Evidence map›Paper›PMID 31466421›Full record

ArticleInternational journal of environmental research and public health2019

Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle.

Holly Ching Yu Lam, Andy Haines, Glenn McGregor, Emily Ying Yang Chan, Shakoor Hajat

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. 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. Review
  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

5 authors.

Holly Ching Yu LamJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China. hollylam@cuhk.edu.hk.ORCID 0000-0002-8305-9280
Andy HainesDepartment of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK.ORCID 0000-0002-8053-4605
Glenn McGregorDepartment of Geography, Durham University, Durham DH1 3LE, UK.
Emily Ying Yang ChanJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-8854-5093
Shakoor HajatDepartment of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine, London WC1H 9SH, UK. Shakoor.Hajat@lshtm.ac.uk.ORCID 0000-0002-3086-362X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The El Niño Southern Oscillation (ENSO) is a major driver of climatic variability that can have far reaching consequences for public health globally. We explored whether global, regional and country-level rates of people affected by natural disasters (PAD) are linked to ENSO. Annual numbers of PAD between 1964-2017 recorded on the EM-DAT disaster database were combined with UN population data to create PAD rates. Time-series regression was used to assess de-trended associations between PAD and 2 ENSO indices: Oceanic Niño Index (ONI) and multivariate El Niño Index (MEI). Over 95% of PAD were caused by floods, droughts or storms, with over 75% of people affected by these three disasters residing in Asia. Globally, drought-related PAD rate increased sharply in El Niño years (versus neutral years). Flood events were the disaster type most strongly associated with El Niño regionally: in South Asia, flood-related PAD increased by 40.5% (95% CI 19.3% to 65.6%) for each boundary point increase in ONI (

Indexed as

DisastersEl Nino-Southern OscillationHumansEl NiñoEl Niño Southern OscillationLa Niñanatural disastersnumber of people affectedOceanic Niño Index (ONI)

Identifiers

PMID31466421
PMCPMC6747095

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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.