Time-series model to predict impact of H1N1 influenza on a children's hospital. (Q30406513)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:21878146%20AND%20SRC:MED&resulttype=core&format=json

11 February 2020

title

Time-series model to predict impact of H1N1 influenza on a children's hospital (English)

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11 February 2020

1

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11 February 2020

author name string

J R Stroud

series ordinal

2

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11 February 2020

X Song

series ordinal

3

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11 February 2020

publication date

31 August 2011

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Epidemiology and Infection

11 February 2020

published in

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11 February 2020

volume

140

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issue

5

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11 February 2020

page(s)

798-802

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Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters

11 February 2020

cites work

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Time-series analysis of the relation between influenza virus and hospital admissions of the elderly in Ontario, Canada, for pneumonia, chronic lung disease, and congestive heart failure

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Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore

21 January 2018

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Time series model to predict burden of viral respiratory illness on a pediatric intensive care unit

21 January 2018

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Time series modeling for syndromic surveillance

21 January 2018

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Quantifying the transmission potential of pandemic influenza

21 January 2018

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Multistate Surveillance for Laboratory-Confirmed, Influenza-Associated Hospitalizations in Children

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Time series analysis of dengue incidence in Rio de Janeiro, Brazil.

21 January 2018

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inferred from DOI database lookup

7 January 2021

based on heuristic

Transmission potential of the new influenza A(H1N1) virus and its age-specificity in Japan

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inferred from DOI database lookup

7 January 2021

based on heuristic

Multivariate time series analysis in nosocomial infection surveillance: a case study

1 reference

https://api.crossref.org/works/10.1017%2FS0950268811001749

inferred from DOI database lookup

7 January 2021

based on heuristic

Identifiers

DOI

10.1017/S0950268811001749

1 reference

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11 February 2020

1 reference