Masthead
(Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - December 4, 2016 Category: Infectious Diseases Tags: Cover/Standing Material Source Type: research
Editorial Board
(Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - December 4, 2016 Category: Infectious Diseases Tags: Cover/Standing Material Source Type: research
Editorial Advisory Board
(Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - December 4, 2016 Category: Infectious Diseases Tags: Cover/Standing Material Source Type: research
Cover
(Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - December 4, 2016 Category: Infectious Diseases Tags: Cover/Standing Material Source Type: research
epiDMS: Data Management and Analytics for Decision-Making From Epidemic Spread Simulation Ensembles
We describe and illustrate with examples a novel epidemic simulation data management system, epiDMS, that was developed to address the challenges that arise from the need to generate, search, visualize, and analyze, in a scalable manner, large volumes of epidemic simulation ensembles and observations during the progression of an epidemic.
Results and conclusions. epiDMS is a publicly available system that facilitates management and analysis of large epidemic simulation ensembles. epiDMS aims to fill an important hole in decision-making during healthcare emergencies by enabling critical services with significant econom...
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Liu, S., Poccia, S., Candan, K. S., Chowell, G., Sapino, M. L. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Elucidating Transmission Patterns From Internet Reports: Ebola and Middle East Respiratory Syndrome as Case Studies
The paucity of traditional epidemiological data during epidemic emergencies calls for alternative data streams to characterize the key features of an outbreak, including the nature of risky exposures, the reproduction number, and transmission heterogeneities. We illustrate the potential of Internet data streams to improve preparedness and response in outbreak situations by drawing from recent work on the 2014–2015 Ebola epidemic in West Africa and the 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea. We show that Internet reports providing detailed accounts of epidemiological clusters are particul...
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Chowell, G., Cleaton, J. M., Viboud, C. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data
Human travel can shape infectious disease dynamics by introducing pathogens into susceptible populations or by changing the frequency of contacts between infected and susceptible individuals. Quantifying infectious disease–relevant travel patterns on fine spatial and temporal scales has historically been limited by data availability. The recent emergence of mobile phone calling data and associated locational information means that we can now trace fine scale movement across large numbers of individuals. However, these data necessarily reflect a biased sample of individuals across communities and are generally aggrega...
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Wesolowski, A., Buckee, C. O., Engo-Monsen, K., Metcalf, C. J. E. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Mind the Scales: Harnessing Spatial Big Data for Infectious Disease Surveillance and Inference
Spatial big data have the velocity, volume, and variety of big data sources and contain additional geographic information. Digital data sources, such as medical claims, mobile phone call data records, and geographically tagged tweets, have entered infectious diseases epidemiology as novel sources of data to complement traditional infectious disease surveillance. In this work, we provide examples of how spatial big data have been used thus far in epidemiological analyses and describe opportunities for these sources to improve disease-mitigation strategies and public health coordination. In addition, we consider the technica...
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Lee, E. C., Asher, J. M., Goldlust, S., Kraemer, J. D., Lawson, A. B., Bansal, S. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Epidemic Forecasting is Messier Than Weather Forecasting: The Role of Human Behavior and Internet Data Streams in Epidemic Forecast
We describe some of similarities and differences between these 2 fields and how the epidemic modeling community is rising to the challenges posed by forecasting to help anticipate and guide the mitigation of epidemics. We conclude that some of the fundamental differences between these 2 fields, such as human behavior, make disease forecasting more challenging than weather forecasting. (Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Moran, K. R., Fairchild, G., Generous, N., Hickmann, K., Osthus, D., Priedhorsky, R., Hyman, J., Del Valle, S. Y. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health
The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources have complementary strengths—high veracity in the data from traditional sources and high velocity and variety in patient-generated data—they can be combined to build more-robust public health systems. However, they also have unique challenges. Patient-generated data in particular are often completely unstructured and highly context dependent, posing essentially a machi...
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Salathe, M. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
A Platform for Monitoring Regional Antimicrobial Resistance, Using Online Data Sources: ResistanceOpen
Conclusions. Using existing nontraditional data sources, we have developed a Web-based platform for aggregating antimicrobial resistance indices to support monitoring of regional antimicrobial resistance patterns. (Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: MacFadden, D. R., Fisman, D., Andre, J., Ara, Y., Majumder, M. S., Bogoch, I. I., Daneman, N., Wang, A., Vavitsas, M., Castellani, L., Brownstein, J. S. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems
While big data have proven immensely useful in fields such as marketing and earth sciences, public health is still relying on more traditional surveillance systems and awaiting the fruits of a big data revolution. A new generation of big data surveillance systems is needed to achieve rapid, flexible, and local tracking of infectious diseases, especially for emerging pathogens. In this opinion piece, we reflect on the long and distinguished history of disease surveillance and discuss recent developments related to use of big data. We start with a brief review of traditional systems relying on clinical and laboratory reports...
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Simonsen, L., Gog, J. R., Olson, D., Viboud, C. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Big Data for Infectious Disease Surveillance and Modeling
We devote a special issue of the Journal of Infectious Diseases to review the recent advances of big data in strengthening disease surveillance, monitoring medical adverse events, informing transmission models, and tracking patient sentiments and mobility. We consider a broad definition of big data for public health, one encompassing patient information gathered from high-volume electronic health records and participatory surveillance systems, as well as mining of digital traces such as social media, Internet searches, and cell-phone logs. We introduce nine independent contributions to this special issue and highlight seve...
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Authors: Bansal, S., Chowell, G., Simonsen, L., Vespignani, A., Viboud, C. Tags: BIG DATA FOR INFECTIOUS DISEASE SURVEILLANCE AND MODELING Source Type: research
Xu et al (J Infect Dis 2013; 208:528-38)
(Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Tags: ERRATUM Source Type: research
Erratum
(Source: The Journal of Infectious Diseases)
Source: The Journal of Infectious Diseases - November 13, 2016 Category: Infectious Diseases Tags: ERRATUM Source Type: research
