Communities are the first line of defense in responding to major public health events. Taking the community-based prevention and control cases of COVID-19 in China as samples, this paper constructs an analytical framework for the generation of community-based prevention and control capacity of public health events from the perspective of governance elements optimization based on the methods of text analysis and limits-to-growth archetype analysis. According to the research, the community-based prevention and control of public health events realizes the integration of governance elements of key actors through the bureaucratic coordination mode and maximizes the prevention and control efficiency with the primary goal of epidemic prevention and control in a short period of time, which presents a “reinforcing feedback” loop in the “limits-to-growth” model system. However, with the development of the epidemic showing a strong trend of being latent and wide spread, the “reinforcing feedback” from the bureaucratic coordination model on the effect of epidemic prevention and control encounters the “regulatory feedback” that inhibits the growth at the data-driven level. On the basis of discussing the practice of the public health prevention and control mode in the grassroots communities under the established political framework, this paper attempts to construct an institutional reform system from technological governance to technological empowerment, so as to effectively realize the mode transformation of community-based prevention and control of public health events.
The so-called community is a living community with stable physical boundaries and common value orientation. Compared with the more common definition of the community as a physical carrier, the community has gradually become the dominant tool to deal with public health emergencies in methodology. On the one hand, from the perspective of the physical attributes of the community, as the most normal living place for ordinary people, the community carries the temporary response to the current sudden public crisis. On the other hand, from the perspective of the social attributes of the community, the recessive resources within the community, such as the trust capital within the community, have played an assisting and supplementary role in the recovery of mental health after a public health crisis to a certain extent.
1. Introduction1. Introduction
The prevention and treatment of public health emergencies is no longer a simple medical technology issue, but a complex global governance issue. Starting from the case of COVID-19 prevention and control in China, it is of great practical significance to explore the realization process of community-based prevention and control of public health empowered by big data under the guidance of public institutions and clarify the basic characteristics and governance path of public health prevention and control mode of grassroots communities under the established political framework.
2. Community Turn of Public Health Event Prevention and Control
The prevention and treatment of public health emergencies is no longer a simple medical technology issue, but a complex global governance issue. Starting from the case of COVID-19 prevention and control in China, it is of great practical significance to explore the realization process of community-based prevention and control of public health empowered by big data under the guidance of public institutions and clarify the basic characteristics and governance path of public health prevention and control mode of grassroots communities under the established political framework.
2.Research Methods and Analytical Framework
2.1. Research Methods
In terms of method selection, the research mainly adopts the methods of text analysis and limits-to-growth archetype analysis. By extracting information from the cases of community-based prevention and control capacity building, and in the stage of integration and refinement of coding-based conceptual categories, government officials and relevant experts are invited to test and demonstrate the axis codes one by one to ensure the objectivity of the results. At the same time, the limits-to-growth model of the constraints on the improvement of community-based prevention and control capacity of public health events is constructed, and an analytical framework for the generation of community-based prevention and control capacity of public health events from the perspective of optimization of governance elements is formed.
2.2 Analytical Framework Construction
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Exised on the feedback model in system dynamics, this study attempts to establish the limits-to-growth archetype of the constraintsing studies mainly focus on the improvementevaluation of community-based prevention and control capacity of public health events and form an analytical framework for the generation, emergency response effect and the establishment of the index system of community-based prevention and the control capacity of public health events from the perspective of optimiza, such as the construction of governance elements.
The urban community-bas edpidemic prevention and control system for public health emergencies is characterized by multiple feedback loops and hysteresis effects of system dynamics. The “limits-to-growth” archetype system mainly includinformation governance system, but ignores the “reinforcing feedback” of the bureaucratic coordinresearch on the generation model under the decision logic and the “regulatory feedback” of the technology-driven model under the creation logic. Taking the COVID-19 outbreak in 2020 as an example, China adopted extensive political mobilization in epidemicprocess of community-based prevention and control capacity of public health events in different prevention and control and realized an efficient response in the initial stage of epidemicmodels. Although existing studies on community-based prevention and control through vertical centralized management, which fully reflected the institutional advantages of Chinese governance with Chinese efficiency. However, with the developcapacity of public health events have focused on the role of key elements in emergency management of the epidemic showing a strong trend of being latent and wide spread, the “reinforcing feedback” from the bureaucratic coordination model on the effect of epidemic prevention and control encounters the “regulatory feedback” that inhibits the growth at the technology-driven level. The research believes that when there is a limits-to-growth structure in the system, it is useless to promote the “reinforcing feedback” loop, and the reason should be found in the negative feedback loop to eliminate the constraints of the negative feedback loop so as to continuously enhance the positive feedback.
3.Discn capacity building, for example, some scholars have analyzed early warning management behaviors and key factors in major public health emergencies, revealing the building elements of early warning management capacity, and some scholars have proposed to establish community solutions related to the driving factors affecting healthy society , bussiont and Conclusions
3.1 Disctussion
At thdies theoretical level, this study exploresrarely analyze the generation process and internal mechanism of community-based prevention and control capacity of public health events from a new research perspective ofspecific governance element optimization.
Ffields, and mainly focus on the static analysirstly, different of the community-based prevention and control capacities generated by different governance models oy building of public health events are explored based on different stages of prevention and control field.
Secondly, from , which is difficult to reveal the perspective of the internal mechanism of the formation of data-driven community-based public health prevention and control capacity, a new idea of data-driven embedded bureaucratic coordination to improve governance capacity is proposedlaw of capacity building.
3.2 Conclusions
The path to improve the data-driven community prevention and control capacity of public health events is the foothold of the study. The transition from bureaucratic coordination to a data-driven prevention and control model requires the transformation of digital thinking, the sharing of multi-party resources and the use of information tools. Through the data-driven model, the benign interaction between government management, social governance and residents’ self-governance under the community prevention and control of public health events can be realized. The building of data-driven community-based prevention and control capacity of public health events needs to seek breakthroughs in three stages: foundation building, governance empowerment and value enhancement