Benign Intraoral Soft Tissue Lesions in Children.

Benign intraoral soft tissue pathology in pediatric patients includes developmental, traumatic, inflammatory, and infectious lesions. Common pathology includes gingival cysts, mucoceles, fibromas, and parulis. Less common lesions include peripheral ossifying fibromas, congenital epulis of the newborn, and congenital mandibular duct atresia.

Assessing the impact of human mobility to predict regional excess death in Ecuador.

COVID-19 outbreaks have had high mortality in low- and middle-income countries such as Ecuador. Human mobility is an important factor influencing the spread of diseases possibly leading to a high burden of disease at the country level. Drastic control measures, such as complete lockdown, are effective epidemic controls, yet in practice one hopes that a partial shutdown would suffice.

Excess deaths reveal unequal impact of COVID-19 in Ecuador.

Latin America has struggled to control the transmission of COVID-19. Comparison of excess death (ED) rates during the pandemic reveals that Ecuador is among the highest impacted countries. In this analysis, we update our previous findings with the most complete all-cause mortality records available for 2020, disaggregated by sex, age, ethnicity and geography.

Excess deaths reveal the true spatial, temporal and demographic impact of COVID-19 on mortality in Ecuador.

Background: In early 2020, Ecuador reported one of the highest surges of per capita deaths across the globe.

Methods: We collected a comprehensive dataset containing individual death records between 2015 and 2020, from the Ecuadorian National Institute of Statistics and Census and the Ecuadorian Ministry of Government. We computed the number of excess deaths across time, geographical locations and demographic groups using Poisson regression methods.

Excess deaths reveal the true spatial, temporal, and demographic impact of COVID-19 on mortality in Ecuador.

Background: In early 2020, Ecuador reported one of the highest surges of per capita deaths across the globe.

Methods: We collected a comprehensive dataset containing individual death records between 2015 and 2020 from the Ecuadorian National Institute of Statistics and Census and the Ecuadorian Ministry of Government. We computed the number of excess deaths across time, geographical locations and demographic groups using Poisson regression methods.

CAT: computer aided triage improving upon the Bayes risk through ε-refusal triage rules.

Background: Manual extraction of information from electronic pathology (epath) reports to populate the Surveillance, Epidemiology, and End Result (SEER) database is labor intensive. Systematizing the data extraction automatically using machine-learning (ML) and natural language processing (NLP) is desirable to reduce the human labor required to populate the SEER database and to improve the timeliness of the data. This enables scaling up registry efficiency and collection of new data elements.