Understanding spatial patterns in rape reporting delays.

Under-reporting and delayed reporting of rape crime are severe issues that can complicate the prosecution of perpetrators and prevent rape survivors from receiving needed support. Building on a massive database of publicly available criminal reports from two US cities, we develop a machine learning framework to predict delayed reporting of rape to help tackle this issue. Motivated by large and unexplained spatial variation in reporting delays, we build predictive models to analyse spatial, temporal and socio-economic factors that might explain this variation.

Elementary effects analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of social distancing and mask usage.

COVID-19 was declared a pandemic by the World Health Organisation (WHO) on March 11th, 2020. With half of the world's countries in lockdown as of April due to this pandemic, monitoring and understanding the spread of the virus and infection rates and how these factors relate to behavioural and societal parameters is crucial for developing control strategies. This paper aims to investigate the effectiveness of masks, social distancing, lockdown and self-isolation for reducing the spread of SARS-CoV-2 infections.

Complete and variant forms of the 'gonococcal genetic island' in Neisseria meningitidis.

Comparative genome hybridization using the pan-Neisseria microarray identified genes from the gonococcal genetic island (GGI) within Neisseria meningitidis strains of serogroups W-135, H, and Z. While some of these strains contain nearly all of the genes of the GGI, there are differences in the presence of some of these genes between the strains, including between those of the same serogroup. Attempts were then made to determine the location of the GGI in these meningococci.

Inter-species horizontal transfer resulting in core-genome and niche-adaptive variation within Helicobacter pylori.

Background: Horizontal gene transfer is central to evolution in most bacterial species. The detection of exchanged regions is often based upon analysis of compositional characteristics and their comparison to the organism as a whole. In this study we describe a new methodology combining aspects of established signature analysis with textual analysis approaches.