Political Philosophy in the Pandemic. The Italian Panorama

From the outset, the emergency generated by the Covid-19 pandemic has had political and philosophical implications, as well as medical, social and economic ones. It has raised issues such as the relationship between security and freedom, between citizens and the state, between rights and obligations, and among democratic powers, as well as discussions about the current economic and environmental model of development. This article presents a review of the main interpretations and reflections on the pandemic proposed by political philosophers in Italy during more than a year of crisis.

Environmental factors and mobility predict COVID-19 seasonality

BackgroundWe recently showed that seasonal patterns of COVID-19 incidence and Influenza-Like Illnesses incidence are highly similar, in a country in the temperate climate zone, such as the Netherlands (latitude: 52°N). We hypothesize that in The Netherlands the same environmental factors and mobility trends that are associated with the seasonality of flu-like illnesses are predictors of COVID-19 seasonality as well.MethodsWe used meteorological, pollen/hay fever and mobility data from the Netherlands with its 17.4 million inhabitants. For the reproduction number of COVID-19 (Rt), we used data from the Dutch State Institute for Public Health. This Rt metric is a daily estimate that is based on positive COVID-19 tests in the Netherlands in hospitals and municipalities. For all datasets we selected the overlapping period of COVID-19 and the first allergy season: from February 17, 2020 till September 21, 2020 (total number of measurements: n = 218), the end of pollen season. Backward stepwise multiple linear regression was used to develop an environmental prediction model of the Rt of COVID-19. Next, we studied whether adding mobility trends to an environmental model improved the predictive power.ResultsBy means of stepwise backward multiple linear regression four highly significant (p value < 0.01) predictive factors are selected in our combined model: temperature, solar radiation, hay fever incidence, and mobility to indoor recreation locations. Our combined model explains 87.5% of the variance of Rt of COVID-19 and has a good and highly significant fit: F(4, 213) = 374.2, p-value < 0.00001. The combined model had a better overall predictive performance compared to a solely environmental model, which still explains 77.3% of the variance of Rt, and a good and highly significant fit: F(4, 213) = 181.3, p < 0.00001.ConclusionsWe conclude that the combined mobility and environmental model can adequately predict the seasonality of COVID-19 in a country with a temperate climate like the Netherlands. In this model higher solar radiation, higher temperature and hay fever are related to lower COVID-19 reproduction, and mobility to indoor recreation locations with increased COVID-19 spread.HighlightsThe seasonality of COVID-19 can be well-explained by environmental factors and mobility.A combined model explains 87.5% of the variance of the reproduction number of COVID-19Inhibitors of the reproduction number of COVID-19 are higher solar radiation, and seasonal allergens/allergies.Mobility, especially to indoor recreation locations, increases the reproduction number of COVID-19.Temperature has no direct effect on the reproduction number of COVID-19, but affects mobility and seasonal allergens.Adding mobility trends to an environmental model improves the predictive value regarding the reproduction number of COVID-19.

Disrupting Cultures of Harassment in Archaeology: Social-Environmental and Trauma-Informed Approaches to Disciplinary Transformation

This article is the second in a two-part series that analyzes current research on harassment in archaeology. Both qualitative and quantitative studies, along with activist narratives and survivor testimonials, have established that harassment is occurring in archaeology at epidemic rates. These studies have also identified key patterns in harassment in archaeology that point to potential interventions that may prevent harassment, support survivors, and hold perpetrators accountable. This article reviews five key obstacles to change in the disciplinary culture of archaeology: normalization, exclusionary practices, fraternization, gatekeeping, and obstacles to reporting. Two public health paradigms—the social-environmental model and trauma-informed approaches—are used to identify interventions that can be taken at all levels of archaeological practice: individual, relational, organizational, community, and societal.

Predicting the spatio-temporal spread of West Nile virus in Europe

West Nile virus is a widely spread arthropod-born virus, which has mosquitoes as vectors and birds as reservoirs. Humans, as dead-end hosts of the virus, may suffer West Nile Fever (WNF), which sometimes leads to death. In Europe, the first large-scale epidemic of WNF occurred in 1996 in Romania. Since then, human cases have increased in the continent, where the highest number of cases occurred in 2018. Using the location of WNF cases in 2017 and favorability models, we developed two risk models, one environmental and the other spatio-environmental, and tested their capacity to predict in 2018: 1) the location of WNF; 2) the intensity of the outbreaks (i.e. the number of confirmed human cases); and 3) the imminence of the cases (i.e. the Julian week in which the first case occurred). We found that climatic variables (the maximum temperature of the warmest month and the annual temperature range), human-related variables (rain-fed agriculture, the density of poultry and horses), and topo-hydrographic variables (the presence of rivers and altitude) were the best environmental predictors of WNF outbreaks in Europe. The spatio-environmental model was the most useful in predicting the location of WNF outbreaks, which suggests that a spatial structure, probably related to bird migration routes, has a role in the geographical pattern of WNF in Europe. Both the intensity of cases and their imminence were best predicted using the environmental model, suggesting that these features of the disease are linked to the environmental characteristics of the areas. We highlight the relevance of river basins in the propagation dynamics of the disease, as outbreaks started in the lower parts of the river basins, from where WNF spread towards the upper parts. Therefore, river basins should be considered as operational geographic units for the public health management of the disease.

Multi-UAV Cooperative Task Planning for Border Patrol based on Hierarchical Optimization

In order to improve the patrol efficiency of border patrol drones, based on unmanned aerial vehicle (UAV) border patrol missions in multiple complex environments, this article proposes a whale algorithm based on chaos theory to plan patrol missions for multiple drones. First, according to the terrain the corresponding environmental model is established for the topography and then solved in layers to obtain the number of drones and other information that each base needs to send to the patrol area. Further, the use of drones with cameras and other detection equipment to patrol the scene information and images extract and transfer to the terminal in real time, and further detect suspicious persons and vehicles on the screen. The final simulation results show that the proposed scheme can be effectively applied to the planning of multi-UAV coordinated missions for border patrol.