The use of integrative indicators based on laboratory data to assess the efficiency of the current epidemiological surveillance system

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Abstract

Objective. Evaluation of the prospects for using integrative indicators based on laboratory data to analyze the completeness and objectivity of morbidity data, as well as comparative and operational assessment of the effectiveness of the epidemiological surveillance system for the new coronavirus infection (COVID-19).

Materials and methods. The calculation and analysis of integrative indicators was carried out based on the results of PCR studies for the presence of SARS-CoV-2 RNA according to the SOLAR (System of Laboratory Aggregation Result) platform and information on the incidence of COVID-19 in the constituent entities of the Russian Federation for the period 2022–2023.

Results. It is shown that the results of PCR studies can be used to assess the dynamics of the epidemic process. Methods for assessing the completeness and objectivity of morbidity data in the constituent entities of the Russian Federation using integrative indicators are proposed. The use of integrative indicators to identify regional characteristics in the diagnosis and recording of COVID-19 cases is substantiated.

Conclusion. Integrative indicators based on morbidity data and laboratory data can be successfully used as criteria for assessing the completeness and objectivity of information in epidemiological analysis. They can also serve as a basis for comparative and operational assessment of the effectiveness of the epidemiological surveillance system.

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About the authors

Dmitriy V. Dubodelov

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Author for correspondence.
Email: dubodelov@cmd.su
ORCID iD: 0000-0003-3093-5731

Сand. Med. Sci., Senior Researcher, Laboratory of Viral Hepatitis

Russian Federation, Moscow

Vasily G. Akimkin

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: crie@pcr.su
ORCID iD: 0000-0003-4228-9044

Professor, Academician of the Russian Academy of Sciences, MD, Director

Russian Federation, Moscow

Tatiana A. Semenenko

N.F. Gamaleya National Research Center for Epidemiology and Microbiology

Email: semenenko@gamaleya.org
ORCID iD: 0000-0002-6686-9011

Professor, MD, Head, Epidemiology Department; Рrofessor, Department of Infectology and Virology, Institute of Professional Education

Russian Federation, Moscow

Anna S. Esman

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: esman@cmd.su
ORCID iD: 0000-0002-5456-7649

Researcher, Laboratory of Molecular Methods for Studying of Genetic Polymorphisms

Russian Federation, Moscow

Stanislav N. Kuzin

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: kuzin@cmd.su
ORCID iD: 0000-0002-0616-9777

Professor, MD, Head, Laboratory of Viral Hepatitis

Russian Federation, Moscow

Svetlana V. Ugleva

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: ugleva@cmd.su
ORCID iD: 0000-0002-1322-0155

MD, Associate Professor, Head, Scientific and Analytical Department

Russian Federation, Moscow

Evgeniy M. Voronin

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: voronin@cmd.su
ORCID iD: 0000-0001-5925-7757

Cand. Med. Sci., Head, Scientific Group of Mathematical Methods and Epidemiological Forecasting

Russian Federation, Moscow

Andrey N. Gerasimov

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: gerasimov.a@cmd.su
ORCID iD: 0000-0003-4549-7172

Professor, Cand. Phys. and Math. Sci, Lead Researcher, Scientific Group of Mathematical Methods and Epidemiological Forecasting

Russian Federation, Moscow

Anna S. Cherkashina

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: cherkashina@pcr.ms
ORCID iD: 0000-0001-7970-7495

Cand. Chem. Sci., Director, Scientific Group of Genetic Engineering and Biotechnology

Russian Federation, Moscow

Kamil F. Khafizov

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: khafizov@cmd.su
ORCID iD: 0000-0001-5524-0296

Cand. Biol. Sci., Head, Laboratory of Genomic Studies

Russian Federation, Moscow

Natalia V. Sycheva

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: sycheva.n@cmd.su
ORCID iD: 0000-0001-8557-6540

Junior Researcher, Laboratory of Infections Associated with the Provision of Medical Care

Russian Federation, Moscow

Marina I. Korabelnikova

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: korabelnikova@cmd.su
ORCID iD: 0000-0002-2575-8569

Researcher, Laboratory of Viral Hepatitis

Russian Federation, Moscow

Angelina A. Monakhova

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: monaxova.angelina@mail.ru
ORCID iD: 0009-0000-9950-2649

Postgraduate Student

Russian Federation, Moscow

Roman M. Beregovykh

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

Email: beregovykh@cmd.su
ORCID iD: 0009-0000-3956-2148

Specialist in Data Analysis and Processing

Russian Federation, Moscow

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2. Fig. 1. Distribution of intensive incidence rates and IP1 values among the constituent entities of the Russian Federation in 2022-2023

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3. Fig. 2. Distribution of subjects by IP2 value in 2022-2023

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4. Fig. 3. Dynamics of incidence rates and IP2 value in Moscow in 2022-2023

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