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2008 - 2022年巴西北部亚马逊地区罗赖马州原住民因疟疾住院情况

Hospitalization for malaria in the indigenous population of Roraima, in Brazil's Northern Amazon, 2008-2022.

作者信息

Alves Mário Ribeiro, Fonseca Mary Hellem Silva, Sant'Anna Nilma Vitor, Rafael Ricardo de Mattos Russo, Faria Magda Guimarães de Araujo, Neto Mercedes

机构信息

Universidade do Estado do Rio de Janeiro, Programa de Pós-graduação em Enfermagem, Faculdade de Enfermagem, Rio de Janeiro, Brasil.

Universidade do Estado do Rio de Janeiro, Departamento de Enfermagem de Saúde Pública e Programa de Pós-graduação em Enfermagem, Faculdade de Enfermagem, Rio de Janeiro, Brasil.

出版信息

IJID Reg. 2024 Jun 14;12:100388. doi: 10.1016/j.ijregi.2024.100388. eCollection 2024 Sep.

DOI:10.1016/j.ijregi.2024.100388
PMID:39104380
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11298884/
Abstract

OBJECTIVES

To examine the epidemiology of hospitalized cases of malaria in indigenous people living in the municipalities of Roraima in the northern Brazilian Amazon from 2008 to 2022.

METHODS

Ecological study using secondary data and spatiotemporal analyses based on thematic maps. Average rates were calculated per study period and spatiotemporal clusters were estimated from spatial statistics.

RESULTS

Of the 541 medical records, 77.08% were related to . Higher rates were observed in municipalities in the south and center of the state. The rates increased throughout the study period. The analysis generated three clusters.

CONCLUSIONS

Although Roraima has characteristics that worsen the malaria problem, no studies were found that examined the transmission of the disease in the state as a whole. This increases the importance of this study, which contributes to the discussion in the field of indigenous health.

摘要

目的

研究2008年至2022年居住在巴西北部亚马逊州罗赖马市各自治市的原住民疟疾住院病例的流行病学情况。

方法

利用二手数据进行生态学研究,并基于专题地图进行时空分析。计算每个研究期间的平均发病率,并通过空间统计估计时空聚集情况。

结果

在541份病历中,77.08%与……相关。该州南部和中部的自治市发病率较高。在整个研究期间发病率呈上升趋势。分析产生了三个聚集区。

结论

尽管罗赖马州存在使疟疾问题恶化的特征,但未发现有研究考察该州整体的疾病传播情况。这增加了本研究的重要性,其有助于土著健康领域的讨论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d50e/11298884/cb97561f3a3e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d50e/11298884/e8b987433c9a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d50e/11298884/4657de709123/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d50e/11298884/cb97561f3a3e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d50e/11298884/e8b987433c9a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d50e/11298884/4657de709123/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d50e/11298884/cb97561f3a3e/gr3.jpg

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