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Trends in Online Search Activity and the Correlation with Daily New Cases of Monkeypox among 102 Countries or Territories

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  • Min Du

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China)

  • Chenyuan Qin

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China)

  • Wenxin Yan

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China)

  • Qiao Liu

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China)

  • Yaping Wang

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China)

  • Lin Zhu

    (Center for Primary Care and Outcomes Research, School of Medicine, Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA 94305-2004, USA)

  • Wannian Liang

    (Vanke School of Public Health, Tsinghua University, Beijing 100084, China)

  • Min Liu

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China)

  • Jue Liu

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
    Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People’s Republic of China, Beijing 100191, China)

Abstract

Research assessing the trend in online search activity on monkeypox (mpox) and the correlation with the mpox epidemic at the global and national level is scarce. The trend of online search activity and the time-lag correlations between it and daily new mpox cases were estimated by using segmented interrupted time-series analysis and Spearman correlation coefficient (rs), respectively. We found that after the declaration of a Public Health Emergency of International Concern (PHEIC), the proportion of countries or territories with increasing changes in online search activity was lowest in Africa (8.16%, 4/49), and a downward trend in online search activity was highest in North America (8/31, 25.81%). The time-lag effect of global online search activity on daily new cases was significant (rs = 0.24). There were eight countries or territories with significant time-lag effect; the top three countries or territories were Brazil (rs = 0.46), United States (rs = 0.24), and Canada (rs = 0.24). Interest behavior in mpox was insufficient, even after the declaration of PHEIC, especially in Africa and North America. Online search activity could be used as an early indicator of the outbreak of mpox at the global level and in epidemic countries.

Suggested Citation

  • Min Du & Chenyuan Qin & Wenxin Yan & Qiao Liu & Yaping Wang & Lin Zhu & Wannian Liang & Min Liu & Jue Liu, 2023. "Trends in Online Search Activity and the Correlation with Daily New Cases of Monkeypox among 102 Countries or Territories," IJERPH, MDPI, vol. 20(4), pages 1-13, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3395-:d:1069096
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    References listed on IDEAS

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    1. Mostafa Abbas & Thomas B. Morland & Eric S. Hall & Yasser EL-Manzalawy, 2021. "Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States," IJERPH, MDPI, vol. 18(9), pages 1-24, April.
    2. Ya Li & Bingyin Shi & Sheli Li, 2014. "Association between Serum Chemerin Concentrations and Clinical Indices in Obesity or Metabolic Syndrome: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-14, December.
    3. Arora, Vishal S. & McKee, Martin & Stuckler, David, 2019. "Google Trends: Opportunities and limitations in health and health policy research," Health Policy, Elsevier, vol. 123(3), pages 338-341.
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