Evidence map›Paper›PMID 34899059›Full record

ArticleJournal of public affairs2021

COVID-19 pandemic control and administrative issues in Pakistan: How Pakistan mitigated both pandemic and administration issues?

Muhammad Ahsan Ali Raza, Chen Yan, Hafiz Syed Mohsin Abbas, Atta Ullah

Abstract read
In one paragraph

Article in Journal of public affairs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Screening of Natural Compounds as Inhibitor of MCurrent pharmaceutical design · 2025
    Article
  3. Article
  4. Article
  5. 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

4 authors.

Muhammad Ahsan Ali RazaSchool of Economics and Management Beijing University of Posts and Telecommunications Beijing China.
Chen YanSchool of Economics and Management Beijing University of Posts and Telecommunications Beijing China.
Hafiz Syed Mohsin AbbasCollege of Public Administration Huazhong University of Science and Technology (HUST) Main Campus Wuhan China.ORCID https://orcid.org/0000-0002-8554-5485
Atta UllahSchool of Management Huazhong University of Science and Technology (HUST) Main Campus Wuhan China.ORCID https://orcid.org/0000-0002-0590-563X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is wreaking havoc all around the globe, and Pakistan bears no exception. This study explores Pakistan's response toward controlling COVID-19 Pandemic from the day the 1st case was reported, February 26, 2020, in Pakistan until August 31, 2020. It explores the administrative conflicts among federal and provincial governments and political behaviors of political parties toward the COVID-19 pandemic by referring Government Response Index. By applying the ARDL model approach, results show that since the administrative harmony had been implemented in Pakistan in July 2020, its positive impact on combating the COVID-19 situation in Pakistan and substantial improvement in recovered cases and a downward trend new confirmed and fatal cases has observed in Pakistan. The findings demonstrate that administrative efforts scattered due to internal conflicts from February to mid-July 2020 have ended, and collective aggressive policy enforcement has been mitigating the adverse impact of COVID-19 in Pakistan since July to date. However, sustainable measures and prudent policy implications are needed to combat the ongoing COVID-19 pandemic and future calamities.

Indexed as

administrative conflictsADRLCOVID‐19 pandemicgovernment of Pakistangovernment response indexpolicy implementation

Identifiers

PMID34899059
PMCPMC8646662

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.