Our Publications

  1. Nia, Z. M., Bragazzi, N. L., Wu, J., & Kong, J. D. (2023). A Twitter dataset for Monkeypox, May 2022. Data in Brief, 48, 109118.
  2. Avusuglo, W. S., Han, Q., Woldegerima, W. A., Bragazzi, N., Asgary, A., Ahmadi, A., … & Kong, J. D. (2023). Impact assessment of self-medication on COVID-19 prevalence in Gauteng, South Africa, using an age-structured disease transmission modelling framework.
  3. Movahedi Nia, Z., Bragazzi, N., Asgary, A., Orbinski, J., Wu, J., & Kong, J. (2023). Mpox Panic, Infodemic, and Stigmatization of the Two-Spirit, Lesbian, Gay, Bisexual, Transgender, Queer or Questioning, Intersex, Asexual Community: Geospatial Analysis, Topic Modeling, and Sentiment Analysis of a Large, Multilingual Social Media Database. Journal of Medical Internet Research, 25, e45108.
  4. Bragazzi, N. L., Han, Q., Iyaniwura, S. A., Omame, A., Shausan, A., Wang, X., … & Kong, J. D. (2023). Adaptive changes in sexual behavior in the high‐risk population in response to human monkeypox transmission in Canada can help control the outbreak: insights from a two‐group, two‐route epidemic model. Journal of Medical Virology.
  5. Puce, L., Okwen, P., Yuh, M. N., Akah, G., Pambe Miong, R. H., Kong, J., & Bragazzi, N. L. (2023). Well-being and quality of life in people with disabilities practicing sports, athletes with disabilities, and para-athletes: Insights from a critical review of the literature. Frontiers in Psychology, 14, 242.
  6. Kong, J. D., Akpudo, U. E., Effoduh, J. O., & Bragazzi, N. L. (2023, February). Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South. In Healthcare (Vol. 11, No. 4, p. 457). MDPI.
  7. Wu, T., Imrit, M. A., Movahedinia, Z., Kong, J., Woolway, R. I., & Sharma, S. (2023). Climate tracking by freshwater fishes suggests that fish diversity in temperate lakes may be increasingly threatened by climate warming. Diversity and Distributions, 29(2), 300-315.
  8. Lieberman, B., Kong, J. D., Gusinow, R., Asgary, A., Bragazzi, N. L., Choma, J., … & Mellado, B. (2023). Big data-and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. BMC Medical Informatics and Decision Making, 23(1), 19.
  9. Ogbuokiri, B., Ahmadi, A., Nia, Z. M., Mellado, B., Wu, J., Orbinski, J., … & Kong, J. (2023). Vaccine hesitancy hotspots in africa: An insight from geotagged twitter posts. IEEE Transactions on Computational Social Systems.
  10. Ogbuokiri, B., Ahmadi, A., Tripathi, N., Movahedi, Z., Melado, B., Wu, J., … & Kong, J. (2023). The Impact of Omicron Variant in Vaccine Uptake in South Africa.
  11. Kong, J. D., Fevrier, K., Effoduh, J. O., & Bragazzi, N. L. (2023). Artificial Intelligence, Law, and Vulnerabilities. In AI and Society (pp. 179-196). Chapman and Hall/CRC.
  12. Bragazzi, N. L., Han, Q., Iyaniwura, S. A., Omame, A., Shausan, A., Wang, X., … & Kong, J. D. (2023). Adaptive changes in sexual behavior in the high‐risk population in response to human monkeypox transmission in Canada can help control the outbreak: insights from a two‐group, two‐route epidemic model. Journal of Medical Virology.
  13. Iyaniwura, S. A., Musa, R., & Kong, J. D. (2023). A generalized distributed delay model of COVID-19: An endemic model with immunity waning. Mathematical Biosciences and Engineering, 20(3), 5379-5412.
  14. Bragazzi, N. L., Kong, J. D., & Wu, J. (2023). Is monkeypox a new, emerging sexually transmitted disease? A rapid review of the literature. Journal of Medical Virology, 95(1), e28145.
  15. Bragazzi, N. L., Kong, J. D., Mahroum, N., Tsigalou, C., Khamisy‐Farah, R., Converti, M., & Wu, J. (2023). Epidemiological trends and clinical features of the ongoing monkeypox epidemic: A preliminary pooled data analysis and literature review. Journal of medical virology, 95(1), e27931.
  16. Kong, J. D., Akpudo, U. E., Effoduh, J. O., & Bragazzi, N. L. (2023, February). Leveraging Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South. In Healthcare (Vol. 11, No. 4, p. 457). MDPI.
  17. Habees, A. A., Aldabbas, E., Bragazzi, N. L., & Kong, J. D. (2022). Bacteria–bacteriophage cycles facilitate Cholera outbreak cycles: an indirect Susceptible-Infected-Recovered-Bacteria-Phage (iSIRBP) model-based mathematical study. Journal of Biological Dynamics, 16(1), 29-43.
  18. Ahmed, H., Cargill, T., Bragazzi, N., & Kong, J. (2022). Dataset of non-pharmaceutical interventions and community support measures across Canadian universities and colleges during COVID-19 in 2020. Frontiers in Public Health, 10.
  19. Alavinejad, M., Mellado, B., Asgary, A., Mbada, M., Mathaha, T., Lieberman, B., … & Kong, J. D. (2022). Management of hospital beds and ventilators in the Gauteng province, South Africa, during the COVID-19 pandemic. PLOS Global Public Health, 2(11), e0001113.
  20. Alavinejad, M., Mellado, B., Asgary, A., Mbada, M., Mathaha, T., Lieberman, B., … & Kong, J. D. (2022). Management of Healthcare Resources in the Gauteng Province, South Africa, During the COVID-19 Pandemic. South Africa, During the COVID-19 Pandemic (March 3, 2022).
  21. Avusuglo, W., Han, Q., Woldegerima, W. A., Asgary, A., Wu, J., Orbinski, J., … & Kong, J. D. COVID-19 and Malaria Co-Infection: Do Stigmatization and Self-Medication Matter? A Case for Nigeria.
  22. Avusuglo, W., Bragazzi, N. L., Asgary, A., Orbinski, J., Wu, J., & Kong, J. D. (2021). The Role of Behavioral Compliance to Non-Pharmaceutical and Pharmaceutical Interventions in the Fight Against COVID-19: Insights From a Behavior-Disease Economic Epidemic Model Coupled With Optimal Control Theory. Available at SSRN 3922118.
  23. Avusuglo, W., Han, Q., Woldegerima, W. A., Bragazzi, N. L., Ahmadi, A., Asgary, A., … & Kong, J. D. (2022). Covid-19 and malaria co-infection: do stigmatization and self-medication matter? a mathematical modelling study for nigeria. A mathematical modelling study for Nigeria (April 21, 2022).
  24. Behzadifar, M., Aalipour, A., Kehsvari, M., Darvishi Teli, B., Ghanbari, M. K., Gorji, H. A., … & Bragazzi, N. L. (2022). The effect of COVID-19 on public hospital revenues in Iran: An interrupted time-series analysis. Plos one, 17(3), e0266343.
  25. Bragazzi, N. L., Bridgewood, C., Watad, A., Damiani, G., Kong, J. D., & McGonagle, D. (2022). Harnessing big data, smart and digital technologies and artificial intelligence for preventing, early intercepting, managing, and treating psoriatic arthritis: Insights from a systematic review of the literature. Frontiers in Immunology, 13, 328.
  26. Bragazzi, N. L., Garbarino, S., Puce, L., Trompetto, C., Marinelli, L., Currà, A., … & Kong, J. D. (2022). Planetary sleep medicine: Studying sleep at the individual, population, and planetary level. Frontiers in Public Health, 10.
  27. Bragazzi, N. L., Han, Q., Iyaniwura, S. A., Omame, A., Shausan, A., Wang, X., … & Kong, J. D. (2022). Adaptive changes in sexual behavior in the high-risk population in response to human monkeypox transmission in Canada can control the outbreak: insights from a two-group, two-route epidemic model. Available at SSRN 4202918.
  28. Bragazzi, N. L., Kong, J. D., & Wu, J. (2022). A tale of two (and more) stories: smallpox-monkeypox viruses (HIV, and other sexually transmitted disesases) interaction dynamics. ResearchGate Project: 2022 Monkeypox Epidemic.
  29. Bragazzi, N. L., Kong, J. D., & Wu, J. (2022). Integrated epidemiological, clinical, and molecular evidence points to an earlier origin of the current monkeypox outbreak and a complex route of exposure. Available at SSRN.
  30. Bragazzi, N. L., Kong, J. D., & Wu, J. (2022). Monkeypox and laboratory medicine: more data are urgenty needed. ResearchGate Preprint.
  31. Bragazzi, N. L., Woldegerima, W. A., Iyaniwura, S. A., Han, Q., Wang, X., Shausan, A., … & Kong, J. D. (2022). Knowing the unknown: The underestimation of monkeypox cases. Insights and implications from an integrative review of the literature. Frontiers in Microbiology, 13.
  32. Bragazzi, N. L., Kong, J. D., Mahroum, N., Tsigalou, C., Khamisy‐Farah, R., Converti, M., & Wu, J. (2023). Epidemiological trends and clinical features of the ongoing monkeypox epidemic: A preliminary pooled data analysis and literature review. Journal of medical virology, 95(1), e27931.
  33. Chen, R., Safiri, S., Behzadifar, M., Kong, J. D., Zguira, M. S., Bragazzi, N. L., … & Zhang, W. (2022). Health Effects of Metabolic Risks in the United States From 1990 to 2019. Frontiers in public health, 10, 21.
  34. Dai, H., Younis, A., Kong, J. D., Puce, L., Jabbour, G., Yuan, H., & Bragazzi, N. L. (2022). Big data in cardiology: State-of-art and future prospects. Frontiers in Cardiovascular Medicine, 9, 844296.
  35. Duhon, J., Bragazzi, N., & Kong, J. D. (2021). The impact of non-pharmaceutical interventions, demographic, social, and climatic factors on the initial growth rate of COVID-19: A cross-country study. The Science of the total environment, 760, 144325.
  36. Fabris-Rotelli, I., Holloway, J. P., Kimmie, Z., Archibald, S., Debba, P., Manjoo-Docrat, R., … & Thiede, R. (2022). A spatial SEIR model for COVID-19 in South Africa.
  37. Guelmami N, Chalghaf N, Wu J, Kong JD, Mellado B, Jahrami H, Ben Khalifa M, Amayra T, Azaiez F, Bragazzi NL. (2021). Social Media COVID-19 Information and Vaccine Decision: A Latent Class Analysis. Available at SSRN 3841301.
  38. Guelmami, N., Ben Khalifa, M., Chalghaf, N., Kong, J. D., Amayra, T., Wu, J., … & Bragazzi, N. L. (2021). Development of the 12-item Social Media Disinformation Scale and its association with social media addiction and mental health related to COVID-19 in Tunisia: Survey-based pilot case study. JMIR Formative Research, 5(6), e27280.
  39. Guelmami, N., Tannoubi, A., Chalghaf, N., Saidane, M., Kong, J., Puce, L., … & Alroobaea, R. (2022). Latent Profile Analysis to Survey Positive Mental Health and Well-Being: A Pilot Investigation Insight Tunisian Facebook Users. Frontiers in Psychiatry, 13.
  40. Habees, A. A., Aldabbas, E., Bragazzi, N. L., & Kong, J. D. (2022). Bacteria–bacteriophage cycles facilitate Cholera outbreak cycles: an indirect Susceptible-Infected-Recovered-Bacteria-Phage (iSIRBP) model-based mathematical study. Journal of Biological Dynamics, 16(1), 29-43.
  41. Han, Q., Bragazzi, N. L., Asgary, A., Orbinski, J., Wu, J., & Kong, J. D. (2022). Estimation of epidemiological parameters and ascertainment rate from early transmission of COVID-19 across Africa. Available at SSRN 4131409.
  42. Iyaniwura, S. A., Rabiu, M., David, J. F., & Kong, J. D. (2022). The basic reproduction number of COVID-19 across Africa. Public Library of Science, 17(2), e0264455.
  43. Kazemi, M., Bragazzi, N. L., & Kong, J. D. (2022). Assessing inequities in COVID-19 vaccine roll-out strategy programs: a cross-country study using a machine learning approach. Vaccines, 10(2), 194.
  44. Kong, J. D., Tchuendom, R. F., Adeleye, S. A., David, J. F., Admasu, F. S., Bakare, E. A., & Siewe, N. (2021). SARS-CoV-2 and self-medication in Cameroon: a mathematical model. Journal of biological dynamics, 15(1), 137-150.
  45. Lieberman, B., Kong, J. D., Gusinow, R., Asgary, A., Bragazzi, N. L., Choma, J., … & Mellado, B. (2023). Big data-and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. BMC Medical Informatics and Decision Making, 23(1), 19.
  46. Mbogning Fonkou MD, Bragazzi NL, Tsinda EK, Bouba Y, Mmbando GS, Kong JD. (2021). COVID-19 Pandemic Related Research in Africa: Bibliometric Analysis of Scholarly Output, Collaborations and Scientific Leadership. International Journal of Environmental Research and Public Health. 18(14):7273.
  47. Mellado, B., Wu, J., Kong, J. D., Bragazzi, N. L., Asgary, A., Kawonga, M., … & Orbinski, J. (2021). Leveraging artificial intelligence and big data to optimize COVID-19 clinical public health and vaccination roll-out strategies in Africa. International Journal of Environmental Research and Public Health, 18(15), 7890.
  48. Nia, Z. M., Asgary, A., Bragazzi, N., Melado, B., Orbinski, J., Wu, J., & Kong, J. D. (2021). Tracing unemployment rate of South Africa during the COVID-19 pandemic using Twitter data. JMIR Preprints.
  49. Nia, Z. M., Ahmadi, A., Bragazzi, N. L., Woldegerima, W. A., Mellado, B., Wu, J., … & Kong, J. D. (2022). A cross-country analysis of macroeconomic responses to COVID-19 pandemic using Twitter sentiments. Plos one, 17(8), e0272208.
  50. Nia, Z. M., Ahmadi, A., Mellado, B., Wu, J., Orbinski, J., Agary, A., & Kong, J. D. (2022). Twitter-Based Gender Recognition Using Transformers. arXiv preprint arXiv:2205.06801.
  51. Nia, Z. M., Asgary, A., Bragazzi, N., Mellado, B., Orbinski, J., Wu, J., & Kong, J. (2022). Nowcasting unemployment rate during the COVID-19 pandemic using Twitter data: The case of South Africa. Frontiers in Public Health, 10.
  52. Nia, Z., Bragazzi, N. L., Wu, J., & Kong, J. D. (2022). A Twitter Dataset for Monkeypox, May 2022. Available at SSRN.
  53. Ogbuokiri, B., Ahmadi, A., Bragazzi, N. L., Nia, Z. M., Mellado, B., Wu, J., … & Kong, J. (2022). Public sentiments toward COVID-19 vaccines in South African cities: An analysis of Twitter posts. Frontiers in Public Health, 10.
  54. Potgieter, A., Fabris-Rotelli, I. N., Kimmie, Z., Dudeni-Tlhone, N., Holloway, J. P., Janse van Rensburg, C., … & Khuluse-Makhanya, S. (2021). Modelling representative population mobility for COVID-19 spatial transmission in South Africa. Frontiers in big Data, 4, 718351.
  55. Puce, L., Trabelsi, K., Ammar, A., Jabbour, G., Marinelli, L., Mori, L., … & Bragazzi, N. L. (2022). A tale of two stories: COVID-19 and disability. A critical scoping review of the literature on the effects of the pandemic among athletes with disabilities and para-athletes. Frontiers in physiology, 2357.
  56. Puce, L., Trabelsi, K., Trompetto, C., Mori, L., Marinelli, L., Currà, A., … & Bragazzi, N. L. (2022, November). A Bibliometrics-Enhanced, PAGER-Compliant Scoping Review of the Literature on Paralympic Powerlifting: Insights for Practices and Future Research. In Healthcare (Vol. 10, No. 11, p. 2319). MDPI.
  57. Sekkak, I., Kong, J. D., & El Fatini, M. (2022). Containing and Managing an Emerging Disease Outbreak: A Stochastic Modelling Approach.
  58. Sekkak, I., NASRI, B. R., RÉMILLARD, B. N., KONG, J. D., & EL FATINI, M. O. H. A. M. E. D. (2022). A Stochastic Analysis of a Siqr Epidemic Model With Short and Long-term Prophylaxis.
  59. Sott MK, da Silva Nascimento L, Foguesatto CR, Furstenau LB, Faccin K, Zawislak PA, Mellado B, Kong JD, Bragazzi NL. Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities.
  60. Stevenson F, Hayasi K, Bragazzi NL, Kong JD, Asgary A, Lieberman B, Ruan X, Mathaha T, Dahbi SE, Choma N, Kawonga M. Development of an Early Alert System for an Additional Wave of COVID-19 Cases using a Recurrent Neural Network with Long Short-Term Memory. IJERPH 2021
  61. Tao, S., Bragazzi, N. L., Wu, J., Mellado, B., & Kong, J. D. (2022). Harnessing artificial intelligence to assess the impact of nonpharmaceutical interventions on the second wave of the coronavirus disease 2019 pandemic across the world. Scientific Reports, 12(1), 944.
  62. Thiede R, Abdelatif N, Fabris-Rotelli I, Manjoo-Docrat R, Holloway J, van Rensburg CJ, Debba P, Dudeni-Tlhone N, Kimmie Z, Roux AL. Spatial variation in the basic reproduction number of COVID-19: A systematic review. arXiv preprint arXiv:2012.06301. 2020 Dec 10.
  63. Wang, X., Han, Q., & Kong, J. D. (2022). Studying the mixed transmission in a community with age heterogeneity: COVID-19 as a case study. Infectious Disease Modelling, 7(2), 250-260.
  64. Yagai Bouba, Emmanuel Kagning Tsinda, Maxime Descartes, Mbogning Fonkou ,Gideon Sadikiel Mmbando ,Nicola Luigi Bragazzi , Jude Dzevela Kong. The determinants of the low COVID-19 transmission and mortality rates in Africa: A cross- country analysis. SSRN 2021. 
  65. Yuan, P., Aruffo, E., Li, Q., Li, J., Tan, Y., Zheng, T., … & Zhu, H. (2022, February). Evaluating the risk of reopening the border: a case study of Ontario (Canada) to New York (USA) using mathematical modeling. In Mathematics of Public Health: Proceedings of the Seminar on the Mathematical Modelling of COVID-19 (pp. 287-301). Cham: Springer International Publishing.
  66. Yuan, P., Li, J., Aruffo, E., Gatov, E., Li, Q., Zheng, T., … & Zhu, H. (2022). Efficacy of a “stay-at-home” policy on SARS-CoV-2 transmission in Toronto, Canada: a mathematical modelling study. Canadian Medical Association Open Access Journal, 10(2), E367-E378.