Publications by authors named "Jaisane Santos Melo Lobato"

Introduction: There is a need to improve knowledge and understanding of the factors associated with mortality from COVID-19 so that managers and decision-makers can implement strategies to mitigate and control the severe forms of the disease. This study aimed to determine the factors associated with deaths from COVID-19 in the state of Maranhão, in northeastern Brazil.

Methodology: This is a cross-sectional and analytical study with patients with a confirmed diagnosis of COVID-19 who died from March 2020 to January 2022.

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Article Synopsis
  • The study examines factors related to multibacillary leprosy in northeastern Brazil, highlighting its significance for public health strategies.
  • It employs a cross-sectional methodology, analyzing leprosy cases between 2008 and 2017 across 16 municipalities, focusing on sociodemographic and clinical variables.
  • The results identify specific risk factors, such as age, gender, education level, and types of disability, without noting any protective factors, which could inform future disease control strategies.
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Introduction: The objective was to analyze the prevalence trend, spatial distribution, and TB-HIV co-infection-associated factors in an endemic scenario for TB in Northeastern Brazil.

Methods: An ecological and temporal series study was conducted based on secondary data obtained from the Brazilian Notifiable Diseases Information System between January 2008 and December 2019. The prevalence rates were determined for each year and the average for the period.

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Introduction: Epidemiological investigations on tuberculosis-diabetes comorbidity using spatial analysis should be encouraged towards a more comprehensive view of the health of individuals affected by such comorbidity in different contexts. This study analyzes the territories vulnerable to tuberculosis-diabetes comorbidity in a municipality in northeastern Brazil using spatial analysis techniques.

Methods: An ecological study was carried out in Imperatriz, Maranhão, Brazil.

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Background: The detection of spatiotemporal clusters of deaths by coronavirus disease 2019 (COVID-19) is essential for health systems and services, as it contributes to the allocation of resources and helps in effective decision making aimed at disease control and surveillance. Thus we aim to analyse the spatiotemporal distribution and describe sociodemographic and clinical and operational characteristics of COVID-19-related deaths in a Brazilian state.

Methods: A descriptive and ecological study was carried out in the state of Maranhão.

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