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Alexa Sauvagere

Hello, my name is Alexa.

Phylogenetic-informed graph deep learning to classify dynamic transmission clusters in infectious disease epidemics

Molecular epidemiology has become increasingly standard in pathogen outbreak surveillance and modeling of epidemic spread. Owing to short generation times and/or infidelity of pathogen replication machinery, the accumulation of mutations in viruses and bacteria is relatively rapid (compared to eukaryotes), occurring on a similar timescale as epidemiological processes.

Using spatial video and deep learning for automated mapping of ground-level context in relief camps

The creation of relief camps following a disaster, conflict or other form of externality often generates additional health problems. The density of people in a highly stressed environment with questionable safe food and water access presents the potential for infectious disease outbreaks. These camps are also not static data events but rather fluctuate in size, composition, and level and quality of service provision.

Concept Analysis of Psychosocial Distress Among African American and Latine Men Who Have Sex With Men: Implications for HIV Care

The aim of this study is to provide conceptual clarity on psychosocial distress among African American and Latine men who have sex with men living with human immunodeficiency virus. As experienced by African American and Latine men who have sex with men living with human immunodeficiency virus, psychosocial distress is defined as a state of suffering due to uncontrollable structural and/or social factors that threaten the individual's existence and/or livelihood based on their social identity as a racial/ethnic, sexual minority.

Ecological change increases malaria risk in the Brazilian Amazon

Ecological change in the Brazilian Amazon is closely linked to human mobility and health. Mining, agriculture, logging, and other activities alter highly diverse ecological and demographic contexts and subsequent exposure to diseases such as malaria. Studies that have attempted to quantify the impact of deforestation on malaria in the Brazilian Amazon have produced conflicting results.