Evidence map›Paper›PMID 35899741›Full record

ReviewDisaster medicine and public health preparedness2022

Tracking Hurricane-Related Deaths in the Contiguous United States Using Media Reports From 2012 to 2020.

Shanice Williams, Sumera Jiva, Arianna Hanchey, René J Suárez-Soto, Tesfaye Bayleyegn, Amy Helene Schnall

Open access · hybridAbstract readReview
In one paragraph

Review in Disaster medicine and public health preparedness, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Shanice WilliamsNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Sumera JivaNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Arianna HancheyNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
René J Suárez-SotoNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Tesfaye BayleyegnNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Amy Helene SchnallNational Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · USNational Center for Environmental Health · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Heavy rainfall, storm surges, and tornadoes are hazards associated with hurricanes that can cause property damages and loss of life. Disaster-related mortality surveillance encounters challenges, such as timely reporting of mortality data. This review demonstrates how tracking hurricane-related deaths using online media reports (eg, news media articles, press releases, social media posts) can enhance mortality surveillance during a response. The Centers for Disease Control and Prevention used online media reports from 2012 to 2020 to characterize hurricane-related deaths from 10 hurricanes that were declared major disasters and the flooding related to Hurricane Joaquin in the contiguous United States. Media reports showed that drowning (

Indexed as

Carbon Monoxide PoisoningCyclonic StormsDisastersTornadoesFloodsHumansUnited Statesdisaster-related mortalityhurricanesmedia mortalitymortality surveillance

Identifiers

PMID35899741
PMCPMC9883588
OpenAlexW4288080737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.