Infectious Disease Informatics and Outbreak Detection
نویسندگان
چکیده
Daniel Zeng, Hsinchun Chen, Cecil Lynch, Millicent Eidson, and Ivan Gotham 1 Management Information Systems Department, Eller College of Management, University of Arizona, Tucson, Arizona 85721; 2 Division of Medical Informatics, School of Medicine, University of California, Davis, California 95616; also with California Department of Health Services; 3 New York State Department of Health, Albany, New York 12220; also with School of Public Health, University at Albany
منابع مشابه
Adjusting outbreak detection algorithms for surveillance during epidemic and non-epidemic periods
Many aberration detection algorithms are used in infectious disease surveillance systems to assist in the early detection of potential outbreaks. In this study, we explored a novel approach to adjusting aberration detection algorithms to account for the impact of seasonality inherent in some surveillance data. By using surveillance data for hand-foot-and-mouth disease in Shandong province, Chin...
متن کاملInferring Missing Infectious Links: A Case Study using 2003 Beijing SARS Outbreak Data
Missing data are a major practical challenge to infectious disease informatics research and practice. In particular, despite the best data collection efforts, information concerning contact-based infections can be significantly under-reported in epidemiological surveys and interviews. In this paper, we experiment with a number of computational techniques to infer missing infectious links, using...
متن کاملMolecular diagnosis of Mycoplasma conjunctivae in an outbreak of infectious keratoconjunctivitis in sheep
Infectious keratoconjunctivitis (IKC) is a painful, highly contagious ocular disease in sheep and goats. This study was carried out for identification and characterization of causative agent of ocular disease in a sheep flock consisting of 300 ewes in Mashhad, Iran. Several ocular swabs were taken from affected animals. The samples were pooled and processed in a laboratory for isolation of susp...
متن کاملEarly Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
Background and Objectives: Correct and timely detection of the outbreaks of diseases with a short incubation period is of great importance in the health system. The aim of this study was to determine the detection of dysentery outbreaks using the cumulative sum method. Methods: This time series study was conducted using the data of the National Surveillance System between 2014 and 2017. The...
متن کاملSkin mamfestation of monkey pox: A review
The current monkeypox outbreak reawakens the concern that poxviridae have a high potential for zoonotic spillover and causing a pandemic. Much fieldwork and research have been done by health care and public health workers in Africa during previous human outbreaks, and their knowledge should inform our global response to the current outbreak. However, unusual clinical presentations now have pote...
متن کامل