Publications by authors named "R Carrasco-Hernandez"

Article Synopsis
  • The study emphasizes the need for flexible modeling approaches, specifically random-effects regression, to better understand the dynamics of infectious diseases such as HIV in evolving host populations.
  • By analyzing plasma viral load (pVL) data from 7,325 ART-naïve HIV patients in Mexico City between 2019 and 2021, the research reveals significant functional changes over time that a fixed-effects model couldn't fully capture.
  • The findings indicate a stronger negative correlation between pVL and CpG content in the HIV pol gene, suggesting that changes in the immune environment may influence viral load dynamics, highlighting the importance of molecular factors in disease progression.
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Detection of viral transmission clusters using molecular epidemiology is critical to the response pillar of the Ending the HIV Epidemic initiative. Here, we studied whether inference with an incomplete dataset would influence the accuracy of the reconstructed molecular transmission network. We analyzed viral sequence data available from ~ 13,000 individuals with diagnosed HIV (2012-2019) from Houston Health Department surveillance data with 53% completeness (n = 6852 individuals with sequences).

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This article aims to conduct a techno-economic feasibility assessment of producing energy by waste incineration and methane capture in the central region of Mexico. Three scenarios at different efficiency rates were considered: 50, 80 and 100%. For the methane project, yields and power capacity were determined using the potential generation rate and the degradable organic carbon content through the LandGEM model.

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In the Americas, infectious viral diseases caused by viruses of the genus Mammarenavirus have been reported since the 1960s. Such diseases have commonly been associated with land use changes, which favor abundance of generalist rodent species. In the Americas-where the rates of land use change are among the highest worldwide-at least 1326 of all 2277 known rodent species have been reported.

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Article Synopsis
  • The study focused on developing a statistical model to identify U.S. counties at high risk of overdose mortality, particularly due to the rise of fentanyl since 2013.
  • It employed mixed-effects negative binomial regression to predict annual overdose death rates from 2013 to 2018 using various county-level data related to healthcare access, demographics, and drug markets.
  • The model's predictions were validated against actual overdose mortality data, evaluating accuracy through statistical measures like mean average error and correlation coefficients.
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