CDDEP was an inaugural site in the formation of the MInD-Healthcare network, which supports innovative transmission modeling research to expand knowledge of what drives the spread of HAI-causative pathogens and estimates the benefits of preventive measures. In addition, sites in the network work collaboratively to increase understanding and response to HAIs and antibiotic-resistant (AR) infections in the US.
CDDEP has conducted and published novel research under three focus areas:
1. Multi-level modeling to inform interventions for control of multidrug-resistant organisms within healthcare networks. As part of the first MInD network, CDDEP developed models to improve understanding of how biological factors associated with the transmission of multidrug-resistant organisms (MDRO) impact interventions to reduce hospital-associated infections (HAIs). This included publications on the frequency of CRE colonization1 as well as the role of networks within and between hospitals in the transmission of AR pathogens2-5.
2. In silico Randomized Control Trial Framework for Assessing Infection Control and Prevention Interventions in the Hospital. The models developed through this proposal will improve understanding of how biological factors associated with the transmission of multidrug-resistant organisms (MDRO) impact interventions to reduce hospital-associated infections (HAIs). This will aid predictions of patients’ risk for colonization and infection, as well as improve understanding of how interventions can most effectively be combined to reduce the likelihood that patients will suffer from these high-consequence pathogens.
3. Modeling the Transmission of COVID-19 and Its Drivers. In addition to AR pathogens, the MInD network focused on COVID-19 related modeling projects including the development of a model of COVID-19 transmission estimating the percentage of asymptomatically infected individuals6, assessments of the impact of vaccination under different scenarios7, the role of humidity and COVID-19 transmission8, a study on mobility data from phones9, as well as supporting the State of Maryland and the Johns Hopkins Hospital Systems’ responses to the COVID-19 pandemic.
- Goodman K, Simner P, Klein E, Kazmi A, Gadala A, Toerper M, et al. Predicting probability of perirectal colonization with carbapenem-resistant Enterobacteriaceae (CRE) and other carbapenem-resistant organisms (CROs) at hospital unit admission. Infection Control & Hospital Epidemiology. 2019 Mar 27;40:1–10
- Klein EY, Tseng KK, Hinson J, Goodman KE, Smith A, Toerper M, et al. The Role of Healthcare Worker-Mediated Contact Networks in the Transmission of Vancomycin-Resistant Enterococci. Open Forum Infectious Diseases [Internet]. 2020 Mar 1 [cited 2021 Feb 23];7(ofaa056). Available from: https://doi.org/10.1093/ofid/ofaa056
- Lin G, Tseng K, Gatalo O, Martinez D, Hinson J, Milstone A, et al. Cost-effectiveness of Carbapenem-resistant Enterobacteriaceae (CRE) Surveillance in Maryland. (under review). 2020;
- Lin G, Tseng K, Martinez D, Klein E. Multiscale Modeling of Patient Movement to Determine Effects of Surveillance on Healthcare-Associated Infections. Infection Control & Hospital Epidemiology. 2020/11/02 ed. 2020;41(S1):s325–s325.
- Martinez D, Lin G, Cai J, Goodman K, Paul R, Lessler J, et al. Association of Contact Precautions with Acquisition of Carbapenem-Resistant Organisms in Two Tertiary High Acuity Units. for the CDC Prevention Epicenters Program and the CDC MinD-Healthcare Program; 2021.
- Lin G, Strauss AT, Pinz M, Martinez DA, Tseng KK, Schueller E, et al. Explaining the Bomb-Like Dynamics of COVID-19 with Modeling and the Implications for Policy. medRxiv. 2020 Apr 7;2020.04.05.20054338.
- Haghpanah F, Lin G, Levin S, Klein E. Analysis of the Potential Efficacy and Timing of COVID-19 Vaccine on Morbidity and Mortality. Preprints with The Lancet. 2021 Jan 8;25.
- Lin G, Hamilton A, Gatalo O, Haghpanah F, Igusa T, Klein E, et al. Investigating the effects of absolute humidity and human encounters on transmission of COVID-19 in the United States [Internet]. Epidemiology; 2020 Nov [cited 2021 Jan 15]. Available from: http://medrxiv.org/lookup/doi/10.1101/2020.10.30.20223446
- Gatalo O, Tseng K, Hamilton A, Lin G, Klein E. Associations between phone mobility data and COVID-19 cases. The Lancet Infectious Diseases [Internet]. [cited 2021 Feb 23]; Available from: https://doi.org/10.1016/S1473-3099(20)30725-8