Evidence map›Paper›PMID 36619295›Full record

ArticleCase studies on transport policy2023

Impact of public transport disruption on access to healthcare facility and well-being during the COVID-19 pandemic: A qualitative case study in Metro Manila, Philippines.

Varsolo Sunio, Jedd Carlo Ugay, Chen-Wei Li, Harvy Joy Liwanag, Jerico Santos

Open access · greenAbstract read
In one paragraph

Article in Case studies on transport policy, 2023. 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
3.5field-weighted citation impact, top 9% of its field
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, 9 citations in OpenAlex.

  1. Article
  2. The Now Normal.Acta medica Philippina · 2024
    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

5 authors at 3 institutions in 2 countries.

Varsolo SunioDepartment of Science and Technology - Philippine Council for Industry, Energy, and Emerging Technology Research and Development (DOST-PCIEERD), Taguig City, Philippines.
Jedd Carlo UgayEmbassy of the Netherlands in Manila, Philippines.
Chen-Wei LiALMEC Corporation, Tokyo, Japan.
Harvy Joy LiwanagInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Jerico SantosUniversity of the Philippines-Manila, Ermita, Manila, Philippines.
Philippine Council for Industry, Energy, and Emerging Technology Research and DevelopmentUniversity of Bern · CHUniversity of the Philippines Manila · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has forced many governments to halt public transport operations. A consequence of such disruption is the reduction in access to critical facilities by individuals who rely on public transport for their daily mobility. We investigate the impact disparities caused by the restriction of public transportation on the access of healthcare workers and patients to healthcare facilities during the COVID-19 pandemic. Metro Manila is an appropriate case study site because the duration of suspension of public transport in the mega-city is one of the longest in the world. The prolonged duration of the lockdown could have devastating impacts on the well-being of individuals who are reliant on public transport to access essential services. Guided by the Yin-Eisenhardt approach to qualitative research, we examined the data from 55 individuals using within-case and cross-case analyses iteratively for the purpose of building a model on the impact of

Indexed as

AccessibilityCOVID-19EquityPublic transport disruptionWell-being

Identifiers

PMID36619295
PMCPMC9810551
OpenAlexW4313594450

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.