Empedoclean epic: how far can you go?

Nelis, Damien

doi:10.4000/dictynna.1057

Cited by 3 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…46 See Gale (2004) 35-6. As far as the chariot-simile and its multiple significance are concerned, see Nelis (2008).…”

Section: Vergilmentioning

confidence: 99%

Muses in the Sky: Lucretius’ Invocative Telestich and its Multiple Revivals in Latin Poetry

Tamás

2023

tcj

View full text Add to dashboard Cite

In the first seven lines of his opening proem, where we notoriously find a Hymn to Venus, Lucretius compensates the Muses with an invocative Muse-telestich spelling MuSAS/MuSIS, which is signposted by caeli … labentia signa and thus connected to the Aratean tradition of both heavenly and written “signs”. Moreover, Lucretius’ telestich establishes a firm tradition including (so far) Catullus, Vergil, Horace, Ovid, and Lucan, who mark some of their most emphatic—predominantly, but not exclusively, proemial—passages with variants of the Lucretian Muse-telestich and adjust them to their respective poetic programs. The Muse-telestich thus became a textual device by which Latin poets watermarked their highest poetic aspirations in exceedingly creative ways.

show abstract

“…46 See Gale (2004) 35-6. As far as the chariot-simile and its multiple significance are concerned, see Nelis (2008).…”

Section: Vergilmentioning

confidence: 99%

Muses in the Sky: Lucretius’ Invocative Telestich and its Multiple Revivals in Latin Poetry

Tamás

2023

tcj

View full text Add to dashboard Cite

show abstract

“…Usually, a stronger signal strength (higher RSSI) indicates closer distances between 2 BT devices; however, orientation, barriers, and interference can attenuate the signal strength beyond what the distance would suggest [ 49 ]. Young [ 50 ] and the Android Beacon Library [ 51 ] contributed an RSSI to the distance function based on the Nexus 4 and Apple’s iBeacon performance, which is often used as a first approximation for similar location awareness services on modern smartphones:…”

Section: Introductionmentioning

confidence: 99%

Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach

Qian,

Cooke,

Stanley

et al. 2024

J Med Internet Res

View full text Add to dashboard Cite

Background Accurate and responsive epidemiological simulations of epidemic outbreaks inform decision-making to mitigate the impact of pandemics. These simulations must be grounded in quantities derived from measurements, among which the parameters associated with contacts between individuals are notoriously difficult to estimate. Digital contact tracing data, such as those provided by Bluetooth beaconing or GPS colocating, can provide more precise measures of contact than traditional methods based on direct observation or self-reporting. Both measurement modalities have shortcomings and are prone to false positives or negatives, as unmeasured environmental influences bias the data. Objective We aim to compare GPS colocated versus Bluetooth beacon–derived proximity contact data for their impacts on transmission models’ results under community and types of diseases. Methods We examined the contact patterns derived from 3 data sets collected in 2016, with participants comprising students and staff from the University of Saskatchewan in Canada. Each of these 3 data sets used both Bluetooth beaconing and GPS localization on smartphones running the Ethica Data (Avicenna Research) app to collect sensor data about every 5 minutes over a month. We compared the structure of contact networks inferred from proximity contact data collected with the modalities of GPS colocating and Bluetooth beaconing. We assessed the impact of sensing modalities on the simulation results of transmission models informed by proximate contacts derived from sensing data. Specifically, we compared the incidence number, attack rate, and individual infection risks across simulation results of agent-based susceptible-exposed-infectious-removed transmission models of 4 different contagious diseases. We have demonstrated their differences with violin plots, 2-tailed t tests, and Kullback-Leibler divergence. Results Both network structure analyses show visually salient differences in proximity contact data collected between GPS colocating and Bluetooth beaconing, regardless of the underlying population. Significant differences were found for the estimated attack rate based on distance threshold, measurement modality, and simulated disease. This finding demonstrates that the sensor modality used to trace contact can have a significant impact on the expected propagation of a disease through a population. The violin plots of attack rate and Kullback-Leibler divergence of individual infection risks demonstrated discernible differences for different sensing modalities, regardless of the underlying population and diseases. The results of the t tests on attack rate between different sensing modalities were mostly significant (P<.001). Conclusions We show that the contact networks generated from these 2 measurement modalities are different and generate significantly different attack rates across multiple data sets and pathogens. While both modalities offer higher-resolution portraits of contact behavior than is possible with most traditional contact measures, the differential impact of measurement modality on the simulation outcome cannot be ignored and must be addressed in studies only using a single measure of contact in the future.

show abstract

Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach (Preprint)

Qian¹,

Cooke²,

Stanley³

et al. 2022

Preprint

View full text Add to dashboard Cite

BACKGROUND The COVID-19 pandemic has highlighted the need for accurate and responsive epidemiological simulations of epidemic outbreaks. These simulations must be grounded in quantities derived from the measurements, for example of the period over which a person is infectious or the mortality rate of the disease. Particularly difficult parameters to estimate are those associated with contacts between individuals. Digital contact tracing data, such as that provided by Bluetooth beaconing or GPS co-locating, can provide more precise measures of contact than traditional methods based on direct observation or self-reporting. Both measurement modalities have shortcomings and are prone to false positives or negatives as unmeasured environmental influences bias the data. OBJECTIVE In this paper, we compare GPS co-located versus Bluetooth beacon derived proximity contact data for their impacts on transmission models’ results, under community and types of diseases. METHODS We examine the contact patterns derived from three previously collected datasets employing both Bluetooth beaconing and GPS localization on smartphones running the Ethica Data app. We compared the structure of contact networks inferred from proximity contact data collected with modalities of GPS co-locating and Bluetooth beaconing. We assessed the impact of sensing modalities on simulation results of transmission models informed by proximate contacts derived from sensing data. Specifically, we compared the incidence number, attack rate, and individual infection risks across simulation results of agent-based Susceptible, Exposed, Infectious, Recovered (SEIR) transmission models of four different contagious diseases. We demonstrate their differences with violin plots, t-tests, and Kullback-Leibler (KL) divergence. RESULTS Both the network structure analyses show visually salient differences between GPS co-locating and Bluetooth beaconing collected proximity contact data, regardless of the underlying population. The violin plots of attack rate and KL-divergence of individual infection risks demonstrate discernible differences for different sensing modalities regardless of the underlying population and diseases. The results of t-tests on attack rate between different sensing modalities are mostly significant, with P-value less than 0.001. CONCLUSIONS We show that the contact networks generated from these two measurement modalities are different and generate significantly different attack rates across multiple datasets and pathogens. While both modalities offer higher resolution portraits of contact behavior than is possible with most traditional contact measures, the differential impact of measurement modality on simulation outcome cannot be ignored.

show abstract

Empedoclean epic: how far can you go?

Cited by 3 publications

References 5 publications

Muses in the Sky: Lucretius’ Invocative Telestich and its Multiple Revivals in Latin Poetry

Muses in the Sky: Lucretius’ Invocative Telestich and its Multiple Revivals in Latin Poetry

Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach

Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach (Preprint)

Contact Info

Product

Resources

About