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NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital

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data.cdc.gov2022-01-12 更新2025-03-24 收录
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NNDSS - TABLE 1PP. Yellow fever to Zika virus disease, non-congenital – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents. Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island. Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks. * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

NNDSS - 表格1PP. 黄热病至寨卡病毒病,非先天性 - 2021年。本表中展示了美国、美国领土以及非美国居民的应报告疾病的暂定病例*。 注意:由于CDC数据处理问题,以下司法管辖区第7周的数据可能不完整:阿拉斯加、亚利桑那州、加利福尼亚州、康涅狄格州、特拉华州、佛罗里达州、夏威夷州、路易斯安那州、马里兰州、密歇根州、密苏里州、北达科他州、新罕布什尔州、纽约市、俄勒冈州、宾夕法尼亚州和罗德岛州。 备注: 本表包含来自国家应报告疾病监测系统(NNDSS)的国家应报告疾病的暂定病例。NNDSS数据来自50个州、纽约市、哥伦比亚特区和美国领土,并每周在NNDSS数据和统计网页(https://wwwn.cdc.gov/nndss/data-and-statistics.html)上发布。州卫生部门向CDC报告以供每周发布的数据为暂定数据,因为需要时间来完成病例随访。因此,后期周次中呈现的数字可能随着额外信息的获取而发生变化。用于定义病例的国家监测病例定义可在NNDSS网站上找到,网址为https://wwwn.cdc.gov/nndss/。有关每周暂定数据和解释数据的指南可在:https://wwwn.cdc.gov/nndss/infectious-tables.html上找到。 脚注: U:不可用 —— 报告的司法管辖区无法向CDC发送数据或CDC无法处理数据。 -:无报告病例 —— 报告的司法管辖区未向CDC提交任何病例。 N:不可报告 —— 在报告的司法管辖区中,疾病或状况根据法律、法规或条例不可报告。 NN:非国家应报告 —— 此状况未被指定为国家应报告。 NP:国家应报告但未发布。 NC:未计算 —— 可用于支持计算此统计数据的资料不足。 Cum:累计年度至今计数。 Max:最大值 —— 过去52周内的最大病例数。 *2020年和2021年报告年份的病例数是暂定的,并可能发生变化。如果病例的常居国为美国、美国领土、未知或空(即未报告国家),则病例被分配给提交病例给NNDSS的报告司法管辖区;否则,病例被分配到“非美国居民”类别。目前,并非所有司法管辖区或所有条件都报告常居国。有关这些数据的解释的更多信息,请参阅https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf。 †过去52周的最大值和累计YTD是从条件在司法管辖区中可报告的时期确定的(即可能少于52周的数据或不完整的YTD数据)。
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