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Pre-Epidemic Diagnosis in the System Risk-Oriented Epidemiological Surveillance of Infectious Diseases

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 23 Oct 2018Publisher:LLC NumicomJournal:Epidemiology and Vaccine Prevention, volume 17, pages 31-37 (issn: 2073-3046, eissn: 2619-0494,

Authors: E. G. Simonova; V. I. Sergevnin;

doi: 10.31631/2073-3046-2018-17-5-31-37

Pre-Epidemic Diagnosis in the System Risk-Oriented Epidemiological Surveillance of Infectious Diseases

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Abstract

This article is devoted to both theoretical and practical aspects of modern epidemiology of infectious diseases associated with the improvement of pre-epidemic diagnostics and the need for its implementation in the system of risk-based surveillance. The authors summarized and systematized the current data on the factors of epidemiological risk as well as suggested methodological approaches to identify and assess the prerequisites and precursors of complication of the epidemiological situation. In addition, they took into consideration the existing problems of pre-epidemic diagnosis and ways to solve them.

Related Organizations

Lomonosov Moscow State University
Russian Federation
Central Research Institute of Epidemiology
Russian Federation
Central Research Institute of Epidemiology
Russian Federation
Perm State University
Russian Federation
Perm State University
Russian Federation

Keywords

предэпидемическая диагностика, BD143-237, Epistemology. Theory of knowledge, риск-ориентированный надзор

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	8
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%