Purpose: By serving and providing a guide for other regional places, this study aims to advance and guide the epidemic prevention and control methods, and practices and strengthen people’s ability to respond to COVID-19 and other future potential public health risks.Design/methodology/approach: A comparative analysis was conducted that the COVID-19 epidemic development trend and prevention and control effects both in Beijing and Shanghai. In fact, regarding the COVID-19 policy and strategic areas, the differences between governmental, social, and professional management were discussed and explored. To prevent and be ready for potential pandemics, experience and knowledge were used and summarized.Findings: The strong attack of the Omicron variant in early 2022 has posed challenges to epidemic prevention and control practices in many Chinese cities. Shanghai, which had achieved relatively good performance in the fight against the epidemic, has exposed limitations in its epidemic prevention and control system in the face of Omicron. In fact, the city of Beijing has undertaken prompt and severe lockdown measures and achieved rather good results in epidemic prevention and control because of learning from Shanghai’s experience and lessons; adhering to the overall concept of “dynamic clearing,” implementing precise prevention and monitoring, enhancing community control, and making emergency plans and preparations. All these actions and measures are still essential in the shift from pandemic response to pandemic control.Research limitations/implications: Different places have introduced different urgent policies to control the spread of the pandemic. Strategies to control COVID-19 have often been based on preliminary and limited data and have tended to be slow to evolve as new evidence emerges. Hence, the effects of these anti-epidemic policies need to be further tested.

4033 Background: Both anti-PD-1 antibodies and molecular antiangiogenic agents have shown promising anti-tumor activities in patients with advanced esophageal cancer. We conducted this single-center phase 2 study to evaluate the efficacy and safety of camrelizumab (anti-PD-1 antibody) plus apatinib (VEGFR2-TKI) in combination with liposomal paclitaxel and nedaplatin in the first-line treatment of patients with esophageal squamous cell carcinoma (ESCC). Methods: Patients with unresectable locally advanced or metastatic ESCC received camrelizumab 200mg d1, liposomal paclitaxel 150mg/m² d1, nedaplatin 50mg/m² d1 and apatinib 250mg d1-14. Treatments were repeated every 14 days for up to 6-9 cycles, followed by maintenance therapy with camrelizumab, apatinib, or both. The primary end point was progression-free survival (PFS) in the intention-to-treat population. Secondary end points included objective response rate (ORR), disease control rate (DCR), overall survival (OS) and safety. PD-L1 positivity, defined as a combined positive score (CPS) ≥1, was evaluated by immunohistochemistry (IHC). Results: Between Aug 6^th 2018 and Feb 6^th 2019, a total of 29 patients were enrolled. The median age was 62 years (43-70). Most patients were male (22/29, 75.9%) with metastatic disease (25/29, 86.2%). Response evaluation by independent central review was available in 26 patients, with 19 achieving a best response of PR, 6 with SD, and 1 with PD. The ORR and DCR were 73.1% (19/26) and 96.2% (25/26), respectively. Data for PFS and OS were not matured. The most common grade 3/4 adverse events were leucopenia (21/29, 72.4%) and neutropenia (15/29, 51.7%). Two cases of treatment-related SAEs occurred, both led to hospitalization: one patient developed grade 3 febrile neutropenia, grade 4 leucopenia and grade 3 anorexia; another patient developed grade 4 toxic epidermal necrolysis. Conclusions: Camrelizumab plus apatinib in combination with liposomal paclitaxel and nedaplatin could be a new treatment option for patients with unresectable locally advanced or metastatic ESCC. Clinical trial information: NCT03603756.

In a world increasingly saturated with digital health technologies, the promise of empowerment through information has become almost axiomatic. Yet what if access does not equate to understanding, and what if the sleek interfaces and personalized nudges of today's tools merely simulate agency while displacing it? This presentation interrogates the epistemological and ethical limits of four dominant models underpinning digital health design: the information deficit model, the knowledge–attitude–practice (KAP) framework, health literacy strategies, and behavioral nudging. Despite their differences, each presumes a rational, autonomous user who simply needs the right data or design to act wisely. Drawing on critical public health literature and sociotechnical theory, we argue that these frameworks obscure the structural and social determinants of health (SDoH), such as time poverty, financial stress, and cultural tensions, that fundamentally constrain genuine agency. Rather than merely optimizing individual behavior, this commentary compels the field to confront fundamental questions of power: Who gets to define health? Who designs the algorithm? And who is excluded in the process? By centering these inquiries, the real frontier is not smarter apps, but fairer governance. The paper concludes that addressing the digital divide requires structural interventions, such as participatory oversight and redistributive design, ensuring that digital health systems are grounded in human understanding rather than just administrative efficiency.

Background: Maternal health during the perinatal period is a global public health priority. While antenatal education is widely implemented, conventional lecture-based models often fail to achieve sustained behavior change. Innovative approaches that integrate experiential learning with digital support may enhance maternal knowledge, self-management, and pregnancy outcomes. Objective: The aim of this study is to evaluate the feasibility and preliminary effectiveness of a combined experiential class and online logging intervention for pregnant women in China and to explore the mechanisms underpinning its impact on health practices and service experiences. Methods: A mixed methods design was used in a district-level maternal and child health hospital in Beijing. In the quantitative arm, 40 women (intervention group, n=20; control group, n=20) were enrolled in a quasi-experimental comparison. Outcomes included knowledge-attitude-practice indicators, service satisfaction, and clinical birth outcomes. Given the limited sample size, a qualitative arm was conducted to complement statistical findings: semistructured interviews with 20 women (10 per group) were analyzed thematically. Quantitative and qualitative results were integrated during interpretation to provide a comprehensive evaluation. Results: Compared with the experiential class alone, the combined intervention was associated with higher knowledge scores (mean difference 1.6 points, 95% CI 0.8-2.4), stronger adherence to recommended health practices (composite adherence score difference 1.0, 95% CI 0.4-1.6), and higher overall service satisfaction (mean difference 0.6, 95% CI 0.2-1.0). Across multiple domains, a higher proportion of participants in the intervention group met dietary, exercise, and supplementation recommendations. Clinical outcome differences were exploratory, as the study was not powered for these end points. Qualitative analysis revealed 3 mechanisms, such as empowerment and self-efficacy, practice and persistence, and systemic/environmental support, through which the intervention influenced experiences and practices. Conclusions: The experiential class plus online logging model is feasible and acceptable in a real-world antenatal setting. Although limited by a small sample size, findings suggest that the intervention improves maternal knowledge, health practices, and service experiences and may inform future adequately powered trials to evaluate pregnancy outcomes. Qualitative insights highlight mechanisms of health practice change and provide contextual depth, underscoring the value of mixed methods designs in maternal health research.