Evidence map›Paper›PMID 34537938›Full record

ArticleEnvironmental science and pollution research international2022

Flood hazards and livelihood vulnerability of flood-prone farm-dependent Bait households in Punjab, Pakistan.

Dilshad Ahmad, Muhammad Afzal

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Dilshad AhmadDepartment of Management Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan. dilshad@ciitvehari.edu.pk.ORCID http://orcid.org/0000-0002-3991-805X
Muhammad AfzalDepartment of Economics, Preston University, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pakistan is one of the most climate change- and natural disaster-affected country of the world where livelihood and lives of inhabitants are often affected due to these disasters. In the scenario of various disasters and risks, flood disasters are the most recurrent hazards that cause Bait households' livelihood to be more vulnerable. Hence, this research work has focused to investigate livelihood vulnerability of flood-prone Bait households in southern Punjab of Pakistan. This study used multistage sampling technique for collection of the cross-sectional data of 398 flood disasters vulnerable Bait household's respondents from three high-risk flood-prone districts Muzaffargarh, Rajanpur, and Rahim Yar Khan. Face-to-face interview procedure and well-developed pre-tested questionnaire were used for data collection in this research work. This study applied vulnerability framework of LVI-IPCC and LVI in the direction of comparing the level of vulnerabilities in preferred three Bait district households. Empirical estimates of LVI major components and framework of IPCC vulnerability have indicated Bait households of Muzaffargarh more vulnerable owing to higher exposure and sensitivity and lower adaptive capacity than other districts. In contrast to other districts, Muzaffargarh households have investigated more vulnerable to flood disasters more particularly in LVI sub-components such as health (0.460), water (0.360), and food (0.515) access. These research findings will be helpful to policymakers to work out and put into practice effectual programs and strategies such as constructing more water reserves, developing overhead infrastructure, easy access of institutional loans, and generating off-farm income sources. These local-based feasible measures will be helpful for native inhabitants to reduce frequency of floods in the direction of lessened vulnerability and increased resilience via recovering generally the livelihood of vulnerable Bait households in Punjab Pakistan and particularly the district Muzaffargarh.

Indexed as

DisastersFloodsCross-Sectional StudiesFarmsPakistanBait communitiesExposureFlood disastersLivelihood vulnerability indexPunjab

Identifiers

What OpenQuestion holds

Textmetadata
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.