Evidence map›Paper›PMID 34380740›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.

Xiaofan Xing, Yuankang Xiong, Ruipu Yang, Rong Wang, Weibing Wang, Haidong Kan, Tun Lu, Dongsheng Li, Junji Cao, Josep Peñuelas and 16 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

26 authors at 9 institutions in 8 countries.

Xiaofan XingShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.ORCID 0000-0002-0334-6408
Yuankang XiongShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.
Ruipu YangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.
Rong WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China; rongwang@fudan.edu.cn.ORCID 0000-0003-1962-0165
Weibing WangKey Laboratory of Public Health Safety of the Ministry of Education and National Health Commission, Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200438, China.ORCID 0000-0002-4497-5251
Haidong KanKey Laboratory of Public Health Safety of the Ministry of Education and National Health Commission, Key Laboratory of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200438, China.
Tun LuShanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai 200438, China.
Dongsheng LiMicrosoft Research Asia, Shanghai 200232, China.
Junji CaoInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
Josep PeñuelasCREAF, Cerdanyola del Vallès, Barcelona 08193, Catalonia, Spain.ORCID 0000-0002-7215-0150
Philippe CiaisLaboratoire des Sciences du Climat et de l'Environnement, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CNRS, Université de Versailles Saint-Quentin, 91190 Gif-sur-Yvette, France.ORCID 0000-0001-8560-4943
Nico BauerPotsdam Institute for Climate Impact Research, Leibniz Association, 14412 Potsdam, Germany.ORCID 0000-0002-0211-4162
Olivier BoucherInstitut Pierre-Simon Laplace, CNRS, Sorbonne Université, 75252 Paris, France.
Yves BalkanskiLaboratoire des Sciences du Climat et de l'Environnement, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CNRS, Université de Versailles Saint-Quentin, 91190 Gif-sur-Yvette, France.ORCID 0000-0001-8241-2858
Didier HauglustaineLaboratoire des Sciences du Climat et de l'Environnement, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CNRS, Université de Versailles Saint-Quentin, 91190 Gif-sur-Yvette, France.
Guy BrasseurEnvironmental Modeling Group, Max Planck Institute for Meteorology, 20146 Hamburg, Germany.
Lidia MorawskaInternational Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia.ORCID 0000-0002-0594-9683
Ivan A JanssensDepartment of Biology, University of Antwerp, B2610 Wilrijk, Belgium.
Xiangrong WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.
Jordi SardansCREAF, Cerdanyola del Vallès, Barcelona 08193, Catalonia, Spain.ORCID 0000-0003-2478-0219
Yijing WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.
Yifei DengShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.
Lin WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.ORCID 0000-0002-4905-3432
Jianmin ChenShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.ORCID 0000-0001-5859-3070
Xu TangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.
Renhe ZhangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China.ORCID 0000-0001-7750-8679
Fudan University · CNCentre National de la Recherche Scientifique · FRUniversitat Autònoma de Barcelona · ESChinese Academy of Sciences · CNLeibniz Association · DEMicrosoft Research Asia (China) · CNNSF National Center for Atmospheric Research · USQueensland University of Technology · AUUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The real-time monitoring of reductions of economic activity by containment measures and its effect on the transmission of the coronavirus (COVID-19) is a critical unanswered question. We inferred 5,642 weekly activity anomalies from the meteorology-adjusted differences in spaceborne tropospheric NO

Indexed as

Machine LearningAir PollutionChinaCOVID-19HumansSocioeconomic Factorsair pollutionCOVID-19machine learningpandemic managementsatellite observation

Identifiers

PMID34380740
PMCPMC8379976
OpenAlexW3187199924

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.