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2020-2021 年巴西亚马孙西部阿克里州市级城市网络中的严重急性呼吸系统综合征和 COVID-19:一项横断面研究。

Severe acute respiratory syndrome and COVID-19 under the hierarchy of the urban network of municipalities in the state of Acre, western Brazilian Amazon region, 2020-2021: a cross-sectional study.

机构信息

PhD. Geographer and Associate Professor, Instituto de Saúde Coletiva (ISC), Universidade Federal de Mato Grosso (UFMT), Cuiabá (MT), Brazil.

PhD. Biologist and Assistant Professor, Centro Multidisciplinar, Universidade Federal do Acre (UFAC), Rio Branco (AC), Brazil.

出版信息

Sao Paulo Med J. 2022 Sep-Oct;140(5):668-675. doi: 10.1590/1516-3180.2021.0711.R1.20122021.

DOI:10.1590/1516-3180.2021.0711.R1.20122021
PMID:35920533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9514868/
Abstract

BACKGROUND

The Respiratory Syndromes Surveillance System was created by the Brazilian Ministry of Health in 2000 to monitor influenza in this country. With the emergence of the new coronavirus pandemic, it became incorporated into the surveillance network for influenza and other respiratory viruses.

OBJECTIVE

To analyze the transmission of coronavirus disease 2019 (COVID-19) and severe acute respiratory syndrome (SARS) in the state of Acre through its hierarchical urban network.

DESIGN AND SETTING

Cross-sectional, descriptive and ecological study, using a spatiotemporal approach and using secondary data. This study was conducted in the state of Acre, northern Brazil.

METHODS

This study used secondary data, and epidemiological weeks and municipalities were taken to be the units of analysis. Incidence rates and kernel intensities were calculated for four study periods. Spatiotemporal analysis was performed using scan statistics to identify clusters of SARS cases and considering the population of each municipality.

RESULTS

In general, it could be observed that there were higher kernel rates and intensities in municipalities located in the north and south of this state (i.e. its most populous municipalities).

CONCLUSION

Priority areas for interventions to control transmission of COVID-19 were highlighted, with the aim of reducing the risks of transmission to more distant areas in the urban hierarchy of the state of Acre.

摘要

背景

巴西卫生部于 2000 年创建了呼吸综合征监测系统,以监测该国的流感情况。随着新型冠状病毒大流行的出现,该系统被纳入了流感和其他呼吸道病毒的监测网络。

目的

通过巴西阿克里州的分层城市网络分析 2019 年冠状病毒病(COVID-19)和严重急性呼吸综合征(SARS)的传播情况。

设计和设置

本研究采用了横断面、描述性和生态学研究方法,使用时空方法和二次数据。该研究在巴西北部的阿克里州进行。

方法

本研究使用了二次数据,以流行病学周和市/镇作为分析单位。在四个研究期间计算了发病率和核密度强度。使用扫描统计对 SARS 病例进行时空分析,并考虑了每个市/镇的人口。

结果

总体而言,观察到位于该州北部和南部的市/镇(即人口最多的市/镇)的核密度率和强度更高。

结论

突出了干预措施的优先领域,以控制 COVID-19 的传播,旨在降低该州城市等级中更偏远地区传播的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/309b731c0554/1806-9460-1516-3180-2021-0711-R1-20122021-gf5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/667756988269/1806-9460-1516-3180-2021-0711-R1-20122021-gf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/80b3ab853c22/1806-9460-1516-3180-2021-0711-R1-20122021-gf2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/73c1fec814c5/1806-9460-1516-3180-2021-0711-R1-20122021-gf3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/36295ed42c45/1806-9460-1516-3180-2021-0711-R1-20122021-gf4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/309b731c0554/1806-9460-1516-3180-2021-0711-R1-20122021-gf5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/667756988269/1806-9460-1516-3180-2021-0711-R1-20122021-gf1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/80b3ab853c22/1806-9460-1516-3180-2021-0711-R1-20122021-gf2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/73c1fec814c5/1806-9460-1516-3180-2021-0711-R1-20122021-gf3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/36295ed42c45/1806-9460-1516-3180-2021-0711-R1-20122021-gf4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1108/9514868/309b731c0554/1806-9460-1516-3180-2021-0711-R1-20122021-gf5.jpg

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本文引用的文献

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Epidemiol Serv Saude. 2020 Nov 6;29(5):e2020644. doi: 10.1590/S1679-49742020000500021. eCollection 2020.
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Severe Acute Respiratory Syndrome in Pernambuco: comparison of patterns before and during the COVID-19 pandemic.伯南布哥州的严重急性呼吸综合征:COVID-19大流行之前和期间的模式比较。
Cien Saude Colet. 2020 Oct;25(suppl 2):4141-4150. doi: 10.1590/1413-812320202510.2.29452020. Epub 2020 Aug 10.
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Factors associated with Severe Acute Respiratory Syndrome in a Brazilian central region.
与巴西中部地区严重急性呼吸综合征相关的因素。
Cien Saude Colet. 2020 Oct;25(suppl 2):4121-4130. doi: 10.1590/1413-812320202510.2.26802020. Epub 2020 Aug 12.
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Space-Time Patterns, Change, and Propagation of COVID-19 Risk Relative to the Intervention Scenarios in Bangladesh.时空模式、变化以及孟加拉国干预情景下 COVID-19 风险的传播。
Int J Environ Res Public Health. 2020 Aug 14;17(16):5911. doi: 10.3390/ijerph17165911.
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