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Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

PNAS Nexus(2022)10.1093/pnasnexus/pgac093Source: DataRank Database

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning is a research paper published in PNAS Nexus (2022). On theSindex it has a DataRank of 0. It has been cited 50 times.

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Open Access50 citations

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Enrichment:Funding (16 grants)Impact (FWCI 8.38)OA: goldTopics (75)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (3)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (100)

Flavio Azevedo ORCID,Koustav De ORCID,Julián C. Riaño-Moreno,Marina Maglić ORCID,Theofilos Gkinopoulos ORCID

Live enrichment

PubMed:35990802 PMC:PMC9381137 OpenAlex:https://openalex.org/W4286247879

Biotechnology and Biological Sciences Research Council

Grant: BB/R010668/1

A Biological Framework of Reduced Physical and Social Activity across the Lifespan

Medical Research Council

Grant: MR/P014097/2

Dutch Research Council (NWO)

Grant: 440.20.003

Acquiring, Comprehending, and Using Information Related to COVID-19

Austrian Science Fund FWF

Grant: I 3381

Effects of Acute Stress on Social Behavior

Medical Research Council

Grant: MR/P014097/1

Modelling variability in the social brain across the lifespan

Biotechnology and Biological Sciences Research Council

Grant: BB/R010668/2

French National Research Agency (ANR)

Grant: ANR-10-IDEX-0001

French National Research Agency (ANR)

Grant: ANR-17-EURE-0010

The Research Council of Norway

Grant: 262675

Centre for Experimental Research on Fairness, Inequality, and Rationality (FAIR)

Research Council of Finland

Grant: 323207

Moralities of Intelligent Machines

French National Research Agency (ANR)

Grant: ANR-17-EURE-0017

National Institutes of Health

Grant: 5R01AG057234-05

US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative Research

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

French National Research Agency (ANR)

Grant: ANR-10-LABX-0087

Ministry of Education, Science and Technological Development of Republic of Serbia

Grant: 200163

Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 451-03-68/2020-14/200163 (University of Belgrade, Faculty of Philosophy)

Australian Research Council (ARC)

Grant: DP180102384

Discovery Projects - Grant ID: DP180102384

FWCI

8.38

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/pnasnexus/article-pdf/1/3/pgac093/45448725/pgac093.pdf

publisherhttps://academic.oup.com/pnasnexus/article-pdf/1/3/pgac093/45448725/pgac093.pdf

publisherhttps://academic.oup.com/pnasnexus/advance-article-pdf/doi/10.1093/pnasnexus/pgac093/44422155/pgac093.pdf

journalhttps://doi.org/10.1093/pnasnexus/pgac093

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35990802

Fields of Study

COVID-19 and Mental HealthCOVID-19 epidemiological studiesMental Health Research Topics05 social sciences0501 psychology and cognitive sciences

Keywords

PandemicCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PsychologyArtificial intelligenceCognitive psychologyComputer scienceVirologyMedicineHygienePolicy SupportSocial DistancingPublic Health MeasuresCovid-19EconomicsCOVID-19; social distancing; hygiene; policy support; public health measures150[SHS.PSY]Humanities and Social Sciences/PsychologySocial SciencesFields of Research::42 - Health sciencesQ1[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]RA0421RA0421 Public health. Hygiene. Preventive MedicineSocial Sciences - Other TopicsSocial and Political Sciencesta515501006 Experimental psychologyta3141Social Sciences, InterdisciplinaryJCOVID-19; hygiene; policy support; public health measures; social distancingMultidisciplinary Sciencesmachine learningFields of Research::46 - Information and computing sciences::4611 - Machine learningSDG 3 – Gesundheit und Wohlergehen501030 KognitionswissenschaftScience & Technology - Other Topics5171 Political ScienceCOVID-19, social distancing, hygiene, policy support, public health measuresHälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomiMORALITY501030 Cognitive science170J Political Science[SHS.PSY] Humanities and Social Sciences/PsychologySDG 3 - Good Health and Well-beingOPEN-MINDEDNESSNationalekonomiESTEEMMCCComputer. Automationta113Science & TechnologyPsykologi (exklusive tillämpad psykologi)HM Sociology / társadalomkutatás501006 ExperimentalpsychologieDASHealth Care Service and Management, Health Policy and Services and Health Economy[SHS.SCIPO]Humanities and Social Sciences/Political science[STAT.ML] Statistics [stat]/Machine Learning [stat.ML]SELF-CONTROLPsychology (excluding Applied Psychology)COVID-19; hygiene; policy support; public health measures; social distancing;ta1181Human medicine[SHS.SCIPO] Humanities and Social Sciences/Political scienceFields of Research::52 - PsychologySINGLE-ITEM MEASURE

Sustainable Development Goals

SDG 1: 1. No povertySDG 3: 3. Good healthSDG 0: Good health and well-being

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

FAIR Checklist

Authors (100)

Funding (16 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)