UTLDR

UTLDR is a versatile and user-friendly framework designed to facilitate the exploration of various epidemic scenarios and the potential impact of public health interventions. Developed in response to the heightened interest in epidemic modeling due to the SARS-CoV-2 pandemic, UTLDR fills a gap in the existing software libraries and scientific tools by providing a simple yet powerful means to study the effects of different intervention strategies.

One of UTLDR's key features is its ability to generate "what if" scenarios. This allows researchers to investigate the potential outcomes of implementing various public health measures, such as lockdowns, testing, and contact tracing, individually or in combination. This functionality enables users to gain insights into different intervention approaches' effectiveness and potential synergies.

UTLDR is designed to be accessible and easy to use, making it suitable for researchers from diverse fields who may not have extensive experience in epidemic modeling. The framework leverages information from stratified agent populations, considering factors such as age, gender, geographical allocation, and mobility patterns. This granular approach allows for more nuanced and realistic modeling of epidemic dynamics.

Importantly, UTLDR is not limited to a specific epidemic phenomenon. Instead, it provides a generic framework that can be adapted to study various infectious disease outbreaks. The primary goal of UTLDR is to offer qualitative support for understanding the effects of public health interventions rather than producing precise forecasts or explanations of data-driven phenomena.