Mpox in Children: 3 Cases.

Although the 2022 mpox outbreak mostly affected adults, its effect on children and adolescents was also substantial. In this report, we describe the clinical course and treatment of the first 3 known cases of mpox in children in New York City. These cases are instructive because they illustrate various routes of transmission, clinical presentations, and diagnostic challenges that differ from previous reports of mpox in endemic countries and previous mpox outbreaks.

Hospital and ICU Admission Risk Associated With Comorbidities Among Children With COVID-19 Ancestral Strains.

A large proportion of children have been affected by COVID-19; we evaluated the association between comorbidities and hospitalization/ICU (intensive care unit) admission among 4097 children under age 21 years with symptomatic COVID-19 (not just polymerase chain reaction [PCR]-positive or multisystem inflammatory syndrome in children associated with COVID-19 [MIS-C]) from 2 large health systems from March 2020 to September 2021. Significant comorbidities and demographic factors identified by univariable analysis were included in a multivariable logistic regression compared with children ages 6 to 11 without comorbidities. In all, 475 children (11.

HIV Pre-Exposure Prophylaxis: What Do Pediatricians Need to Know?

Pediatricians and adolescent providers play an important role in the health and well-being of adolescents and young adults, including their sexual health. HIV remains an ongoing concern for young people, with 21% of new HIV diagnoses occurring in this age group. The use of antiretroviral therapy for pre-exposure prophylaxis (PrEP) to prevent transmission of HIV to people who are not infected has been proven safe and effective.

A method for forecasting the number of hospitalized and deceased based on the number of newly infected during a pandemic.

In this paper we propose a phenomenological model for forecasting the numbers of deaths and of hospitalized persons in a pandemic wave, assuming that these numbers linearly depend, with certain delays [Formula: see text] for deaths and [Formula: see text] for hospitalized, on the number of new cases. We illustrate the application of our method using data from the third wave of the COVID-19 pandemic in Croatia, but the method can be applied to any new wave of the COVID-19 pandemic, as well as to any other possible pandemic. We also supply freely available Mathematica modules to implement the method.