Exploring Geographical Topologies and Diffusion of Monkeypox Infections at the Beginning Pandemic

Abstract

Although a bit more of 2 months from the outbreak of Monkeypox pandemic, global data of number of infections are exhibiting an exponential behavior due to a fast propagation. In this paper it is analyzed the reported data up to end of July. It is observed that data possibly is not following a similar shape than the ongoing Covid-19 pandemic. With this, a model is developed to be confronted to current data. Furthermore, the spread of Monkeypox is discussed in terms of geographical topologies. From it, it is demonstrated that a diffusion equation might be underlying the spatial propagation that would depend on the velocity of transmission. A mathematical interpretation of ongoing data in terms of proposed model based at peaked and exponential distributions is presented.