Maths-against-Malaria/COVID19_LTCFs: First release of the COVID19 risk group model

Authors: Obama, Henri Christian Junior Tsoungui; Nessma Adil Mahmoud Yousif; Looli Alawam Nemer; Ngougoue, Pierre Marie Ngougoue; Ngwa, Gideon Akumah; Teboh-Ewungkem, Miranda; Schneider, Kristan Alexander;

doi: 10.5281/zenodo.4634314 , 10.5281/zenodo.4634313

Maths-against-Malaria/COVID19_LTCFs: First release of the COVID19 risk group model

- Summary
- Metrics

Abstract

This is the first release of the model used for the simulations in the paper ``Preventing COVID-19 spread in closed facilities by regular testing of employees – an efficient intervention in long-term care facilities and prisons?´´. The model allows simulating the dynamic of covid19 in Germany and US long-term care facilities (LTCFs) and incarceration facilities (IFs), respectively. The parameters in the models can be adapted to other countries (in which the age-dependent structure of the population can be neglected) -- industrialized countries.

Related Organizations

Lehigh University
United States
African Institute for Mathematical Sciences
Cameroon
University of Buea
Cameroon
Hochschule Mittweida
Germany

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average