Evidence map›Paper›PMID 36093340›Full record

ArticleInternational journal of environmental science and technology : IJEST2022

Prevention of COVID-19 pandemic through technological innovation: ensuring global innovative capability, absorptive capacity, and adaptive healthcare competency.

M K Anser, M Ahmad, M A Khan, A A Nassani, S E Askar, K Zaman, M M Q Abro, A Kabbani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental science and technology : IJEST, 2022. 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

8 authors.

M K AnserSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an, 710000 China.
M AhmadSchool of Economics, Zhejiang University, Hangzhou, 310058 China.
M A KhanDepartment of Economics, The University of Haripur, Haripur, 22620 Pakistan.
A A NassaniDepartment of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587 Saudi Arabia.
S E AskarDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 11451, Riyadh, 11587 Saudi Arabia.
K ZamanDepartment of Management, Aleppo University, Aleppo, Syria.
M M Q AbroDepartment of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587 Saudi Arabia.
A KabbaniDepartment of Management, Aleppo University, Aleppo, Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study examines the role of technology transfer in preventing communicable diseases, including COVID-19, in a heterogeneous panel of selected 65 countries. The study employed robust least square regression and innovation accounting matrixes to get robust inferences. The results found that overall technological innovation, including innovative capability, absorptive capacity, and healthcare competency, helps reduce infectious diseases, including the COVID-19 pandemic. Patent applications, scientific and technical journal articles, trade openness, hospital beds, and physicians are the main factors supporting the reduction of infectious diseases, including the COVID-19 pandemic. Due to inadequate research and development, healthcare infrastructure expenditures have caused many communicable diseases. The increasing number of mobile phone subscribers and healthcare expenditures cannot minimize the coronavirus pandemic globally. The impulse response function shows an increasing number of patent applications, mobile penetration, and hospital beds that will likely decrease infectious diseases, including COVID-19. In contrast, insufficient resource spending would likely increase death rates from contagious diseases over a time horizon. It is high time to digitalize healthcare policies to control coronavirus worldwide.

Indexed as

Communicable diseasesCOVID-19 pandemicHealthcare expendituresRobust least square regressionTechnological innovation

Identifiers

PMID36093340
PMCPMC9440456

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.