Evidence map›Paper›PMID 41700299›Full record

ArticleDigital government (New York, N.Y.)2025

Sustainable Personalized Home Care for Pandemic Management: A Service-Oriented Approach.

Hafsa Zafar, Muhammad Ali, Zarmina Ahmed, Maria Sarfraz, Basit Shafiq, Shafay Shamail, Ayesha Afzal, Jaideep Vaidya, Salman Raza, Ather Imran

Abstract read
In one paragraph

Article in Digital government (New York, N.Y.), 2025. 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

10 authors.

Hafsa ZafarLahore University of Management Sciences (LUMS), Pakistan.
Muhammad AliLahore University of Management Sciences (LUMS), Pakistan.
Zarmina AhmedLahore University of Management Sciences (LUMS), Pakistan.
Maria SarfrazLahore University of Management Sciences (LUMS), Pakistan.
Basit ShafiqLahore University of Management Sciences (LUMS), Pakistan.
Shafay ShamailLahore University of Management Sciences (LUMS), Pakistan.
Ayesha AfzalAir University, Pakistan.
Jaideep VaidyaRutgers University, USA.
Salman RazaSybrid Private Limited, Pakistan.
Ather ImranSybrid Private Limited, Pakistan.

Funding

Supplement for high performance compute clustersR35GM134927 · NIGMS · RUTGERS THE STATE UNIV OF NJ NEWARK · PI VAIDYA, JAIDEEP · 2020 to 2024
$2.1M
NIGMS NIH HHS R35 GM134927
6 · The paper itself

Abstract

The COVID-19 pandemic has shown us how a viral disease originating in one part of the world rapidly spread the entire globe in just a few weeks, causing a complete shutdown of socio-economic activities in almost all countries. We have seen that during vaccine unavailability, social distancing, rigorous contact tracing, and case isolation are found to be the most effective strategies to contain the disease outbreak. For effective management of home-based isolation, patient care should not be limited to the illness but should also take into account other factors that are related to the needs and sustenance of patients and their dependents. In this paper, we first present retrospective case studies of South Asian countries, discuss the strategies and technological interventions employed to fight the pandemic, and underscore the significant issues that persist and require action. Second, building upon the insights from these case studies, we propose an integrated service-oriented system that supports seamless interfacing and information sharing with the functional systems of service providers/ caregivers to develop, manage, and monitor care plans for patients undergoing home isolation. The viability of our proposed framework is demonstrated by providing a proof-of-concept implementation. Further, we discuss the technical issues and policy considerations for practical and sustainable deployment of such system(s).

Indexed as

Knowledge-centric workflowsPandemic resiliencePersonalized patient care plansWeb services

Identifiers

PMID41700299
PMCPMC12906966

What OpenQuestion holds

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LicenceTDM
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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.