Evidence map›Paper›PMID 22252408›Full record

ArticleEpidemiology (Cambridge, Mass.)2012

Lights out: impact of the August 2003 power outage on mortality in New York, NY.

G Brooke Anderson, Michelle L Bell

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Assessing bias in measuring power outage exposure with simulations.Environmental epidemiology (Philadelphia, Pa.) · 2025
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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

2 authors.

G Brooke AndersonDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. geanders@jhsph.edu
Michelle L Bell

Funding

Extreme Heat and Human Health: Characterizing Vulnerability in a Changing ClimateR21ES020152 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2012
$482k
National Assessment of the Mortality and Morbidity Effects of Tropospheric OzoneR01ES015028 · NIEHS · YALE UNIVERSITY · PI BELL, MICHELLE L · 2006 to 2010
$477k
NIEHS NIH HHS R01 ES015028NIEHS NIH HHS R01-ES015028NIEHS NIH HHS R21 ES020152
6 · The paper itself

Abstract

backgroundLittle is known about how power outages affect health. We investigated mortality effects of the largest US blackout to date, 14-15 August 2003 in New York, NY.

methodsWe estimated mortality risk in New York, NY, using a generalized linear model with data from 1987-2005. We incorporated possible confounders, including weather and long-term and seasonal mortality trends.

resultsDuring the blackout, mortality increased for accidental deaths (122% [95% confidence interval = 28%-287%]) and nonaccidental (ie, disease-related) deaths (25% [12%-41%]), resulting in approximately 90 excess deaths. Increased mortality was not from deaths being advanced by a few days; rather, mortality risk remained slightly elevated through August 2003.

conclusionsTo our knowledge, this is the first analysis of power outages and nonaccidental mortality. Understanding the impact of power outages on human health is relevant, given that increased energy demand and climate change are likely to put added strain on power grids.

Indexed as

DisastersElectricityMortalityAccidentsAir PollutionHumansLinear ModelsNew York CityPoisson DistributionRisk FactorsWeather

Identifiers

PMID22252408
PMCPMC3276729

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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.