A summary of the main themes and findings presented at the ASM Intermountain Branch meeting (2024).

The annual meeting for the Intermountain Branch was held in April 2024 on the campus of Brigham Young University. There were 127 branch members from Utah, Idaho, and Nevada who attended the meeting and were composed of undergraduate students, graduate or medical students, and faculty. This report highlights the diversity of, and the emerging trends in, the research conducted by American Society for Microbiology members in the Intermountain Branch.

High-resolution estimates of social distancing feasibility, mapped for urban areas in sub-Saharan Africa.

Social distancing has been widely-implemented as a public health measure during the COVID-19 pandemic. Despite widespread application of social distancing guidance, the feasibility of people adhering to such guidance varies in different settings, influenced by population density, the built environment and a range of socio-economic factors. Social distancing constraints however have only been identified and mapped for limited areas.

Mapping urban physical distancing constraints, sub-Saharan Africa: a case study from Kenya.

With the onset of the coronavirus disease 2019 (COVID-19) pandemic, public health measures such as physical distancing were recommended to reduce transmission of the virus causing the disease. However, the same approach in all areas, regardless of context, may lead to measures being of limited effectiveness and having unforeseen negative consequences, such as loss of livelihoods and food insecurity. A prerequisite to planning and implementing effective, context-appropriate measures to slow community transmission is an understanding of any constraints, such as the locations where physical distancing would not be possible.

High-resolution population estimation using household survey data and building footprints.

The national census is an essential data source to support decision-making in many areas of public interest. However, this data may become outdated during the intercensal period, which can stretch up to several decades. In this study, we develop a Bayesian hierarchical model leveraging recent household surveys and building footprints to produce up-to-date population estimates.

Magnetic Resonance Imaging-Guided Adaptive Brachytherapy for the Treatment of Cervical Cancer and its Impact on Clinical Outcome.

Aims: We implemented magnetic resonance imaging-based image-guided adaptive brachytherapy (IGABT) for the management of cervical cancer at the Northern Centre for Cancer Care in January 2015. The Royal College of Radiologists recommended IGABT as the new standard of care for the management of cervical cancer in the UK in 2009, following earlier publication of recommendations of Groupe European de Curietherapie of the European Society for Radiotherapy and Oncology for three-dimensional magnetic resonance imaging-based IGABT. The purpose of this study was to investigate if the introduction of IGABT in the management of cervical cancer at our institute indeed improved the treatment outcomes with a better toxicity profile as compared with conventional brachytherapy (CBT).