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College of Liberal Arts & Sciences Department of Statistics

Pamela Martinez

Assistant Professor

Research Interests

Research Topics

Computational Biology, Host-Pathogen Interactions

Disease Research Interests

Infectious Diseases

Research Description

My scientific interest lies at the intersection of biological and epidemiological mechanisms that govern the population dynamics of infectious diseases. My group uses mathematical and statistical approaches to investigate the effects of pathogen diversity, host heterogeneity, and environmental factors on the transmission and control of human pathogens. We are particularly interested in the following aims:

  • Understand the emergence and maintenance of pathogen diversity and its impacts on disease control. We especially focus on how reassortment and immune responses affect rotavirus dynamics in endemic settings and interfere with public health interventions.
  • Disentangle the effects of sociodemographic factors on viral disease transmission. By examining how age, race/ethnicity, income, and/or past exposures impact the transmission of different pathogens, we can better understand how population heterogeneity influences disease dynamics.
  • Understand within-host dynamics of viral infections and their implications for disease transmission and severity. We aim to characterize individual-level heterogeneity in infectiousness across different respiratory infections to further investigate viral shedding and clearance dynamics.
  • Quantify the impact of temperature and specific humidity on the seasonality and long-term dynamics of acute infections. By fitting long time series of disease incidence to mechanistic models of transmission, we can measure the interannual effect of environmental drivers on the seasonality of climate-sensitive diseases.

Additional Campus Affiliations

Assistant Professor, Microbiology
Assistant Professor, Statistics
Assistant Professor, Center for Latin American and Caribbean Studies

Recent Publications

Kostandova, N., Schluth, C., Arambepola, R., Atuhaire, F., Bérubé, S., Chin, T., Cleary, E., Cortes-Azuero, O., García-Carreras, B., Grantz, K. H., Hitchings, M. D. T., Huang, A. T., Kishore, N., Lai, S., Larsen, S. L., Loisate, S., Martinez, P., Meredith, H. R., Purbey, R., ... Wesolowski, A. (2024). A systematic review of using population-level human mobility data to understand SARS-CoV-2 transmission. Nature communications, 15(1), Article 10504. https://doi.org/10.1038/s41467-024-54895-7

Mahmud, A. S., Bhattacharjee, J., Baker, R. E., & Martinez, P. P. (2024). Alarming trends in dengue incidence and mortality in Bangladesh. The Journal of infectious diseases, 229(1), 4-6. Article jiad529. https://doi.org/10.1093/infdis/jiad529

Larsen, S. L., Shin, I., Joseph, J., West, H., Anorga, R., Mena, G. E., Mahmud, A. S., & Martinez, P. P. (2023). Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control. Science Advances, 9(31), Article eadh9920. https://doi.org/10.1126/sciadv.adh9920

Mahmud, A. S., Martinez, P. P., & Baker, R. E. (2023). The impact of current and future climates on spatiotemporal dynamics of influenza in a tropical setting. PNAS Nexus, 2(9), Article pgad307. https://doi.org/10.1093/pnasnexus/pgad307

Ke, R., Martinez, P. P., Smith, R. L., Gibson, L. L., Mirza, A., Conte, M., Gallagher, N., Luo, C. H., Jarrett, J., Zhou, R., Conte, A., Liu, T., Farjo, M., Walden, K. K. O., Rendon, G., Fields, C. J., Wang, L., Fredrickson, R., Edmonson, D. C., ... Brooke, C. B. (2022). Daily longitudinal sampling of SARS-CoV-2 infection reveals substantial heterogeneity in infectiousness. Nature Microbiology, 7(5), 640-652. https://doi.org/10.1101/2021.07.12.21260208, https://doi.org/10.1038/s41564-022-01105-z

View all publications on Illinois Experts

College of Liberal Arts & Sciences Department of Statistics

Computing Applications Building, Room 156

605 E. Springfield Ave.

Champaign, IL 61820

(217) 333-2167

Email: stat-office@illinois.edu

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