Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index
出版年份 2020 全文链接
标题
Prediction of Number of Cases of 2019 Novel Coronavirus (COVID-19) Using Social Media Search Index
作者
关键词
-
出版物
International Journal of Environmental Research and Public Health
Volume 17, Issue 7, Pages 2365
出版商
MDPI AG
发表日期
2020-03-31
DOI
10.3390/ijerph17072365
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Straining the System: Novel Coronavirus (COVID-19) and Preparedness for Concomitant Disasters
- (2020) Nathaniel Smith et al. AMERICAN JOURNAL OF PUBLIC HEALTH
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges
- (2020) Chih-Cheng Lai et al. INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS
- Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
- (2020) Shi Zhao et al. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
- US Emergency Legal Responses to Novel Coronavirus
- (2020) Lawrence O. Gostin et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- COVID-19: what is next for public health?
- (2020) David L Heymann et al. LANCET
- Statement in support of the scientists, public health professionals, and medical professionals of China combatting COVID-19
- (2020) Charles Calisher et al. LANCET
- A novel coronavirus outbreak of global health concern
- (2020) Chen Wang et al. LANCET
- Evolution of CT Manifestations in a Patient Recovered from 2019 Novel Coronavirus (2019-nCoV) Pneumonia in Wuhan, China
- (2020) Heshui Shi et al. RADIOLOGY
- Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission
- (2020) Xintian Xu et al. Science China-Life Sciences
- The COVID‐19 epidemic
- (2020) Thirumalaisamy P. Velavan et al. TROPICAL MEDICINE & INTERNATIONAL HEALTH
- Breakthrough: Chloroquine phosphate has shown apparent efficacy in treatment of COVID-19 associated pneumonia in clinical studies
- (2020) Jianjun Gao et al. BioScience Trends
- A dengue fever predicting model based on Baidu search index data and climate data in South China
- (2019) Dan Liu et al. PLoS One
- Health Information Obtained From the Internet and Changes in Medical Decision Making: Questionnaire Development and Cross-Sectional Survey
- (2018) Yen-Yuan Chen et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- A review of influenza detection and prediction through social networking sites
- (2018) Ali Alessa et al. Theoretical Biology and Medical Modelling
- Interactive social media interventions to promote health equity: an overview of reviews
- (2016) V. Welch et al. Health Promotion and Chronic Disease Prevention in Canada-Research Policy and Practice
- New technologies in predicting, preventing and controlling emerging infectious diseases
- (2015) Eirini Christaki Virulence
- Cumulative Query Method for Influenza Surveillance Using Search Engine Data
- (2014) Dong-Woo Seo et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- The Parable of Google Flu: Traps in Big Data Analysis
- (2014) D. Lazer et al. SCIENCE
- Trending Now: Using Social Media to Predict and Track Disease Outbreaks
- (2011) Charles W. Schmidt ENVIRONMENTAL HEALTH PERSPECTIVES
- Molecular Epidemiology of Human Coronavirus OC43 Reveals Evolution of Different Genotypes over Time and Recent Emergence of a Novel Genotype due to Natural Recombination
- (2011) S. K. P. Lau et al. JOURNAL OF VIROLOGY
- Using Internet Searches for Influenza Surveillance
- (2008) Philip M. Polgreen et al. CLINICAL INFECTIOUS DISEASES
- The diagnostic challenges presented by patients with medically unexplained symptoms in general practice
- (2008) José M. Aiarzaguena et al. SCANDINAVIAN JOURNAL OF PRIMARY HEALTH CARE
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started