Evidence map›Paper›PMID 41555296›Full record

ArticleBMC public health2026

COVID-19 and multidimensional poverty: a spatio-temporal analysis of urban vs. rural areas in Jashore, Bangladesh.

Nafisa Nuari Islam, Lotifa Tamanna Toma, Md Nayim Rahman, Muhammad Abu Sayed, Mohammad Mahfuzur Rahman

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nafisa Nuari IslamClimate and Disaster Management, Jashore University of Science and Technology, Jashore-, 7408, Bangladesh. nn.islam@just.edu.bd.
Lotifa Tamanna TomaEnvironmental Science, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.
Md Nayim RahmanClimate and Disaster Management, Jashore University of Science and Technology, Jashore-, 7408, Bangladesh.
Muhammad Abu SayedClimate and Disaster Management, Jashore University of Science and Technology, Jashore-, 7408, Bangladesh.
Mohammad Mahfuzur RahmanClimate and Disaster Management, Jashore University of Science and Technology, Jashore-, 7408, Bangladesh.

Funding

Ministry of Science and Technology, Government of the People's Republic of Bangladesh Research and Development (R&D) fund (2021-22: GO-86)
6 · The paper itself

Abstract

As one of the most severe pandemics in decades, COVID-19 has left lasting impacts on health systems, economies, and social structures across the world. Existing research has documented varied socio-economic effects of the pandemic globally, yet there remains a significant gap in understanding how COVID-19 has affected multidimensional poverty in Bangladesh. This research examines the impact of COVID-19 on the MPI (multidimensional poverty index) in both urban and rural households considering six dimensions: income, health, education, living standards, family and social relationships, and information accessibility taking a total of 29 indicators, each equally weighted. Household surveys using a pre-tested structured questionnaire were conducted in two Upazilas of the Jashore district: Chaugachha (150) and Bagharpara (150) in two strata: urban and rural in two unions per Upazila. The result indicates that MPI has increased drastically by around 172.7% within 2019-2021. The analysis reveals that urban areas showed greater multidimensional poverty index (MPI) growth (40%) than rural areas (28.9%), driven by both rising poverty incidence (+ 8 pp) and intensifying deprivation (+ 8 pp), despite rural areas maintaining higher absolute poverty levels. Health is the most influential factor, followed by education and social capital. The urban faced more difficulties in accessing health facilities due to stricter hospital regulations, and nutrition deficiencies occurred for price hike conditions. Students had limited access to uninterrupted internet facilities which declined the attendance of online classes during the lockdown period and caused poor results and dropouts. Simultaneously, social capital was eroded as lockdowns disrupted community support networks and limited the informal assistance that many vulnerable families rely on during crises. These differential impacts highlight the need for spatially targeted policy responses, with particular emphasis on urban social protection systems and multidimensional poverty alleviation in both domains. This study advances pandemic preparedness by revealing how deprivation dynamics can strengthen sustainable development goals (SDG) synergies (1: poverty, 2: hunger, 3: health, 4: education, 6: water), enabling social protection systems to serve as multi-sectoral shields against multidimensional poverty during health crises.

Indexed as

COVID-19PovertyRural PopulationUrban PopulationBangladeshHumansSurveys and QuestionnairesCOVID-19 impactEducationHealth impactMulti- dimensional poorMulti-dimensional povertyPoverty- cutoff

Identifiers

PMID41555296
PMCPMC12825258

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.