From Outbreaks to Artificial Intelligence: A Comprehensive Review of Monkeypox Virus Epidemiology, Diagnosis, Treatment, Vaccination, and Deep Learning Applications
2024

Comprehensive Review of Monkeypox Virus

Sample size: 15600 publication Evidence: high

Author Information

Author(s): Shahed Ahmadi, Mahdi Amirzadeh, Mousa Ahmadi, Saeed Soleiman-Meigooni

Primary Institution: Shahid Beheshti University of Medical Sciences, Tehran, Iran

Hypothesis

This review synthesizes current MPOX knowledge to assist policymakers, clinicians, and researchers in developing effective diagnostics, therapeutic interventions, vaccination strategies, and outbreak management.

Conclusion

The review highlights the importance of using traditional public health knowledge alongside modern AI to manage MPOX outbreaks effectively.

Supporting Evidence

  • Over 15,600 MPOX cases and 537 deaths were reported globally from January to August 2024.
  • AI-based models can assist medical teams in promptly diagnosing MPOX skin lesions.
  • Smallpox vaccines can help prevent MPOX infection due to genetic similarities.

Takeaway

Monkeypox is a virus that can spread easily and cause serious illness, but we can use vaccines and new technology to help control it.

Methodology

This systematic review study searched for articles on virus epidemiology, virology, clinical features, transmission routes, available drugs and vaccines, and new artificial intelligence applications.

Potential Biases

Potential selection bias due to the double-masked screening process.

Limitations

The review may not cover all studies prior to 2022 and relies on the quality of included studies.

Participant Demographics

The review discusses cases primarily among men who have sex with men (MSM) and other high-risk groups.

Digital Object Identifier (DOI)

10.1155/jotm/6688914

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