Welcome to Jeff's awesome webpage!



I am an infectious disease epidemiologist with training in Medicine (Amsterdam) and Global Disease Epidemiology (Johns Hopkins). I am Assistant Professor in the Departments of Epidemiology and Biomedical Informatics. My research in the fields of computational epidemiology and population health informatics aims to improve the efficient use of information for public health action. I aim to improve the discovery and integration of data for population health research, both by humans and machines. I also use large-scale public health data to study the spatial-temporal spread of infectious diseases. I lead multiple large-scale population health informatics projects, including Project Tycho, an open-access repository for global disease surveillance data (NEJM, New York Times, Wall Street Journal). I also direct the Coordination Center of the Models of Infectious Disease Agents Study (MIDAS) funded by the National Institute of General Medical Sciences. MIDAS is a global network for infectious disease modeling central to the current COVID-19 modeling response. We work with researchers around the world and with health agencies, including the US Centers for Disease Control and the World Health Organization. My disease expertise concentrates on vaccine-preventable diseases and vector borne diseases in countries around the world (NEJM, PNAS, NIH Director’s Blog).




2004 | Free University Medical Center, Amsterdam, Netherlands| MD
2009 | Johns Hopkins Bloomberg School of Public Health, Baltimore, MD | PhD
2010 | Phi Beta Kappa




EPID 2163 Global Epidemiology of Vaccines and Vaccination (primary instructor). 

EPID 2160 Infectious Disease Epidemiology (co-instructor).

BIOINF 2011 Foundations of Clinical and Public Health Informatics (guest lecturer).

I  mentor numerous students at the undergraduate, graduate, and postgraduate levels. Feel free to contact me if you are interested in working together!. 




2019-2024: NIGMS U24 Grant (PI). Models of Infectious Disease Agent Study Coordination Center.

2019: WHO Grant (PI). Creating a country-specific online dashboard to track progress of Human Papillomavirus elimination.

2015-Present: NIH Big Data to Knowledge Career Development Award (PI). Data integration for global population health through dynamic models. Standardizing and integrating heterogeneous public health data through epidemic simulators.




Both Project Tycho and the MIDAS Network Coordination Center will have opportunities for practicums and reserach experiences at the graduate and undergraduate level. Contact me or one of our team members for more information. 





Global health informatics


Van Panhuis WG, Cross A, Burke DS. Project Tycho 2.0: A repository to improve the integration and reuse of data for global population health. JAMIA 2018 Dec;25(12): 1608–1617.


The availability and consistency of dengue surveillance data provided online by the World Health Organization.Ruberto I, Marques E, Burke DS, Van Panhuis WG. PLoS Negl Trop Dis. 2015 Apr 14;9(4):e0003511.


A systematic review of barriers to data sharing in public health.van Panhuis WG, Paul P, Emerson C, Grefenstette J, Wilder R, Herbst AJ, Heymann D, Burke DS. BMC Public Health. 2014 Nov 5;14:1144


Vaccine-preventable diseases and vaccine impact


Willem G. van Panhuis, John Grefenstette, Su Yon Jung, Nian Shong Chok, Anne Cross, Heather Eng, Bruce Y Lee, Vladimir Zadorozhny, Shawn Brown, Derek Cummings, Donald S. Burke. Contagious diseases in the United States from 1888 to the present. NEJM 2013:369(22):2152-2158.


Paternina-Caicedo AJ, Driessen J, Roberts M, Van Panhuis WG. Heterogeneity between states of the health and economic impact of measles immunization in the United States. Open Forum Infect Dis. 2018 Jun 16;5(7): ofy137.


Brownwright T, Dodson Z, Van Panhuis WG. Spatial clustering of measles vaccination coverage among children in Sub-Saharan Africa BMC Public Health 2017 Dec 15;17(1):957. doi: 10.1186/s12889-017-4961-9


Transmission of vector-borne diseases


España G, Grefenstette J, Perkins TA, Torres C, Campo-Carey A, Diaz H, De la Hoz F, Burke DS, Van Panhuis WG. Exploring scenarios of chikungunya mitigation with a data-driven agent-based model of the 2014–2016 outbreak in Colombia. Nature Sci Rep. 2018 Aug 15;8(1): 12201.


Region-wide synchrony and traveling waves of dengue across eight countries in Southeast Asia.van Panhuis WG, Choisy M, Xiong X, Chok NS, Akarasewi P, Iamsirithaworn S, Lam SK, Chong CK, Lam FC, Phommasak B, Vongphrachanh P, Bouaphanh K, Rekol H, Hien NT, Thai PQ, Duong TN, Chuang JH, Liu YL, Ng LC, Shi Y, Tayag EA, Roque VG Jr, Lee Suy LL, Jarman RG, Gibbons RV, Velasco JM, Yoon IK, Burke DS, Cummings DA. Proc Natl Acad Sci U S A. 2015 Oct 20;112(42):13069-74.


Willem G. van Panhuis, Sangwon Hyun, Kayleigh Blaney, Ernesto T.A. Marques Jr, Giovanini E. Coelho, João Bosco Siqueira Jr., Ryan Tibshirani, Ph.D, Jarbas B. da Silva Jr., Roni Rosenfeld. Risk of dengue for tourists and teams during the World Cup 2014 in Brazil. PLOS NTD 2014;8(7): e3063.


Data mining and Big Data applications


Song HA, Yang F, Liu Z, Van Panhuis WG, Sidiropoulos N, Faloutsos C, and Zadorozhny V. GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series. Data Mining in Biomedical Informatics and Healthcare (DMBIH) Conference Nov 2017.


Herlands W, Wilson A,Nickisch H, Flaxman S, Neill D, Van Panhuis WG, Xing E. Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. AISTATS Conference 2016.


Yasuko Matsubara, Yasushi, Sakurai, Willem G. van Panhuis, Christos Faloutsos. FUNNEL: Automatic Mining of Spatially Coevolving Epidemics. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, August 24–27, 2014, New York, NY, USA: 105-114.


Dengue virus population immunity


Van Panhuis WG, Luxemburger C, Pengsaa K, Limkittikul K, Sabchareon A, Lang J, Durbin AP, Cummings DA. Decay and persistence of maternal dengue antibodies among infants in Bangkok. Am J Trop Med Hyg. 2011 Aug;85(2):355-62


Van Panhuis WG, Gibbons RV, Endy TP, Rothman AL, Srikiatkhachorn A, Nisalak A, Burke DS, Cummings DA.Inferring the serotype associated with dengue virus infections on the basis of pre- and postinfection neutralizing antibody titers.J Infect Dis. 2010 Oct 1;202(7):1002-10.




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