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Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI

Understanding Citizens’ Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI

These keywords are categorized by restriction type (ie, stay-at-home order, restrictions on gatherings, and travel restrictions) and are specified as arguments for the Twitter API version 2’s Search API, using “OR” conditions. In addition, retweets were excluded from the search, and only English posts were retrieved.

Ryuichi Saito, Sho Tsugawa

J Med Internet Res 2025;27:e63824

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Development of New Stringency Indices for Nonpharmacological Social Distancing Policies Implemented in Korea During the COVID-19 Pandemic: Random Forest Approach

Development of New Stringency Indices for Nonpharmacological Social Distancing Policies Implemented in Korea During the COVID-19 Pandemic: Random Forest Approach

Most restriction policies targeting public events and religious gatherings had their feature importance around 0.5 across the analysis periods except for period 5. Restriction policies targeting public facilities also had their importance mainly around 0.50, except in period 5 which had importance values of either 0 or 1.00. The most prominent impact was observed with the restriction policies that targeted the use of public facilities.

Catherine Apio, Kyulhee Han, Doeun Lee, Bogyeom Lee, Taesung Park

JMIR Public Health Surveill 2024;10:e47099

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