A Transmission Reduction using Distributed Rendering for Cloud AR

Haruhisa Kato; Masaru Sugano; Sei Naito

doi:10.3169/itej.75.290

Hybrid Tiled Display System Combining Distributed Rendering and Streaming

TECHART Journal of Arts and Imaging Science ◽

10.15323/techart.2015.02.2.1.74 ◽

2015 ◽

Vol 2 (1) ◽

pp. 74

Author(s):

Youngjoon Chai

Keyword(s):

Display System ◽

Tiled Display ◽

Distributed Rendering

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Optimal Control for a COVID-19 Model Accounting for Symptomatic and Asymptomatic

Computational and Mathematical Biophysics ◽

10.1515/cmb-2020-0109 ◽

2020 ◽

Vol 8 (1) ◽

pp. 168-179

Author(s):

Jead M. Macalisang ◽

Mark L. Caay ◽

Jayrold P. Arcede ◽

Randy L. Caga-anan

Keyword(s):

Optimal Control ◽

Control Theory ◽

Medical Care ◽

Optimal Control Theory ◽

Comparable Result ◽

Type Model ◽

Hospital Beds ◽

Transmission Reduction ◽

Bed Capacity ◽

The Government

AbstractBuilding on an SEIR-type model of COVID-19 where the infecteds are further divided into symptomatic and asymptomatic, a system incorporating the various possible interventions is formulated. Interventions, also referred to as controls, include transmission reduction (e.g., lockdown, social distancing, barrier gestures); testing/isolation on the exposed, symptomatic and asymptomatic compartments; and medical controls such as enhancing patients’ medical care and increasing bed capacity. By considering the government’s capacity, the best strategies for implementing the controls were obtained using optimal control theory. Results show that, if all the controls are to be used, the more able the government is, the more it should implement transmission reduction, testing, and enhancing patients’ medical care without increasing hospital beds. However, if the government finds it very difficult to implement the controls for economic reasons, the best approach is to increase the hospital beds. Moreover, among the testing/isolation controls, testing/isolation in the exposed compartment is the least needed when there is significant transmission reduction control. Surprisingly, when there is no transmission reduction control, testing/isolation in the exposed should be optimal. Testing/isolation in the exposed could seemingly replace the transmission reduction control to yield a comparable result to that when the transmission reduction control is being implemented.

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Genotyping cognate Plasmodium falciparum in humans and mosquitoes to estimate onward transmission of asymptomatic infections

Nature Communications ◽

10.1038/s41467-021-21269-2 ◽

2021 ◽

Vol 12 (1) ◽

Cited By ~ 2

Author(s):

Kelsey M. Sumner ◽

Elizabeth Freedman ◽

Lucy Abel ◽

Andrew Obala ◽

Brian W. Pence ◽

...

Keyword(s):

Plasmodium Falciparum ◽

Odds Ratio ◽

Asymptomatic Malaria ◽

Major Contributor ◽

Western Kenya ◽

High Transmission ◽

Transmission Reduction ◽

Asymptomatic Infections ◽

Infection Types ◽

Natural Settings

AbstractMalaria control may be enhanced by targeting reservoirs of Plasmodium falciparum transmission. One putative reservoir is asymptomatic malaria infections and the scale of their contribution to transmission in natural settings is not known. We assess the contribution of asymptomatic malaria to onward transmission using a 14-month longitudinal cohort of 239 participants in a high transmission site in Western Kenya. We identify P. falciparum in asymptomatically- and symptomatically-infected participants and naturally-fed mosquitoes from their households, genotype all parasites using deep sequencing of the parasite genes pfama1 and pfcsp, and use haplotypes to infer participant-to-mosquito transmission through a probabilistic model. In 1,242 infections (1,039 in people and 203 in mosquitoes), we observe 229 (pfcsp) and 348 (pfama1) unique parasite haplotypes. Using these to link human and mosquito infections, compared with symptomatic infections, asymptomatic infections more than double the odds of transmission to a mosquito among people with both infection types (Odds Ratio: 2.56; 95% Confidence Interval (CI): 1.36–4.81) and among all participants (OR 2.66; 95% CI: 2.05–3.47). Overall, 94.6% (95% CI: 93.1–95.8%) of mosquito infections likely resulted from asymptomatic infections. In high transmission areas, asymptomatic infections are the major contributor to mosquito infections and may be targeted as a component of transmission reduction.

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