Calculation of epidemic thresholds for incidence of community-acquired pneumonia
https://doi.org/10.23946/2500-0764-2022-7-2-45-55
Abstract
Aim. To calculate epidemic incidence thresholds for community-acquired pneumonia in the Irkutsk Region and to identify irregularities in the annual incidence trends.
Materials and Methods. We carried out a cross-sectional epidemiological study evaluating the relevant data from the Irkutsk Region during 2013-2020. To calculate the epidemic thresholds, we used weekly information for 2013-2018 about newly diagnosed cases of community-acquired pneumonia. Similar data for 2019 and 2020 were used for retrospective comparison with the calculated thresholds.
Results. Computation of the community-acquired pneumonia epidemic incidence thresholds is based on the weekly and 4-week calculation of the median and quartiles (Q1 ; Q3 ), which is conducted differentially for the total population, children (≤ 17 years of age), working adults (18-64 years of age) and pensioners (≥ 65 years of age) per 100,000 population. When compared with the upper epidemic threshold (Q3 ), seasonal changes in the incidence of community-acquired pneumonia have been revealed in 2019 and 2020; they were associated with the spread of infuenza, COVID-19, and an epidemic of unknown origin which was observed mostly among children.
Conclusion. Calculation of epidemic thresholds for the incidence of community-acquired pneumonia can be used in epidemiological surveillance.
About the Authors
A. D. BotvinkinRussian Federation
Dr. Alexander D. Botvinkin, MD, DSc, Head of Department of Epidemiology
1, Krasny Vosstaniya Street, Irkutsk, 664003
N. A. Kravchenko
Russian Federation
Dr. Natalia А. Kravchenko, MD, Assistant Professor, Department of Epidemiology
1, Krasny Vosstaniya Street, Irkutsk, 664003
T. A. Bayanova
Russian Federation
Dr. Tatiana A. Bayanova, MD, PhD, Associate Professor, Department of Epidemiology
1, Krasny Vosstaniya Street, Irkutsk, 664003
M. I. Khakimova
Russian Federation
Dr. Maryana I. Khakimova, MD, Head of the Department of Epidemiology
51, Trilissera Street, Irkutsk, 664047
T. A. Gavrilova
Russian Federation
Dr. Tatiana A. Gavrilova, MD, Deputy Head of the Department of Epidemiology
29, Karl Marx Street, Irkutsk, 664003
N. A. Likhanova
Russian Federation
Dr. Nadezhda A. Likhanova, MD, Head of the Department of Epidemiological Surveillance
4, Karl Marx Street, Irkutsk, 664003
References
1. Popova AYu, Yezhlova EB, Demina YuV, Omariyev ZM. Epidemiology and prevention of community-acquired pneumonia. Infectious Diseases. News, Opinions, Trainings. 2019; (2(29)):43. (In Russ). https://doi.org/10.24411/2305-3496-2019-12005
2. O sostoyanii sanitarno-epidemiologicheskogo blagopoluchiya naseleniya v Rossiyskoy Federatsii v 2020 godu: Gosudarstvennyy doklad. Moscow: Federal'naya sluzhba po nadzoru v sfere zashchity prav potrebiteley i blagopoluchiya cheloveka, 2021. (In Russ). Available in: https://rospotrebnadzor.ru/documents/details.php?ELEMENT_ID=18266 Accessed: 16 March, 2022.
3. Bilichenko TN, Chuchalin AG. Morbidity and mortality of the Russian population from acute respiratory viral infections, pneumonia and vaccination. Terapevticheskii Arkhiv. 2018;90(1):22-28. (In Russ). https://doi.org/10.26442/terarkh201890122-26
4. Gruzdeva OA, Bilichenko TN, Vorontsova VA, Uvarova A.V. Morbidity of infuenza, other acute respiratory viral infections and pneumonia in population of the central district of Moscow, 2012 - 2016, and vaccine prevention. Pulmonology. 2017;27(6):732-739. (In Russ). https://doi.org/10.18093/0869-0189-2017-27-6-732-739
5. Danilenko DM, Sominina AA, Komissarov AB, Pisareva MM, Stolyarov KA, Musayeva TD, Yeder V, Bakayev MI, Komissarova KS, Ivanova AA, FadeyevAV, Smorodintseva EA, Rozhkova EG, Guzhov DA, Venev EV, Dondurey EA, Afanas'yeva OI, Obraztsova EV, Timonina VS, Golovacheva EG, Kurskaya OG, Shestopalov AM, Alimov AV, Lelenkova EV, Lioznov DA. Etiology of severe acute respiratory viral infection during the epidemic seasons 2015-2020. Therapy. 2021;7(4(46)):7-17. (In Russ). https://doi.org/10.18565/Therapy/2021.4.7-17
6. Smirnova SS, Lelenkova YeV, Markaryan AYu, Vyalykh IV, Alimov AV. Clinical, epidemiological and etiological features of severe acute respiratory infections in hospitalized patients. Infectious Diseases. 2021;19(1):64-70. (In Russ). https://doi.org/10.20953/1729-9225-2021-1-64-70
7. Lazarus R, Kleinman KP, Dashevsky I, DeMaria A, Platt R. Using automated medical records for rapid identifcation of illness syndromes (syndromic surveillance): the example of lower respiratory infection. BMC Public Health. 2001;1:9. https://doi.org/10.1186/1471-2458-1-9
8. Onishchenko GG, Yezhlova EB, Demina YuV. Epidemiological surveillance over community-acquired pneumonia as one of the means for biological safety provision. Epidemiological surveillance of community-acquired pneumonia as one of the areas of biological safety. Problems of Particularly Dangerous Infections. 2013;4:24-27. (In Russ).
9. Xiang N, Song Y, Wang Y, Wu J, Millman AJ, Greene CM, Ding Z, Sun J, Yang W, Guo G, Wang R, Guo P, Ren Z, Gong L, Xu P, Zhou S, Lin D, Ni D, Feng Z, Li Q. Lessons from an active surveillance pilot to assess the pneumonia of unknown etiology surveillance system in China, 2016: the need to increase clinician participation in the detection and reporting of emerging respiratory infectious diseases. BMC Infect Dis. 2019;19(1):770. https://doi.org/10.1186/s12879-019-4345-0
10. Zhu H, Wang Q, Zhang T, Liu X, Dai R, Wu P, Bai G, Wang Y, Zhou P, Luo L. Initial public-health emergency response to SARS and COVID-19 pandemics in Mainland China: A retrospective comparative study. Risk Manag Healthc Policy. 2021;14:4199-4209. https://doi.org/10.2147/RMHP.S324431
11. Sominina AA, Smorodintseva EA, Stolyarov KA, Mel'nikova AA. Enhancement of the infuenza Surveillance System in the Russian Federation: the Main Results of the Sentinel Surveillance for Infuenza and other Acute Respiratory Viral Infections. Epidemiology and Vaccinal Prevention. 2017;16(1):7-15. (In Russ). https://doi.org/10.31631/2073-3046-2017-16-1-7-15
12. Karpova LS, Sominina AA, Danilenko DM, Volik KM, Leonenko V.N. Evaluation of the Effectiveness of Baselines and Thresholds Intensity Epidemics, According to the Results of Traditional Surveillance for Infuenza. Эпидемиология и Вакцинопрофилактика. 2019;18(4):4-13. (In Russ). https://doi.org/10.31631/2073-3046-2019-18-4-4-13
13. Vega T, Lozano JE, Meerhoff T, Snacken R, Beauté J, Jorgensen P, Ortiz de Lejarazu R, Domegan L, Mossong J, Nielsen J, Born R, Larrauri A, Brown C. Infuenza surveillance in Europe: comparing intensity levels calculated using the moving epidemic method. Infuenza Other Respir Viruses. 2015;9(5):234-246. https://doi.org/10.1111/irv.12330
14. Metodika rascheta epidemicheskikh porogov po grippu i ostrym respiratornym virusnym infektsiyam po sub"ektam Rossiyskoy Federatsii. MR 3.1.2.0118-17. (In Russ). Available at: https://docs.cntd.ru/document/555652160 Accessed: 16 March, 2022.
15. Kravchenko NA, Gavrilova TA, Khakimova MI, Kazanova VB, Vasilyeva EI, Botvinkin AD. The Experience of a Comparative Analysis of the Incidence of Pneumonia and Acute Respiratory Infections of the Upper Respiratory Tract after the Introduction of a System of Epidemiological Monitoring of Pneumonia. Epidemiology and Vaccinal Prevention. 2019;18(1):96-104. (In Russ). https://doi.org/10.31631/2073-3046-2019-18-1-96-104
16. Kuzovnikova EZh, Devyatkov MYu, Sergevnin VI, Ovchinnikov KV. Epidemiological manifestations related to the incidence of communityacquired pneumonia since the start of offcial registration of cases. Sanitarnyy vrach. 2019;10:15-20. (In Russ).
17. Blokh AI, Pen'yevskaya NA, Rudakov NV, Lazarev II. Epidemic potential of COVID-19 in Omsk region and assessment of theantiepidemic measures. Fundamental and Clinical Medicine. 2020;5(3):8-17. (In Russ). https://doi.org/10.23946/2500-0764-2020-5-3-8-17
18. WHO. Epidemiological surveillance of COVID-19. Interim guidance dated February 14, 2022. (In Russ). Available in: https://apps.who.int/iris/bitstream/handle/10665/352033/WHO-2019-nCoV-SurveillanceGuidance-2022.1-rus.pdf?sequence=1&isAllowed=y Accessed: 15 March 2022.
19. Zhiltsov IV, Semenov VM, Zenkova SK. Fundamentals of medical statistics. Biomedical research design. Practical guide. Vitebsk: VSMU; 2014. 154 pp. (In Russ).
20. On the state of sanitary and epidemiological well-being of the population in the Irkutsk region in 2019: State report. Irkutsk: 2020. (In Russ). Available in: http://38.rospotrebnadzor.ru/c/document_library/get_fle?uuid=d8c9d2b4-8d86-4691-ac69-e8c1ae0af5bf&groupId=130642 Accessed: 15 March 2022.
21. Britkova TA, Gudovskikh NV, Chupina MS. Comparative characteristics of typical and atypical (mycoplasma) pneumonia in children. Children Infections. 2021;20(2):57-59. (In Russ). https://doi.org/10.22627/2072-8107-2021-20-2-57-59
22. Balakhonov SV, Dubrovina VI, Pyatidesyatnikova AB, Briukhova DD, Kiseleva NO, Korytov KM, Voitkova VV, Perezhogin AN, Chesnokova MV, Gavrilova TA, Seledtcov AA. Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic. Epidemiology and Vaccinal Prevention. 2021;20(2):12-17. (In Russ). https://doi.org/10.31631/2073-3046-2021-20-2-12-17
Review
For citations:
Botvinkin A.D., Kravchenko N.A., Bayanova T.A., Khakimova M.I., Gavrilova T.A., Likhanova N.A. Calculation of epidemic thresholds for incidence of community-acquired pneumonia. Fundamental and Clinical Medicine. 2022;7(2):45-55. (In Russ.) https://doi.org/10.23946/2500-0764-2022-7-2-45-55