Evidence map›Paper›PMID 37993836›Full record

ArticleBMC public health2023

Application of exponential smoothing method and SARIMA model in predicting the number of admissions in a third-class hospital in Zhejiang Province.

Wanjun Yang, Aonan Su, Liping Ding

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Wanjun YangMedical Records Statistics Office, Zhejiang Provincial People's Hospital/People's Hospital of Hangzhou Medical College, 158 Shangtang Road, Gongshu District, Hangzhou City, 310000, Zhejiang Province, China.
Aonan SuMedical Records Statistics Office, Zhejiang Provincial People's Hospital/People's Hospital of Hangzhou Medical College, 158 Shangtang Road, Gongshu District, Hangzhou City, 310000, Zhejiang Province, China.
Liping DingMedical Records Statistics Office, Zhejiang Provincial People's Hospital/People's Hospital of Hangzhou Medical College, 158 Shangtang Road, Gongshu District, Hangzhou City, 310000, Zhejiang Province, China. elsieding@163.com.
Zhejiang Provincial People's Hospital · CNHangzhou Medical College · CN

Funding

Project of 2023 Health Care Quality (Evidence-Based) Management Research YLZLXZ23G003
6 · The paper itself

Abstract

objectiveTo establish the exponential smoothing prediction model and SARIMA model to predict the number of inpatients in a third-class hospital in Zhejiang Province, and evaluate the prediction effect of the two models, and select the best number prediction model.

methodsThe data of hospital admissions from January 2019 to September 2022 were selected to establish the exponential smoothing prediction model and the SARIMA model respectively. Then compare the fitting parameters of different models: R

resultsThe best fitting exponential smoothing prediction model was Winters Addition model, whose R

conclusionBoth models can better fit the number of admissions, and SARIMA model has better prediction effect.

Indexed as

HospitalizationModels, StatisticalChinaForecastingHospitalsHumansIncidenceSeasonsExponential smoothing methodModel predictionNumber of hospital admissionsSARIMA model

Identifiers

PMID37993836
PMCPMC10664683
OpenAlexW4388911645

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.