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Mathematical models of the spread and consequences of the SARS-CoV-2 pandemics. Effects on health, society, industry, economics and technology.

The Journal of Mathematics in Industry is a high-quality open-access journal that brings together research on developments in mathematics for industrial applications, where industry is understood as any activity of economic and/or social value. 

In the disruptive period we are living in, in the middle of the spread of the SARS-CoV-2 pandemics, scientists, and in particular mathematicians and statisticians, are investing an unprecedented effort to forecast the course of the pandemic and to suggest measures to mitigate its unfortunate effects.

We are conscious that this pandemic will very likely deeply affect our societies, production, health management, and many other aspects of human life. That is why there is an urgency to provide scientifically reliable studies of the many aspects of the problem to policy makers.

This special issue will be devoted to articles that propose data-driven mathematical and statistical models of the spread of the SARS-CoV-2 virus, and/or of its foreseeable consequences on public health, society, industry, economics and technology.

The editors of this special issue and the scientists of the ECMI Consortium will guarantee a fast and fair peer-to-peer review procedure, in order to provide society with a timely and reliable injection of scientific insights."

Edited by:

Alessandra Micheletti, Adérito Araújo, Neil Budko, Ana Carpio, Matthias Ehrhardt

  1. The pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) suggests a novel type of disease spread dynamics. We here study the case where infected agents recover and only develop immunity if ...

    Authors: Kurt Langfeld
    Citation: Journal of Mathematics in Industry 2021 11:5
  2. The current COVID-19 pandemic is affecting different countries in different ways. The assortment of reporting techniques alongside other issues, such as underreporting and budgetary constraints, makes predicti...

    Authors: Luís Tarrataca, Claudia Mazza Dias, Diego Barreto Haddad and Edilson Fernandes De Arruda
    Citation: Journal of Mathematics in Industry 2021 11:2
  3. This paper stresses its base contribution on a new SIR-type model including direct and fomite transmission as well as the effect of distinct household structures. The model derivation is modulated by several m...

    Authors: Karunia Putra Wijaya, Naleen Ganegoda, Yashika Jayathunga, Thomas Götz, Moritz Schäfer and Peter Heidrich
    Citation: Journal of Mathematics in Industry 2021 11:1
  4. Social contact mixing plays a critical role in influencing the transmission routes of infectious diseases. Moreover, quantifying social contact mixing patterns and their variations in a rapidly evolving pandem...

    Authors: Zachary McCarthy, Yanyu Xiao, Francesca Scarabel, Biao Tang, Nicola Luigi Bragazzi, Kyeongah Nah, Jane M. Heffernan, Ali Asgary, V. Kumar Murty, Nicholas H. Ogden and Jianhong Wu
    Citation: Journal of Mathematics in Industry 2020 10:28
  5. We propose a mechanism explaining the approximately linear growth of Covid19 world total cases as well as the slow linear decrease of the daily new cases (and daily deaths) observed (in average) in USA and Ita...

    Authors: Dario Bambusi and Antonio Ponno
    Citation: Journal of Mathematics in Industry 2020 10:27
  6. When effective medical treatment and vaccination are not available, non-pharmaceutical interventions such as social distancing, home quarantine and far-reaching shutdown of public life are the only available s...

    Authors: Markus Kantner and Thomas Koprucki
    Citation: Journal of Mathematics in Industry 2020 10:23
  7. We present an epidemic model capable of describing key features of the Covid-19 pandemic. While capturing several qualitative properties of the virus spreading, it allows to compute the basic reproduction numb...

    Authors: Rinaldo M. Colombo, Mauro Garavello, Francesca Marcellini and Elena Rossi
    Citation: Journal of Mathematics in Industry 2020 10:22
  8. Public health interventions have been implemented to mitigate the spread of coronavirus disease 2019 (COVID-19) in Ontario, Canada; however, the quantification of their effectiveness remains to be done and is ...

    Authors: Jianhong Wu, Biao Tang, Nicola Luigi Bragazzi, Kyeongah Nah and Zachary McCarthy
    Citation: Journal of Mathematics in Industry 2020 10:15