<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yan W</submitter><funding>National Natural Science Foundation of China</funding><pagination>e28382</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10108296</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>95(1)</volume><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 &lt; 0.05). Meta-analysis showed signifi</pubmed_abstract><journal>Journal of medical virology</journal><pubmed_title>Association between public attention and monkeypox epidemic: A global lag-correlation analysis.</pubmed_title><pmcid>PMC10108296</pmcid><funding_grant_id>72122001</funding_grant_id><funding_grant_id>72211540398</funding_grant_id><funding_grant_id>71934002</funding_grant_id><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Liang W</pubmed_authors><pubmed_authors>Liu M</pubmed_authors><pubmed_authors>Liu Q</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Yan W</pubmed_authors><pubmed_authors>Du M</pubmed_authors><pubmed_authors>Qin C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Association between public attention and monkeypox epidemic: A global lag-correlation analysis.</name><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 &lt; 0.05). Meta-analysis showed signifi</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2025-04-04T22:59:31.952Z</modification><creation>2025-04-04T22:59:31.952Z</creation></dates><accession>S-EPMC10108296</accession><cross_references><pubmed>36478381</pubmed><doi>10.1002/jmv.28382</doi></cross_references></HashMap>