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Aug 2023 DOI 10.14302/issn.2641-9181.ijnr-23-4658
Regina OakleyCorresponding author
Brucella species cause a high burden of disease globally, infecting both humans and animals; however, One Health has been under-appreciated in Colombia. This study aimed to determine the seroprevalence of Brucella spp. in two remote indigenous communities from the Sierra Nevada de Santa Marta, Colom…
Nov 2021 DOI 10.14302/issn.2691-8862.jvat-21-3991
Raúl IseaCorresponding author
The objective of this paper is to apply datadriven discovery of dynamics modeling to obtain a system of differential equations that allows us to describe the transmission dynamics of Covid-19, based on the number of confirmed cases and deaths reported daily. This methodology was applied in four diff…
Aug 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3918
Raúl IseaCorresponding author
Mathematical and computational studies of Covid-19 have underestimated the influence that other countries have on their daily records. To visualize this, a Granger causality analysis was implemented in Python to determine if the cases registered in Brazil, Chile, Colombia, Ecuador, Panama, Paraguay,…
Aug 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3498
Raúl IseaCorresponding author
The paper proposes a new visualization scheme for the registry of Covid-19 cases by calculating the mantissa of the registered ones, so there is no need of performing complicated mathematical calculations. As an example, six countries are randomly selected: Australia, Brazil, China, Colombia, Portug…
Jul 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3453
Raul IseaCorresponding author
The present work analyzes the registered cases of Covid-19 throughout the world according the data registered at Johns Hopkins University. We selected 15 countries to analyze their data. In alphabetical order the countries are: Argentina, Australia, Brazil, Chile, China, Colombia, Germany, India, It…
May 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3376
Raul IseaCorresponding author
The goal of this paper is to analyze the registered cases of people who have been infected with Covid-19 registered from throughout the world, using a digital forensic analysis technique that is based on Benford's Law. Twenty-three countries were randomly chosen for this analysis: China, India, Germ…