The Proctor's reporting guideline for implementation strategies represents a landmark framework in the field of implementation science, aiming to address the issue of inconsistent reporting in implementation research by standardizing the naming, definition, and operationalization of implementation strategies, thereby enhancing the credibility and utility of research findings. This paper provides an in-depth interpretation of the core connotations of this reporting guideline and illustrates its application in developing interview outlines and specifying implementation strategies, using a brief smoking cessation intervention project as a case study. Through this reporting guideline, abstract recommendations for implementation are systematically transformed into clear, multidimensional operational guides, significantly improving the transparency of strategy connotations and the replicability of actual execution. Meanwhile, the case study highlights the flexibility of the guideline, which allows researchers to adapt the content and format of strategies based on local resources and cultural contexts, thus enhancing practical adaptability while maintaining scientific rigor. However, the application of Proctor's reporting guideline still faces challenges, primarily manifested in the potential confusion surrounding the constructs of temporality and dose in practice, as well as the challenges that the inherent flexibility of the guideline may pose to the assessment of fidelity and effectiveness. Despite these limitations, the reporting guideline remains a vital tool for implementation research; future efforts should focus on optimizing its application—through refining operational guidelines, standardizing flexible adaptations, and involving stakeholders—to better guide implementation studies and continuously promote high-quality development in the field.

Factorial design is an important method for optimizing complex strategies in implementation science. This paper systematically elucidates the origin, types, and core concepts of the factorial design, and then use a brief smoking cessation intervention project as an example to illustrate its specific applications in identifying key factors and testing interactions. Factorial design has the following typical advantages: it can test synergistic and antagonistic effects between factors, provide effect estimates that are broadly valid across the experimental conditions, and offer high statistical efficiency. At the same time, it also has certain limitations, including that its complexity is positively correlated with the number of factors, the need for large sample sizes to detect interactions, the potential for insufficient acceptability of some strategy combinations due to ethical concerns or participant burden, and the complexity of the analytical methods required. In future research, its application should be further optimized by appropriately controlling the number of factors, clearly defining research objectives, and evaluating intervention acceptability, in order to promote the development of precision implementation science.

Objective To analyze the global status of COVID-19 epidemics, so as to preliminarily forecast the epidemic trend. Methods The epidemiological data of 208 countries and the prevention and control policies implemented by typical countries from December 31, 2019 to December 14, 2020 were collected. We use the cumulative incidence rate, cumulative mortality, cumulative fatality and real-time dependent reproduction number (R_t) to analyze the epidemic status. We use the provenance package to group different countries and discuss the effect of prevention and control measures. Results As of December 14, 2020, a cumulative incidence of 93.49 per 10000, a cumulative mortality rate of 0.21‰, and a cumulative fatality rate of 3.1‰ had been reported globally.112 of the 208 countries still had R_t ≥ 1.0, and 96 countries had R_t <1.0. The grouping of 208 countries showed that countries from the same continent often gather together and were geographically adjacent. Countries that were geographically adjacent could easily be grouped together. Conclusion As of December 14, 2020, the epidemic situation in most countries had not been effectively controlled, and epidemic prevention and control are facing greater pressure. Sub-Saharan countries currently had a high R_t , and the government had adopted more relaxed epidemic prevention measures. The epidemic situation in this region may continue to deteriorate, and needs to be focused in the later period.