A Real-Time Infodemiology Study on Public Interest in Mpox (Monkeypox) following the World Health Organization Global Public Health Emergency Declaration

被引:6
|
作者
Bhagavathula, Akshaya Srikanth [1 ]
Raubenheimer, Jacques E. E. [2 ]
机构
[1] Univ Arkansas, Coll Educ & Hlth Profess, Ctr Publ Hlth & Technol, Dept Hlth Human Performance & Recreat, Fayetteville, AR 72701 USA
[2] Univ Sydney, Fac Med & Hlth, Sch Med Sci Biomed Informat & Digital Hlth, Sydney, NSW 2006, Australia
关键词
infodemiology; Google trends; Google health trends API; monkeypox; surveillance; public health; infoveillance; COUNTRIES;
D O I
10.3390/info14010005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Google Trends (GT) is a useful real-time surveillance tool for epidemic outbreaks such as monkeypox (Mpox). GT provides hour-by-hour (real-time) data for the last seven days of Google searches. Non-real-time data are a random sample that encompasses search trends from 2004 and up to 72 h. Google Health Trends (GHT) API extracts daily raw search probabilities relative to the time period and size of the underlying population. However, little is known about the utility of GT real-time surveillance and GHT API following the public health announcements. Thus, this study aimed to analyzed Mpox GT real-time, non-real-time, and GHT API data 72 h before and after the WHO declared Mpox a public health emergency of international concern (PHEIC) in the top five Mpox-affected countries. Joinpoint regression was used to measure hourly percentage changes (HPC) in search volume. The WHO PHEIC statement on Mpox generated 18,225.6 per 10 million Google searches in the U.S. and Germany (946.8), and in 0-4 h, the HPC increased by an average of 103% (95% CI: 37.4-200.0). This study showed the benefits of real-time surveillance and the GHT API for monitoring online demand for information on emerging infectious diseases such as Mpox.
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页数:9
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