Evidence map›Paper›PMID 39156758›Full record

ArticleEnvironmental research letters : ERL [Web site]2024

Estimating effects of monsoon flooding on household water access.

Lauren M T Broyles, Emily L Pakhtigian, Alfonso Mejia

Abstract read
In one paragraph

Article in Environmental research letters : ERL [Web site], 2024. 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

3 authors.

Lauren M T BroylesPopulation Research Institute, The Pennsylvania State University, 601 Oswald Tower, University Park, PA 16802, United States of America.ORCID https://orcid.org/0000-0003-2726-4930
Emily L PakhtigianSchool of Public Policy, The Pennsylvania State University, 322 Pond Laboratory, University Park, PA 16802, United States of America.ORCID https://orcid.org/0000-0003-3532-5596
Alfonso MejiaCivil and Environmental Engineering, The Pennsylvania State University, 212 Sackett Building, University Park, PA 16802, United States of America.ORCID https://orcid.org/0000-0003-3891-1822

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
Training Program in Social Environments and Population HealthT32HD007514 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI JOHN D. ICELAND · 1999 to 2026
$5.1M
NICHD NIH HHS P2C HD041025NICHD NIH HHS T32 HD007514
6 · The paper itself

Abstract

The importance of climate in water resources management is well recognized, but less is known about how climate affects water access at the household level. Understanding this is crucial for identifying vulnerable households, reducing health and well-being risks, and finding equitable solutions. Using difference-in-differences regression analyses and relying on temporal variation in interview timing from multiple, cross-sectional surveys, we examine the effects of monsoon riverine flooding on household water access among 34 000 households in Bangladesh in 2011 and 2014. We compare water access, a combined measure of both water source and time for collection, among households living in flood-affected and non-flood-affected districts before and after monsoon flooding events. We find that households in monsoon flood-affected districts surveyed after the flooding had between 2.27 and 4.42 times higher odds of experiencing low water access. Separating geographically, we find that while households in coastal districts have lower water access than those in non-coastal districts, monsoon flood exposure is a stronger predictor of low water access in non-coastal districts. Non-coastal districts were particularly burdened in 2014, when households affected by monsoon flooding had 4.71 times higher odds of low water access. We also find that household wealth is a consistent predictor of household water access. Overall, our results show that monsoon flooding is associated with a higher prevalence of low water access; socioeconomically vulnerable households are especially burdened.

Indexed as

Bangladeshclimate changeextreme weather eventhousehold water accessmonsoon flooding

Identifiers

PMID39156758
PMCPMC11327760

What OpenQuestion holds

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LicenceCC BY
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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.