Methodological guidelines for circadian modeling of Daylight Saving Time: application to the United States
Martin-Olalla, J. M.; Mira, J.
Show abstract
Modeling the circadian impact of seasonal clock changing requires precise synchronization between solar and social time. This report critiques a recent study that associated disease prevalence in the United States with seasonal clock exposure. We identify a fundamental computational error in which a sign reversal of the longitudinal offset effectively inverted the US East-West axis, cross-correlating local health data with the circadian burden of hypothetical locations on the opposite side of a time zone. We outline the methodology for a correct modelization of the circadian process in the context of US geography.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mathematical analysis of light-sensitivity related challenges in assessment of the intrinsic period of the human circadian pacemaker 93%
- dlmoR: An open-source R package for the dim-light melatonin onset (DLMO) hockey-stick method 92%
- How to deal with darkness: Modeling and visualization of zero-inflated personal light exposure data on a logarithmic scale 91%
Similar papers in this journal
Similar papers in this journal
- Does behavior mediate the effect of weather on SARS-CoV-2 transmission? Evidence from cell-phone data 91%
- Causal analysis of COVID-19 observational data in German districts reveals effects of mobility, awareness, and temperature 90%
- Was R < 1 before the English lockdowns? On modelling mechanistic detail, causality and inference about Covid-19 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.