{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Yan W"],"funding":["National Natural Science Foundation of China"],"pagination":["e28382"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10108296"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["95(1)"],"pubmed_abstract":["The human monkeypox has become a public health problem globally. Google Trends Index (GTI) is an indicator of public attention, being potential for infectious disease outbreak surveillance. In this study, we used lag-correlation analysis to evaluate the spearman correlation coefficients between public attention and monkeypox epidemic by -36 to +36 days-lag in top 20 countries with most cumulated cases until September 30, 2022, the meta-analyses were performed to pool the coefficients of countries among all lags. We also constructed vector autoregression model and Granger-causality test to probe the significance of GTI in monkeypox forecasting. The strongest spearman correlation was found at lag +13 day (r = 0.53, 95% confidence interval: 0.371-0.703, p < 0.05). Meta-analysis showed signifi"],"journal":["Journal of medical virology"],"pubmed_title":["Association between public attention and monkeypox epidemic: A global lag-correlation analysis."],"pmcid":["PMC10108296"],"funding_grant_id":["72122001","72211540398","71934002"],"pubmed_authors":["Liu J","Liang W","Liu M","Liu Q","Wang Y","Yan W","Du M","Qin C"],"additional_accession":[]},"is_claimable":false,"name":"Association between public attention and monkeypox epidemic: A global lag-correlation analysis.","description":"The human monkeypox has become a public health problem globally. Google Trends Index (GTI) is an indicator of public attention, being potential for infectious disease outbreak surveillance. In this study, we used lag-correlation analysis to evaluate the spearman correlation coefficients between public attention and monkeypox epidemic by -36 to +36 days-lag in top 20 countries with most cumulated cases until September 30, 2022, the meta-analyses were performed to pool the coefficients of countries among all lags. We also constructed vector autoregression model and Granger-causality test to probe the significance of GTI in monkeypox forecasting. The strongest spearman correlation was found at lag +13 day (r = 0.53, 95% confidence interval: 0.371-0.703, p < 0.05). Meta-analysis showed signifi","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-04-04T22:59:31.952Z","creation":"2025-04-04T22:59:31.952Z"},"accession":"S-EPMC10108296","cross_references":{"pubmed":["36478381"],"doi":["10.1002/jmv.28382"]}}