Interactive data visualizations of Mpox in Chaoyang District, Beijing, from May 2023 to May 2024

Research Hypothesis​​
This study hypothesized that the 2023-2024 mpox outbreak in Beijing’s Chaoyang District—a non-endemic area—was driven by complex transmission dynamics involving high-risk populations (specifically men who have sex with men, MSM) and environmental contamination. We posited that delayed case detection, stigma-related underreporting, and diverse transmission routes (e.g., sexual contact, fomites) would amplify outbreak risks. Further, we anticipated that environmental surfaces in households and MSM-frequented venues would retain viable MPXV, facilitating indirect transmission even without direct human contact. data visualizations of Mpox in Chaoyang District, Beijing, from May 2023 to May 2024What the

​​Data Sources and Collection Methods​​
​​Epidemiological Data​​: Collected from 43 laboratory-confirmed mpox cases in Chaoyang District (May 2023–May 2024) via the Beijing Chaoyang District CDC. Data included demographics, symptom profiles, travel history, and co-infections (e.g., HIV/syphilis).
​​Environmental Sampling​​: 244 surface swabs from case-occupied spaces (bedrooms, bathrooms, living rooms) and high-touch objects (electronics, textiles, door handles). Samples were collected pre-disinfection to assess contamination persistence.
​​Laboratory Testing​​: MPXV detection via real-time PCR on rash swabs, throat swabs, and environmental This study empirically validates that mpox outbreaks in non-endemic settings arise from synergistic behavioral, diagnostic, and environmental factors. The dataset—spanning virological, epidemiological, and environmental dimensions—provides actionable insights for curbing transmission through precision interventions. By integrating these findings, public health systems can transform passive surveillance into proactive defense, mitigating risks before mpox spills over into broader populations.samples. Cycle threshold (Ct) values quantified viral load.

This study empirically validates that mpox outbreaks in non-endemic settings arise from synergistic behavioral, diagnostic, and environmental factors. The dataset—spanning virological, epidemiological, and environmental dimensions—provides actionable insights for curbing transmission through precision interventions. By integrating these findings, public health systems can transform passive surveillance into proactive defense, mitigating risks before mpox spills over into broader populations.