Evidence map›Paper›PMID 35774725›Full record

ReviewRemote sensing applications : society and environment2022

The role of remote sensing during a global disaster: COVID-19 pandemic as case study.

Albertus S Louw, Jinjin Fu, Aniket Raut, Azim Zulhilmi, Shuyu Yao, Miki McAlinn, Akari Fujikawa, Muhammad Taimur Siddique, Xiaoxiao Wang, Xinyue Yu and 2 more

Abstract readReview
In one paragraph

Review in Remote sensing applications : society and environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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

12 authors.

Albertus S LouwGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Jinjin FuGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Aniket RautGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Azim ZulhilmiGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Shuyu YaoGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Miki McAlinnGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Akari FujikawaGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Muhammad Taimur SiddiqueGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Xiaoxiao WangGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Xinyue YuGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Kaushik MandvikarGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.
Ram AvtarGraduate School of Environmental Earth Science, Hokkaido University, Sapporo, 060-0810, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remotely sensed imagery is used as a tool to aid decision makers and scientists in a variety of fields. A recent world event in which satellite imagery was extensively relied on by a variety of stakeholders was the COVID-19 pandemic. In this article we aim to give an overview of the types of information offered through remote sensing (RS) to help address different issues related to the pandemic. We also discuss about the stakeholders that benefited from the data, and the value added by its availability. The content is presented under four sub-sections; namely (1) the use of RS in real-time decision-making and strategic planning during the pandemic; how RS revealed the (2) environmental changes and (3) social and economic impacts caused by the pandemic. And (4) how RS informed our understanding of the epidemiology of SARS-CoV-2, the pathogen responsible for the pandemic. High resolution optical imagery offered updated on-the-ground data for e.g., humanitarian aid organizations, and informed operational decision making of shipping companies. Change in the intensity of air and water pollution after reduced anthropogenic activities around the world were captured by remote sensing - supplying concrete evidence that can help inform improved environmental policy. Several economic indicators were measured from satellite imagery, showing the spatiotemporal component of economic impacts caused by the global pandemic. Finally, satellite based meteorological data supported epidemiological studies of environmental disease determinants. The varied use of remote sensing during the COVID-19 pandemic affirms the value of this technology to society, especially in times of large-scale disasters.

Indexed as

COVID-19Decision-makingEconomyEpidemiologyPollutionRemote sensingReviewSatellite imagery

Identifiers

PMID35774725
PMCPMC9212936

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.