Deception Detection: Using Machine Learning to Analyze 911 Calls.

This study examined the use of machine learning in detecting deception among 210 individuals reporting homicides or missing persons to 911. The sample included an equal number of false allegation callers (FAC) and true report callers (TRC) identified through case adjudication. Independent coders, unaware of callers' deception, analyzed each 911 call using 86 behavioral cues.

Estimating Australian Hospitalization Ratios and Costs for Wildtype SARS-CoV-2 in 2020.

Utilizing a retrospective cohort study of SARS-CoV-2 wildtype (Wuhan) strain, we aimed to 1) utilize the unique Australian experience of temporarily eliminating SARS-CoV-2 to document and estimate the hospitalization demand; and 2) estimate the inpatient hospital costs associated with treatment. Case data was based on Victoria Australia from March 29 to December 31, 2020. Outcomes measures included hospitalization demand and case fatality ratio and inpatient hospitalization costs.

Hepatitis B prevalence in women giving birth in the Northern Territory, Australia, 2005-2015.

Background: Hepatitis B virus (HBV) vaccination in the Northern Territory (NT) was funded for all Aboriginal and Torres Strait Islander newborns in 1988 and for all newborns in 1990. The prevalence of HBV in the Northern Territory was found to be higher in Aboriginal and Torres Strait Islander women than in non-Indigenous women across 2005-2010. We examined more recent data to assess whether the gap remains.

Deception Cues During High-Risk Situations: 911 Homicide Calls.

During everyday interactions, cues tend to be weakly related to deception. However, there are theoretical reasons to suspect that such cues will be more prominent during high-risk interactions. The current study explored deception cues during one particular high-risk interaction-911 homicide calls placed by adults.