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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

In the past 2 decades, 3 coronaviruses have emerged and caused widespread public anxiety: SARS-Co V-1 in 2002; MERS-Co V in 2012; and most recently, SARS-Co V-2 in 2019. As of November 2023, the new COVID-19 caused by SARS-Co V-2 has led to more than 771 million confirmed cases and almost 7 million deaths [1].

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

Social Robot Interventions in Mental Health Care and Their Outcomes, Barriers, and Facilitators: Scoping Review

Social Robot Interventions in Mental Health Care and Their Outcomes, Barriers, and Facilitators: Scoping Review

Lately, the use of socially assistive robots (SARs) is attracting the interest of many researchers. SARs (or social robots) are robots meant to provide assistance through social interaction [2]. Their built-in sound, image, and motion sensors enable them to respond autonomously to a user and his environment [3-5]. SARs can be classified into 2 categories: companion and service-type robots.

Imane Guemghar, Paula Pires de Oliveira Padilha, Amal Abdel-Baki, Didier Jutras-Aswad, Jesseca Paquette, Marie-Pascale Pomey

JMIR Ment Health 2022;9(4):e36094

Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach

SARS-Co V-2 initially spread widely in China, then in Italy, and has since been reported worldwide [1,2]. SARS-Co V-2 is a novel coronavirus that causes COVID-19 [3]. Although SARS-Co V-2 has gained attention as a consequence of the global COVID-19 pandemic, other known human coronaviruses, including betacoronaviruses (SARS-Co V, MERS, OC43, HKU1) and alphacoronaviruses (229 E, NL63), have resulted in severe respiratory syndrome in patients and been of public health concern [4].

Junaed Younus Khan, Md Tawkat Islam Khondaker, Iram Tazim Hoque, Hamada R H Al-Absi, Mohammad Saifur Rahman, Reto Guler, Tanvir Alam, M Sohel Rahman

JMIR Med Inform 2020;8(11):e21648

Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective Study

Using WeChat, a Chinese Social Media App, for Early Detection of the COVID-19 Outbreak in December 2019: Retrospective Study

Shortly, the cause was identified as a novel coronavirus [1] that resembles severe acute respiratory syndrome (SARS) and it was named SARS-Co V-2 [2,3]. The outbreak has become a pandemic, with 2.7 million confirmed cases and nearly 200,000 deaths globally as of April 24, 2020 [4]. Early warning systems should be established to prevent or mitigate future disease outbreaks.

Wenjun Wang, Yikai Wang, Xin Zhang, Xiaoli Jia, Yaping Li, Shuangsuo Dang

JMIR Mhealth Uhealth 2020;8(10):e19589

Mathematical Modelling to Assess the Impact of Lockdown on COVID-19 Transmission in India: Model Development and Validation

Mathematical Modelling to Assess the Impact of Lockdown on COVID-19 Transmission in India: Model Development and Validation

However, two betacoronaviruses, severe acute respiratory syndrome coronavirus (SARS-Co V) and Middle East respiratory syndrome coronavirus (MERS-Co V), result in severe forms of pneumonia, causing 10% and 37% mortality, respectively [10,11]. SARS-Co V spread through 26 countries and affected more than 8000 individuals, while the MERS-Co V epidemic was mainly focused in Middle Eastern countries and affected nearly 2500 people.

Bakiya Ambikapathy, Kamalanand Krishnamurthy

JMIR Public Health Surveill 2020;6(2):e19368