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Despite a low global prevalence, infections with Sarcoptes scabiei, or scabies, are still common in remote communities such as in northern Australia and the Solomon Islands. Mass drug administration (MDA) has been utilised in these…

Populations and Evolution · Quantitative Biology 2018-11-26 M. Lydeamore , P. T. Campbell , D. G. Regan , S. Y. C. Tong , R. Andrews , A. C. Steer , L. Romani , J. M. Kaldor , J. McVernon , J. M. McCaw

The rapid worldwide spread of the severe acute respiratory syndrome (SARS) demonstrated the potential threat an infectious disease poses in a closely interconnected and interdependent world. Here we introduce a probabilistic model which…

Disordered Systems and Neural Networks · Physics 2009-11-10 L. Hufnagel , D. Brockmann , T. Geisel

New combinations of existing antibiotics are being investigated to combat bacterial resilience. This requires detection technologies with reasonable cost, accuracy, resolution, and throughput. Here, we present a multi -drug screening…

Signal Processing · Electrical Eng. & Systems 2022-05-25 Taejoon Kong , Nicholas Backes , Gregory Phillips , Santosh Pandey

People who inject drugs are an important population to study in order to reduce transmission of blood-borne illnesses including HIV and Hepatitis. In this paper we estimate the HIV and Hepatitis C prevalence among people who inject drugs,…

Applications · Statistics 2017-12-27 Miles Q. Ott , Krista J. Gile , Matthew T. Harrison , Lisa G. Johnston , Joseph W. Hogan

Emergent antibiotic-resistant bacterial infections are an increasingly significant source of morbidity and mortality. Antibiotic-resistant organisms have a natural reservoir in hospitals, and recent estimates suggest that almost 2 million…

Random mixing in host populations has been a convenient simplifying assumption in the study of epidemics, but neglects important differences in contact rates within and between population groups. For HIV/AIDS, the assumption of random…

Quantitative Methods · Quantitative Biology 2016-02-24 Brian G. Williams , Christopher Dye

Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system. The progression and severity of MS varies by individual, but it is generally a disabling disease. Although medications have been developed to…

Applications · Statistics 2013-03-06 Joyce C. Ho , Joydeep Ghosh , KP Unnikrishnan

In this work, two mathematical models for malaria under resistance are presented. More precisely, the first model shows the interaction between humans and mosquitoes inside a patch under infection of malaria when the human population is…

Populations and Evolution · Quantitative Biology 2020-02-04 Cristhian Montoya , Jhoana P. Romero-Leiton

Since the first case of COVID-19 disease in Wuhan in December 2019, there is a worldwide struggle to reduce the transmission of acute respiratory syndrome coronavirus SARS-CoV-2. Many countries worldwide decided to impose local lockdowns in…

Other Quantitative Biology · Quantitative Biology 2022-08-09 Daniela Dobrynin , Iryna Polishchuk , Boaz Pokroy

Current guidelines from the World Health Organization indicate that the SARS-CoV-2 coronavirus, which results in the novel coronavirus disease (COVID-19), is transmitted through respiratory droplets or by contact. Contact transmission…

Machine Learning · Computer Science 2022-08-22 Emanuele Lattanzi , Lorenzo Calisti , Valerio Freschi

Mass campaigns with antimalarial drugs are potentially a powerful tool for local elimination of malaria, yet current diagnostic technologies are insufficiently sensitive to identify all individuals who harbor infections. At the same time,…

Populations and Evolution · Quantitative Biology 2016-02-17 Jaline Gerardin , Caitlin A. Bever , Busiku Hamainza , John M. Miller , Philip A. Eckhoff , Edward A. Wenger

Biological datasets amenable to applied machine learning are more available today than ever before, yet they lack adequate representation in the Data-for-Good community. Here we present a work in progress case study performing analysis on…

Machine Learning · Statistics 2016-07-06 John W. Santerre , James J. Davis , Fangfang Xia , Rick Stevens

Multiple Sclerosis (MS) is an unpredictable, often disabling disease that can adversely affect any body function; this often requires persons with MS to be active patients who are able to self-manage. There are currently thousands of health…

Human-Computer Interaction · Computer Science 2017-11-16 Guido Giunti , Estefania Guisado-Fernandez , Brian Caulfield

Tuberculosis (TB), an infectious bacterial disease, is a significant cause of death, especially in low-income countries, with an estimated ten million new cases reported globally in $2020$. While TB is treatable, non-adherence to the…

Electronic health records (EHR) is an inherently multimodal register of the patient's health status characterized by static data and multivariate time series (MTS). While MTS are a valuable tool for clinical prediction, their fusion with…

The ability of healthcare workers to learn proper hand hygiene has been an understudied area of research. Generally, hand hygiene skills are regarded as a key contributor to reduce critical infections and healthcare-associated infections.…

Systems and Control · Electrical Eng. & Systems 2023-05-03 Irén A. Kopcsóné Németh , Csaba Nádor , László Szilágyi , Ákos Lehotsky , Tamás Haidegger

A malaria model is formulated which includes the enhanced attractiveness of infectious humans to mosquitoes, as result of host manipulation by malaria parasite, and the human behavior, represented by insecticide-treated bed nets usage. The…

Classical Analysis and ODEs · Mathematics 2013-11-14 Bruno Buonomo

The multidrug resistant Escherichia coli strains causes multiple clinical infections and has become a rising problem globally. The metallo-\b{eta}-lactamases encoding genes are very severe in gram-negative bacteria especially E. coli. This…

Other Quantitative Biology · Quantitative Biology 2019-04-11 Fazlul MKK , Deepthi S , Farzana Y , Najnin A , Rashid Ma , Munira B , Srikumar C , Nazmul

We present a detailed set-based analysis of the well-known SIR and SEIR epidemic models subjected to hard caps on the proportion of infective individuals, and bounds on the allowable intervention strategies, such as social distancing,…

Optimization and Control · Mathematics 2021-11-17 Willem Esterhuizen , Jean Lévine , Stefan Streif

Rapid antimicrobial susceptibility testing (AST) is urgently needed for treating infections with correct antibiotics and slowing down the emergence of antibiotic-resistant bacteria. Here, we report a phenotypic platform that rapidly…

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