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John Glasser

Mathematical Epidemiologist

Education

Affiliations

Bio

John Glasser studied biology, population biology, and epidemiology and biostatistics at Princeton, Duke and Harvard Universities, respectively. He was an Epidemic Intelligence Service officer in the Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, and a post-doctoral fellow of the late Richard Levins’ in mathematical biology at Harvard. Since 2000, he has assisted in designing or evaluating and occasionally improving strategies for mitigating infectious diseases at home and abroad by modeling influenza, measles, pertussis, rubella, SARS, smallpox, and simultaneously, varicella and zoster. He has been consulted by the CDCs in Beijing, China, and Taiwan, the Ministries of Health in Costa Rica and the Brazilian State of São Paulo, the Public Health Institute in Romania, the Swedish Institute for Communicable Disease Control, and the World Health Organization. Currently he serves as a mathematical epidemiologist in the National Center for Immunization and Respiratory Diseases and member of the graduate faculties of Population Biology, Ecology and Evolution at Emory University and of Mathematics at Purdue University.

Preferred Pronouns

He/him/his

Personal Academic Website

Research/Topics of Interest

Apply models to public health
Between-host modeling
Compartmental models
Forecasting
Mobility
Network models
New methods development
Public health application of models
Public health policy/interventions
Social networks/contact patterns
Spatial transmission patterns
Statistical models
Time-series models
Vaccines
design or evaluation of interventions
realistic mixing
vaccine-preventable diseases
meta-population modeling

Pathogens/Diseases of Main Interest/Expertise

COVID-19
Ebola
Measles
Pandemic influenza
Respiratory diseases
Season influenza
Sexually transmitted diseases
Vaccine-preventable diseases
pertussis
rubella
SARS
smallpox
varicella/zoster

Countries of Work/Collaboration

Sweden

Projects

Papers

Glasser JW, Feng Z, Vo M, Jones JN, Clarke KEN. (2022). Analysis of Serological Surveys of Antibodies to SARS-CoV-2 in the United States to Estimate Parameters Needed for Transmission Modeling and to Evaluate and Improve the Accuracy of Predictions. Journal of theoretical biology

Su Q, Feng Z, Hao L, Ma C, Hagan JE, Grant GB, Wen N, Fan C, Yang H, Rodewald LE, Wang H, Glasser JW. (2021). Assessing the burden of congenital rubella syndrome in China and evaluating mitigation strategies: a metapopulation modelling study. The Lancet. Infectious diseases

Feng Z, Glasser JW, Hill AN. (2020). On the benefits of flattening the curve: A perspective. Mathematical biosciences, (326)

Feng Z, Feng Y, Glasser JW. (2020). Influence of demographically-realistic mortality schedules on vaccination strategies in age-structured models. Theoretical population biology, (132)

Carlsson RM, Childs LM, Feng Z, Glasser JW, Heffernan JM, Li J, Röst G. (2020). Modeling the waning and boosting of immunity from infection or vaccination. Journal of theoretical biology

Feng Z, Glasser JW. (2019). ESTIMATING AGE-SPECIFIC HAZARD RATES OF INFECTION FROM CROSS-SECTIONAL OBSERVATIONS. Revista de matematica : teoria y aplicaciones, 27(1)

Hao L, Glasser JW, Su Q, Ma C, Feng Z, Yin Z, Goodson JL, Wen N, Fan C, Yang H, Rodewald LE, Feng Z, Wang H. (2019). Evaluating vaccination policies to accelerate measles elimination in China: a meta-population modelling study. International journal of epidemiology, 48(4)

Hao L, Glasser JW, Su Q, Ma C, Feng Z, Yin Z, Goodson JL, Wen N, Fan C, Yang H, Rodewald LE, Feng Z, Wang H. (2019). Evaluating vaccination policies to accelerate measles elimination in China: a meta-population modelling study. International journal of epidemiology, 48(4)

Alfaro-Murillo JA, Feng Z, Glasser JW. (2019). Analysis of an epidemiological model structured by time-since-last-infection. Journal of differential equations, 267(10)

Poghotanyan G, Feng Z, Glasser JW, Hill AN. (2018). Constrained minimization problems for the reproduction number in meta-population models. Journal of mathematical biology, 77(6-7)

Huang WT, Chen RT, Hsu YC, Glasser JW, Rhodes PH. (2017). Vaccination and unexplained sudden death risk in Taiwanese infants. Pharmacoepidemiology and drug safety, 26(1)

Feng Z, Hill AN, Curns AT, Glasser JW. (2017). Evaluating targeted interventions via meta-population models with multi-level mixing. Mathematical biosciences, (287)

Glasser JW, Feng Z, Omer SB, Smith PJ, Rodewald LE. (2016). The effect of heterogeneity in uptake of the measles, mumps, and rubella vaccine on the potential for outbreaks of measles: a modelling study. The Lancet. Infectious diseases, 16(5)

Steele MK, Remais JV, Gambhir M, Glasser JW, Handel A, Parashar UD, Lopman BA. (2016). Targeting pediatric versus elderly populations for norovirus vaccines: a model-based analysis of mass vaccination options. Epidemics, (17)

Feng Z, Zheng Y, Hernandez-Ceron N, Zhao H, Glasser JW, Hill AN. (2016). Mathematical models of Ebola-Consequences of underlying assumptions. Mathematical biosciences, (277)

Feng Z, Han Q, Qiu Z, Hill AN, Glasser JW. (2016). COMPUTATION OF ℛ IN AGE-STRUCTURED EPIDEMIOLOGICAL MODELS WITH MATERNAL AND TEMPORARY IMMUNITY. Discrete and continuous dynamical systems. Series B, 21(2)

Fung IC, Gambhir M, Glasser JW, Gao H, Washington ML, Uzicanin A, Meltzer MI. (2015). Modeling the effect of school closures in a pandemic scenario: exploring two different contact matrices. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, (60 Suppl 1)

Feng Z, Hill AN, Smith PJ, Glasser JW. (2015). An elaboration of theory about preventing outbreaks in homogeneous populations to include heterogeneity or preferential mixing. Journal of theoretical biology, (386)

Alvey C, Feng Z, Glasser J. (2015). A model for the coupled disease dynamics of HIV and HSV-2 with mixing among and between genders. Mathematical biosciences, (265)

Feng Z, Glasser JW, Hill AN, Franko MA, Carlsson RM, Hallander H, Tüll P, Olin P. (2014). Modeling rates of infection with transient maternal antibodies and waning active immunity: application to Bordetella pertussis in Sweden. Journal of theoretical biology, (356)

Feng Z, Qiu Z, Sang Z, Lorenzo C, Glasser J. (2013). Modeling the synergy between HSV-2 and HIV and potential impact of HSV-2 therapy. Mathematical biosciences, 245(2)

Lopman BA, Pitzer VE, Sarkar R, Gladstone B, Patel M, Glasser J, Gambhir M, Atchison C, Grenfell BT, Edmunds WJ, Kang G, Parashar UD. (2012). Understanding reduced rotavirus vaccine efficacy in low socio-economic settings. PloS one, 7(8)

Foster SO, Hughes K, Tarantola D, Glasser JW. (2011). Smallpox eradication in Bangladesh, 1972-1976. Vaccine, (29 Suppl 4)

Hankins CA, Glasser JW, Chen RT. (2011). Modeling the impact of RV144-like vaccines on HIV transmission. Vaccine, 29(36)

Glasser JW, Hupert N, McCauley MM, Hatchett R. (2011). Modeling and public health emergency responses: lessons from SARS. Epidemics, 3(1)

Glasser J, Feng Z, Moylan A, Del Valle S, Castillo-Chavez C. (2012). Mixing in age-structured population models of infectious diseases. Mathematical biosciences, 235(1)

Glasser J, Taneri D, Feng Z, Chuang JH, Tüll P, Thompson W, Mason McCauley M, Alexander J. (2010). Evaluation of targeted influenza vaccination strategies via population modeling. PloS one, 5(9)

Feng Z, Yang Y, Xu D, Zhang P, McCauley MM, Glasser JW. (2009). Timely identification of optimal control strategies for emerging infectious diseases. Journal of theoretical biology, 259(1)

Pitzer VE, Viboud C, Simonsen L, Steiner C, Panozzo CA, Alonso WJ, Miller MA, Glass RI, Glasser JW, Parashar UD, Grenfell BT. (2009). Demographic variability, vaccination, and the spatiotemporal dynamics of rotavirus epidemics. Science (New York, N.Y.), 325(5938)

Curns AT, Coffin F, Glasser JW, Glass RI, Parashar UD. (2009). Projected Impact of the new rotavirus vaccination program on hospitalizations for gastroenteritis and rotavirus disease among US children <5 years of age during 2006-2015. The Journal of infectious diseases, (200 Suppl 1)

Barskey AE, Glasser JW, LeBaron CW. (2009). Mumps resurgences in the United States: A historical perspective on unexpected elements. Vaccine, 27(44)

Glasser JW, Foster SO, Millar JD, Lane JM. (2008). Evaluating public health responses to reintroduced smallpox via dynamic, socially structured, and spatially distributed metapopulation models. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, (46 Suppl 3)

Kennedy A, Glasser J, Covello V, Gust D. (2008). Development of vaccine risk communication messages using risk comparisons and mathematical modeling. Journal of health communication, 13(8)

Dayan GH, Iskander J, Glasser J, English-Bullard R, Fullerton KE, Chen R. (2005). Tracking vaccine lot lifecycles using reports to the vaccine adverse event reporting system (VAERS). Pharmacoepidemiology and drug safety, 14(10)

Best JM, Castillo-Solorzano C, Spika JS, Icenogle J, Glasser JW, Gay NJ, Andrus J, Arvin AM. (2005). Reducing the global burden of congenital rubella syndrome: report of the World Health Organization Steering Committee On Research Related To Measles and Rubella Vaccines and Vaccination, June 2004. The Journal of infectious diseases, 192(11)

Malakmadze N, Zimmerman LA, Uzicanin A, Shteinke L, Caceres VM, Kasymbekova K, Sozina I, Glasser JW, Joldubaeva M, Aidyralieva C, Icenogle JP, Strebel PM, Reef SE. (2004). Development of a rubella vaccination strategy: contribution of a rubella susceptibility study of women of childbearing age in Kyrgyzstan, 2001. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 38(12)

Glasser J, Meltzer M, Levin B. (2004). Mathematical modeling and public policy: responding to health crises. Emerging infectious diseases, 10(11)

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