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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">myrwd</journal-id><journal-title-group><journal-title xml:lang="en">Real-World Data &amp; Evidence</journal-title><trans-title-group xml:lang="ru"><trans-title>Реальная клиническая практика: данные и доказательства</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2782-3784</issn><publisher><publisher-name>Publishing House OKI</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.37489/2782-3784-myrwd-105</article-id><article-id custom-type="edn" pub-id-type="custom">YXMDHX</article-id><article-id custom-type="elpub" pub-id-type="custom">myrwd-144</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>HEALTH TECHNOLOGY ASSESSMENT</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОЦЕНКА ТЕХНОЛОГИЙ ЗДРАВООХРАНЕНИЯ</subject></subj-group></article-categories><title-group><article-title>Economic aspects of respiratory syncytial viral infection in children first years of life based on real data</article-title><trans-title-group xml:lang="ru"><trans-title>Экономические аспекты респираторно-синцитиальной вирусной инфекции у детей первых лет жизни на основе реальных данных</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1919-2909</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Колбин</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Kolbin</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Колбин Алексей Сергеевич - д. м. н., профессор, зав. кафедрой клинической фармакологии и доказательной медицины; профессор кафедры фармакологии медицинского факультета </p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Alexey S. Kolbin — Dr. Sci. (Med.), Professor,Head of the Department of Clinical Pharmacologyand Evidence-Based Medicine ; professor of the Department of Pharmacology, Medical Faculty</p><p>St. Petersburg</p></bio><email xlink:type="simple">lex.kolbin@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3643-7354</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лиознов</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Lioznov</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лиознов Дмитрий Анатольевич - д. м. н., профессор, зав. кафедрой инфекционных болезней и эпидемиологии; директор</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Dmitry A. Lioznov - Dr. Sci. (Med.), Professor, Head of the Department of Infectious Diseases and epidemiology; Director </p><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6284-7133</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Касимова</surname><given-names>А. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Kasimova</surname><given-names>A. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Касимова Алина Рашидовна - к. м. н., доцент кафедры клинической фармакологии и доказательной медицины; врач-клинический фармаколог </p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Alina R. Kasimova - MD, PhD, associate professor of the Department of Clinical Pharmacology and Evidence-Based Medicine; Clinical pharmacologist</p><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6174-0836</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Даниленко</surname><given-names>Д. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Danilenko</surname><given-names>D. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Даниленко Дарья Михайловна - к. б. н., зам. директора по научной работе</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Daria M. Danilenko - Cand. Sci. (Biol.), Deputy Director </p><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1765-2799</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Столяров</surname><given-names>К. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Stolyarov</surname><given-names>K. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Столяров Кирилл Александрович - ведущий программист</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Kirill A. Stolyarov - IT lead</p><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-5"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2143-0440</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Балыкина</surname><given-names>Ю. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Balykina</surname><given-names>Yu. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Балыкина Юлия Ефимовна - к. ф-м. н., кафедра процессов управления, факультет прикладной математики</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Julia E. Balykina - Cand. Sci. (Phys. and Math.), Department of control processes, faculty of applied mathematics</p><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-6"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9468-0953</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Проскурин</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Proskurin</surname><given-names>M. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Проскурин Максим Александрович - ассистент кафедры математического моделирования энергетических систем, факультет прикладной математики-процессов управления</p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Maksim A. Proskurin - assistant of the Department of mathematical modeling of energy systems, faculty of applied mathematics and control processes</p><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-6"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО «Первый Санкт-Петербургский государственный медицинский университет им. акад. И. П. Павлова»; ФГБОУ ВО «Санкт-Петербургский государственный университет»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>First State Medical University named after academician I. P. Pavlov; St. Petersburg State University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГБОУ ВО «Первый Санкт-Петербургский государственный медицинский университет им. акад. И. П. Павлова»; ФГБУ «НИИ гриппа им. А. А. Смородинцева»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>First State Medical University named after academician I. P. Pavlov</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>ФГБОУ ВО «Первый Санкт-Петербургский государственный медицинский университет им. акад. И. П. Павлова»; ФГБУ «Национальный медицинский исследовательский центр травматологии и ортопедии им. Р. Р. Вредена»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>First State Medical University named after academician I. P. Pavlov; National Medical Research Center of Traumatology and Orthopedists named after RR Vreden</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>ФГБУ «НИИ гриппа им. А. А. Смородинцева</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Institute of Influenza named after AA Smorodintsev</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-5"><aff xml:lang="ru"><institution>ФГБУ «НИИ гриппа им. А. А. Смородинцева»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Institute of Influenza named after AA Smorodintsev</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-6"><aff xml:lang="ru"><institution>ФГБОУ ВО «Санкт-Петербургский государственный университет»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>St. Petersburg State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>30</day><month>06</month><year>2026</year></pub-date><volume>6</volume><issue>2</issue><fpage>68</fpage><lpage>80</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Kolbin A.S., Lioznov D.A., Kasimova A.R., Danilenko D.M., Stolyarov K.A., Balykina Y.A., Proskurin M.A., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Колбин А.С., Лиознов Д.А., Касимова А.Р., Даниленко Д.М., Столяров К.А., Балыкина Ю.Е., Проскурин М.А.</copyright-holder><copyright-holder xml:lang="en">Kolbin A.S., Lioznov D.A., Kasimova A.R., Danilenko D.M., Stolyarov K.A., Balykina Y.A., Proskurin M.A.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.myrwd.ru/jour/article/view/144">https://www.myrwd.ru/jour/article/view/144</self-uri><abstract><sec><title>Actuality</title><p>Actuality. Respiratory syncytial viral (RSV) is a most common reason for acute respiratory infections in infants and children. Prevalence of non-severe RSV infection forms in kids does not mean absent it's influence for country economics and society at all. Severe cases of RSV infections could require hospitalization, that increases budget impact.</p></sec><sec><title>Objective</title><p>Objective. Social-economic burden of RSV infection evaluation in children first two years of life in Russian Federation basing on real data of epidemiologic monitoring, experts’ opinion for patients’ separation in depends on severity of illness and modelling of expenditures.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. Data of non-personal base of traditional flu and acute respiratory infections laboratory monitoring of National institute of flu named after Smorodintsev (seasons 2022–2023, 2023–2024, 2024–2025 yy) were included into retrospective analysis for burden modelling for 1 year (season). Extrapolation of monitoring results of proven laboratory indicators of RSV infection prevalence in cities of detection (minimum 5,8 %, maximum 12,3 % out of prevalence of acute respiratory viral infections), were made on all kids 0–2 y. o. population in the country. Minimal calculated amount of RSV infection was 245 723, maximal 521 101 per season. Four models of patients based on illness severity and necessity in hospitalization, including ICU, complications have been defined by medical experts. Direct medical (ambulance, outand in-patient treatment) indirect medical (cost of parental seek live) as well as indirect costs (GDP loss in case of parental seek live and cost of life years loss due to premature death of child) were calculated. Horizon of analysis one epidemic season, and long-term economic consequences in case of death during hospitalization (discount rate 3.5 %).</p></sec><sec><title>Results</title><p>Results. Total direct medical expenditures in hospitals can reach 12.9 bln RUR, and for out-patient treatment 1.01 bln RUR annually (season) of RSV infection. Direct non-medical expenditures were calculated as 9.6 bln RUR, and GDP loss due to parental seek live no less than 7.7 bln RUR. Total common expenditures were reached in 32 bln RUR. If we can calculate burden of RSV infection in case of premature death in severe illness total budget loss could reach 3.31 trillion RUR (minimal) or 7.01 trillion RUR (maximal). Sensitivity analysis confirmed stability of model to prevalence RSV infection parameter changing.</p></sec><sec><title>Conclusion</title><p>Conclusion. Social-economic burden of RSV infection in children 0–2 y. o. has a huge size and has progressive dynamic in case of prevalence increasing. Healthcare costs, economic and social losses dictate the need to improve prevention measures in the most vulnerable age group children aged 0–2 years.</p></sec></abstract><trans-abstract xml:lang="ru"><sec><title>Актуальность</title><p>Актуальность. Респираторно-синцитиальный вирус (РСВ) идентифицирован как наиболее распространённая причина острых вирусных инфекций дыхательных путей у младенцев и детей. Сама РСВ-инфекция в большинстве случаев протекает в лёгкой или среднетяжёлых формах, не требующих госпитализации. Преобладание нетяжёлых форм РСВ-инфекции у детей не означает отсутствие последствий заболевания для экономики страны и общества в целом. При тяжёлых формах заболевания может потребоваться госпитализация, что существенно увеличивает нагрузку на бюджет.</p></sec><sec><title>Цель </title><p>Цель . Оценка социально-экономического бремени РСВ-инфекции у детей первых двух лет жизни в Российской Федерации на основе комбинации реальных данных эпидемиологического надзора, экспертного распределения пациентов по тяжести течения заболевания и моделирования затрат.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В ретроспективное исследование для моделирования бремени за 1 год (один сезон) включены данные обезличенной базы традиционного лабораторного надзора за гриппом и ОРВИ ФГБУ «НИИ гриппа им. А. А. Смородинцева» в сезоны 2022–2023, 2023–2024 и 2024–2025 гг. На основании подтвержденных лабораторно показателей заболеваемости РСВИ в городах России, находящихся под непрерывным многолетним мониторингом (минимально 5,8 % максимально 12,3 % в структуре ОРВИ), проведена экстраполяция на всех детей 0–2-летнего возраста в стране. Минимальное расчётное число случаев РСВИ в сезон 245 723, максимальное 521 101. Эксперты выделили 4 модели пациентов на основании тяжести течения, необходимости в госпитализации, в том числе в отделение реанимации, осложнений заболевания. Проведена оценка прямых медицинских (скорая помощь, стационарное и амбулаторное лечение, лекарственная терапия), прямых немедицинских (выплаты по временной нетрудоспособности родителю по уходу за больным ребёнком) и непрямых затрат (недополученный ВВП в связи с уходом родителя за ребёнком, а также стоимость потерянных лет жизни при летальном исходе у ребёнка). Горизонт анализа один эпидемический сезон с учётом отдалённых экономических последствий при смертельном исходе в процессе госпитализации (дисконтирование 3,5 %).</p></sec><sec><title>Результаты</title><p>Результаты. Суммарные прямые медицинские затраты на лечение в условиях стационара могут достигать 12,9 млрд. руб., а в амбулаторных условиях 1,01 млрд. руб. в год (сезон) в результате РСВ-инфекции у детей 0–2 летнего возраста. Прямые немедицинские затраты рассчитаны как 9,6 млрд руб., а недополученный вследствие ухода за ребёнком ВВП не менее, чем 7,7 млрд. руб. Итого общие затраты оценены в сумму более 32 млрд. руб. При определении социально-экономического бремени РСВИ с учётом расходов на один сезон и стоимости непрожитых лет жизни общие потери как бюджета, так и общества могут составить 3,31 трлн. руб. (минимально) или 7,01 трлн. руб. (максимально). Анализ чувствительности подтвердил устойчивость модели к изменению параметра заболеваемости.</p></sec><sec><title>Заключение</title><p>Заключение. Социально-экономическое бремя РСВ-инфекции у детей 0–2 лет достигает существенных размеров и характеризуется прогрессивным ростом при увеличении заболеваемости. Расходы здравоохранения, потери в экономике и социальной сфере диктуют необходимость совершенствования мер профилактики у наиболее уязвимой возрастной группы детей 0–2 лет жизни.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>респираторно-синцитиальная вирусная инфекция</kwd><kwd>дети раннего возраста</kwd><kwd>стоимость болезни</kwd><kwd>реальные данные</kwd><kwd>моделирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>respiratory syncytial viral infection in children</kwd><kwd>cost of illness</kwd><kwd>real-world data</kwd><kwd>modelling</kwd></kwd-group></article-meta></front><body><p>Introduction</p><p>Acute respiratory infections (ARIs) are the most common human diseases, with children being particularly vulnerable. The incidence of ARIs in the paediatric population is on average 2–3 times higher than in adults [1–2]. Respiratory syncytial virus (RSV) has been identified as the most common cause of acute viral respiratory infections in infants and children [1–5]. Worldwide, 33 million cases of RSV infection are recorded annually in children under 5 years of age, leading to 3.6 million hospitalisations and 118,200 deaths [<xref ref-type="bibr" rid="cit6">6</xref>]. Among preterm infants, the RSV‑associated hospitalisation rate is significantly higher – 1.69 to 3.87 times than in full‑term infants [<xref ref-type="bibr" rid="cit7">7</xref>]. Short‑lived post‑infection immunity and the existence of multiple viral genotypes determine a high probability of reinfection [8–10].</p><p>Notably, the majority of ARIs are mild or moderate and do not require hospitalisation. Due to insufficient laboratory verification of aetiology at the outpatient level, most cases of RSV infection in children and adults are not captured in official statistics. The predominance of non‑severe forms does not mean the absence of economic and societal consequences. Incomplete official statistics significantly affect the calculation of the economic burden of RSV infection, necessitating modelling. At the same time, data on more than 3 million hospitalisations and at least 100,000 deaths of children under 5 years of age annually worldwide from RSV infection and its complications allow considering this disease as socially significant and economically costly, both in the short and long term [<xref ref-type="bibr" rid="cit11">11</xref>]. Even relatively mild cases in children during the first two years of life can lead to bacterial complications such as bronchitis, pneumonia, acute otitis media, and may contribute to the development of bronchial asthma, requiring additional treatment costs.</p><p>An assessment of the economic burden of RSV infection in our country was conducted relatively recently [<xref ref-type="bibr" rid="cit12">12</xref>]. Using modelling, it was found that the average medical costs per case of RSV infection with lower respiratory tract involvement were RUB 7,315 for children under 1 year of age, RUB 5,369 for children aged 1 to 2 years, and RUB 4,530 for children aged 2–5 years. Higher costs in children under 1 year of age are due to a higher estimated hospitalisation rate, with average costs ranging from RUB 34,239 to RUB 46,219. Overall, the economic burden attributed to RSV infection was estimated by the authors at RUB 12.23 billion, of which medical costs accounted for RUB 2.27 billion (18.5%). That study was largely based on assumptions and scientific premises, including, as the authors themselves emphasise, data from foreign meta‑analyses. Without diminishing the importance of the aforementioned study, we believe that the key unresolved issues requiring clarification and development are: assessment of the burden of RSV infection in children aged 0–2 years, as the most vulnerable group, based on real clinical and epidemiological data, and refinement of indirect societal costs due to child mortality from RSV infection.</p><p>Long‑term, up‑to‑date anonymised monitoring data on RSV infection conducted by the Smorodintsev Research Institute of Influenza of the Ministry of Health of Russia allow calculating the socio‑economic burden of this disease in the population of children aged 0–2 years in Russia, which was the aim of this study.</p><p>Materials and Methods</p><p>The estimation of the number of RSV infection cases in children aged 0–2 years in 2022–2025 was based on an analysis of the anonymised database of laboratory‑confirmed monitoring data from the Smorodintsev Research Institute of Influenza. Information on influenza and ARVI cases was obtained by the Institute from 18 sentinel cities in the 2022–2023 season, 21 cities in 2023–2024, and 34 cities in 2024–2025. The highest proportion of RSV infection (12.3%) in the ARVI structure was recorded in the 2022–2023 season, and the lowest (5.8%) in 2024–2025.</p><p>For extrapolation to determine the number of cases in this age cohort across the entire country, a specific correction factor was introduced, calculated as follows:</p><p>CF = 1 / (population aged 0–2 years in the monitoring cities / population aged 0–2 years in the Russian Federation), where</p><p>CF – correction factor;population aged 0–2 years in the cities under monitoring by the Smorodintsev Research Institute of Influenza – 1,491,711 persons;population aged 0–2 years in the Russian Federation in 2024 – 3,955,095 persons&lt;sup&gt;1&lt;/sup&gt;.</p><p>The correction factor thus calculated is 2.65. Its application is as follows: based on the monitoring data of the Smorodintsev Research Institute of Influenza in the 2024–2025 season, in 34 cities of the country, 1,597,882 cases of ARVI were recorded in children aged 0–2 years. Following the logic of minimum‑maximum RSV incidence in this patient group, and taking into account the above data, it is possible to calculate the number of cases at the national level. To do this, the number of cases in the monitoring cities is multiplied by the correction factor (a scientific assumption based on real laboratory‑confirmed data). The minimum number of cases calculated in this way was: 1,597,882 ARVI cases × 5.8% RSV cases × 2.65 = 245,723 RSV cases in the country. The maximum calculated similarly was: 1,597,882 × 12.3% × 2.65 = 521,101 RSV cases (Table 1). Also, according to aggregated data from the Smorodintsev Research Institute of Influenza, 83.8% of children received outpatient medical care, while the remaining 16.2% were hospitalised, some of whom were admitted to the intensive care unit.</p><p>Table 1. Incidence of RSV infection</p><p>ParameterMinimumMaximumSourceNumber of children aged 0–2 years in the Russian Federation3,955,0953,955,095RosstatNumber of children aged 0–2 years in monitoring cities1,491,7111,491,711Own data of the Smorodintsev Research Institute of InfluenzaNumber of ARVI cases in children aged 0–2 years in monitoring cities, 20241,597,8821,597,882Own data of the Smorodintsev Research Institute of InfluenzaRSV infection in children aged 0–2 years in the Russian Federation245,723521,101Calculated dataOf which hospitalised (rate 16.2%)39,80784,418Calculated dataOf which treated outpatient (rate 83.8%)205,916436,683Calculated data</p><p>We divided clinical cases of RSV infection into 4 groups (patient models) according to the nature of the disease course:</p><p>Outpatients were distributed between Models 1 and 2 in a 50:50 ratio (assumption). Hospitalised patients, based on the Smorodintsev Research Institute of Influenza data, were distributed between Models 3 and 4 in a ratio of 72.7% and 27.3%, respectively. For Models 1–2, the total minimum calculated number was 205,916 cases, and the maximum – 436,683. For Model 3 – minimum 28,940 cases, maximum 61,372. For Model 4 – 10,867 and 23,046 cases, respectively.</p><p>The cost‑of‑illness calculation was performed for one season; for the assessment of long‑term consequences of RSV infection, modelling was carried out over the entire expected life expectancy. Direct medical costs (emergency medical services, inpatient and outpatient treatment) and non‑medical costs (temporary disability benefits to parents caring for a sick child) were considered, as well as indirect costs (loss of gross domestic product (GDP) due to one parent's absence from work to care for a sick child).</p><p>The cost of drugs included in the list of vital and essential medicines (VED) was calculated based on the registered maximum ex‑factory price&lt;sup&gt;2&lt;/sup&gt; including VAT and wholesale mark‑ups; for drugs not included in the VED list, data from the PharmIndex portal were used.</p><p>Outpatient medical care costs were determined by the duration of the disease and the necessary number of clinic visits, and are presented according to the tariffs of the Compulsory Health Insurance Fund (CHI) for St. Petersburg [<xref ref-type="bibr" rid="cit13">13</xref>]. The cost of an emergency medical service call was set at RUB 6,119.90. Inpatient medical care costs in Models 3 and 4 were determined considering disease severity and the need for ICU stay. Inpatient costs were also assessed according to St. Petersburg tariffs [<xref ref-type="bibr" rid="cit13">13</xref>].</p><p>When assessing direct non‑medical costs (temporary disability payments to one parent caring for a sick child), it was taken into account that the average daily benefit in 2025 was RUB 3,205.86, and the proportion of parents who were employed was estimated at 80%.</p><p>Additionally, lost GDP (indirect costs or productivity losses) due to parental care for a child was calculated. GDP per capita in 2024 was RUB 2,571.71 per day.</p><p>When assessing long‑term consequences in case of death from RSV infection, we estimated not only the economic losses, which include lost GDP over the un‑lived years horizon, but also the value of those years themselves, i.e., actual and potential losses. They were calculated using the formula:</p><p>VLY = VSLY × (LE – A), where</p><p>VLY – value of lost years due to child death in a given year;VSLY – value of a statistical life‑year in a given year;LE – life expectancy;A – age at death (for ages 0–2 years, it was taken as an average of 1 year).</p><p>The value of an un‑lived life‑year was set at RUB 513,000 [<xref ref-type="bibr" rid="cit14">14</xref>]. Life expectancy in Russia in 2025 was 73.4 years. According to Rosstat data for 2024, the probability of expected employment in the respective age groups averaged 32 years. Discounting of the value of lost life‑years and GDP in case of child death from RSV infection was performed at a rate of 3.5%.</p><p>For Models 1–2, care for RSV patients is provided by a district paediatrician; in case of certain bacterial complications, an otorhinolaryngologist (ENT) and a pulmonologist are involved.</p><p>Within Model 1, it was assumed that a child receives care at home once (cost RUB 1,039.6) and visits the clinic twice (RUB 955.3 × 2) during the illness period. For calculating medical care costs, current tariffs were used [<xref ref-type="bibr" rid="cit13">13</xref>]. The duration of uncomplicated RSV infection is 10 days. In mild cases, therapy follows general principles – normalisation of body temperature, use of antitussives for severe cough, and decongestants to facilitate nasal breathing; total drug costs amount to RUB 2,735. Based on these data, total direct medical costs per child are RUB 5,686. Non‑medical costs (benefits for child care) amount to RUB 25,647, and GDP loss due to parental care – RUB 20,547.</p><p>For Model 2, we included two home visits by a paediatrician and three clinic visits, plus consultations with an ENT specialist and a pulmonologist (costs RUB 669.1 and RUB 661.0 respectively). Disease duration 15–18 days, drug therapy costs higher than in Model 1 due to additional medications for cough, rhinorrhoea, and considering the proportion of patients with prolonged illness due to complications (e.g., otitis). Total drug costs estimated at RUB 3,288, and total direct medical costs RUB 9,563 per patient. Parental benefit for sick leave is RUB 39,240, GDP loss – RUB 31,478.</p><p>Direct costs for Model 3 were determined based on prior outpatient treatment followed by hospitalisation with (25%) or without (75%) community‑acquired pneumonia (duration 14 or 7 days respectively (Table 2)). It is accounted that the patient is transported to the hospital by an emergency team. Thus, total direct medical costs per patient are estimated at RUB 131,661, non‑medical costs – RUB 61,681, indirect costs – RUB 49,480.</p><p>Table 2. Direct medical costs during hospitalisation for RSV infection [<xref ref-type="bibr" rid="cit13">13</xref>]</p><p>Tariff code descriptionTariff, RUBBed‑daysModels 3 and 4: Influenza, ARVI80,093.007Models 3 and 4: Community‑acquired pneumonia (under 3 years)159,051.2014Model 4: Severe sepsis (SOFA &lt;4) for ICU599,135.0015Model 4: Severe sepsis (SOFA ≥4) for ICU1,339,574.4030</p><p>For Model 4, all costs as for Model 3 (emergency medical care, inpatient treatment, and outpatient care for 10 days after discharge) were included, plus the costs of ICU stay (Table 2). When estimating ICU costs, we considered the probability that in 80% of cases care is provided under the tariff "Severe sepsis (SOFA &lt;4) for ICU", and in the remainder – under "Severe sepsis (SOFA ≥4) for ICU". Non‑medical costs amounted to RUB 107,845, taking into account the proportion of patients with prolonged illness due to various complications (10%) as in Model 2, the proportion of patients developing pneumonia (25%) requiring longer hospitalisation (14 days) as in Model 3, and varying ICU stay duration (15 days in 80% and 30 days in 20%). Indirect costs were RUB 86,512.</p><p>Reliability of results across all models was assessed by sensitivity analysis on the main parameter – population size. Thus, the study was a cost modelling exercise based on the population size derived from baseline real clinical and epidemiological monitoring data from the Smorodintsev Research Institute of Influenza. The burden of RSV infection was calculated from the perspective of the state and society.</p><p>Results</p><p>Figures 1–3 and Table 3 present the obtained results.</p><p>When estimating costs per RSV patient over one season, the following values were obtained: total direct and indirect costs (including non‑medical) naturally increased from Model 1 to Model 4, amounting to RUB 51.9 thousand, RUB 80.3 thousand, RUB 242.8 thousand, and RUB 1.07 million, respectively.</p><p>Separately, indirect losses associated with fatal outcomes from RSV infection were considered, namely the value of un‑lived life‑years. It was assumed that such an outcome is applicable only in Models 3 and 4. For the entire target population, these losses for Models 3 and 4 were RUB 2.3 trillion and RUB 894.1 billion, respectively, over the lifetime.</p><p>Figure 1A. Total expenditures per RSV patient aged 0–2 years per season depending on disease severity</p><p>Figure 1B. Structure of total expenditures for one RSV patient by Model</p><p>Figure 2. Total expenditures for the target paediatric population during one season for the minimum estimated number of RSV cases (without long‑term consequences)</p><p>Table 3. Total costs for the target paediatric population</p><p>Cost categoryDefinitionModel 1 (102,958 RSV cases)Model 2 (102,958 RSV cases)Model 3 (28,940 RSV cases)Model 4 (10,867 RSV cases)Total for populationDirect medical costsEmergency medical services, RUB--177,109,90666,504,953243,614,859 Inpatient RSV treatment, RUB--3,468,626,8529,422,544,01612,891,170,868 Outpatient RSV treatment, RUB303,746,692646,082,04285,378,78832,059,8231,067,267,345 Outpatient drug therapy, RUB281,651,476338,495,66079,168,14329,727,720729,042,999Direct non‑medical costsChildcare benefit payments, RUB2,640,553,9534,040,047,5491,785,042,4791,171,954,1349,637,598,115Indirect costsLost GDP, RUB2,118,224,9453,240,884,1671,431,942,530940,129,4297,731,181,071Total for population per 1 season 5,344,177,0668,265,509,4177,027,268,69811,662,920,07532,299,875,256Long‑term consequencesValue of lost un‑lived years, RUB--2,381,226,209,644894,152,910,1663,275,379,119,810Total for population per 1 season + long‑term consequences (value of lost un‑lived years) 5,344,177,0668,265,509,4172,388,253,478,342905,815,830,2413,307,678,995,066</p><p>Notes: RSV – respiratory syncytial virus.</p><p>Figure 3A. Weighted average costs for RSV treatment per target population without the value of lost life‑years</p><p>Figure 3B. Total costs for the population by severity of RSV without the value of lost life‑years</p><p>Thus, for a patient population of 245,723, the total costs (including long‑term consequences) amounted to RUB 3.3 trillion. Direct medical costs accounted for RUB 14,931,096,071, or 46.2% of the treatment period costs without long‑term consequences. The largest share of direct medical costs was inpatient care – RUB 12,891,170,868. Relative to the total economic burden, direct medical costs constituted 0.45%. The vast majority of total costs were attributable to long‑term consequences – the value of lost (un‑lived) life‑years, which amounted to RUB 3,275,379,119,810, or 99% of the total economic burden. Similarly, the socio‑economic burden of RSV infection at the maximum estimated seasonal incidence (521,102 cases) amounted to RUB 7.014 trillion.</p><p>Figure 4 shows the results of the sensitivity analysis when varying the number of RSV cases.</p><p>Figure 4. Cost dynamics with changes in RSV case numbers (sensitivity analysis)</p><p>The sensitivity analysis results showed that when the key parameter (population size) deviated, the cost difference between the minimum and maximum incidence scenarios remained positive, confirming the robustness of the model.</p><p>Discussion</p><p>We have for the first time calculated the economic burden of RSV infection in children aged 0–2 years for the Russian Federation, based on a combination of real‑world surveillance data, expert opinion on four severity levels, and modelling. The results convincingly demonstrate the socio‑economic burden on society associated with RSV infection and the possible underestimation of its consequences for the state. It should be noted that both direct medical and non‑medical costs, as well as indirect costs, were accounted for over the horizon of one epidemic season, with the maximum possible stratification of patient groups by severity based on clinical expert assessment. Separately, the cost of lost life‑years in case of fatal outcome during severe RSV infection was estimated.</p><p>At the outpatient stage, costs per child may seem relatively low – RUB 51,906 per patient without complications and RUB 80,280 with complications (total). However, given the potential number of cases, they translate into significant public health expenditures. In moderate and severe cases, the largest share of direct medical costs is inpatient care.</p><p>Differences in burden estimates by different authors highlight the complexity of such calculations for acute seasonal diseases. Furthermore, estimates are influenced by case‑fatality rates and long‑term consequences of infection, including treatment of potentially triggered diseases such as bronchial asthma, for which RSV infection may act as a trigger.</p><p>Conclusion</p><p>Respiratory syncytial viral infection in children aged 0–2 years is characterised by a substantial socio‑economic burden for society and the state. The costs per case are determined by the severity and management strategy (outpatient, inpatient with or without ICU admission).</p><p>An increase in the number of RSV cases leads to a proportional increase in all components of the burden – direct medical and non‑medical expenditures, indirect costs, and, to a large extent, the value of lost life‑years.</p><p>The total socio‑economic burden of RSV infection in children aged 0–2 years (including the value of lost life‑years) is estimated at between RUB 3.31 trillion and RUB 7.01 trillion.</p><p>Reducing the socio‑economic burden is possible through preventive measures targeting both the disease itself and its complications, including immunisation. 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