DETERMINATION OF THE EPIDEMIC THRESHOLD OF AN INFECTIOUS DISEASE

被引:0
|
作者
Kashuba, Nikolay [1 ]
Melnyk, Nataliia [1 ]
机构
[1] Ivan Horbachevsky Ternopil Natl Med Univ, Dept Gen Hyg & Ecol, M Voli 1, UA-46001 Ternopol, Ukraine
关键词
epidemic threshold; SARS; COVID-19; pandemic;
D O I
10.5114/hpc.2023.126726
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background. The purpose of this work was to develop a program algorithm for calculating and graphically constructing the level of the epidemic threshold of an infectious disease. Material and methods. To calculate the epidemic threshold of an infectious disease, a statistical method was applied. Microsoft Visual Basic was used (as a programming language and development environment) to write the program algorithm. MS Excel was used to enter the input data of the weekly incidence rate. Results. The algorithm of the program is quite easy to use; it consists of 12 consecutive steps with the entry of relevant data in each field of the window that appears. Thus, weekly information on the level of morbidity in a certain region for any period of the year (maximum 52 weeks) is entered into the program. After entering the information, the program displays a graph with the epidemic threshold value for each week. Due to this, it is possible to compare the level of the epidemic threshold in different periods of the year. Conclusions. The developed computer program makes it possible to determine the epidemic threshold of any infectious disease. It can be used to analyze and predict any infectious processes that are permanent, including COVID-19.
引用
收藏
页码:122 / 129
页数:8
相关论文
共 50 条
  • [31] Infectious disease activity during the COVID-19 epidemic in Japan: Lessons learned from prevention and control measures Commentary
    Sawakami, Tatsuo
    Karako, Kenji
    Song, Peipei
    Sugiura, Wataru
    Kokudo, Norihiro
    BIOSCIENCE TRENDS, 2021, 15 (04) : 257 - 261
  • [32] Establishment of epidemic early warning index system and optimization of infectious disease model: Analysis on monitoring data of public health emergencies
    Xiong, Li
    Hu, Peiyang
    Wang, Houcai
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2021, 65
  • [33] Healthcare worker protection against epidemic viral respiratory disease
    Scantling-Birch, Yarrow
    Newton, Richard
    Naveed, Hasan
    Rajak, Saul
    Bhutta, Mahmood F.
    POSTGRADUATE MEDICAL JOURNAL, 2022, 98 (1156) : 131 - 137
  • [34] Fuzzy Time Series Algorithm for Predicting Epidemic Trends in Infectious Diseases
    Liu, Zhi
    Zhang, Zhiyi
    2024 14TH ASIAN CONTROL CONFERENCE, ASCC 2024, 2024, : 1249 - 1253
  • [35] Impact of COVID-19 pandemic and national lockdown on hospital attendance of various infectious disease patients at an apex infectious disease hospital of Eastern India
    Maji, Baisakhi
    Roy, Rammohan
    Haldar, Dibakar
    Samanta, Sumana
    INTERNATIONAL ARCHIVES OF HEALTH SCIENCES, 2022, 9 (04) : 145 - 151
  • [36] Competence and Training Needs in Infectious Disease Emergency Response Among Chinese Nurses: Cross-Sectional Study
    Zhang, Dandan
    Chen, Yong-Jun
    Cui, Tianxin
    Zhang, Jianzhong
    Chen, Si-Ying
    Zhang, Yin-Ping
    JMIR PUBLIC HEALTH AND SURVEILLANCE, 2024, 10
  • [37] Characterizing superspreading potential of infectious disease: Decomposition of individual transmissibility
    Zhao, Shi
    Chong, Marc K. C.
    Ryu, Sukhyun
    Guo, Zihao
    He, Mu
    Chen, Boqiang
    Musa, Salihu S.
    Wang, Jingxuan
    Wu, Yushan
    He, Daihai
    Wang, Maggie H.
    PLOS COMPUTATIONAL BIOLOGY, 2022, 18 (06)
  • [38] A novel approach to infectious disease control and radiotherapy risk management
    Islam, Naveed M.
    Wadi-Ramahi, Shada J.
    Lalonde, Ron
    Baig, Tanvir
    diMayorca, Maria
    Clump, David A.
    Huq, M. Saiful
    MEDICAL PHYSICS, 2023, 50 (05) : 2683 - 2694
  • [39] Health Systems Preparedness for Infectious Disease Outbreaks: Relevance for Nephrology
    Meena, Priti
    Abdellatif, Dina
    Tiwari, Vaibhav
    Chatterjee, Santanu
    Luyckx, Valerie A.
    SEMINARS IN NEPHROLOGY, 2023, 43 (05)
  • [40] Epidemic threshold determined by the first moments of network with alternating degree distributions
    Li, Kezan
    Zhang, Haifeng
    Fu, Xinchu
    Ding, Yong
    Small, Michael
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 419 : 585 - 593