Publications by authors named "V Sudbrack"

Article Synopsis
  • Cutaneous Leishmaniasis (CL) is a significant neglected tropical disease primarily found in the Brazilian Amazon, where diverse Leishmania parasites and vectors thrive.
  • The study analyzes how different land-use changes, such as deforestation and agriculture, influence CL incidence from 2001 to 2017, revealing that deforestation, particularly related to livestock farming, significantly raises the risk of the disease.
  • The results highlight the need for targeted public health policies and land-use planning to mitigate CL transmission risks and promote healthier environments.
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The rate at which beneficial alleles fix in a population depends on the probability of and time to fixation of such alleles. Both of these quantities can be significantly impacted by population subdivision and limited gene flow. Here, we investigate how limited dispersal influences the rate of fixation of beneficial de novo mutations, as well as fixation time from standing genetic variation.

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Article Synopsis
  • The SARS-CoV-2 pandemic highlighted the importance of vaccination strategies, particularly as vaccines became available in late 2020, with discussions around the cost-effectiveness of delaying second doses to increase first-dose coverage.
  • A new mathematical model was developed to analyze two-dose vaccination schedules and optimize vaccination rates with a focus on minimizing deaths, considering vaccine production rates and the effectiveness of first and second doses.
  • The findings suggest that the optimal timing for second doses depends on the efficacy of the first dose, vaccine production capacity, and the characteristics of each vaccine, emphasizing the need for strategic planning in vaccination campaigns.
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Since the emergence of the novel coronavirus disease 2019 (COVID-19), mathematical modelling has become an important tool for planning strategies to combat the pandemic by supporting decision-making and public policies, as well as allowing an assessment of the effect of different intervention scenarios. A proliferation of compartmental models were developed by the mathematical modelling community in order to understand and make predictions about the spread of COVID-19. While compartmental models are suitable for simulating large populations, the underlying assumption of a well-mixed population might be problematic when considering non-pharmaceutical interventions (NPIs) which have a major impact on the connectivity between individuals in a population.

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Magnetotactic microorganisms can be found as unicellular prokaryotes, as cocci, vibrions, spirilla and rods, and as multicellular organisms. Multicellular magnetotactic prokaryotes are magnetotactic microorganisms composed by several magnetotactic bacteria organized almost in a spherical helix, and one of the most studied is Candidatus Magnetoglobus multicellularis. Several studies have shown that Ca.

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