record

ArticleJMIR formative research2022

Indoor Temperatures in the 2018 Heat Wave in Quebec, Canada: Exploratory Study Using Ecobee Smart Thermostats.

Arlene Oetomo, Niloofar Jalali, Paula Dornhofer Paro Costa, Plinio Pelegrini Morita

Abstract read
In one paragraph

Article in JMIR formative research, 2022. 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. 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

4 authors.

Arlene Oetomo *School of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0002-6348-7325
Niloofar JalaliSchool of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0002-7356-0573
Paula Dornhofer Paro CostaDepartment of Computer Engineering and Automation, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil.ORCID https://orcid.org/0000-0002-1534-5744
Plinio Pelegrini MoritaSchool of Public Health Sciences, Faculty of Health, University of Waterloo, Waterloo, ON, Canada.ORCID https://orcid.org/0000-0001-9515-6478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClimate change, driven by human activity, is rapidly changing our environment and posing an increased risk to human health. Local governments must adapt their cities and prepare for increased periods of extreme heat and ensure that marginalized populations do not suffer detrimental health outcomes. Heat warnings traditionally rely on outdoor temperature data which may not reflect indoor temperatures experienced by individuals. Smart thermostats could be a novel and highly scalable data source for heat wave monitoring.

objectiveThe objective of this study was to explore whether smart thermostats can be used to measure indoor temperature during a heat wave and identify houses experiencing indoor temperatures above 26°C.

methodsWe used secondary data-indoor temperature data recorded by ecobee smart thermostats during the Quebec heat waves of 2018 that claimed 66 lives, outdoor temperature data from Environment Canada weather stations, and indoor temperature data from 768 Quebec households. We performed descriptive statistical analyses to compare indoor temperatures differences between air conditioned and non-air conditioned houses in Montreal, Gatineau, and surrounding areas from June 1 to August 31, 2018.

resultsThere were significant differences in indoor temperature between houses with and without air conditioning on both heat wave and non-heat wave days (P<.001). Households without air conditioning consistently recorded daily temperatures above common indoor temperature standards. High indoor temperatures persisted for an average of 4 hours per day in non-air conditioned houses.

conclusionsOur findings were consistent with current literature on building warming and heat retention during heat waves, which contribute to increased risk of heat-related illnesses. Indoor temperatures can be captured continuously using smart thermostats across a large population. When integrated with local heat health action plans, these data could be used to strengthen existing heat alert response systems and enhance emergency medical service responses.

Indexed as

air conditioningheat alert response systemsheat wavesindoor temperatureInternet of ThingsIoTpublic healthsmart home technologysmart thermostatsthermostatuHealthunsafe temperatures

Identifiers

PMID35550317
PMCPMC9136646

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.