Articles

SIRTEM: Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19

Azad, F. T., Dodge, R. W., Varghese, A. M., Lee, J., Pedrielli, G., Candan, K. S., & Chowell-Puente, G. (2022). Sirtem: Spatially informed rapid testing for epidemic modeling and response to covid-19. ACM Transactions on Spatial Algorithms and Systems, 8(4), 1-43.

https://dl.acm.org/doi/pdf/10.1145/3555310

An Ensemble N-Sub-Epidemic Modeling Framework for Short-Term Forecasting Epidemic Trajectories: Application to the COVID-19 Pandemic in the USA

Chowell G, Dahal S, Tariq A, Roosa K, Hyman JM, Luo R. An ensemble n -sub-epidemic modeling framework for short-term forecasting epidemic trajectories: Application to the COVID-19 pandemic in the USA. PLoS Comput Biol. ;18(10):e1010602. Oct 6, 2022. PMID: 35794886; PMCID: PMC9258290.

https://sccvo.org/media/665

DataStorm: Coupled, Continuous Simulations for Complex Urban Environments

Hans Walter Behrens, K. Selçuk Candan, Xilun Chen, Yash Garg, Mao-Lin Li, Xinsheng Li, Sicong Liu, Maria Luisa Sapino, Md Shadab, Dalton Turner, Magesh Vijayakumaren. DataStorm: Coupled, Continuous Simulations for Complex Urban Environments. ACM/IMS Transactions on Data Science, Volume 2, Issue 3, Article No.: 19, pp 1–37, August 2021, https://doi.org/10.1145/3447572.

https://dl.acm.org/doi/10.1145/3447572

Real-time forecasting the trajectory of monkeypox outbreaks at the national and global levels

Bleichrodt, A., Dahal, S., Maloney, K., Casanova, L., Luo, R., & Chowell, G. (2023). Real-time forecasting the trajectory of monkeypox outbreaks at the national and global levels, July–October 2022. BMC medicine, 21(1), 1-20.

https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-022-02725-2

Comparative epidemiology of five waves of COVID-19 in Mexico

Ascencio-Montiel, I. D. J., Ovalle-Luna, O. D., Rascón-Pacheco, R. A., Borja-Aburto, V. H., & Chowell, G. (2022). Comparative epidemiology of five waves of COVID-19 in Mexico, March 2020–August 2022. BMC Infectious Diseases, 22(1), 1-11.

https://bmcinfectdis.biomedcentral.com/articles/10.1186/s12879-022-07800-w

An investigation of spatial-temporal patterns and predictions of the coronavirus 2019 pandemic in Colombia

Tariq, A., Chakhaia, T., Dahal, S., Ewing, A., Hua, X., Ofori, S. K., ... & Chowell, G. (2022). An investigation of spatial-temporal patterns and predictions of the coronavirus 2019 pandemic in Colombia, 2020–2021. PLOS Neglected Tropical Diseases, 16(3), e0010228.

https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0010228

The doubling time analysis for modified infectious disease Richards model with applications to COVID-19 pandemic 

Smirnova, A., Pidgeon, B., Chowell, G., & Zhao, Y. (2022). The doubling time analysis for modified infectious disease Richards model with applications to COVID-19 pandemic. Mathematical Biosciences and Engineering, 19(3).

https://par.nsf.gov/biblio/10351008

Structural identifiability analysis of epidemic models based on differential equations: A Primer

Chowell, G., Dahal, S., Liyanage, Y. R., Tariq, A., & Tuncer, N. (2022). Structural identifiability analysis of epidemic models based on differential equations: A Primer. arXiv preprint arXiv:2209.12821

https://arxiv.org/abs/2209.12821

Sub-epidemic Model Forecasts During the First Wave of the COVID-19 Pandemic in the USA and European Hotspots

Chowell, G., Rothenberg, R., Roosa, K., Tariq, A., Hyman, J. M., & Luo, R. (2022, February). Sub-epidemic Model Forecasts During the First Wave of the COVID-19 Pandemic in the USA and European Hotspots. In Mathematics of Public Health: Proceedings of the Seminar on the Mathematical Modelling of COVID-19 (pp. 85-137). Cham: Springer International Publishing.

https://link.springer.com/chapter/10.1007/978-3-030-85053-1_5

Parameter identifiability and optimal control of an SARS-CoV-2 model early in the pandemic 

Tuncer, N., Timsina, A., Nuno, M., Chowell, G., & Martcheva, M. (2022). Parameter identifiability and optimal control of an SARS-CoV-2 model early in the pandemic. Journal of Biological Dynamics, 16(1), 412-438.

https://www.tandfonline.com/doi/full/10.1080/17513758.2022.2078899

Transmission dynamics of COVID-19 in Ghana and the impact of public health interventions

Ofori, S. K., Schwind, J. S., Sullivan, K. L., Cowling, B. J., Chowell, G., & Fung, I. C. H. (2022). Transmission dynamics of COVID-19 in Ghana and the impact of public health interventions. The American Journal of Tropical Medicine and Hygiene, 107(1), 175.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294683/

Capstone Project Executive Summary: COVID-19 Modelling and Simulation Research across the World

Tanner Barrong, Simone Johnston, Ahmad Sabti.  COVID-19 Modelling and Simulation Research across the World. Capstone Project Executive Summary. Arizona State University. 2021.

http://www.public.asu.edu/~candan/rtem/capstone_report_summary.pdf

Getting to zero quickly in the 2019-nCov epidemic with vaccines or rapid testing

Gerardo Chowell, Ranu Dhillon, Devabhaktuni Srikrishna. Getting to zero quickly in the 2019-nCov epidemic with vaccines or rapid testing.

https://www.medrxiv.org/content/10.1101/2020.02.03.20020271v1

Transmission potential of COVID-19 in South Korea

Eunha Shim, Amna Tariq, Wongyeong Choi, Yiseul Lee, Gerardo Chowell. Transmission potential of COVID-19 in South Korea. Int J Infect Dis. 2020 Apr; 93: 339–344. Published online 2020 Mar 18. doi: 10.1016/j.ijid.2020.03.031

https://www.medrxiv.org/content/10.1101/2020.02.27.20028829v2

Risk of death by age and gender from CoVID-19 in Peru, March-May, 2020

Cesar Munayco, Gerardo Chowell, Amna Tariq, Eduardo A Undurraga, Kenji Mizumoto. Risk of death by age and gender from CoVID-19 in Peru, March-May, 2020. medRxiv 2020.06.14.20123315; doi: https://doi.org/10.1101/2020.06.14.20123315

https://www.medrxiv.org/content/10.1101/2020.06.14.20123315v1

Understanding Spatial Heterogeneity of COVID-19 Pandemic Using Shape Analysis of Growth Rate Curves

Anuj Srivastava, Gerardo Chowell. Understanding Spatial Heterogeneity of COVID-19 Pandemic Using Shape Analysis of Growth Rate Curves. medRxiv 2020.05.25.20112433; doi: https://doi.org/10.1101/2020.05.25.20112433

https://www.medrxiv.org/content/10.1101/2020.05.25.20112433v2

Case fatality risk by age from COVID-19 in a high testing setting in Latin America: Chile, March-May, 2020

Eduardo A Undurraga, Gerardo Chowell, Kenji Mizumoto. Case fatality risk by age from COVID-19 in a high testing setting in Latin America: Chile, March-May, 2020. medRxiv 2020.05.25.20112904; doi: https://doi.org/10.1101/2020.05.25.20112904

https://www.medrxiv.org/content/10.1101/2020.05.25.20112904v1

Evaluating multi-model and ensemble forecasts in the context of the Mpox outbreak in multiple countries

Bleichrodt, Amanda, et al. "Evaluating multi-model and ensemble forecasts in the context of the Mpox outbreak in multiple countries, July 28th, 2022, through January 19th, 2023." medRxiv(2023): 2023-05.

https://www.medrxiv.org/content/10.1101/2023.05.15.23289989v1

A MATLAB toolbox to fit and forecast growth trajectories using phenomenological growth models: Application to epidemic outbreaks.

Chowell, Gerardo, et al. "A MATLAB toolbox to fit and forecast growth trajectories using phenomenological growth models: Application to epidemic outbreaks." Research Square (2023).

https://pubmed.ncbi.nlm.nih.gov/37034746/