Ehsan Jahanpour

ORCID: 0000-0003-0653-7645
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About
Contact & Profiles
Research Areas
  • Opinion Dynamics and Social Influence
  • Smart Grid Energy Management
  • Data-Driven Disease Surveillance
  • Electric Vehicles and Infrastructure
  • Complex Network Analysis Techniques
  • Autopsy Techniques and Outcomes
  • Statistical Methods in Clinical Trials
  • Actinomycetales infections and treatment
  • Antifungal resistance and susceptibility
  • Energy Harvesting in Wireless Networks
  • Healthcare Policy and Management
  • Integrated Energy Systems Optimization
  • Evolutionary Game Theory and Cooperation
  • Fungal Infections and Studies
  • Advanced Statistical Process Monitoring
  • Stochastic processes and statistical mechanics
  • Global Cancer Incidence and Screening

Missouri Department of Health and Senior Services
2014-2017

Monsanto (United States)
2016

Southern Illinois University Edwardsville
2013-2014

10.1016/j.cnsns.2013.04.030 article EN Communications in Nonlinear Science and Numerical Simulation 2013-05-15

Reporting causes of death accurately is essential to public health and hospital-based programs; however, some U.S. studies have identified substantial inaccuracies in cause reporting. Using CDC's national inpatient hospital rates as a benchmark, the Missouri Department Health Senior Services (DHSS) analyzed reported by hospitals with high St. Louis Kansas City metro areas. Among selected rates, 45.8% certificates indicated an underlying that was inconsistent Guidelines for Death Certificate...

10.15585/mmwr.mm6601a5 article EN MMWR Morbidity and Mortality Weekly Report 2017-01-12

Statistical challenges in monitoring modern biosurveillance data are well described the literature. Even though assumptions of normality, independence, and stationarity typically violated data, statistical process control (SPC) charts adopted from industry have been widely used public health for communicable disease monitoring. But, blind usage SPC that ignores characteristics surveillance may result poor detection outbreaks and/or excessive false-positive alarms. Thus, improved systems...

10.1155/2014/673293 article EN cc-by Journal of Applied Mathematics 2014-01-01

10.1016/j.ijpe.2016.09.010 article EN International Journal of Production Economics 2016-09-29

Structure of a complex network provides important information about its performance and may be used to predict changes in performance. Degree distributions are model the structure. Four degree distributions, including power law, Weibull, Poisson, negative binomial, applied this research three networks, Krebs, HIV, Power Grid networks. To improveaccuracy modeling, maximum likelihood estimation method expectation-maximization algorithm estimate parameters four distributions. Several...

10.5890/dnc.2014.06.006 article EN The interdisciplinary journal of Discontinuity Nonlinearity and Complexity 2014-06-01

Regression analysis is used to fit a periodic model weekly disease counts for reportable diseases in Missouri. These trigonometric models are then obtain upper control limits the number of cases that would lead an outbreak signal. The methods, including graphics, implemented open source statistical package R.

10.5210/ojphi.v6i1.5070 article EN cc-by Online Journal of Public Health Informatics 2014-03-09
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