ArticleAnnals of operations research2022
Social media effectiveness as a humanitarian response to mitigate influenza epidemic and COVID-19 pandemic.
Article in Annals of operations research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 48 citations in OpenAlex.
- Pricing decisions of converted and expanded enterprises for medical supplies under major public health emergencies.Frontiers in public health · 2026Article
- Spatio-temporal evaluation of social media as a tool for livestock disease surveillance.One health (Amsterdam, Netherlands) · 2023Article
- Article
- Optimal timing of non-pharmaceutical interventions during an epidemic.European journal of operational research · 2023Article
- Mathematical analysis of the impact of the media coverage in mitigating the outbreak of COVID-19.Mathematics and computers in simulation · 2023Article
- Prescriptive Analytics-Based SIRM Model for Predicting Covid-19 Outbreak.Global journal of flexible systems management · 2023Article
- FOMO (fate of online media only) in infectious disease modeling: a review of compartmental models.International journal of dynamics and control · 2023Review
- A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images.Annals of operations research · 2022Article
- Big data applications with theoretical models and social media in financial management.Annals of operations research · 2022Article
- Product availability and stockpiling in times of pandemic: causes of supply chain disruptions and preventive measures in retailing.Annals of operations research · 2022Article
- COVID-19 vaccine hesitancy: a social media analysis using deep learning.Annals of operations research · 2022Article
- Learnings from COVID-19 for managing humanitarian supply chains: systematic literature review and future research directions.Annals of operations research · 2022Article
- Cross-Verification of COVID-19 Information Obtained From Unofficial Social Media Accounts and Associated Changes in Health Behaviors: Web-Based Questionnaire Study Among Chinese Netizens.JMIR public health and surveillance · 2022Article
- An extended robust mathematical model to project the course of COVID-19 epidemic in Iran.Annals of operations research · 2022Article
- How is COVID-19 altering the manufacturing landscape? A literature review of imminent challenges and management interventions.Annals of operations research · 2021Article
- A structured literature review on the interplay between emerging technologies and COVID-19 - insights and directions to operations fields.Annals of operations research · 2021Article
- Harnessing Social Media in the Modelling of Pandemics-Challenges and Opportunities.Bulletin of mathematical biology · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza and COVID-19 are infectious diseases with significant burdens. Information and awareness on preventative techniques can be spread through the use of social media, which has become an increasingly utilized tool in recent years. This study developed a dynamic transmission model to investigate the impact of social media, particularly tweets via the social networking platform, Twitter on the number of influenza and COVID-19 cases of infection and deaths. We modified the traditional Susceptible-Exposed-Infectious-Recovered (SEIR-V) model with an additional social media component, in order to increase the accuracy of transmission dynamics and gain insight on whether social media is a beneficial behavioral intervention for these infectious diseases. The analysis found that social media has a positive effect in mitigating the spread of contagious disease in terms of peak time, peak magnitude, total infected, and total death; and the results also showed that social media's effect has a non-linear relationship with the reproduction number
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.