Disease burden of congenital Zika virus syndrome in Brazil and its association with socioeconomic data

被引:5
|
作者
Vilharba, Bruna Luiza de Amorin [1 ]
Yamamura, Mellina [2 ]
de Azevedo, Micael Viana [3 ]
Fernandes, Wagner de Souza [4 ]
Santos-Pinto, Claudia Du Bocage [3 ]
de Oliveira, Everton Falcao [1 ,3 ]
机构
[1] Univ Fed Mato Grosso do Sul, Programa Posgrad Doencas Infecciosas & Parasitaria, Campo Grande, MS, Brazil
[2] Univ Fed Sao Carlos, Dept Enfermagem, Sao Carlos, SP, Brazil
[3] Univ Fed Mato Grosso do Sul, Fac Med, Campo Grande, MS, Brazil
[4] Univ Fed Mato Grosso do Sul, Hosp Univ Maria Aparecida Pedrossian HUMAP EBSERH, Campo Grande, MS, Brazil
关键词
SPATIAL-DISTRIBUTION; GLOBAL BURDEN; STATE; TERRITORIES; PERNAMBUCO; INFECTION; REGION;
D O I
10.1038/s41598-023-38553-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Zika virus (ZIKV) infection became a global public health concern, causing an epidemic in Latin America from 2015 to 2016, when a sudden increase in cases of microcephaly and other congenital anomalies was observed. In 2016, the Centers for Disease Control and Prevention and the World Health Organization defined congenital Zika-associated syndrome (CZS) as a set of congenital anomalies seen in children born to mothers with a history of gestational Zika fever, who have microcephaly as the most prevalent clinical sign. In order to describe the magnitude of CZS in Brazil, this study estimated the burden of disease due to CZS in Brazil using the disability-adjusted life years (DALY) indicator and other frequency measures, such as incidence and mortality rate, during the years 2015-2020. The association of these indicators with socioeconomic variables was also evaluated using Spearman's correlation coefficient. Choropleth maps were used to evaluate the spatial distribution of the indicators evaluated and the spatial autocorrelation was verified by the Bivariate Moran Local Index. From 2015 to 2020, 3,591 cases of CZS were confirmed in Brazil, with an incidence of 44.03 cases per 1000 live births, and a specific mortality of 12.35 deaths per 1000 live births. A global loss of 30,027.44 DALYs was estimated from 2015 to 2020. The Northeast region had the highest values for all health indicators assessed. Spatial correlation and autocorrelation analyses showed significant associations between health and socioeconomic indicators, such as per capita income, Gini index, illiteracy rate and basic sanitation. The study allowed us to have access to all reported cases of CZS, showing us the possible situation of the disease in Brazil; therefore, we believe that our results can help in the understanding of future studies.
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页数:11
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