Determinants of manifestations of the epidemic process of epidemic hemorrhagic fever in Primorsky Krai

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Abstract

BACKGROUND: The contribution of random and regular factors in the process of epidemic hemorrhagic fever is unknown, which necessitates the search for the reasons for the formation of severe and fatal cases.

AIM: Based on the incidence of epidemic hemorrhagic fever in Primorsky Krai over a long period, we aimed to establish the role of the main determinants of the epidemic process and to demonstrate the causality of local manifestations in epidemic foci in patients with epidemic hemorrhagic fever.

MATERIALS AND METHODS: In this comprehensive descriptive epidemiological and clinical study, we undertook the epidemiological analysis of the incidence of epidemic hemorrhagic fever and data from examinations of the foci of infection. We performed a clinical observation (case study) of a case of epidemic hemorrhagic fever with a fatal outcome at the Regional Clinical Infectious Diseases Hospital in March 2022. The object of the study is statistical data on officially registered cases of epidemic hemorrhagic fever in Primorsky Krai from 1995 to 2021.

RESULTS: The proportion of random factors in the epidemic process of epidemic hemorrhagic fever in the period under review was 28.7% of the incidence, which formed deviations from the typical curve, but did not participate in the formation of cyclicity in the long-term dynamics. Variable factors that formed cyclicity and random deviations together determined 53.4% of the incidence. They were fully related to seasonal morbidity (67.8%). Moreover, the remaining 14.4% of seasonality was formed by constant factors for each month. Factors constant for all months of the year form a year-round form, that is, 32.2% of the incidence.

In the clinical and epidemiological observation of a lethal case of epidemic hemorrhagic fever, infection was noted under conditions of dust formation, such as when restoring order in a closed room at a negative temperature (sweeping) and high titers of specific antibodies resulting from repeated encounters with the pathogen in residential and occupational types of morbidity and the accompanying illnesses.

CONCLUSIONS: The study of the incidence of epidemic hemorrhagic fever demonstrated a high resolution of epidemiological analysis by using a binary method in zoonoses. The patterns and features of human morbidity were controlled by natural and social factors more strictly than by biological ones. The determinants of the socio-ecological system in epidemic hemorrhagic fever in Primorsky Krai make it possible to specify the tactics and strategy for the implementation of epidemiological surveillance.

About the authors

Sergey L. Kolpakov

Pacific State Medical University

Author for correspondence.
Email: kolpakovsl@mail.ru
ORCID iD: 0000-0001-9495-6190
SPIN-code: 5754-3010

MD, Cand. Sci. (Med.), Assistant Professor

Russian Federation, 2 Ostryakova Prospekt, 690002 Vladivostok

Alexander F. Popov

Pacific State Medical University; Far Eastern Federal University, School of medicine; State scientific-research test Institute of military medicine of Defense, Far Eastern Branch

Email: doctor.popov@mail.ru
ORCID iD: 0000-0002-5166-5569
SPIN-code: 7009-6265

MD, Dr. Sci. (Med.), Professor

Russian Federation, 2 Ostryakova Prospekt, 690002 Vladivostok; Vladivostok; Vladivostok

Elena V. Zagney

Department of Rospotrebnadzor in Primorsky Krai

Email: epid_rpn_pk@pkrpn.ru
ORCID iD: 0009-0004-2669-5944
Russian Federation, Vladivostok

Marina V. Makovkina

Regional Clinical Infectious Diseases Hospital

Email: makovkinamv2006@rambler.ru
ORCID iD: 0009-0008-7120-1295

infectious diseases doctor

Russian Federation, Vladivostok

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Long-term dynamics of the incidence of hemorrhagic fever with renal syndrome in Primorsky Krai from 1995 to 2021 (on the "X" axis ― years, on the "Y" axis ― incidence per 100,000 population; Ifactual ― actual incidence; trend ― trend line; Ibasic ― baseline incidence).

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3. Fig. 2. A typical curve of the annual dynamics of the incidence of hemorrhagic fever with renal syndrome from 2011 to 2021 (on the "X" axis ― the months from April to March, on the "Y" axis ― the incidence per 100,000 population).

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4. Fig. 3. Territorial distribution of the average annual number of cases of hemorrhagic fever with renal syndrome by cities and administrative territories of Primorsky Krai; data for 2017–2021 (total deaths).

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