Incorporating non-genetic evidence in large scale missing person searches: A general approach beyond filtering.

The search for missing persons implies several steps, from the preliminary investigation that involves collecting background data related to the case to the genetic kinship testing. Despite its crucial importance in identifications, only some approaches mathematically formalize the possibility of using preliminary investigation data. In some cases, a filtering strategy is applied, which implies selecting a subset of possible victims where some non-genetic variables perfectly match those of the missing.

Exposure to parks through the lens of urban mobility.

Unlabelled: This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activities sampled from a model based on Call Detail Records (CDR).

[Hospitalized population diagnosed with Covid-19 in public health centers in the southeastern region of Greater Buenos Aires].

Introduction: The present work describes the clinical characteristics and interventions to minimize morbidity and mortality in hospitalized patients diagnosed with COVID-19.

Methods: It is a prospective cohort investigation of patients who received a response from the Health Centers in the southeast region (RS) of the metropolitan area (AMBA) from April 8 to September 30, 2020. A Situation Room was used epidemiological with two monitoring and follow-up boards, one for bed management and the other for patient management.

Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach.

This work presents a new method for assisting in the identification process of missing persons in several contexts, such as enforced disappearances. We apply a Bayesian technique to incorporate non-genetic variables in the construction of prior information. In that way, we can learn from the already-solved cases of a particular mass event of death, and use that information to guide the search among remaining victims.

Properties of interaction networks underlying the minority game.

The minority game is a well-known agent-based model with no explicit interaction among its agents. However, it is known that they interact through the global magnitudes of the model and through their strategies. In this work we have attempted to formalize the implicit interactions among minority game agents as if they were links on a complex network.