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BACKGROUND: The increase in mpox incidence underscores the crucial need to understand and effectively address prevention, early detection, and agile response to this disease. Therefore, the present study aims to determine the knowledge and attitude towards mpox.
METHODS: A systematic review and comprehensive literature meta-analysis were conducted using prominent databases such as PubMed, Scopus, Web of Science, Embase, and ScienceDirect, with an updated search until June 25, 2023. The quality of the included observational studies was assessed using the Joanna Briggs Institute\'s Statistical Meta-Analysis Review Instrument. The collected data were recorded in a Microsoft Excel spreadsheet, and analyses were conducted using R software version 4.2.3. Additionally, Cochran\'s Q statistics were applied to assess the heterogeneity of the included studies.
RESULTS: A total of 299 articles were retrieved from 5 databases. This study included 27 cross-sectional articles with a total sample of 22,327 participants, of which 57.13% were women. The studies were conducted in 15 countries through an online survey. All studies had a moderate level of quality. The combined prevalence of a good level of knowledge about mpox was 33% (95% CI: 22%-45%; 22,327 participants; 27 studies; I2 = 100%), and the combined prevalence of a positive attitude towards mpox was 40% (95% CI: 19%-62%; 2,979 participants; 6 studies; I2 = 99%). Additionally, as a secondary outcome, the combined prevalence of the intention to vaccinate against mpox was 58% (95% CI: 37%-78%; 2,932 participants; 7 studies; I2 = 99%).
CONCLUSIONS: Good knowledge and a positive attitude towards mpox were found to be low. The findings of this study highlight the need to identify gaps and focus on implementing educational programs on mpox.
UNASSIGNED: Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI), Prospective International Registry of Systematic Reviews (PROSPERO), and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

Monkeypox virus (MPXV) is an emerging zoonotic pathogen with complex epidemiology necessitating rapid diagnosis and distinguishing between clades and subclades. The emerging Clade Ib lacks the genomic region used in the Clade I-specific assay from the Centers for Disease Control and Prevention. We report an MPXV real-time PCR to specifically detect Clade Ib. The assay demonstrated proficient sensitivity and specificity in 92 samples and can be included along other TaqMan-based assays to detect MPXV and distinguish between clades and subclades.

Multiple omics analyzes of Vaccinia virus (VACV) infection have defined molecular characteristics of poxvirus biology. However, little is known about the monkeypox (mpox) virus (MPXV) in humans, which has a different disease manifestation despite its high sequence similarity to VACV. Here, we perform an in-depth multi-omics analysis of the transcriptome, proteome, and phosphoproteome signatures of MPXV-infected primary human fibroblasts to gain insights into the virus-host interplay. In addition to expected perturbations of immune-related pathways, we uncover regulation of the HIPPO and TGF-β pathways. We identify dynamic phosphorylation of both host and viral proteins, which suggests that MAPKs are key regulators of differential phosphorylation in MPXV-infected cells. Among the viral proteins, we find dynamic phosphorylation of H5 that influenced the binding of H5 to dsDNA. Our extensive dataset highlights signaling events and hotspots perturbed by MPXV, extending the current knowledge on poxviruses. We use integrated pathway analysis and drug-target prediction approaches to identify potential drug targets that affect virus growth. Functionally, we exemplify the utility of this approach by identifying inhibitors of MTOR, CHUK/IKBKB, and splicing factor kinases with potent antiviral efficacy against MPXV and VACV.

UNASSIGNED: A monkeypox (MPOX) outbreak occurred in May 2022. On June 3, 2022, the WHO Blueprint organized a consultation on MPOX research knowledge gaps and priority research questions because the engagement of health care providers (HCPs) in providing accurate information and the public\'s motivation to adapt protective behaviour were crucial. Thus, we conducted this study to explore the knowledge issues, animal patterns, and interactions of HCPs in the context of MPOX and COVID-19 during the MPOX outbreak.
UNASSIGNED: We conducted a cross-sectional web-based survey among 816 HCPs working in governmental health facilities from many countries, mainly Syria, Egypt, Saudi Arabia, and Cameroon, in September 2022.
UNASSIGNED: Four hundred and sixty (56.37%) were aged between 18 and less than 35 years old. About 34.44% were physicians, while only 37.25% worked on the frontlines with patients. 37.99% and 5.88% received vaccinations against chickenpox and MPOX, respectively. In the meantime, 55.39% had taken courses or training programmes regarding COVID-19. Regarding knowledge-seeking behaviours (KSBs) about COVID-19, 38.73% were through passive attention, while only 28.8% got their information through active search. Most of the participants (56.86%) had a moderate level of knowledge regarding COVID-19. Only 8.82% had courses or training programmes regarding MPOX. Regarding KSB about MPOX, 50.86% were obtained through passive attention, while only 18.01% and 23.04% got their information through active and passive search, respectively. Most of the participants (57.60%) had a poor level of knowledge regarding MPOX. The regression analysis of the MPOX knowledge score revealed that individuals working on the frontlines with patients and those who had training programmes or courses were shown to have a higher score by 1.25 and 3.18 points, respectively.
UNASSIGNED: The studied HCPs had poorer knowledge about the MPOX virus than they did about the SARS-CoV-2 virus. Training programmes and education courses had an impact on their knowledge.

Outbreaks of emerging diseases, like Mpox in 2022, pose unprecedented challenges to global healthcare systems. Although Mpox cases globally decreased since the end of 2022, numbers are still significant in the African Region, European Region, Region of the Americas, and Western Pacific Region. Rapid and efficient detection of infected individuals by precise screening assays is crucial for successful containment. In these assays, analytical and clinical performance must be assessed to ensure high quality. However, clinical studies evaluating Mpox virus (MPXV) detection kits using patient-derived samples are scarce. This study evaluated the analytical and clinical performance of a new diagnostic MPXV real-time PCR detection kit (Sansure Monkeypox Virus Nucleic Acid Diagnostic Kit) using patient-derived samples collected in Germany during the MPXV clade IIb outbreak in 2022. Our experimental approach determined the Limit of Detection (LoD) to less than 200 cp/mL using whole blood samples and samples derived from vesicles or pustules. Furthermore, we tested potentially inhibiting substances and pathogens with homologous nucleic acid sequences or similar clinical presentation and detected no cross-reactivity or interference. Following this, the assay was compared to a CE-marked test in a clinical performance study and achieved a diagnostic sensitivity of 100.00% and diagnostic specificity of 96.97%. In summary, the investigated real-time PCR assay demonstrates high analytical performance and concurs with the competitor device with high specificity and sensitivity.

In mid-2022, New York City (NYC) became the epicenter of the US mpox outbreak. We provided real-time mpox case forecasts to the NYC Department of Health and Mental Hygiene to aid in outbreak response. Forecasting methodologies evolved as the epidemic progressed. Initially, lacking knowledge of at-risk population size, we used exponential growth models to forecast cases. Once exponential growth slowed, we used a Susceptible-Exposed-Infectious-Recovered (SEIR) model. Retrospectively, we explored if forecasts could have been improved using an SEIR model in place of our early exponential growth model, with or without knowing the case detection rate. Early forecasts from exponential growth models performed poorly, as 2-week mean absolute error (MAE) grew from 53 cases/week (July 1-14) to 457 cases/week (July 15-28). However, when exponential growth slowed, providing insight into susceptible population size, an SEIR model was able to accurately predict the remainder of the outbreak (7-week MAE: 13.4 cases/week). Retrospectively, we found there was not enough known about the epidemiological characteristics of the outbreak to parameterize an SEIR model early on. However, if the at-risk population and case detection rate were known, an SEIR model could have improved accuracy over exponential growth models early in the outbreak.

A large outbreak of monkeypox occurred in 2022, and most people lack immunity to orthopoxvirus. Smallpox vaccination is essential for preventing further smallpox outbreaks. This study evaluated the effectiveness, protection, safety, and cross-immunogenicity of smallpox vaccine in preventing monkeypox infection. PubMed, Embase, Scopus, and Web of Science were searched from database inception to 10 March 2024. We included studies involving \"monkeypox virus\" and \"vaccinations\", and excluded reviews, animal studies, and articles with missing or duplicate data. A total of 37 studies with 57,693 participants were included in the final analysis. The effectiveness data showed that monkeypox infection rates were lower in the smallpox-vaccinated group than in the unvaccinated group (risk ratio [RR]: 0.46; 95% confidence interval [CI]: 0.31-0.68). The protection data showed that smallpox vaccination effectively reduced the risk of severe monkeypox infection (RR: 0.61; 95% CI: 0.42-0.87). Third-generation vaccines showed greater efficacy (RR: 0.36, 95% CI: 0.22-0.56) than first-generation vaccines. The number of doses of smallpox vaccine has no significant effect on monkeypox. Safety data showed that adverse reactions after smallpox vaccination were mainly mild and included local erythema, swelling, induration, itching, and pain. Meanwhile, we found that smallpox vaccination could induce the production of neutralizing antibodies against monkeypox. Our findings offer compelling evidence supporting the clinical application of the smallpox vaccine for preventing monkeypox and advocate that high-risk groups should be prioritized for receiving one dose of the smallpox vaccine if the vaccine stockpile is low.

While the globe continues to struggle to recover from the devastation brought on by the COVID-19 virus\'s extensive distribution, the recent worrying rise in human monkeypox outbreaks in several nations raises the possibility of a novel worldwide pandemic. The symptoms of human monkeypox resemble those of chickenpox and traditional measles, with a few subtle variations like the various kinds of skin blisters. A range of deep learning techniques have demonstrated encouraging results in image-oriented tumor cell, Covid-19 diagnosis, and skin disease prediction tasks. Hence, it becomes necessary to perform the prediction of the new monkeypox disease using deep learning techniques. In this paper, an image-oriented human monkeypox disease prediction is performed with the help of novel deep learning methodology. Initially, the data is gathered from the standard benchmark dataset called Monkeypox Skin Lesion Dataset. From the collected data, the pre-processing is accomplished using image resizing and image normalization as well as data augmentation techniques. These pre-processed images undergo the feature extraction that is performed by the Convolutional Block Attention Module (CBAM) approach. The extracted features undergo the final prediction phase using the Modified Restricted Boltzmann Machine (MRBM), where the parameter tuning in RBM is accomplished by the nature inspired optimization algorithm referred to as Equilibrium Optimizer (EO), with the consideration of error minimization as the major objective function. Simulation findings demonstrate that the proposed model performed better than the remaining models at monkeypox prediction. The proposed MRBM-EO for the suggested human monkeypox disease prediction model in terms of RMSE is 75.68%, 70%, 60.87%, and 43.75% better than PSO-SVM, Xception-CBAM-Dense, ShuffleNet, and RBM respectively. Similarly, the proposed MRBM-EO for the suggested human monkeypox disease prediction model with respect to accuracy is 9.22%, 7.75%, 3.77%, and 10.90% better than PSO-SVM, Xception-CBAM-Dense, ShuffleNet, and RBM respectively.

BACKGROUND: The 2022 mpox global outbreak underscores the need for an improved understanding of mpox epidemiology, co-morbidities, and clinical management/outcome. We report a case of a 30-year-old Nigerian antiretroviral treatment-experienced person living with human immunodeficiency virus (PLHIV) who had PCR-confirmed mpox and chickenpox co-infection.
METHODS: The patient presented with a generalized itchy rash of three weeks and antecedent low-grade fever. He had no recent travel, animal exposure, or same-sex relationship. Examination revealed generalized pustular and nodular eruptions without peripheral lymphadenopathy.
RESULTS: CD4 count was 78 cells/mm3, wound swab microscopy revealed Gram-positive cocci in clusters and Gram-negative bacilli while culture yielded Pseudomonas aeruginosa. Despite supportive care and definitive antimicrobial therapy, his clinical condition deteriorated with sepsis-related multi-organ dysfunction and ultimately death.
CONCLUSIONS: Mpox and chickenpox co-infection may occur, with potentially fatal complications in the setting of advanced HIV disease. Increased surveillance for co-viral infections in PLHIV with febrile exanthema and aggressive management to improve outcome are recommended.