Evidence map›Paper›PMID 35958871›Full record

ArticleFrontiers in public health2022

Perspectives from remote sensing to investigate the COVID-19 pandemic: A future-oriented approach.

Khalid Mehmood, Yansong Bao, Sana Mushtaq, Saifullah, Muhammad Ajmal Khan, Nadeem Siddique, Muhammad Bilal, Zhang Heng, Li Huan, Muhammad Tariq and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

11 authors.

Khalid MehmoodKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/CMA Key Laboratory for Aerosol-Cloud-Precipitation Nanjing University of Information Science & Technology, Nanjing, China.
Yansong BaoKey Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/CMA Key Laboratory for Aerosol-Cloud-Precipitation Nanjing University of Information Science & Technology, Nanjing, China.
Sana MushtaqNishtar Medical University, Multan, Pakistan.
SaifullahInstitute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Pakistan.
Muhammad Ajmal KhanDeanship of Library Affairs Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Nadeem SiddiqueGad and Birgit Rausing Library, Lahore University of Management Sciences (LUMS), Lahore, Pakistan.
Muhammad BilalSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China.
Zhang HengShanghai Satellite Engineering Institute, Shanghai, China.
Li HuanChina Aerodynamics Research and Development Center, Mianyang, China.
Muhammad TariqDepartment of Livestock Management, University of Agriculture, Sub-campus Toba Tek Singh, Faisalabad, Pakistan.
Sibtain AhmadFaculty of Animal Husbandry, Institute of Animal and Dairy Sciences, University of Agriculture, Faisalabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As scientific technology and space science progress, remote sensing has emerged as an innovative solution to ease the challenges of the COVID-19 pandemic. To examine the research characteristics and growth trends in using remote sensing for monitoring and managing the COVID-19 research, a bibliometric analysis was conducted on the scientific documents appearing in the Scopus database. A total of 1,509 documents on this study topic were indexed between 2020 and 2022, covering 165 countries, 577 journals, 5239 institutions, and 8,616 authors. The studies related to remote sensing and COVID-19 have a significant increase of 30% with 464 articles. The United States (429 articles, 28.42% of the global output), China (295 articles, 19.54% of the global output), and the United Kingdom (174 articles, 11.53%) appeared as the top three most contributions to the literature related to remote sensing and COVID-19 research.

Indexed as

COVID-19Communicable Disease ControlCross-Sectional StudiesHumansPandemicsRemote Sensing TechnologyUnited Statesbibliometric analysisCOVID-19network analysisremote sensingvisualization

Identifiers

PMID35958871
PMCPMC9360797

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.