Improvement of the Normative-Regulatory Framework Concerning Anti-Epidemic Procedures for Works with Infectious Disease Agents in Mobile Laboratories of Specialized Anti-Epidemic Teams (SAET)

Abstract

Carried out is a range of investigations aimed at the improvement of the anti-epidemic procedures for works with infectious disease agents (herein biological safety provision) in mobile laboratories of specialized anti-epidemic teams (SAET). Evaluation of the operational experience of stationary and field laboratories, as well as comparative analysis of the national safety requirements for works with pathogenic biological agents and WHO international regulations in the sphere of biological safety provision in laboratories, has made it possible to outline common for all types of microbiological laboratories principles for biosafety provision. With due consideration of these principles formulated are the core requirements for the provision of biological safety of SAET activities. Based on the results of biorisk and biohazard assessment which have to do with innovative mobile laboratories, worked out is a system of anti-epidemic procedures aimed towards establishment of the conditions that offer as low as practically achievable level of risk for personnel of SAET mobile laboratories, for population and human environment too. These practices, designed for biological safety provision among the personnel of mobile laboratories (ML), have been played back in a number of standard operational procedures. With a view to establishing of the environment with acceptable level of biorisk for the personnel and population when ML are used for various purposes and in various contingencies (in full force, single unit or several modules), worked out are the algorithms of decision-making support as regards selection of modules and optional accessories. However, there is a need for emergency response plans and training programs for the personnel on the provision of biosafety in ML to ensure and maintain acceptable level of biorisk connected with ML functioning.