Jorge X. Velasco‐Hernández

ORCID: 0000-0002-5604-7719
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About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Evolution and Genetic Dynamics
  • Mosquito-borne diseases and control
  • COVID-19 Pandemic Impacts
  • SARS-CoV-2 and COVID-19 Research
  • Viral Infections and Vectors
  • Evolutionary Game Theory and Cooperation
  • Ecology and Vegetation Dynamics Studies
  • Trypanosoma species research and implications
  • Zoonotic diseases and public health
  • Plant and animal studies
  • Viral Infections and Outbreaks Research
  • Ecosystem dynamics and resilience
  • Reservoir Engineering and Simulation Methods
  • Hydraulic Fracturing and Reservoir Analysis
  • Research on Leishmaniasis Studies
  • Influenza Virus Research Studies
  • Groundwater flow and contamination studies
  • HIV Research and Treatment
  • Mathematical Biology Tumor Growth
  • HIV, Drug Use, Sexual Risk
  • Gene Regulatory Network Analysis
  • Data-Driven Disease Surveillance
  • Respiratory viral infections research

Universidad Nacional Autónoma de México
2014-2024

Universidad Autónoma del Estado de Hidalgo
2021

Universidade Federal de São Carlos
2021

Czech Academy of Sciences, Institute of Mathematics
2017-2021

California University of Pennsylvania
2021

Institute of Mathematical Sciences
2020

Universidad de Sonora
2020

Autonomous University of Queretaro
2015-2016

Santa Fe Institute
2014

Pontificia Universidad Católica de Chile
2014

Models of metapopulations have focused on the effects extinction and colonization rate upon metapopulation persistence dynamics, assuming static landscapes wherein patches are neither created nor go extinct. However, for species living in ephemeral (patchy) habitats, highly dynamic rather than static. In this article, we develop a lattice model, patch occupancy type, based interacting particle systems that incorporate explicitly both dynamics. Under scenario, study different regimes dynamics...

10.1086/303407 article EN The American Naturalist 2000-11-01

ABSTRACT COVID-19 pandemic has underlined the impact of emergent pathogens as a major threat for human health. The development quantitative approaches to advance comprehension current outbreak is urgently needed tackle this severe disease. In work, several mathematical models are proposed represent SARS-CoV-2 dynamics in infected patients. Considering different starting times infection, parameters sets that infectivity computed and compared with other viral infections can also cause...

10.1101/2020.03.26.20044487 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-03-30

For mitigating the COVID-19 pandemic, much emphasis is made on implementing non-pharmaceutical interventions to keep reproduction number below one. However, using that objective ignores some of these interventions, like bans public events or lockdowns, must be transitory and as short possible because their significant economic societal costs. Here, we derive a simple mathematically rigorous criterion for designing optimal epidemic outbreaks. We find reducing one sufficient but not necessary....

10.1098/rsif.2020.0803 article EN cc-by Journal of The Royal Society Interface 2021-05-01

Many studies have shown that vaccines are not completely effective, meaning a vaccinated population includes both people who develop immunity from the vaccine and those who, despite being vaccinated, do not. This can be problematic, as some individuals may mistakenly believe they fully protected cannot acquire disease. perception significantly influence behavior, leading to less diligent in following preventive or mitigation measures. Motivated by above, we examine how behavioral changes...

10.1101/2025.02.21.25322689 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2025-02-23

Epidemiological models contain a set of parameters that must be adjusted based on available observations. Once model has been calibrated, it can used as forecasting tool to make predictions and evaluate contingency plans. It is customary employ only point estimators for such predictions. However, some may fit the same data reasonably well broad range parameter values, this flexibility means stemming from will vary widely, depending particular values employed within give good fit. When are...

10.1088/1478-3975/abb115 article EN other-oa Physical Biology 2020-08-20

Since the start of still ongoing COVID-19 pandemic, there have been many modeling efforts to assess several issues importance public health. In this work, we review theory behind some important mathematical models that used answer questions raised by development pandemic. We revisiting basic properties simple Kermack-McKendrick type models. Then, discuss extensions such and epidemiological quantities applied investigate role heterogeneity in disease transmission e.g. mixing functions...

10.1007/s40324-021-00260-3 article EN other-oa SeMA Journal 2021-07-28

November 2020 received a string of encouraging results from leading vaccine developers raising hopes for the imminent availability an effective and safe against SARS-CoV-2. In present work, we discuss theoretical impact introducing across range scenarios. particular, investigate how vaccination coverage, efficacy delivery time affect control transmission dynamics in comparison to mobility restrictions. The analysis is based on metapopulation epidemic model structured by risk. We perform...

10.1098/rsos.202240 article EN cc-by Royal Society Open Science 2021-06-01

Vaccination that gives partial protection for both newborns andsusceptibles is included in a transmission model diseasethat confers no immunity. A general form of the vaccine waningfunction assumed, and interplay this together with thevaccine efficacy vaccination rates discussed. Theintegro-differential system describing studied aconstant waning rate, which case it reduces to an ODEsystem, constant period, reducesto delay differential equations. For some parametervalues, shown exhibit...

10.3934/dcdsb.2004.4.479 article EN cc-by Discrete and Continuous Dynamical Systems - B 2004-01-01

Using a model which describes the interaction of immune system with human immunodeficiency virus (HIV), we introduce feedback control strategy chemotherapy in an early treatment setting, where represents percentage effect has on viral production. We seek to regulate count by manipulating show via numerical simulations that proposed can handle strong uncertainties HIV dynamics induced imperfect modeling and sampled/delayed cell measurements.

10.1142/s0218127400001377 article EN International Journal of Bifurcation and Chaos 2000-09-01
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