Total number of confirmed Covid-19 cases (Statistics of 2020)
Հայերեն
Տարբեր երկրներում կորոնավիրուսային (COVID-19) համաճարակի տվյալները մոդելավորվում են լոգիստիկ ֆունկցիայով: Այս ֆունկցիան օգտագործվում է վիրուսների տարածման դինամիկան ուսումնասիրելու համար։ Տվյալները վերցված են Ջոն Հոփկինսի համալսարանի բազայից։ Նշենք, որ վարակման դինամիկան ճշգրիտ մոդելավորելու համար անհրաժեշտ են ավելի բարդ մոդելներ, որոնք հաշվի են առնում տարբեր երկրներում սահմանված հատուկ միջոցները.
English
The phenomenological logistic function is used to model the evolution of the COVID-19 pandemic in different countries. The logistic model is mainly used in epidemiology and provides insights into the transmission dynamics of the virus. The data are from Johns Hopkins University. We note, however, to evaluate the dynamics of transmission of COVID-19, more refined models are needed, which take into account specific measures adopted in each country.
ارسی
در اینجا از تابع پدیدهشناسی لوجیستیکی به منظور مدلسازی تحول بیماری همه گیر کویید-۱۹ در کشورهای مختلف استفاده شده است .تابع لوجیستیک معمولا در اپیدمیها کاربرد دارد و اطلاعات مفیدی را در رابطه با گذارهای دینامیک ویروس فراهم می کند .این داده ها توسط دانشگاه جانز-هاپکینز گرادآوری شده است. لازم به یادآوریست که به منظور سنجش دینامیک گذار کویید-۱۹ مدل های دقیقتری مورد نیاز می باشد، که دربرگیرنده ی اندازه گیریهای به خصوص انجام شده در هر .کشور می باشد..
Française
La fonction logistique phénoménologique est utilisée pour modéliser l'évolution de la pandémie de COVID-19 dans differents pays. Le modèle logistique est utilisé principalement en épidémiologie et offre un aperçu des dynamiques de transmission du virus. Les données proviennent de l'Université Johns Hopkins. Cependant, nous observons qu'on a besoin de modèles plus raffinés afin d'évaluer les dynamiques de transmission du COVID-19, qui prennent en compte les mesures spécifiques adoptées dans chaque pays.
Italiano
La funzione logistica fenomenologica è utilizzata per modellare l'evoluzione dell'epidemia di COVID-19 in diversi paesi. Il modello logistico è utilizzato principalmente in epidemiologia e fornisce spunti sulle dinamiche di trasmissione del virus. I dati sono forniti dalla Johns Hopkins University. Tuttavia osserviamo che, per valutare le dinamiche di trasmissione del COVID-19, c'è bisogno di modelli maggiormente rifiniti, che prendono in considerazione le misure specifiche adottate in ogni paese.
Português
A função logística fenomenológica é usada para modelar a evolução da pandemia do COVID-19 em diferentes países. O modelo logístico é usado principalmente em epidemiologia e fornece informações sobre a dinâmica de transmissão do vírus. Os dados são da Universidade Johns Hopkins. Observamos, no entanto, que para avaliar a dinâmica de transmissão do COVID-19, são necessários modelos mais refinados, que levam em consideração as medidas específicas adotadas em cada país.
Русский
Данные по пандемии COVID-19 в различных странах, описывающиеся феноменологической логистической функцией. Эта функция используется в эпидемиологии и дает представление о динамике распространения вируса. Данные: Университет Джона Хопкинса. Заметим, что для расчета динамики заражений необходимы более детальные модели, учитывающие особые меры, введенные в различных странах.
Statistics of 2020 |
International statistics |
|
Statistics of Italian regions |
- April 15, 2020
- April 16, 2020
- April 17, 2020
- April 20, 2020
- April 21, 2020
- April 22, 2020
- April 23, 2020
- April 24, 2020
- April 27, 2020
- April 28, 2020
- April 29, 2020
- April 30, 2020
- May 1, 2020
- May 2, 2020
- May 3, 2020
- May 4, 2020
- May 5, 2020
- May 6, 2020
- May 7, 2020
- May 8, 2020
- May 9, 2020
- May 10, 2020
- May 11, 2020
- May 12, 2020
- May 13, 2020
- May 14, 2020
- May 15, 2020
- May 16, 2020
- May 17, 2020
- May 18, 2020
- May 19, 2020
- May 20, 2020
- May 21, 2020
- May 22, 2020
- May 23, 2020
- May 24, 2020
- May 25, 2020
- May 26, 2020
- May 27, 2020
- May 28, 2020
- May 29, 2020
- May 30, 2020
- May 31, 2020
- June 1, 2020
- June 2, 2020
- June 3, 2020
- June 4, 2020
- June 5, 2020
- June 6, 2020
- June 7, 2020
- June 8, 2020
- June 9, 2020
- June 10, 2020
- June 11, 2020
- June 12, 2020
- June 13, 2020
- June 14, 2020
- June 15, 2020
- June 16, 2020
- June 17, 2020
- June 18, 2020
- June 19, 2020
- June 20, 2020
- June 21, 2020
- June 22, 2020
- June 23, 2020
- June 24, 2020
- June 25, 2020
- June 26, 2020
- June 28, 2020
- June 29, 2020
- June 30, 2020
- July 1, 2020
- July 2, 2020
- July 3, 2020
- July 4, 2020
- July 5, 2020
- July 6, 2020
- July 7, 2020
|
- April 24, 2020
- April 27, 2020
- April 28, 2020
- April 29, 2020
- April 30, 2020
- May 1, 2020
- May 2, 2020
- May 3, 2020
- May 4, 2020
- May 5, 2020
- May 6, 2020
- May 7, 2020
- May 8, 2020
- May 9, 2020
- May 10, 2020
- May 11, 2020
- May 12, 2020
- May 13, 2020
- May 14, 2020
- May 15, 2020
- May 16, 2020
- May 17, 2020
- May 18, 2020
- May 19, 2020
- May 20, 2020
- May 21, 2020
- May 22, 2020
- May 23, 2020
- May 24, 2020
- May 25, 2020
- May 26, 2020
- May 27, 2020
- May 28, 2020
- May 29, 2020
- May 30, 2020
- May 31, 2020
- June 1, 2020
- June 2, 2020
- June 3, 2020
- June 4, 2020
- June 5, 2020
- June 6, 2020
- June 7, 2020
- June 8, 2020
- June 9, 2020
- June 10, 2020
- June 11, 2020
- June 12, 2020
- June 13, 2020
- June 14, 2020
- June 15, 2020
- June 16, 2020
- June 17, 2020
- June 18, 2020
- June 19, 2020
- June 20, 2020
- June 21, 2020
- June 22, 2020
- June 23, 2020
- June 24, 2020
- June 25, 2020
- June 26, 2020
- June 27, 2020
- June 28, 2020
- June 29, 2020
- June 30, 2020
- July 1, 2020
- July 2, 2020
- July 3, 2020
- July 4, 2020
- July 5, 2020
- July 6, 2020
- July 7, 2020
- July 8, 2020
- July 9, 2020
- July 12, 2020
- July 13, 2020
- July 14, 2020
|
|