Objective

To provide an overview of the literature on respiratory infectious disease epidemic prediction, preparedness, and response (including pharmaceutical and nonpharmaceutical interventions) and their impact on public health, with a focus on respiratory conditions such as asthma.

Data Sources

Published literature obtained through PubMed database searches.

Study Selections

Studies relevant to infectious epidemics, asthma, modeling approaches, health care access, and data analytics related to intervention strategies.

Results

Prediction, prevention, and response strategies for infectious disease epidemics use extensive data sources and analytics, addressing many areas including testing and early diagnosis, identifying populations at risk of severe outcomes such as hospitalizations or deaths, monitoring and understanding transmission and spread patterns by age group, social interactions geographically and over time, evaluating the effectiveness of pharmaceutical and nonpharmaceutical interventions, and understanding prioritization of and access to treatment or preventive measures (eg, vaccination, masks), given limited resources and system constraints.

Conclusion

Previous epidemics and pandemics have revealed the importance of effective preparedness and response. Further research and implementation need to be performed to emphasize timely and actionable strategies, including for populations with particular health conditions (eg, chronic respiratory diseases) at risk for severe outcomes.

中文翻译：

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反思流行病的预测策略

客观的

提供有关呼吸道传染病流行预测，准备和反应（包括药物和非药物干预措施）及其对公共健康的影响的文献综述，重点是呼吸道疾病，例如哮喘。

数据源

通过PubMed数据库搜索获得的出版文献。

研究选择

与传染性流行病，哮喘，建模方法，医疗保健访问以及与干预策略有关的数据分析相关的研究。

结果

传染病流行的预测，预防和应对策略使用广泛的数据源和分析，涉及许多领域，包括测试和早期诊断，确定有严重后果（如住院或死亡）风险的人群，监测和了解按年龄段划分的传播和传播方式，在有限的资源和系统限制下，在地理上和随着时间的推移进行社会互动，评估药物和非药物干预措施的有效性，并了解治疗或预防措施（例如疫苗接种，口罩）的优先级和获得途径。

结论

先前的流行病和大流行病已经揭示了有效准备和应对的重要性。需要进行进一步的研究和实施，以强调及时和可操作的策略，包括针对处于特殊健康状况（例如，慢性呼吸道疾病）中并有严重后果风险的人群。