Where2Test Website Frontend

Frontend of the main Where2Test website. It presents information collected by the backend, and performs client-side calculations for mini-apps that need these. All apps displayed by the frontend are: Retirement Home Testing Optmizer Risk Calculator Workplace Occupancy Optimizer Forecast Dashboards The frontend is written in the REACT.js framework

Spatial constraints on the diffusion of religious innovations : The case of early Christianity in the Roman Empire

Christianity emerged as a small and marginal movement in the first century Palestine and throughout the following three centuries it became highly visible in the whole Mediterranean. Little is known about the mechanisms of spreading innovative ideas in past societies. Here we investigate how well the spread of Christianity can be explained as a diffusive process constrained by physical travel in the Roman Empire. First, we combine a previously established model of the transportation network with city population estimates and evaluate to which extent the spatio-temporal pattern of the spread of Christianity can be explained by static factors. Second, we apply a network-theoretical approach to analyze the spreading process utilizing effective distance. We show that the spread of Christianity in the first two centuries closely follows a gravity-guided diffusion, and is substantially accelerated in the third century. Using the effective distance measure, we are able to suggest the probable path of the spread. Our work demonstrates how the spatio-temporal patterns we observe in the data can be explained using only spatial constraints and urbanization structure of the empire. Our findings also provide a methodological framework to be reused for studying other distant past cultural spreading phenomena.Peer reviewe

Spatial predictive modeling of prehistoric sites in the Bohemian-Moravian Highlands based on graph similarity analysis

This paper presented a new method for identifying promising areas for archaeological research. The method is based on graph analysis that iteratively compares and manipulates Hamming distances between graphs of input geographical parameters and graphs of human activity data in various historical periods. The weights learned from the comparison was used to build a prediction model to estimate the potential presence of an archaeological site of a certain time period in a given cadaster. This was applied in the Bohemian Moravian Highlands region based on the most complete archaeological dataset of the area. Resulting maps were analyzed from the archaeological and historical point of view to test against the existing knowledge of prehistoric population movement in the region. Overall, the method proved to overcome problems such as fragmentary inputs and is a good candidate for application in smaller and geographically diverse research areas. The aim of this work was to contribute to the methodology of the prediction of historical human activity, to facilitate greater comprehension of past local settlement dynamics, and to possibly ease the protection of cultural heritage

Ptolemaic political activities on the west coast of Hellenistic Asia Minor had a significant impact on the local spread of the Isiac cults: A spatial network analysis.

During the reign of the first Ptolemaic kings in Egypt, mainly in the 3rd and 2nd centuries BCE, the Egyptian cults related to the divine couple of Isis and Sarapis (i.e. the Isiac cults) spread successfully from Egypt to ports and coastal cities of the ancient Mediterranean. The discussion on the topic of the factors involved in the process of the early spread of these cults outside Egypt is still open and, so far, the research in this area has been conducted mainly by using established historiographical methods. However, these methods are limited when dealing with the interplay among different variables involved in complex historical processes. This article aims to overcome these limits by using a quantitative spatial network analysis. The results of our previous published research, which focused on a quantitative evaluation of the impact of individual factors on the early spread of the Isiac cults across the ancient Aegean Islands, suggest that the process was promoted by military and commercial activities of the Ptolemaic dynasty, and that the Ptolemaic military operations were the most influential factor. Following these results, this article focuses on the early spread of the Isiac cults on the west coast of Hellenistic Asia Minor, i.e. the region which the Ptolemies attempted to control in the 3rd and 2nd centuries BCE. The statistically significant results presented in this article support the hypothesis that the Ptolemaic political engagement in Asia Minor had a positive impact on the early spread of the Isiac cults. The results also suggest that the activities of the Seleucid dynasty, a political rival of the Ptolemies, in the area of interest could have constituted an immunological factor limiting the spread of the Isiac cults further to the eastern parts of Asia Minor

Data publication: Estimating cross-border mobility from the difference in peak-timing: A case study in Poland-Germany border regions

Codes for reproducing the results in the research article "Estimating cross-border mobility from the difference in peak-timing: A case study in Poland-Germany border regions

Where2Test Website Backend

Source code for the backend of the Where2Test website. The backend connects to a database and scrapes online information needed to run the following mini-applications that make up the Where2Test COVID research project website: Retirement Home Testing Optimizer COVID-19 Workplace Occupancy Optimizer Saxony Wastewater Forecast Dashboard Regional Forecast Dashboards The backend is written in the Python programming language using the Flask web application framework

Data publication: A network-based approach to identifying correlations between phylogeny, morphological traits and occurrence of fish species in US river basins.

There are three primary datasets used in this work.These were obtained for Dr. Guohuan Su (co-author on the paper) . 1. Phylogenetic distance data sets between all fish species in the US. 2. Morphological traits dataset that list 10 traits information of fish species. 3. Occurrence dataset that list occurrence information of fish species in HUC8 regions of the US There is one dataset that lists exotic species in the US. The entries for exotic species are removed from about datasets before analysis

Data publication: Optimal workplace occupancy strategies during the COVID-19 pandemic

Codes for "Optimal workplace occupancy strategies during the COVID-19 pandemic

On the optimal presence strategies for workplace during pandemics: A COVID-19 inspired probabilistic model.

During pandemics like COVID-19, both the quality and quantity of services offered by businesses and organizations have been severely impacted. They often have applied a hybrid home office setup to overcome this problem, although in some situations, working from home lowers employee productivity. So, increasing the rate of presence in the office is frequently desired from the manager's standpoint. On the other hand, as the virus spreads through interpersonal contact, the risk of infection increases when workplace occupancy rises. Motivated by this trade-off, in this paper, we model this problem as a bi-objective optimization problem and propose a practical approach to find the trade-off solutions. We present a new probabilistic framework to compute the expected number of infected employees for a setting of the influential parameters, such as the incidence level in the neighborhood of the company, transmission rate of the virus, number of employees, rate of vaccination, testing frequency, and rate of contacts among the employees. The results show a wide range of trade-offs between the expected number of infections and productivity, for example, from 1 to 6 weekly infections in 100 employees and a productivity level of 65% to 85%. This depends on the configuration of influential parameters and the occupancy level. We implement the model and the algorithm and perform several experiments with different settings of the parameters. Moreover, we developed an online application based on the result in this paper which can be used as a recommender for the optimal rate of occupancy in companies/workplaces