Hospital-associated infections and antibiotic-resistant infections lead to the loss of millions of lives each year. One Health Trust is a member of the U.S. Centers for Disease Control and Prevention’s MInD-Healthcare network, which supports innovative transmission modeling research to understand what drives the spread of hospital-associated and antibiotic-resistant pathogens and estimate the benefits of preventive measures.
One Health Trust has conducted and published research in three areas:
- Multi-level modeling to inform interventions to control multidrug-resistant organisms in health care networks. As part of the MInD network, OHT developed models to improve understanding of how biological and behavioral factors associated with the transmission of multidrug-resistant organisms affect interventions to reduce hospital-associated infections. Resulting publications discussed the frequency of carbapenem-resistant Enterobacteriaceae colonization and the role of networks within and between hospitals in the transmission of antibiotic-resistant pathogens.
- In silico randomized control trial to assess infection control and prevention in hospitals. The models developed through this proposal are exploring how biological factors associated with the transmission of multidrug-resistant organisms affect interventions to reduce hospital-associated infections. This will aid predictions of patients’ risk for colonization and infection, as well as improve understanding of how interventions can be combined to reduce the likelihood that patients will suffer from these high-consequence pathogens.
- Modeling of the transmission of COVID-19 and its drivers. The MInD network has run modeling projects, including a model of COVID-19 transmission that estimates the percentage of asymptomatic infections, assessments of the benefits of vaccination under different scenarios, and the role of humidity in COVID-19 transmission. OHT has also supported the state of Maryland’s and the Johns Hopkins Hospital Systems’ responses to the COVID-19 pandemic.
The Centers for Disease Control and Prevention (CDC)
- Lin, G., Tseng, K. K., Gatalo, O., Martinez, D. A., Hinson, J. S., Milstone, A. M., … & Klein, E. (2021). Cost-effectiveness of carbapenem-resistant Enterobacteriaceae (CRE) surveillance in Maryland. Infection Control & Hospital Epidemiology, 1-9. Available here.
- Squire, M. M., Sessel, G. K., Lin, G., Squire Jr, E. N., & Igusa, T. (2021). Optimal Design of Paired Built Environment Interventions for Control of MDROs in Acute Care and Community Hospitals. HERD: Health Environments Research & Design Journal, 14(2), 109-129. Available here.
- Hamilton, A. J., Strauss, A. T., Martinez, D. A., Hinson, J. S., Levin, S., Lin, G., & Klein, E. Y. (2021). Machine learning and artificial intelligence: applications in healthcare epidemiology. Antimicrobial Stewardship & Healthcare Epidemiology, 1(1). Available here.
- Haghpanah, F., Lin, G., Levin, S. A., & Klein, E. (2021). Analysis of the potential impact of durability, timing, and transmission blocking of COVID-19 vaccine on morbidity and mortality. EClinicalMedicine, 35, 100863. Available here.
- Haghpanah, F., Lin, G., Levin, S., & Klein, E. Y. (2021). Analysis of the Potential Efficacy and Timing of COVID-19 Vaccine on Morbidity and Mortality. Available at SSRN 3745195. Available here.
- Goodman K, Simner P, Klein E, Kazmi A, Gadala A, Toerper M, et al. (2019). Predicting probability of perirectal colonization with carbapenem-resistant Enterobacteriaceae (CRE) and other carbapenem-resistant organisms (CROs) at hospital unit admission. Infection Control & Hospital Epidemiology. Available here.
- Klein EY, Tseng KK, Hinson J, Goodman KE, Smith A, Toerper M, et al. (2020) The Role of Healthcare Worker-Mediated Contact Networks in the Transmission of Vancomycin-Resistant Enterococci. Open Forum Infectious Diseases. Available here.
- Lin G, Tseng K, Martinez D, Klein E. Multiscale Modeling of Patient Movement to Determine Effects of Surveillance on Healthcare-Associated Infections. (2020). Infection Control & Hospital Epidemiology. Available here.
- Lin G, Strauss AT, Pinz M, Martinez DA, Tseng KK, Schueller E, et al. (2020). Explaining the Bomb-Like Dynamics of COVID-19 with Modeling and the Implications for Policy. Available here.
- Lin G, Hamilton A, Gatalo O, Haghpanah F, Igusa T, Klein E, et al. (2020). Investigating the effects of absolute humidity and human encounters on transmission of COVID-19 in the United States. Epidemiology. Available here.
- Gatalo O, Tseng K, Hamilton A, Lin G, Klein E. (2021). Associations between phone mobility data and COVID-19 cases. The Lancet Infectious Diseases. Available here.
- Lin, G., Hamilton, A., Gatalo, O., Haghpanah, F., Klein, E. (2022) Investigating the effects of absolute humidity and movement on COVID-19 seasonality in the United States. Sci Rep 12, 16729. Available here.