Highlights●Goals for models include understanding, decision-making, and
predicting/forecasting.●Data for models vary in multiple dimensions, including spatial …

Probabilistic predictions support public health planning and decision making, especially in
infectious disease emergencies. Aggregating outputs from multiple models yields more …

Background Forecasting healthcare demand is essential in epidemic settings, both to inform
situational awareness and facilitate resource planning. Ideally, forecasts should be robust …

Short-term forecasting of the COVID-19 pandemic is required to facilitate the planning of
COVID-19 health care demand in hospitals. Here, we evaluate the performance of 12 …

Conducting ecological research in a way that addresses complex, real‐world problems
requires a diverse, interdisciplinary and quantitatively trained ecology and environmental …

In June of 2022, the US Centers for Disease Control and Prevention (CDC) Mpox Response
wanted timely answers to important epidemiological questions which can now be answered …

Assessing the feasibility of 2030 as a target date for global elimination of trachoma, and
identification of districts that may require enhanced treatment to meet World Health …

Forecasts of infectious agents provide public health officials advanced warning about the
intensity and timing of the spread of disease. Past work has found that accuracy and …

Aedes aegypti is one of the most dominant mosquito species in the urban areas of Miami-
Dade County, Florida, and is responsible for the local arbovirus transmissions. Since August …

Timely, accurate, and comparative data on human mobility is of paramount importance for
epidemic preparedness and response, but generally not available or easily accessible …