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Outline
To analyze the epidemiological investigation scenario patterns of respiratory infectious disease outbreaks and design intelligent data collection strategies for different epidemiological investigation data collection objectives.
We systematically reviewed and sorted the occurrence scenarios of typical respiratory infectious disease outbreaks in China. Using literature research, focus group interviews, and expert consultations, we summarized the structural and characteristic patterns of epidemiological investigation scenarios for respiratory infectious diseases. Combined with currently used intelligent data collection technologies and tools, we designed intelligent data collection strategies for epidemiological investigations of respiratory infectious disease outbreaks, established intelligent data collection modules for epidemiological investigations, and analyzed and organized the specific collection content and modes of each module.
Epidemiological investigation scenario patterns of respiratory infectious disease outbreaks include case-based epidemiological investigations and epidemiological investigations of affected sites. Intelligent collection strategies were determined based on the data collection objectives of the epidemiological investigations, including detailed and precise case-based epidemiological investigation data collection for a small number of specific high-risk populations, simple and rapid case-based epidemiological investigation data collection for a large number of unknown risk populations, and epidemiological investigation data collection for affected sites. Seven intelligent data collection modules for epidemiological investigations were established, and a total of 1 012 epidemiological investigation collection variables were organized.
Based on the transmission scenarios of respiratory infectious disease outbreaks and the data collection objectives of epidemiological investigations under different transmission scenarios, this study proposes targeted intelligent data collection strategies for epidemiological investigations of respiratory infectious disease outbreaks, establishes intelligent collection modules, and determines the collection content and modes, laying the foundation for the design and development of intelligent epidemiological investigation systems.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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