Publications by authors named "Edilson Flores"

Introduction: Dengue is a public health challenge worldwide. Brazil registered about 70% of cases in Latin America in 2023; in 2024, the country is experiencing an unprecedented increase in the number of infected individuals. By May 2024, more than 4 million people were infected.

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We investigated the distribution of dengue cases, solid waste deposits (SWDs), forest fragments, water drainage, population income, and the possible association with dengue outbreaks in Presidente Prudente, São Paulo, Brazil. An urban setting with recent transmission. Data were obtained from public agencies.

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Visceral leishmaniasis (VL) is a public health problem in Brazilian municipalities. As much as there is a planning of public policies regards VL in São Paulo State, new cases have been reported and spread. This paper aims to discuss how the Center for Zoonoses Control conducts its actions spatially in endemic city of Presidente Prudente, São Paulo State.

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Co-epidemics of COVID-19 and dengue in dengue-endemic countries represent a serious public health concern. In Brazil, São Paulo state ranks first for cases and deaths from COVID-19, and dengue is endemic in most regions of the country. In 2020, an outbreak of dengue occurred in western São Paulo.

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Article Synopsis
  • Visceral leishmaniasis (VL) is a serious disease that affects a lot of people, especially in Brazil, where many cases are found in the São Paulo state.
  • Researchers studied VL in 45 areas to see how it spreads by looking at both human and dog cases, as well as factors like the environment.
  • They discovered that certain areas, especially Teodoro Sampaio, have higher rates of the disease, and found that there are 11 regions where efforts should be increased to help control and monitor VL.
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Hepatitis virus infection is a major public health problem worldwide. Currently, Brazil has almost 700,000 cases. The Brazilian Unified Health System (SUS) provides therapeutic regimens for people infected with hepatitis C virus (HCV).

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Objective: To determine the prevalence and epidemiological characteristics of inmates diagnosed with infectious diseases living in a region with a high number of prisons, São Paulo, Brazil.

Design: This is a retrospective and descriptive study conducted from November 2017 to October 2018.

Setting: Prisons located in the western and northwestern regions of São Paulo, Brazil.

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Primary immunodeficiencies (PIDs) are rare genetic disorders leading to immunologic abnormalities that can affect different organs and systems. We determined the epidemiology, clinical, and geospatial characteristics of PID disorders among patients diagnosed over a 5 year period in a reference hospital covering a mesoregion in São Paulo, Brazil. A retrospective analysis of 39 patients with recognizable PIDs according to the criteria of the European Society of Primary Immunodeficiencies were enrolled.

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Article Synopsis
  • Brazil has the highest cases of human visceral leishmaniasis (HVL) in Latin America, and it's spreading in cities like Presidente Prudente.
  • Researchers studied the environment and dog health from 2009 to 2015 to understand how and where the disease is spreading.
  • They found sand flies that spread the disease, a small number of infected dogs, and some cases in people; certain areas with trash and water also seemed to have higher risks.
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Background: Visceral leishmaniasis (VL) is becoming endemic in São Paulo state, in the southeastern region of Brazil. Unusual manifestations with non-specific signs and symptoms may make diagnosis difficult and delay treatment, increasing the risk of severity and death, particularly in new endemic areas. There are few studies on patients with these characteristics in Brazil.

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Introduction: Malaria is a serious problem in the Brazilian Amazon region, and the detection of possible risk factors could be of great interest for public health authorities. The objective of this article was to investigate the association between environmental variables and the yearly registers of malaria in the Amazon region using bayesian spatiotemporal methods.

Methods: We used Poisson spatiotemporal regression models to analyze the Brazilian Amazon forest malaria count for the period from 1999 to 2008.

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