Evidence map›Paper›PMID 40100862›Full record

ArticlePloS one2025

Livelihood vulnerability index: Assessment of climatic changes in flood affected areas of Mianwali district, Punjab, Pakitan.

Afshin Akram, Arifa Tahir, Asifa Alam, Anum Waheed

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Afshin AkramDepartment of Environmental Sciences, Lahore College for Women University (LCWU), Lahore, Pakistan.ORCID 0000-0003-0841-5844
Arifa TahirDepartment of Environmental Sciences, Lahore College for Women University (LCWU), Lahore, Pakistan.
Asifa AlamGlobal Studies Department, IGHS, Government College University, Lahore, Pakistan.
Anum WaheedDepartment of Environmental Sciences, Lahore College for Women University (LCWU), Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is facing substantial threats from climate change such as extreme weather events, floods, biodiversity loss, sea-level rise, and ecosystem degradation. The objective of this study is to assess the livelihood vulnerability index of communities in flood-prone areas, specifically investigating the reasons behind their vulnerability, their income sources, and the impact of flooding on economic activities. Pakistan is an agrarian country and known to be a climate vulnerable country, flood possess higher threat to rural livelihood. Mianwali district of Punjab, Pakistan was selected as the study area because it is among the poorest districts, and is most severely impacted district during 2010 catastrophe. The study employed qualitative methods like focus group discussions, interviews, and transect walks, alongside quantitative approaches such as the Livelihood Vulnerability Index (LVI). Primary data was collected from 200 households through structured questionnaires by applying simple random sampling technique. Results demonstrated that the overall vulnerability of the local community of Mianwali to flood was high 0.4 score (out of 5) as per Livelihood Vulnerability Index criteria. It was revealed that the exposure factor (0.424) significantly influenced vulnerability and communities had low adaptive capacity (0.077) in the face of flood hazard. While the sensitivity of Mianwali's community to flood scored 0.088. These findings are crucial for policymakers to assess baseline causes of livelihood vulnerability and formulate adaptation for other rural communities. It can be concluded that addressing these factors effectively in planning strategies may mitigate vulnerability and increase communities' capacity to deal with potential flooding.

Indexed as

Climate ChangeFloodsFemaleHumansPakistanRural Population

Identifiers

PMID40100862
PMCPMC11918423

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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.