PMC:7738161 / 26391-38189 JSONTXT 2 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T184 0-10 Sentence denotes Discussion
T185 11-289 Sentence denotes Our results suggest that physical distancing measures were effective in British Columbia; we estimated that individuals practising physical distancing in British Columbia to be experiencing approximately 0.22 (0.11–0.34 90% CI) of their normal contact rate as of April 11, 2020.
T186 290-419 Sentence denotes This was below the threshold of 0.55 at which prevalence was expected to grow, which left some room to relax distancing measures.
T187 420-500 Sentence denotes These results were supported by declines in hospitalizations and ICU admissions.
T188 501-597 Sentence denotes We estimated that there was varying room to relax measures in other locations as of May 7, 2020.
T189 598-688 Sentence denotes Strong control in New Zealand suggested considerable scope for restrictions to be relaxed.
T190 689-800 Sentence denotes However, we found that there was relatively little room to relax measures in New York, Florida, and Washington.
T191 801-1019 Sentence denotes The overall picture in California, as of May 7, 2020, appeared to be that contacts were above the threshold that leads to increasing prevalence, and hence restrictions were not sufficient to curb spread of the disease.
T192 1020-1159 Sentence denotes We note that in California, and all locations considered, it is likely that there was strong regional variation around our broad estimates.
T193 1160-1281 Sentence denotes Our estimates for BC are consistent with local mobility data, and with contact patterns in other international locations.
T194 1282-1466 Sentence denotes For example, survey data from the UK [39] suggested a 73% reduction in contacts, and a modelling study found that a 70–80% reduction in contacts is consistent with data in France [13].
T195 1467-1623 Sentence denotes Our estimate of the effect of distancing on contact patterns in BC is consistent with independent lines of evidence for the strength of distancing measures.
T196 1624-1787 Sentence denotes Local rail (SkyTrain) station crowding data, provided by Metro Vancouver’s transportation authority TransLink, gives a proxy for reduction in public transport use.
T197 1788-1918 Sentence denotes Overall daytime travel was reduced by 16% for the week of March 9, 64% for the week of March 16, and 73% for the week of March 23.
T198 1919-2039 Sentence denotes Estimates on adhering to physical distancing are also available from a publicly available respondent-driven survey [20].
T199 2040-2211 Sentence denotes The survey found the rate of respondents stating that there was a serious threat of a coronavirus outbreak in Canada increased from 42% on March 5–6 to 88% on March 20–23.
T200 2212-2393 Sentence denotes For individuals who stated there was a serious threat, 89% stated they were keeping personal distance compared to 66% for individuals who did not believe there was a serious threat.
T201 2394-2677 Sentence denotes Mobile phone location data from BlueDot [39] suggested that the maximum and cumulative distance travelled from home fell by approximately 90%, the portion of mobile phone check-ins at home rose by over 10%, and the portion of devices for which every check-in was at home rose by 60%.
T202 2678-2793 Sentence denotes These estimates are also consistent with Google mobility [21], Citymapper index [40], and Apple mobility data [41].
T203 2794-2931 Sentence denotes These are indirect reflections of the contact rate but are supportive of a dramatic change in contact patterns as reflected in our model.
T204 2932-3002 Sentence denotes Furthermore, similar data are widely available for many jurisdictions.
T205 3003-3092 Sentence denotes Our results provide a direct estimate of contact rates in conjunction with mobility data.
T206 3093-3300 Sentence denotes Our results suggest that some relaxation of distancing measures may have been possible in BC and New York, considerably so in New Zealand, but that relaxation would have been risky in Washington and Florida.
T207 3301-3451 Sentence denotes In BC, we simulated fixed and dynamic measures—less stringent than the measures in place at present—which would continue to maintain low case numbers.
T208 3452-3559 Sentence denotes This is feasible either through continual strong distancing, or via well-monitored dynamic on/off measures.
T209 3560-3806 Sentence denotes We have illustrated the model’s high case volumes and long time frames that would result from cessation of distancing and the absence of continued strong public health and behavioural intervention in BC; the dynamics would look similar elsewhere.
T210 3807-4021 Sentence denotes In all jurisdictions, we found that immunity has not built up in the model; our estimates of the decline are not due to a natural peak in an epidemic curve, but are the direct effect of changes in contact patterns.
T211 4022-4140 Sentence denotes Seasonal transmission could even amplify a peak in the winter season, if control and monitoring were ceased then [12].
T212 4141-4288 Sentence denotes The delays between exposure and reporting present obvious challenges for monitoring the success of control measures using reported case-count data.
T213 4289-4596 Sentence denotes We suggest that two different kinds of monitoring will be important if distancing measures are to be relaxed: (1) monitoring cases through testing, contact tracing, and other case finding, and (2) monitoring contact patterns and distancing behaviour in the population, in a “distancing surveillance” effort.
T214 4597-4913 Sentence denotes This latter form of monitoring, derived from mobile phones, surveys and apps, could be available rapidly, whereas the incubation period places an unavoidable delay between control measures and detecting their impact in reported cases—even if testing of symptomatic cases were widespread and reporting were immediate.
T215 4914-5080 Sentence denotes There is considerable interest in real-time monitoring of mobile phone movements, population surveys on the uptake of physical distancing, and other behavioural data.
T216 5081-5175 Sentence denotes While these are potentially promising avenues, the outcome of interest is incident infections.
T217 5176-5282 Sentence denotes Locations of mobile phones, traffic patterns, and survey information are proxies for this outcome at best.
T218 5283-5457 Sentence denotes The work we have presented here could help to calibrate distancing surveillance measurements, to understand how they relate to changes in contact rates for modelling efforts.
T219 5458-5520 Sentence denotes Our modelling framework has a number of important limitations.
T220 5521-5663 Sentence denotes We do not model age and contact structure explicitly, except to distinguish between two populations: those participating in distancing or not.
T221 5664-5844 Sentence denotes This has the advantage that we do not require data on age-specific contact patterns, responses to distancing measures, or infectiousness; these data are not available at this time.
T222 5845-5957 Sentence denotes It also limits our ability to provide guidance on where and how contact reduction measures could be implemented.
T223 5958-6209 Sentence denotes It is a simplification of behaviour in many ways; true distancing responses are a continuum, and the measures in place (e.g., no mass gatherings or dine-in services) also mean that the whole population is experiencing some changes in contact patterns.
T224 6210-6379 Sentence denotes Our model is deterministic, and so does not capture the possibility of extinction; in addition, we have not simulated introductions of COVID-19 from other jurisdictions.
T225 6380-6557 Sentence denotes We have not accounted for geographic structure; differences in distancing behaviour, health care practices, and demographics in different jurisdictions could impact the results.
T226 6558-6771 Sentence denotes We have also not modelled either conventional or automated contact tracing [42, 43]; in our model these would decrease the duration of the infectious period and change the transitions for some exposed individuals.
T227 6772-6811 Sentence denotes There are also limitations in our data.
T228 6812-6966 Sentence denotes We have used an observation model to link reported cases to the modelled prevalence, and we included variation in the portion of cases detected over time.
T229 6967-7181 Sentence denotes Modelling and forecasting based on reported cases faces challenges when testing is driven by clinical needs, testing capacities, and other constraints (and in particular is not designed to test population samples).
T230 7182-7306 Sentence denotes Cases in long-term care facilities (LTCF) represent a substantial fraction of the cases, and particularly the deaths, in BC.
T231 7307-7411 Sentence denotes Along with the low number of deaths in total, this is one rationale for not modelling deaths explicitly.
T232 7412-7517 Sentence denotes We included LTCF cases but also modelled a wide range of under-reporting to account for potential biases.
T233 7518-7670 Sentence denotes If many cases in an LTCF cluster were all reported on the same day (or within a short time frame) this could increase the noise in reported case counts.
T234 7671-7996 Sentence denotes We have modelled case counts as over-dispersed compared to a Poisson distribution to account for such variation; we have developed the R package to model a range of data types individually or in combination (e.g., reported cases, hospitalizations, ICU admissions), which could help to overcome limitations of particular data.
T235 7997-8077 Sentence denotes The testing criteria include a number of categories that have changed over time.
T236 8078-8182 Sentence denotes Testing volume increased sharply in mid March in BC and most jurisdictions have changed testing volumes.
T237 8183-8233 Sentence denotes The base population being tested has also changed.
T238 8234-8442 Sentence denotes In BC, testing first focused primarily on those hospitalized or likely to be hospitalized, health care workers, residents of long-term care facilities, and other cluster investigations (mid-March to April 9).
T239 8443-8626 Sentence denotes Testing was then expanded to include residents of remote, isolated, or Indigenous communities, people who are homeless or have unstable housing, and by physicians’ clinical judgement.
T240 8627-8794 Sentence denotes There is likely some inconsistency in the application of these guidelines across hospitals and facilities, and base populations differ in across jurisdictions as well.
T241 8795-8925 Sentence denotes As a consequence, the base population being tested changes with time and contributes a changing portion of the force of infection.
T242 8926-9031 Sentence denotes Underestimation is therefore complex and is comprised of varying under-ascertainment and under-reporting.
T243 9032-9199 Sentence denotes There remain important unknowns about COVID-19 that give rise to additional limitations for modelling efforts; immunity and asymptomatic transmission are two of these.
T244 9200-9425 Sentence denotes We have included pre-symptomatic transmission but we have not explicitly modelled asymptomatic individuals, who may have few or no symptoms but nonetheless be transmitting, and who may or may not be building lasting immunity.
T245 9426-9553 Sentence denotes Recent work suggests that both pre- and asymptomatic individuals may be contributing considerably to transmission [27, 28, 44].
T246 9554-9701 Sentence denotes We have indirectly approached this uncertainty, exploring variable underestimation fractions and duration of the incubation and infectious periods.
T247 9702-9790 Sentence denotes A wide range for underestimation and duration is consistent with the reported case data.
T248 9791-10020 Sentence denotes Our conclusion about the impact of distancing measures appears to be robust to these uncertainties, although the basic reproductive number and the model prevalence vary according to assumptions about underestimation and duration.
T249 10021-10249 Sentence denotes Model predictions for the peak timing and size of prevalence without strong public health interventions will depend strongly on the dynamics of immunity, including the numbers of asymptomatic individuals and their immunity [12].
T250 10250-10451 Sentence denotes Our model suggests that distancing measures were working well in British Columbia as of April, 2020, that some relaxation of these measures may have been possible, but that this must be done carefully.
T251 10452-10614 Sentence denotes More broadly, we estimated a range of effectiveness of physical distancing in other locations (from very strong in New Zealand to weak in California as of May 7).
T252 10615-10727 Sentence denotes Given the likely low levels of immunity, long-term public health measures will be necessary to control COVID-19.
T253 10728-11071 Sentence denotes If data were available describing contact patterns and transmissibility by age, along with data describing the impact of specific activities on these contact patterns, then models could be effective tools to determine how to safely relax distancing measures—for example, restarting specific activities such as particular workplaces or schools.
T254 11072-11335 Sentence denotes Without knowledge of prevalence and transmissibility in children, of the extent of asymptomatic infection, and of the contact patterns that would result from restarting specific activities, models aiming to simulate these activities will have large uncertainties.
T255 11336-11532 Sentence denotes We therefore suggest that there is an urgent need for longitudinal measurements of population-level prevalence and immunity via viral testing and serological studies, even where prevalence is low.
T256 11533-11798 Sentence denotes Furthermore, if distancing measures are to be relaxed, it will be crucial to have strong surveillance through widespread testing, contact tracing, and isolation of new cases, as well as strong compliance with potentially shifting public health policy and messaging.