Abstract
Background and Aims: Mpox (formerly Monkeypox) is a zoonotic infectious disease with symptoms of rash, fever, and swollen lymph nodes. The most recent outbreak was reported in May 2022 with the first US case identified in the middle of the same month. Google Trends is a unique tool that quantifies frequencies of a specified search term in real-time, in a given time range, and by geographical location. The present study evaluates the utilisation of Google Trends data in understanding Mpox patterns in the US. Materials and Methods: On 29 September 2023, a Google Trends search was executed to analyse the popularity of the term Mpox for time range of 10 May 2022 to 28 September 2023. Data was exported into MS Excel and matched with the CDC’s Mpox case incidence data. Results: Mpox search was most popular in the District of Columbia (100) followed by Delaware (71), Maryland (70) and Georgia (68), respectively. The popularity scale of 24 was observed 2 days before the first US case was identified which could be attributed to the global rise in cases earlier in May 2022. Although a steep increase in Mpox searches was observed between July and August 2022, the trend aligned with the number of Mpox cases reported to the CDC during the same time frame. Conclusions: Google Trends data, if used in conjunction with other surveillance tools, can help in a better understanding of disease dynamics and may help validate trends obtained through other sources. Since Google Trends monitors and analyses searches in real-time, it can be valuable in establishing a robust action plan.
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