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Estimating the Epidemic Size of Superspreading Coronavirus Outbreaks in Real Time: Quantitative Study

Estimating the Epidemic Size of Superspreading Coronavirus Outbreaks in Real Time: Quantitative Study

We simulated SSE scenarios based on the epidemiological characteristics of SARS, MERS, and COVID-19 (Figure 1 C). For SARS and MERS to be considered under control, we assumed that there was a single exposure and no secondary transmission. For COVID-19, we assumed that 60% of the transmission occurred during the presymptomatic phase [19,20,35,39,40].

Kitty Y Lau, Jian Kang, Minah Park, Gabriel Leung, Joseph T Wu, Kathy Leung

JMIR Public Health Surveill 2024;10:e46687

Reddit and Google Activity Related to Non-COVID Epidemic Diseases Surged at Start of COVID-19 Pandemic: Retrospective Study

Reddit and Google Activity Related to Non-COVID Epidemic Diseases Surged at Start of COVID-19 Pandemic: Retrospective Study

This study retrospectively uses large public data sets, such as Google Trends and Reddit, to estimate the level of public interest in 6 non-COVID epidemic diseases (chikungunya, Ebola, H1 N1 influenza, Middle Eastern respiratory syndrome [MERS], severe acute respiratory syndrome [SARS], and Zika virus) from 2018 through the end of 2020.

Jack A Cummins, Adam D Lipworth

JMIR Form Res 2023;7:e44603