tetano
Editor, Senior Moderator
Virulence. 2015 Jun 11:0. [Epub ahead of print]
[h=1]New technologies in predicting, preventing and controlling emerging infectious diseases.[/h] Christaki E[SUP]1[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Surveillance of emerging infectious diseases is vital for the early identification of public health threats. Emergence of novel infections is linked to human factors such as population density, travel and trade and ecological factors like climate change and agricultural practices. A wealth of new technologies is becoming increasingly available for the rapid molecular identification of pathogens but also for the more accurate monitoring of infectious disease activity. Web-based surveillance tools and epidemic intelligence methods, used by all major public health institutions, are intended to facilitate risk assessment and timely outbreak detection. In this review, we present new methods for regional and global infectious disease surveillance and advances in epidemic modeling aimed to predict and prevent future infectious diseases threats.
[h=4]KEYWORDS:[/h] CDC: Center for Disease Control and Prevention; ECDC: European Center for Disease Control and Prevention; EWARN: Early Warning Alert and Response Network; Emerging infectious diseases; EpiSPIDER: Semantic Processing and Integration of Distributed Electronic Resources for Epidemics; FRED: Framework for Reconstructing Epidemic Dynamics; GIS: geographical information system; GLEAM: Global Epidemic and Mobility; GOARN: Global Outbreak Alert and Response Network; GPHIN: Global Public Health Intelligence Network; GPS: Global Positioning System; ILI: Influenza-like illness; MeRS: Middle East Respiratory Syndrome; ProMED: Program for Monitoring Emerging diseases; SARS: Severe Acute Respiratory Syndrome; WHO: World Health Organization (WHO); WNV: West Nile virus; epidemic modeling; event-based surveillance; outbreak; surveillance
PMID: 26068569 [PubMed - as supplied by publisher]
[h=1]New technologies in predicting, preventing and controlling emerging infectious diseases.[/h] Christaki E[SUP]1[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Surveillance of emerging infectious diseases is vital for the early identification of public health threats. Emergence of novel infections is linked to human factors such as population density, travel and trade and ecological factors like climate change and agricultural practices. A wealth of new technologies is becoming increasingly available for the rapid molecular identification of pathogens but also for the more accurate monitoring of infectious disease activity. Web-based surveillance tools and epidemic intelligence methods, used by all major public health institutions, are intended to facilitate risk assessment and timely outbreak detection. In this review, we present new methods for regional and global infectious disease surveillance and advances in epidemic modeling aimed to predict and prevent future infectious diseases threats.
[h=4]KEYWORDS:[/h] CDC: Center for Disease Control and Prevention; ECDC: European Center for Disease Control and Prevention; EWARN: Early Warning Alert and Response Network; Emerging infectious diseases; EpiSPIDER: Semantic Processing and Integration of Distributed Electronic Resources for Epidemics; FRED: Framework for Reconstructing Epidemic Dynamics; GIS: geographical information system; GLEAM: Global Epidemic and Mobility; GOARN: Global Outbreak Alert and Response Network; GPHIN: Global Public Health Intelligence Network; GPS: Global Positioning System; ILI: Influenza-like illness; MeRS: Middle East Respiratory Syndrome; ProMED: Program for Monitoring Emerging diseases; SARS: Severe Acute Respiratory Syndrome; WHO: World Health Organization (WHO); WNV: West Nile virus; epidemic modeling; event-based surveillance; outbreak; surveillance
PMID: 26068569 [PubMed - as supplied by publisher]