medsovetМедицинский СоветMeditsinskiy sovet = Medical Council2079-701X2658-5790REMEDIUM GROUP Ltd.10.21518/ms2024-111medsovet-8304Research ArticleПРАКТИКАPRACTICEИнформационные системы как источник значимой информации в условиях эпидемии: опыт и уроки восстановления плановой оториноларингологической помощи после пандемии COVID-19Information systems as a source of meaningful information in an epidemic: experience and lessons in restoring routine otorhinolaryngology care after the COVID-19 pandemichttps://orcid.org/0000-0001-5870-8042КорнеенковА. А.KorneenkovA. A.

Корнеенков Алексей Александрович, д.м.н., профессор, заведующий научно-исследовательской лабораторей клинической информатики и биостатистики

190013, Санкт-Петербург, ул. Бронницкая, д. 9

Aleksei A. Korneenkov, Dr. Sci. (Med.), Professor, Head of the Research Laboratory of Clinical Informatics and Biostatistics

9, Bronnitskaya St., St Petersburg, 190013, Russia

korneyenkov@gmail.comhttps://orcid.org/0000-0002-5235-085XОвчинниковП. А.OvchinnikovP. A.

Овчинников Павел Александрович, к.м.н., научный сотрудник научно-исследовательского отдела патологии верхних дыхательных путей, Санкт-Петербургский научно-исследовательский институт уха, горла, носа и речи; начальник 60-го оториноларингологического отделения, Третий Центральный военный клинический госпиталь имени А.А. Вишневского;

190013, Санкт-Петербург, ул. Бронницкая, д. 9; 143409, Красногорск, ул. Светлая, д. 11

Pavel A. Ovchinnikov, Cand. Sci. (Med.), Researcher, Research Department of Upper Respiratory Pathology, Saint Petersburg Research Institute of Ear, Throat, Nose and Speech; Head of the 60th Otorhinolaryngological Department, 3rd Central Military Clinical Hospital named after A.A. Vishnevsky;

9, Bronnitskaya St., St Petersburg, 190013, Russia; 11, Svetlaya St., Krasnogorsk, Moscow Region, 143409, Russia

generallor@mail.ruhttps://orcid.org/0000-0002-4141-2226ВяземскаяЕ. Э.VyazemskayaE. A.

Вяземская Елена Эмильевна, инженер научно-исследовательской лаборатории клинической информатики и биостатистики

190013, Санкт-Петербург, ул. Бронницкая, д. 9

Elena E. Vyazemskaya, Engineer of the Research Laboratory of Clinical Informatics and Biostatistics

9, Bronnitskaya St., St Petersburg, 190013, Russia

vyazemskaya.elena@gmail.comhttps://orcid.org/0009-0002-6921-5299МедведеваА. Ю.MedvedevaA. Y.

Медведева Анна Юрьевна, техник научно-исследовательской лаборатории клинической информатики и биостатистики 

190013, Санкт-Петербург, ул. Бронницкая, д. 9

 

Anna Y. Medvedeva, Technician of the Research Laboratory of Clinical Informatics and Biostatistics

9, Bronnitskaya St., St Petersburg, 190013, Russia

smandtafo@yandex.ruhttps://orcid.org/0000-0001-9195-128XЯновЮ. К.YanovYu. K.

Янов Юрий Константинович, д.м.н., профессор, академик РАН, кафедра оториноларингологии, Военно-медицинская академия имени С.М. Кирова;  Северо-Западный государственный медицинский университет имени И.И. Мечникова

194044, Санкт-Петербург, ул. Академика Лебедева, д. 6; 191015,  Санкт-Петербург, ул. Кирочная, д. 41

Yuri K. Yanov, Dr. Sci. (Med.), Professor, Member of the Russian Academy of Sciences, Military Medical Academy named after S.M. Kirov; North-Western State Medical University named after I.I. Mechnikov

46, Academician Lebedev St., St. Petersburg, 194044, Russia; 1, Kirochnaya St., St Petersburg, 191015, Russia

9153864@mail.ruСанкт-Петербургский научно-исследовательский институт уха, горла, носа и речиРоссияSaint Petersburg Research Institute of Ear, Throat, Nose and SpeechRussian FederationСанкт-Петербургский научно-исследовательский институт уха, горла, носа и речи; Третий Центральный военный клинический госпиталь имени А.А. ВишневскогоРоссияSaint Petersburg Research Institute of Ear, Throat, Nose and Speech; 3rd Central Military Clinical Hospital named after A.A. VishnevskyRussian FederationВоенно-медицинская академия имени С.М. Кирова; Северо-Западный государственный медицинский университет имени И.И. МечниковаРоссияMilitary Medical Academy named after S.M. Kirov; North-Western State Medical University named after I.I. MechnikovRussian Federation20242005202407160166Copyright © Корнеенков А.А., Овчинников П.А., Вяземская Е.Э., Медведева А.Ю., Янов Ю.К., 20242024Корнеенков А.А., Овчинников П.А., Вяземская Е.Э., Медведева А.Ю., Янов Ю.К.Korneenkov A.A., Ovchinnikov P.A., Vyazemskaya E.A., Medvedeva A.Y., Yanov Y.K.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.med-sovet.pro/jour/article/view/8304Введение

Введение. Пандемия COVID-19 изменила информационные потребности участников системы управления здравоохранением и вскрыла недостаток информации для принятия управленческих и врачебных решений в период пандемии.

Цель

Цель. На основе проведенных исследований обобщить и сформулировать общее описание информации и данных, которые должны быть в медицинской информационной системе медицинских организаций оториноларингологического профиля для принятия решений в условиях эпидемий.

Материалы и методы

Материалы и методы. В исследовании использован собственный опыт решения информационных задач по оптимизации оториноларингологической помощи как в разгар пандемии, так и после восстановления планового приема и госпитализации. Приняты во внимание исследования, проведенные под эгидой ВОЗ, по оценке работы информационных систем здравоохранения в целом и отдельные работы, которые проводились по анализу влияния пандемии на оториноларингологическую помощь.

Результаты и обсуждение

Результаты и обсуждение. Обосновано содержание данных для принятия решений в пандемии по направлениям: 1) организация оказания медицинской помощи максимально близкой индивидуальному плану пациента с учетом пространственного и временного факторов – предлагается использовать географические данные пациентов, характеристики здоровья пациентов с указанием времени, когда они были зарегистрированы; 2) обеспечение готовности к оказанию медицинской помощи персонала медицинской организации – предлагается использовать результаты периодического анкетирования персонала медицинских организаций по вопросам их информированности об эпидемии, обеспокоенности различными рисками, удовлетворенности условиями труда, мотивации, эмоционального состояния; 3) моделирование оказания медицинской помощи, проверка и выбор оптимального варианта организации и распределения нагрузки – предлагается использовать алгоритмы обслуживания, необходимые ресурсы.

Выводы

Выводы. Современные медицинские информационные системы накапливают все данные, необходимые для управления в условиях эпидемии. Однако организация наборов данных для минимизации ущерба от пандемии не является быстрой и комфортной. Опыт адаптации систем к новым потребностям при COVID-19 ценен и должен быть использован для подготовки к гипотетической болезни Х.

Introduction

Introduction. The COVID-19 pandemic has modified the information needs of participants in the public health management system and identified a lack of information for making management and health decisions during the pandemic.

Aim

Aim. To summarize and provide a general description of information and data that should be available in the health information system of otorhinolaryngological health facilities for decision-making in epidemic settings based on the results of conducted studies.

Materials and methods

Materials and methods. In this study we used our own experience in addressing information challenges on optimization of otorhinolaryngological care both at the height of pandemic and after renewal of scheduled visits and hospital admissions. We considered studies under the auspices of WHO on assessment of the effectiveness of health information systems as a whole and individual works that were carried out to analyse the impact of the pandemic on provision of otorhinolaryngological care.

Results and discussion

Results and discussion. The content of data used for decision-making in a pandemic has been substantiated in the following areas: 1) provision of health care should be organized as close as possible to the patient’s personalized care plan with due account for temporal and spatial factors – it is proposed to use patient’s geographic data, patient’s health characteristics indicating the date and time they were registered; 2) health care facilities personnel should be ready to provide medical care – it is proposed to use the results of periodic surveys of health care facilities personnel with regard to their awareness of an epidemic, concern about different risks, working conditions satisfaction, motivation, and emotional status; 3) provision of health care should be simulated, and the optimal option for organizing and distributing the workload should be verified and selected – it is proposed to use service algorithms and necessary resources.

организация медицинской помощипринятие решенийисходные данныецифровизацияздравоохранениеЕГИСЗболезнь Хгеотаргетированиепанельные данныеработа с персоналомцифровые слепкиданные для моделирования процессовorganization of medical caredecision makinginitial datadigitalizationhealthcareUniform State Health Information Systemdisease Xgeotargetingpanel datawork with personneldigital impressionsdata for process modelingReferencesОвчинников ПА, Дворянчиков ВВ, Янов ЮК, Рязанцев СВ, Вяземская ЕЭ, Фанта ИВ, Корнеенков АА. Исследование вопросов информированности персонала медицинских организаций оториноларингологического профиля в условиях пандемии COVID-19. Российская оториноларингология. 2022;21(2):51–61. https://doi.org/10.18692/1810-4800-2022-2-51-61.Ovchinnikov PA, Dvoryanchikov VV, Yanov YuK, Ryazantsev SV, Vyazemskaya EE, Fanta IV, Korneenkov AA. Study of staff awareness at ent facilities in pandemic COVID-19. Rossiiskaya Otorinolaringologiya. 2022;21(2):51–61. (In Russ.) https://doi.org/10.18692/1810-4800-2022-2-51-61.Корнеенков АА, Овчинников ПА, Резванцев МВ, Вяземская ЕЭ, Дворянчиков ВВ, Будковая МА. Оптимальный подбор пар субъектов в исследованиях дизайна «случай-контроль»: демонстрация метода сопоставления на примере анализа влияния пандемии COVID-19 на персонал медицинских организаций. Российская оториноларингология. 2022;21(5):34–46. https://doi.org/10.18692/1810-4800-2022-5-34-46.Korneenkov AA, Ovchinnikov PA, Rezvantsev MV, Vyazemskaya EE, Dvoryanchikov VV, Budkovaya MA. Optimal selection of pairs of subjects in case-control studies: demonstration of matching method using example of analysis of impact of covid-19 pandemic on staff of medical organizations. Rossiiskaya Otorinolaringologiya. 2022;21(5):34–46. (In Russ.) https://doi.org/10.18692/1810-4800-2022-5-34-46.Корнеенков АА, Овчинников ПА, Вяземская ЕЭ, Фанта ИВ, Дворянчиков ВВ, Янов ЮК. Оценка эмоционального состояния медицинского персонала и изменений поведения под влиянием пандемии COVID-19: результаты кросс-секционного опроса медицинских работников. Российская оториноларингология. 2022;21(4):35–45. https://doi.org/10.18692/1810-4800-2022-4-35-45.Korneenkov AA, Ovchinnikov PA, Vyazemskaya EE, Fanta IV, Dvoryanchikov VV, Yanov YuK. Assessment of health staff emotional state and behavioural changes as a result of the COVID-19 pandemic: results of a cross-sectional survey of healthcare workers. Rossiiskaya Otorinolaringologiya. 2022;21(4):35–45. (In Russ.) https://doi.org/10.18692/1810-4800-2022-4-35-45.Корнеенков АА, Овчинников ПА, Вяземская ЕЭ, Дворянчиков ВВ, Рязанцев СВ, Янов ЮК, Фанта ИВ. Оценка условий труда и риски, обусловленные пандемией COVID-19: результаты онлайн-опроса персонала медицинских организаций. Медицинский совет. 2023;19(7):160–169. https://doi.org/10.21518/ms2023-071.Korneenkov AA, Ovchinnikov PA, Vyazemskaya EE, Dvoryanchikov VV, Ryazantsev SV, Yanov YuK, Fanta IV. Assessment of working conditions and risks caused by the COVID-19 pandemic: results of an online survey of personnel of medical organizations. Meditsinskiy Sovet. 2023;19(7): 160–169. (In Russ.) https://doi.org/10.21518/ms2023-071.Крюков ЕВ, Марьин ГГ, Кузин АА, Зобов АЕ, Насыбуллин МН, Закурдаев ВВ и др. Оценка эффективности использования средств индивидуальной защиты персоналом медицинских организаций различного профиля при оказании медицинской помощи пациентам с COVID-19. Эпидемиология и вакцинопрофилактика. 2023;22(5):33–39. https://doi.org/10.31631/2073-3046-2023-22-5-33-39.Kryukov EV, Maryin GG, Kuzin AA, Zobov AE, Nasybullin MN, Zakurdaev VV et al. Assessment of the Effectiveness of the Use of Personal Protective Equipment by Personnel of Medical Organizations of Various Profiles in the Provision of Medical Care to Patients with COVID-19. Epidemiologiya i Vaktsinoprofilaktika. 2023;22(5):33–39. (In Russ.) https://doi.org/10.31631/2073-3046-2023-22-5-33-39.Корнеенков АА, Овчинников ПА, Вяземская ЕЭ, Фанта ИВ, Дворянчиков ВВ, Янов ЮК. Оценка работы медицинской организации в условия пандемии COVID-19: результаты кросс-секционного опроса медицинских работников. Российская оториноларингология. 2022;21(3):60–69. https://doi.org/10.18692/1810-4800-2022-3-60-69.Korneenkov AA, Ovchinnikov PA, Vyazemskaya EE, Fanta IV, Dvoryanchikov VV, Yanov YuK. Assessing performance of healthcare facilities in context of COVID-19 pandemic: results of cross-sectional survey of healthcare workers. Rossiiskaya Otorinolaringologiya. 2022;22(3):60–69. (In Russ.) https://doi.org/10.18692/1810-4800-2022-3-60-69.Корнеенков АА, Овчинников ПА, Вяземская ЕЭ, Медведева АЮ, Янов ЮК. География пациентов федерального лор-стационара до и после пандемии COVID-19: изменение пространственных паттернов и характеристик. Медицинский совет. 2023;17(19):206–215. https://doi.org/10.21518/ms2023-395.Korneenkov AA, Ovchinnikov PA, Vyazemskaya EE, Medvedeva AYu, Yanov YuK. Geography of patients in the federal ENT hospital before and after the COVID-19 pandemic: changing spatial patterns and characteristics. Meditsinskiy Sovet. 2023;17(19):206–215. (In Russ.) https://doi.org/10.21518/ms2023-395.Рязанцев СВ, Балацкая КА. Мукоактивная терапия в лечении синуситов у пациентов с постковидным синдромом. Медицинский совет. 2023;17(19):34–39. https://doi.org/10.21518/ms2023-347.Ryazantsev SV, Balatskaya KA. Mucoactive therapy in the treatment of sinusitis in patients with post-Covid syndrome. Meditsinskiy Sovet. 2023;17(19):34–39. (In Russ.) https://doi.org/10.21518/ms2023-347.Корнеенков АА, Овчинников ПА, Вяземская ЕЭ, Медведева АЮ, Янов ЮК. Моделирование «ковидного провала» плановой госпитализации в период разгара пандемии COVID-19: анализ и оценка потерь использованной коечной мощности специализированного оториноларингологического стационара. Российская оториноларинго­ логия. 2024;23(1):13–24. https://doi.org/10.18692/1810-4800-2024-1-13-24.Korneenkov AA, Ovchinnikov PA, Vyazemskaya EE, Medvedeva AYu, Yanov YuK. Modeling the “Covid failure” of planned hospitalization during the height of the COVID-19 pandemic: analysis and assessment of losses of used bed capacity of a specialized otolaryngology hospital. Rossiiskaya Otorinolaringologiya. 2024;23(1):13–24. (In Russ.) https://doi.org/10.18692/1810-4800-2024-1-13-24.Negro-Calduch E, Azzopardi-Muscat N, Nitzan D, Pebody R, Jorgensen P, Novillo-Ortiz D. Health Information Systems in the COVID-19 Pandemic: A Short Survey of Experiences and Lessons Learned From the European Region. Front Public Health. 2021;9:676838. https://doi.org/10.3389/fpubh.2021.676838.Negro-Calduch E, Azzopardi-Muscat N, Nitzan D, Pebody R, Jorgensen P, Novillo-Ortiz D. Health Information Systems in the COVID-19 Pandemic: A Short Survey of Experiences and Lessons Learned From the European Region. Front Public Health. 2021;9:676838. https://doi.org/10.3389/fpubh.2021.676838.McNicholas T, Hendrick L, McDarby G, Mustafa S, Zhang Y, Saikat S et al. A novel approach to utilizing the essential public health functions in Ireland’s health system recovery and reform. Front Public Health. 2023;11:1074356. https://doi.org/10.3389/fpubh.2023.1074356.McNicholas T, Hendrick L, McDarby G, Mustafa S, Zhang Y, Saikat S et al. A novel approach to utilizing the essential public health functions in Ireland’s health system recovery and reform. Front Public Health. 2023;11:1074356. https://doi.org/10.3389/fpubh.2023.1074356.Ursin G, Skjesol I, Tritter J. The COVID-19 pandemic in Norway: The dominance of social implications in framing the policy response. Health Policy Technol. 2020;9(4):663–672. https://doi.org/10.1016/j.hlpt.2020.08.004.Ursin G, Skjesol I, Tritter J. The COVID-19 pandemic in Norway: The dominance of social implications in framing the policy response. Health Policy Technol. 2020;9(4):663–672. https://doi.org/10.1016/j.hlpt.2020.08.004.Arnold KF, Gilthorpe MS, Alwan NA, Heppenstall AJ, Tomova GD, McKee M et al. Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study. ONE. 2022;17(4): e0263432. https://doi.org/10.1371/journal.pone.0263432.Arnold KF, Gilthorpe MS, Alwan NA, Heppenstall AJ, Tomova GD, McKee M et al. Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: A counterfactual modelling study. ONE. 2022;17(4): e0263432. https://doi.org/10.1371/journal.pone.0263432.Greenhalgh T, Ozbilgin M, Tomlinson D. How covid-19 spreads: narratives, counter narratives, and social dramas. BMJ. 2022;378:e069940. https://doi.org/10.1136/bmj-2022-069940.Greenhalgh T, Ozbilgin M, Tomlinson D. How covid-19 spreads: narratives, counter narratives, and social dramas. BMJ. 2022;378:e069940. https://doi.org/10.1136/bmj-2022-069940.Tille F, Van Ginneken E, Winkelmann J, Hernandez-Quevedo C, Falkenbach M, Sagan A et al. Perspective: Lessons from COVID-19 of countries in the European region in light of findings from the health system response monitor. Front Public Health. 2023;10:1058729. https://doi.org/10.3389/fpubh.2022.1058729.Tille F, Van Ginneken E, Winkelmann J, Hernandez-Quevedo C, Falkenbach M, Sagan A et al. Perspective: Lessons from COVID-19 of countries in the European region in light of findings from the health system response monitor. Front Public Health. 2023;10:1058729. https://doi.org/ 10.3389/fpubh.2022.1058729.Horga NG, Cirnatu D, Kundnani NR, Ciurariu E, Parvu S, Ignea AL et al. Evaluation of Non-Pharmacological Measures Implemented in the Management of the COVID-19 Pandemic in Romania. Healthcare (Basel). 2022;10(9):1756. https://doi.org/10.3390/healthcare10091756.Horga NG, Cirnatu D, Kundnani NR, Ciurariu E, Parvu S, Ignea AL et al. Evaluation of Non-Pharmacological Measures Implemented in the Management of the COVID-19 Pandemic in Romania. Healthcare (Basel). 2022;10(9):1756. https://doi.org/10.3390/healthcare10091756.Marcassoli A, Leonardi M, Passavanti M, De Angelis V, Bentivegna E, Martelletti P, Raggi A. Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic. Int J Environ Res Public Health. 2023;20(3):1785. https://doi.org/10.3390/ijerph20031785.Marcassoli A, Leonardi M, Passavanti M, De Angelis V, Bentivegna E, Martelletti P, Raggi A. Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic. Int J Environ Res Public Health. 2023;20(3):1785. https://doi.org/10.3390/ijerph20031785.Țăran AM, Mustea L, Vătavu S, Lobonț OR, Luca MM. Challenges and Drawbacks of the EU Medical System Generated by the COVID-19 Pandemic in the Field of Health Systems’ Digitalization. Int J Environ Res Public Health. 2022;19(9):4950. https://doi.org/10.3390/ijerph19094950.Țăran AM, Mustea L, Vătavu S, Lobonț OR, Luca MM. Challenges and Drawbacks of the EU Medical System Generated by the COVID-19 Pandemic in the Field of Health Systems’ Digitalization. Int J Environ Res Public Health. 2022;19(9):4950. https://doi.org/10.3390/ijerph19094950.Chan CL, Chang CC. Big Data, Decision Models, and Public Health. Int J Environ Res Public Health. 2022;19(14):8543. https://doi.org/10.3390/ijerph19148543.Chan CL, Chang CC. Big Data, Decision Models, and Public Health. Int J Environ Res Public Health. 2022;19(14):8543. https://doi.org/10.3390/ijerph19148543.Routen A, Akbari A, Banerjee A, Katitireddi SV, Mathur R, McKee M et al. Strategies to record and use ethnicity information in routine health data. Nat Med. 2022;28(7):1338–1342. https://doi.org/10.1038/s41591-022-01842-y.Routen A, Akbari A, Banerjee A, Katitireddi SV, Mathur R, McKee M et al. Strategies to record and use ethnicity information in routine health data. Nat Med. 2022;28(7):1338–1342. https://doi.org/10.1038/s41591-022-01842-y.Bowsher G, Bernard R, Sullivan R. A Health Intelligence Framework for Pandemic Response: Lessons from the UK Experience of COVID-19. Health Secur. 2020;18(6):435–443. https://doi.org/10.1089/hs.2020.0108.Bowsher G, Bernard R, Sullivan R. A Health Intelligence Framework for Pandemic Response: Lessons from the UK Experience of COVID-19. Health Secur. 2020;18(6):435–443. https://doi.org/10.1089/hs.2020.0108.Xu H, Buckeridge DL, Wang F, Tarczy-Hornoch P. Novel informatics approaches to COVID-19 Research: From methods to applications. J Biomed Inform. 2022;129:104028. https://doi.org/10.1016/j.jbi.2022.104028.Xu H, Buckeridge DL, Wang F, Tarczy-Hornoch P. Novel informatics approaches to COVID-19 Research: From methods to applications. J Biomed Inform. 2022;129:104028. https://doi.org/10.1016/j.jbi.2022.104028.Ren J, Yang X, Xu Z, Lei W, Yang K, Kong Y et al. Prevention of nosocomial COVID-19 infections in otorhinolaryngology-head and neck surgery. World J Otorhinolaryngol Head Neck Surg. 2020;6(1):S6–S10. https://doi.org/10.1016/j.wjorl.2020.06.003.Ren J, Yang X, Xu Z, Lei W, Yang K, Kong Y et al. Prevention of nosocomial COVID-19 infections in otorhinolaryngology-head and neck surgery. World J Otorhinolaryngol Head Neck Surg. 2020;6(1):S6–S10. https://doi.org/10.1016/j.wjorl.2020.06.003.Klappe ES, Cornet R, Dongelmans DA, de Keizer NF. Inaccurate recording of routinely collected data items influences identification of COVID-19 patients. Int J Med Inform. 2022;165:104808. https://doi.org/10.1016/j.ijmedinf.2022.104808.Klappe ES, Cornet R, Dongelmans DA, de Keizer NF. Inaccurate recording of routinely collected data items influences identification of COVID-19 patients. Int J Med Inform. 2022;165:104808. https://doi.org/10.1016/j.ijmedinf.2022.104808.Clements ACA. Spatial and Temporal Data Visualisation for Mass Dissemination: Advances in the Era of COVID-19. Trop Med Infect Dis. 2023;8(6):314. https://doi.org/10.3390/tropicalmed8060314.Clements ACA. Spatial and Temporal Data Visualisation for Mass Dissemination: Advances in the Era of COVID-19. Trop Med Infect Dis. 2023;8(6):314. https://doi.org/10.3390/tropicalmed8060314.Xu H, Buckeridge DL, Wang F, Tarczy-Hornoch P. Novel informatics approaches to COVID-19 Research: From methods to applications. J Biomed Inform. 2022;129:104028. https://doi.org/10.1016/j.jbi.2022.104028.Xu H, Buckeridge DL, Wang F, Tarczy-Hornoch P. Novel informatics approaches to COVID-19 Research: From methods to applications. J Biomed Inform. 2022;129:104028. https://doi.org/10.1016/j. jbi.2022.104028.Chu AM, Chan JN, Tsang JT, Tiwari A, So MK. Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis. JMIR Public Health Surveill. 2021;7(3):e27317. https://doi.org/10.2196/27317.Chu AM, Chan JN, Tsang JT, Tiwari A, So MK. Analyzing Cross-country Pandemic Connectedness During COVID-19 Using a Spatial-Temporal Database: Network Analysis. JMIR Public Health Surveill. 2021;7(3):e27317. https://doi.org/10.2196/27317.Baskin RG, Bartlett R. Healthcare worker resilience during the COVID-19 pandemic: An integrative review. J Nurs Manag. 2021;29(8):2329–2342. https://doi.org/10.1111/jonm.13395.Baskin RG, Bartlett R. Healthcare worker resilience during the COVID-19 pandemic: An integrative review. J Nurs Manag. 2021;29(8):2329–2342. https://doi.org/10.1111/jonm.13395.Tesfa GA, Yehualashet DE, Ewune HA, Zemeskel AG, Kalayou MH, Seboka BT. Health Literacy and its Associated Factors Among Health Professionals During the COVID-19 Pandemic in Resource-Limited Settings: Cross-sectional Study. JMIR Form Res. 2022;6(7):e36206. https://doi.org/10.2196/36206.Tesfa GA, Yehualashet DE, Ewune HA, Zemeskel AG, Kalayou MH, Seboka BT. Health Literacy and its Associated Factors Among Health Professionals During the COVID-19 Pandemic in Resource-Limited Settings: Cross-sectional Study. JMIR Form Res. 2022;6(7):e36206. https://doi.org/10.2196/36206.Chakeeyanun B, Wongpakaran N, Wongpakaran T, Oon-Arom A. Resilience, Perceived Stress from Adapted Medical Education Related to Depression among Medical Students during the COVID-19 Pandemic. Healthcare (Basel). 2023;11(2):237. https://doi.org/10.3390/healthcare11020237.Chakeeyanun B, Wongpakaran N, Wongpakaran T, Oon-Arom A. Resilience, Perceived Stress from Adapted Medical Education Related to Depression among Medical Students during the COVID-19 Pandemic. Healthcare (Basel). 2023;11(2):237. https://doi.org/10.3390/healthcare11020237.Guerrier C, McDonnell C, Magoc T, Fishe JN, Harle CA. Understanding Health Care Administrators’ Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System. MDM Policy Pract. 2022;7(1):23814683221089844. https://doi.org/10.1177/23814683221089844.Guerrier C, McDonnell C, Magoc T, Fishe JN, Harle CA. Understanding Health Care Administrators’ Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System. MDM Policy Pract. 2022;7(1):23814683221089844. https://doi.org/10.1177/23814683221089844.Lugten E, Marcus R, Bright R, Maruf F, Kureshy N. From fragility to resilience: A systems approach to strengthen primary health care. Front Public Health. 2023;10:1073617. https://doi.org/10.3389/fpubh.2022.1073617.Lugten E, Marcus R, Bright R, Maruf F, Kureshy N. From fragility to resilience: A systems approach to strengthen primary health care. Front Public Health. 2023;10:1073617. https://doi.org/10.3389/fpubh.2022.1073617.Glushkova N, Semenova Y, Sarria-Santamera A. Editorial: Public health challenges in post-Soviet countries during and beyond COVID-19. Front Public Health. 2023;11:1290910. https://doi.org/10.3389/fpubh.2023.1290910.Glushkova N, Semenova Y, Sarria-Santamera A. Editorial: Public health challenges in post-Soviet countries during and beyond COVID-19. Front Public Health. 2023;11:1290910. https://doi.org/10.3389/fpubh.2023.1290910.Feteira-Santos R, Camarinha C, de Araújo Nobre M, Elias C, Bacelar-Nicolau L, Silva Costa A et al. Improving morbidity information in Portugal: Evidence from data linkage of COVID-19 cases surveillance and mortality systems. Int J Med Inform. 2022;163:104763. https://doi.org/10.1016/j.ijmedinf.2022.104763.Feteira-Santos R, Camarinha C, de Araújo Nobre M, Elias C, Bacelar-Nicolau L, Silva Costa A et al. Improving morbidity information in Portugal: Evidence from data linkage of COVID-19 cases surveillance and mortality systems. Int J Med Inform. 2022;163:104763. https://doi.org/10.1016/j.ijmedinf.2022.104763.Obaseki DE, Osaigbovo II, Ogboghodo EO, Adeleye O, Akoria OA, OkoOboh GA et al. Preparedness and response of a tertiary hospital to the COVID-19 pandemic in Nigeria: challenges, opportunities and lessons. Trans R Soc Trop Med Hyg. 2021;115(7):727–730. https://doi.org/10.1093/trstmh/trab028.Obaseki DE, Osaigbovo II, Ogboghodo EO, Adeleye O, Akoria OA, OkoOboh GA et al. Preparedness and response of a tertiary hospital to the COVID-19 pandemic in Nigeria: challenges, opportunities and lessons. Trans R Soc Trop Med Hyg. 2021;115(7):727–730. https://doi.org/10.1093/trstmh/trab028.Waitzberg R, Triki N, Alroy-Preis S, Lotan T, Shiran L, Ash N. The Israeli Experience with the “Green Pass” Policy Highlights Issues to Be Considered by Policymakers in Other Countries. Int J Environ Res Public Health. 2021;18(21):11212. https://doi.org/10.3390/ijerph182111212.Waitzberg R, Triki N, Alroy-Preis S, Lotan T, Shiran L, Ash N. The Israeli Experience with the “Green Pass” Policy Highlights Issues to Be Considered by Policymakers in Other Countries. Int J Environ Res Public Health. 2021;18(21):11212. https://doi.org/10.3390/ijerph182111212.

The authors declare that there are no conflicts of interest present.