A5031890151- COVID-19 epidemiological studies
- SARS-CoV-2 and COVID-19 Research
- Vaccine Coverage and Hesitancy
- Evolution and Genetic Dynamics
- Urban, Neighborhood, and Segregation Studies
- HIV/AIDS drug development and treatment
- Homelessness and Social Issues
- Respiratory viral infections research
- Virology and Viral Diseases
- Neural dynamics and brain function
- Neurobiology and Insect Physiology Research
- HIV Research and Treatment
- COVID-19 Clinical Research Studies
- COVID-19 Pandemic Impacts
- Data-Driven Disease Surveillance
- Language and cultural evolution
- Advanced Memory and Neural Computing
- Neural and Behavioral Psychology Studies
- Quantum Chromodynamics and Particle Interactions
- COVID-19 and Mental Health
- Viral Infections and Outbreaks Research
- Mental Health Research Topics
- Evolutionary Game Theory and Cooperation
- Black Holes and Theoretical Physics
- Noncommutative and Quantum Gravity Theories
Johns Hopkins University
2021-2025
Harvard University
2018-2022
Evolutionary Genomics (United States)
2021
In the absence of pharmaceutical interventions, social distancing is being used worldwide to curb spread COVID-19. The impact these measures has been inconsistent, with some regions rapidly nearing disease elimination and others seeing delayed peaks or nearly flat epidemic curves. Here we build a stochastic model examine effects COVID-19 clinical progression transmission network structure on outcomes interventions. Our simulations show that long delays between adoption control observed...
Abstract Massive unemployment during the COVID-19 pandemic could result in an eviction crisis US cities. Here we model effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households a theoretical metropolitan area. We recreate range urban epidemic trajectories project course under two counterfactual scenarios, one which strict moratorium is place enforced, another are allowed to resume at baseline or increased rates. find, across that lead significant...
Abstract The COVID-19 pandemic is straining public health systems worldwide and major non-pharmaceutical interventions have been implemented to slow its spread 1-4 . During the initial phase of outbreak was primarily determined by human mobility 5,6 Yet empirical evidence on effect key geographic factors local epidemic lacking 7 We analyse highly-resolved spatial variables for cities in China together with case count data order investigate role climate, urbanization, variation across China....
The soft factorization theorem for 4D abelian gauge theory states that the $\mathcal{S}$-matrix factorizes into and hard parts, with universal part containing all collinear poles. Similarly, correlation functions on sphere in a 2D CFT $U(1)$ Kac-Moody current algebra factorize non-current factors, factor fully determined by its pole structure. In this paper, we show these factorizations are mathematically same phenomena. `tHooft-Wilson lines photons realized as complexified celestial at null...
Vaccines are a crucial tool for controlling infectious diseases, yet rarely offer perfect protection. ‘Vaccine efficacy’ describes population-level effect measured in clinical trials, but mathematical models used to evaluate the impact of vaccination campaigns require specifying how vaccines fail at individual level, which is often impossible measure. Does 90% efficacy imply protection people and no 10% (‘all-or-nothing’) or that per-exposure risk reduced by all vaccinated individuals...
The spread of SARS-CoV-2, like that many other pathogens, is governed by heterogeneity. "Superspreading," or "over-dispersion," an important factor in transmission, yet it hard to quantify. Estimates from contact tracing data are prone potential biases due the increased likelihood detecting large clusters cases, and may reflect variation behavior more than biological In contrast, average number secondary infections per routinely estimated household surveys, these studies can minimize testing...
Abstract In the absence of pharmaceutical interventions, social distancing is being used worldwide to curb spread COVID-19. The impact these measures has been inconsistent, with some regions rapidly nearing disease elimination and others seeing delayed peaks or nearly flat epidemic curves. Here we build a stochastic model examine effects COVID-19 clinical progression transmission network structure on outcomes interventions. Our simulations show that long delays between adoption control...
Abstract Massive unemployment during the COVID-19 pandemic could result in an eviction crisis US cities. Here we model effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households a theoretical metropolitan area. We recreate range urban epidemic trajectories project course under two counterfactual scenarios, one which strict moratorium is place enforced, another are allowed to resume at baseline or increased rates. find, across that lead significant...
The emergence of drug resistance during antimicrobial therapy is a major global health problem, especially for chronic infections like human immunodeficiency virus, hepatitis B and C, tuberculosis. Sub-optimal adherence to long-term treatment an important contributor risk. New long-acting drugs are being developed weekly, monthly or less frequent dosing improve adherence, but may lead exposure intermediate levels. In this study, we analyse the effect frequency on risk evolving time-varying...
Vaccines are a crucial tool for controlling infectious diseases, yet rarely offer perfect protection. "Vaccine efficacy" describes population-level effect measured in clinical trials, but mathematical models used to evaluate the impact of vaccination campaigns require specifying how vaccines fail at individual level, which is often impossible measure. Does 90% efficacy imply protection people and no 10% ("all-or-nothing"), or that per-exposure risk reduced by all vaccinated individuals...
In almost all animals, the transfer of information from brain to motor circuitry is facilitated by a relatively small number neurons, leading constraint on amount that can be transmitted. Our knowledge how animals encode through this pathway, and consequences encoding, however, limited. study, we use simple feed-forward neural network investigate having such bottleneck identify aspects architecture enable robust transfer. We are able explain some recently observed properties descending...
The spread of SARS-CoV-2, like that many other pathogens, is governed by heterogeneity. "Superspreading," or "over-dispersion," an important factor in transmission, yet it hard to quantify. Estimates from contact tracing data are prone potential biases due the increased likelihood detecting large clusters cases, and may reflect variation behavior more than biological In contrast, average number secondary infections per routinely estimated household surveys, these studies can minimize testing...
Evolutionary Game Theory (EGT) simulations are used to model populations undergoing biological and cultural evolution in a range of fields, from biology economics linguistics. In this paper we present DyPy, an open source Python package that can perform evolutionary for any matrix form game three common dynamics: Moran, Wright-Fisher Replicator. We discuss the basic components illustrate how it be run variety simulations. Our allows user such fairly easily without much prior knowledge. hope...
Abstract The emergence of drug resistance during antimicrobial therapy is a major global health problem, especially for chronic infections like HIV, hepatitis B and C, TB. Sub-optimal adherence to long-term treatment an important contributor risk. New long-acting drugs are being developed weekly, monthly, or less frequent dosing improve adherence, but may lead exposure intermediate levels. In this study we analyze the effect frequency on risk evolving time-varying We find that therapies can...
In almost all animals, the transfer of information from brain to motor circuitry is facilitated by a relatively small number neurons, leading constraint on amount that can be transmitted. Our knowledge how animals encode through this pathway, and consequences encoding, however, limited. study, we use simple feed-forward neural network investigate having such bottleneck identify aspects architecture enable robust transfer. We are able explain some recently observed properties descending...