SummaryData on the topic of novel avian influenza A (H7N9) were collected based on the web analysis tool ‘Baidu Index’, a major Chinese search engine. We found a positive correlation between the volume of H7N9-related ‘cyber user awareness’ and the epidemic situation during the H7N9 outbreak in China (r=0.98, p<0.01, cumulative; r=0.43, p=0.018, daily) except in the early stage; the ranks of H7N9-related topics changed at different epidemic stages. This study may improve our understanding of the role of web-based media in infectious disease surveillance in China
ObjectivesRapid detection and surveillance of COVID-19 is essential to reducing spread of the virus....
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
BACKGROUND: In South Korea, there is currently no syndromic surveillance system using internet searc...
SummaryData on the topic of novel avian influenza A (H7N9) were collected based on the web analysis ...
SummaryObjectivesThe aim of this study was to assess cyber-user awareness of human infections with a...
The use of Internet-based systems for infectious disease surveillance has been increasingly explored...
The use of Internet-based systems for infectious disease surveillance has been increasingly explored...
Background: As internet and social media use have skyrocketed, epidemiologists have begun to use onl...
BACKGROUND: Google Flu Trends was developed to estimate influenza activity in many countries; howeve...
Purpose: Previous studies have showed that Google Trends of influenza-related search data were highl...
BACKGROUND: As internet and social media use have skyrocketed, epidemiologists have begun to use onl...
During the 2013 outbreak of human infections of avian influenza A(H7N9), the Centers for Disease Con...
Background: influenza outbreaks pose a significant threat to global public health. Traditional surve...
The influenza A (H7N9) subtype remains a public health problem in China affecting individuals in con...
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
ObjectivesRapid detection and surveillance of COVID-19 is essential to reducing spread of the virus....
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
BACKGROUND: In South Korea, there is currently no syndromic surveillance system using internet searc...
SummaryData on the topic of novel avian influenza A (H7N9) were collected based on the web analysis ...
SummaryObjectivesThe aim of this study was to assess cyber-user awareness of human infections with a...
The use of Internet-based systems for infectious disease surveillance has been increasingly explored...
The use of Internet-based systems for infectious disease surveillance has been increasingly explored...
Background: As internet and social media use have skyrocketed, epidemiologists have begun to use onl...
BACKGROUND: Google Flu Trends was developed to estimate influenza activity in many countries; howeve...
Purpose: Previous studies have showed that Google Trends of influenza-related search data were highl...
BACKGROUND: As internet and social media use have skyrocketed, epidemiologists have begun to use onl...
During the 2013 outbreak of human infections of avian influenza A(H7N9), the Centers for Disease Con...
Background: influenza outbreaks pose a significant threat to global public health. Traditional surve...
The influenza A (H7N9) subtype remains a public health problem in China affecting individuals in con...
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
ObjectivesRapid detection and surveillance of COVID-19 is essential to reducing spread of the virus....
Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet sear...
BACKGROUND: In South Korea, there is currently no syndromic surveillance system using internet searc...