scholarly article | Q13442814 |
P2093 | author name string | X Dong | |
B Carlson | |||
M L Boulton | |||
J P Montgomery | |||
E V Wells | |||
P2860 | cites work | Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic | Q21135257 |
Detecting influenza epidemics using search engine query data | Q27700189 | ||
Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales | Q27700202 | ||
The spatiotemporal association of non-prescription retail sales with cases during the 2009 influenza pandemic in Great Britain | Q28657934 | ||
Information technology and global surveillance of cases of 2009 H1N1 influenza | Q28749657 | ||
Evaluating syndromic surveillance systems at institutions of higher education (IHEs): a retrospective analysis of the 2009 H1N1 influenza pandemic at two universities. | Q30226464 | ||
China's heath care system and avian influenza preparedness | Q30229017 | ||
Using Google Flu Trends data in forecasting influenza-like-illness related ED visits in Omaha, Nebraska. | Q30364858 | ||
Absenteeism in schools during the 2009 influenza A(H1N1) pandemic: a useful tool for early detection of influenza activity in the community? | Q30408453 | ||
Etiology and clinical characteristics of influenza-like illness (ILI) in outpatients in Beijing, June 2010 to May 2011 | Q30411645 | ||
Using Google Trends for influenza surveillance in South China | Q30426682 | ||
Correlation between national influenza surveillance data and google trends in South Korea. | Q30715864 | ||
Monitoring influenza activity in the United States: a comparison of traditional surveillance systems with Google Flu Trends | Q33893785 | ||
Association of over-the-counter pharmaceutical sales with influenza-like-illnesses to patient volume in an urgent care setting | Q34651011 | ||
Monitoring influenza epidemics in china with search query from baidu | Q34764064 | ||
Google Flu Trends: correlation with emergency department influenza rates and crowding metrics. | Q36115640 | ||
Syndromic analysis of computerized emergency department patients' chief complaints: an opportunity for bioterrorism and influenza surveillance | Q39645123 | ||
Globalization and the challenges to health systems | Q47443776 | ||
P433 | issue | 2 | |
P304 | page(s) | 274-281 | |
P577 | publication date | 2016-03-10 | |
P1433 | published in | Journal of Public Health | Q15754594 |
P1476 | title | Syndromic surveillance for influenza in Tianjin, China: 2013-14. | |
P478 | volume | 39 |
Q91897535 | Cloud-Based System for Effective Surveillance and Control of COVID-19: Useful Experiences From Hubei, China |
Q90629469 | Using Baidu search index to monitor and predict newly diagnosed cases of HIV/AIDS, syphilis and gonorrhea in China: estimates from a vector autoregressive (VAR) model |