About: The influence of cold weather on the usage of emergency link calls: a case study in Hong Kong

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: The influence of cold weather on the usage of emergency link calls: a case study in Hong Kong Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The influence of cold weather on the usage of emergency link calls: a case study in Hong Kong
Creator	Chen, Feng Sf, Paul
Source	Medline; PMC
abstract	BACKGROUND: In response to an unexpected long cold spell in February 1996 which killed more than 100 older adults (mostly living alone) in Hong Kong, the Hong Kong Senior Citizen Home Safety Association established a Personal Emergency Link Service to provide emergency contact to the older adults, which uses a telephone system to render emergency relief and total care service around the clock. To facilitate the dynamic and efficient allocation of service resources, it is crucial to understand the factors linked with use of the services and number of hospital admissions arising from PE link service. METHODS: We initially use the Poisson generalized linear model (GLM) with polynomial effect functions of relevant covariates. If the time series of residuals from fitting the Poisson GLM reveals significant serial correlation, a Poisson generalized linear autoregressive moving average (GLARMA) model is refitted to the data to account for the auto-correlation among the time series of daily call numbers. If the data is overdispersed relative to the best fitting Poisson GLARMA model, then the negative binomial GLARMA model is refitted to account for any overdispersion. In all the models, dummy variables for weekdays and months are included to account for any cyclic trends due weekday effect or month of the year effect. The secular time trend is modeled by a polynomial function of calendar time over the study period. Finally any critical temperatures are identified by visually inspecting the graph of the effect function of temperature. RESULTS: The weekday and month effects are both significant with Monday seeing more PE Link calls than Sunday and June seeing less than January. Temperature has significant effect on the PE Link call rate with the effect highly nonlinear. A critical temperature, below which excessive increase in PE link calls that lead to hospital admissions, is identified to be around 15 °C. CONCLUSION: Identifying a threshold temperature which generates an excessive increase in the expected number of PE Link calls would be useful in service provision planning and support for elderly in need of hospital admission.
has issue date	2015-08-13(xsd:dateTime)
bibo:doi	10.1186/s12911-015-0191-1
bibo:pmid	26590158
has license	cc-by
sha1sum (hex)	3065f9bd3f5cbaad08a1f0e35f5781ccd0857cd7
schema:url	https://doi.org/10.1186/s12911-015-0191-1
resource representing a document's title	The influence of cold weather on the usage of emergency link calls: a case study in Hong Kong
has PubMed Central identifier	PMC4654920
has PubMed identifier	26590158
schema:publication	BMC Med Inform Decis Mak
resource representing a document's body	covid:3065f9bd3f5cbaad08a1f0e35f5781ccd0857cd7#body_text
is schema:about of	named entity 'inspecting' named entity 'arising' named entity 'link' named entity 'Poisson' named entity 'elderly' named entity 'telephone' named entity 'expected number' named entity 'Link' named entity 'initially' named entity 'admission' named entity 'call' named entity 'model' named entity 'binomial' named entity 'PLANNING' named entity 'EMERGENCY CONTACT' named entity 'USE' named entity 'MORE THAN' named entity 'HIGHLY' named entity 'TIME' named entity 'ACCOUNT' named entity 'ELDERLY' named entity 'TEMPERATURES' named entity 'SERVICE' named entity 'INSPECTING' named entity 'TEMPERATURE' named entity 'LINK' named entity 'CALL NUMBERS' named entity 'CARE SERVICE' named entity 'IDENTIFIED' named entity 'MOVING AVERAGE' named entity 'ASSOCIATION' named entity 'GRAPH' named entity 'EXCESSIVE' named entity 'ARISING' named entity 'INCLUDED' named entity 'TIME SERIES' named entity 'RESIDUALS' named entity 'USES' named entity 'RELIEF' named entity 'BEST' named entity 'DYNAMIC' named entity 'HOSPITAL ADMISSION' named entity 'RENDER' named entity 'UNDERSTAND' named entity 'METHODS' named entity 'AROUND THE CLOCK' named entity 'THRESHOLD' named entity 'USE OF' named entity 'MODELED' named entity 'CYCLIC' named entity 'POLYNOMIAL' named entity 'COLD' named entity 'INITIALLY' named entity 'LONG' named entity 'IDENTIFIED BY' named entity 'NEED' named entity 'PERSONAL' named entity 'RELATIVE TO' named entity 'ESTABLISHED' named entity 'TELEPHONE' named entity 'RATE' named entity 'EFFECT' named entity 'TRENDS' named entity 'HOSPITAL ADMISSIONS' named entity 'SERVICES' named entity 'RESPONSE TO' named entity 'DAILY' named entity 'SERIAL' named entity 'TREND' named entity 'KILLED' named entity 'FUNCTIONS' named entity 'SUPPORT' named entity 'MONTHS' named entity 'REVEALS' named entity 'CORRELATION' named entity 'EXPECTED' named entity 'SEEING' named entity 'RESOURCES' named entity 'SAFETY' named entity 'DATA'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software