Results 51 to 60 of about 2,721 (157)

Anti-orthopoxvirus antibody production.

open access: yes, 2013
Orthopoxvirus specific ELISA to detect total IgG. The average value per infection group is shown here. The reported OD-COV (cutoff value) corresponds to the value above the average signal of the negative control wells plus two standard deviations.
Paul N. Hudson (190325)   +11 more
core   +1 more source

Public Knowledge, Attitudes, and Preventive Practices Regarding Mpox in Bangladesh: Insights From a Community‐Based Cross‐Sectional Survey

open access: yesHealth Science Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background and Aims Mpox has recently re‐emerged as a significant global health concern, highlighting the importance of public awareness and preventive measures. This study aimed to assess the knowledge, attitudes, and practices (KAP) regarding Mpox and its epidemiology, prevention, and control measures among the general population of ...
Hemayet Hossain   +19 more
wiley   +1 more source

Fish Poxviruses on the Rise: Prospects for Aquatic Health

open access: yesJournal of Fish Diseases, Volume 49, Issue 10, October 2026.
ABSTRACT Fish poxviruses are increasingly recognised as emerging pathogens of fish and should be considered in cases of unexplained gill or skin pathology. Carp edema virus (CEV), the causative agent of koi sleepy disease in common carp and koi (Cyprinus carpio), represents the first known example.
Mikolaj Adamek   +9 more
wiley   +1 more source

In vitro and in vivo laboratory models for Orthopoxviruses (Poxviridae: Orthopoxvirus): current approaches, limitations, and future perspectives

open access: yesВопросы вирусологии
The article presents a review of modern experimental models used for the study of orthopoxvirus infections. The biological characteristics and pathogenesis of orthopoxviruses are discussed, including mechanisms of replication, immune evasion, and ...
Sanat S. Kilibayev   +3 more
doaj   +1 more source

Genomic Epidemiology and Clinical Characteristics of Mpox Lineage C.1 Outbreak in Thailand, 2023–2024

open access: yesJournal of Medical Virology, Volume 98, Issue 9, September 2026.
ABSTRACT Since 2022, human monkeypox virus (hMPXV) has emerged in non‐endemic regions, including Thailand. However, the genomic dynamics and clinical correlates of local transmission remain incompletely defined. Whole‐genome sequencing was performed on hMPXV from 16 patients in Thailand (2023–2024) using targeted amplicon NGS.
Kamol Suwannakarn   +12 more
wiley   +1 more source

Skin lesions caused by Orthopoxvirus in children

open access: yesAdvances in Dermatology and Allergology, 2020
The global eradication of smallpox and abandonment of mandatory smallpox vaccination has led to an increased proportion of the population who are immunologically naïve to infections caused by Orthopoxviruses (OPV).To present the different courses of OPV infection in children and to highlight the diagnostic difficulties in their differentiation from the
Mazur-Melewska, Katarzyna   +7 more
openaire   +2 more sources

Discovery of the nucleoside analogue FMAU as a broad-spectrum anti-orthopoxvirus inhibitor in vitro and in vivo using a structure-guided hit expansion strategy

open access: yesEmerging Microbes and Infections
Mpox remains a critical public health threat worldwide, and currently available therapeutics against orthopoxvirus infections remain very limited. In this study, we identified 2'-deoxy-2'-fluoro-5-methyl-1-β-D-arabinofuranosyluracil (FMAU) as a broad ...
Tingting Zheng   +10 more
doaj   +1 more source

Severe Scrotal Cellulitis in a Young Man

open access: yes
JEADV Clinical Practice, EarlyView.
Hamad El Hajj   +3 more
wiley   +1 more source

Early Mpox Detection: Integrating Skin Lesion Imaging, Epidemiology, and Treatment for Deep Learning Approaches

open access: yesMedicine Advances, Volume 4, Issue 3, Page 287-296, September 2026.
Research papers utilizing publicly available, web‐scraped resources related to mpox—including news portals and datasets such as Monkeypox2022, Kaggle, and the Monkeypox Skin Images Dataset—demonstrate variability in accuracy. Our findings suggest that although deep learning models such as MobileNetV2, VGG16, and GoogLeNet report accuracy exceeding 95%,
Taskin Sabit, Faiza Tasnim
wiley   +1 more source

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