scholarly journals Mining effective multi-segment sliding window for pathogen incidence rate prediction

2013 ◽  
Vol 87 ◽  
pp. 425-444 ◽  
Author(s):  
Lei Duan ◽  
Changjie Tang ◽  
Xiaosong Li ◽  
Guozhu Dong ◽  
Xianming Wang ◽  
...  
2020 ◽  
Vol 9 (1) ◽  
pp. 38
Author(s):  
Elham Nazari ◽  
Hamed Tabesh

Introduction: The coronavirus outbreak has become a serious issue of the entire world. In some ways, the ability to provide outbreak rate prediction is helpful. Therefore the main purpose of this study is to investigate the incidence pattern of Confirmed COVID-19 Cases in Iran, and comparison between countries with high infected person such as USA, Brazil and others.Materials and Methods: 7801401 infected cases with COVID 19 related countries with highest infection, USA, Brazil, India, Russia, Peru, Chile, Mexico, Spain, UK, South Africa, Iran and Pakistan  in 17 weeks timespan was extracted from the Daily New Cases chart at  https://www.worldmeters. Info/coronavirus/. Also, the incidence rate pattern was presented. The frequency distribution charts used to compare countries.Results: In Iran, from the interval of first week to the end of fifth week after observing the 100th case of infection, the trend of identifying patients was upward, and after that, it showed a decreasing tendency until the end of the 10th week.  However, it seems that from the 10th to the 12th week, the trend has been increasing and after that it has been almost constant. In countries such as South Africa, India, and Brazil, however, this trend has roughly always been ascending during this period, and in other countries it has been fluctuated.Conclusion: The Covid-19 has become pandemic disease. Finding similar incidence rate with other countries aimed for applying appropriate intervention is helpful.


2017 ◽  
Vol E100.D (8) ◽  
pp. 1642-1646
Author(s):  
Masakazu MORIMOTO ◽  
Naotake KAMIURA ◽  
Yutaka HATA ◽  
Ichiro YAMAMOTO

2020 ◽  
Vol 19 (2) ◽  
pp. 56-62
Author(s):  
M. I. Gritsay ◽  
M. A. Koroleva ◽  
N. N. Fomkina ◽  
I. S. Koroleva

Aims. The purpose of this study was to identify current epidemiological features of meningococcal infection in Moscow.Materials and methods. Cases of invasive meningococcal disease in Moscow from 2014 to 2018 and the biomaterial from patients with an invasive meningococcal disease were analyzed.Results. The features of the epidemic process of meningococcal disease in Moscow were revealed: increasing in the incidence rate involving teenagers and young adults into the epidemic process; meningococcal strains of serogroups W and A increased in the etiology of the invasive meningococcal disease; high mortality rate.Conclusions. It seems reasonable to recommend vaccination against meningococcal disease by including adolescents, young adults and persons over 65 years old.


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