Evidence map›Paper›PMID 37748067›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Reply to Ekström and Ottersen: Real-time access to data during outbreaks is a key to avoid a local epidemic becoming a global pandemic.

Nils Chr Stenseth, Rudolf Schlatte, Xiaoli Liu, Roger Pielke, Bin Chen, Ottar N Bjørnstad, Dimitri Kusnezov, George F Gao, Christophe Fraser, Jason D Whittington and 3 more

Abstract readComment
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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

5 · Who and what money

Authors and funding

13 authors.

Nils Chr StensethCenter for Pandemics and One Health Research, Sustainable Health Unit (SUSTAINIT), Faculty of Medicine, Oslo 0316, Norway.ORCID 0000-0002-1591-5399
Rudolf SchlatteDepartment of Informatics, University of Oslo, Oslo 0316, Norway.ORCID 0000-0001-5601-5517
Xiaoli LiuDepartment of Computer Science, University of Helsinki, Helsinki 00560, Finland.ORCID 0000-0003-4792-2267
Roger PielkeCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo 0316, Norway.
Bin ChenDivision of Landscape Architecture, Faculty of Architecture, University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-3496-2876
Ottar N BjørnstadCentre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo 0316, Norway.ORCID 0000-0002-1158-3753
Dimitri KusnezovDeputy Under Secretary, Artificial Intelligence and Technology Office, US Department of Energy, Washington, DC 20585.
George F GaoChinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0002-3869-615X
Christophe FraserPandemic Sciences Institute, University of Oxford, Oxford OX3 7DQ, United Kingdom.
Jason D WhittingtonCenter for Pandemics and One Health Research, Sustainable Health Unit (SUSTAINIT), Faculty of Medicine, Oslo 0316, Norway.ORCID 0000-0002-4070-8658
Peng GongDepartment of Geography and Earth Sciences, Urban Systems Institute, University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0003-1513-3765
Dabo GuanDepartment of Earth System Science, Tsinghua University, Beijing 100084, China.ORCID 0000-0003-3773-3403
Einar Broch JohnsenDepartment of Informatics, University of Oslo, Oslo 0316, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Disease OutbreaksPandemics

Identifiers

PMID37748067
PMCPMC10556645

What OpenQuestion holds

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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.