Unveiling the Global Surge of Mpox (Monkeypox): A comprehensive review of current evidence

Duarte, Phelipe Magalhães; Adesola, Ridwan Olamilekan; Priyadarsini, Swagatika; Singh, Rohit; Shaheen, Mohamed N.F.; Ogundijo, Oluwaseun Adeolu; Gulumbe, Bashar Haruna; Lounis, Mohamed; Samir, Mahmoud; Govindan, Karthikeyan; Adebiyi, Odunola Sefiyat; Scott, Godfred Yawson; Ahmadi, Parsa; Mahmoodi, Vahid; Chogan, Hanie; Gholami, Salim; Shirazi, Omid; Moghadam, Shervin Khalilzadeh; Jafari, Niloofer; Shahabinejad, Fatemeh; Subbaram, Kannan; Fawzy, Mohamed; Rehman, Abdul; Tazerji, Sina Salajegheh

doi:10.1016/j.microb.2024.100141

The Microbe

2024

DOI: 10.1016/j.microb.2024.100141

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Unveiling the Global Surge of Mpox (Monkeypox): A comprehensive review of current evidence

Phelipe Magalhães Duarte,

Ridwan Olamilekan Adesola,

Swagatika Priyadarsini

et al.

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Cited by 4 publications

References 119 publications

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Monkeypox: A comprehensive review on mutation, transmission, pathophysiology, and therapeutics

Dutta,

Ghosh,

Dasgupta

et al. 2025

International Immunopharmacology

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Monkeypox: A comprehensive review on mutation, transmission, pathophysiology, and therapeutics

Dutta,

Ghosh,

Dasgupta

et al. 2025

International Immunopharmacology

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First clade 1b mpox variant case outside Africa detected in Germany: A global health alert

Adepoju,

Jamil

2024

New Microbes and New Infections

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Enhancing Monkeypox Detection with Efficientnet-B5 And Image Augmentation Fusion Technique

Abdullahi Lawal Rukuna,

Umar Muhammad Bello,

Abdulmalik Abdulsalam

et al. 2024

Int J Sci Res Sci & Technol

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The recent surge of monkeypox infections worldwide has underscored the need for rapid, accurate diagnostic tools, particularly in regions with limited access to laboratory-based tests. This study employs deep learning, utilizing a pre-trained efficientNet-B5 model through transfer learning, to classify monkeypox from digital skin lesion images. Data was compiled from Kaggle, web scraping, and hospital records, covering both monkeypox and similar skin conditions such as chickenpox, measles and smallpox. The dataset was preprocessed using advanced augmentation fusion techniques, enhancing image diversity and maintaining diagnostic features critical for the model's efficacy. The efficientNet-B5 model achieved impressive results, demonstrating 99.47% accuracy, 99.19% precision and a recall of 99.72 for monkeypox. These findings suggest that the efficientNet-B5 model, supported by augmentation fusion, can serve as a reliable tool for detecting monkeypox, providing a scalable solution for early identification and public health intervention in resource-constrained settings.

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Unveiling the Global Surge of Mpox (Monkeypox): A comprehensive review of current evidence

Cited by 4 publications

References 119 publications

Monkeypox: A comprehensive review on mutation, transmission, pathophysiology, and therapeutics

Monkeypox: A comprehensive review on mutation, transmission, pathophysiology, and therapeutics

First clade 1b mpox variant case outside Africa detected in Germany: A global health alert

Enhancing Monkeypox Detection with Efficientnet-B5 And Image Augmentation Fusion Technique

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