Estee Y Cramer

TL;DR: This analysis demonstrates that real-time, publicly available ensemble forecasts issued in April-July 2020 provided robust short-term predictions of reported COVID-19 deaths in the United States, highlighting the importance of combining multiple probabilistic models and assessing forecast skill at different prediction horizons.

TL;DR: In this paper , the authors compared the probabilistic accuracy of short-term forecasts of reported deaths due to COVID-19 during the first year and a half of the pandemic in the United States.

TL;DR: In this paper, the authors systematically evaluated 23 models that regularly submitted forecasts of reported weekly incident COVID-19 mortality counts in the US at the state and national level at the CDC.

TL;DR: The US COVID-19 Forecast Hub as mentioned in this paper is a dataset with point and probabilistic forecasts of incident hospitalizations, incident cases, incident deaths, and cumulative deaths due to COVID19 at national, state, and county levels.

TL;DR: Patients seeking care for suspected malaria infection were analyzed by RDT, microscopy, and Plasmodium species-specific, ligase detection reaction-fluorescent microsphere assay (LDR-FMA), finding that a positive pLDH band in high P. falciparum-parasitemic individuals may complicate diagnosis and treatment.