Evidence map›Paper›PMID 40070443›Full record

ArticleInfectious Disease Modelling2025

Prediction of monthly occurrence number of scrub typhus in Ganzhou City, China, based on SARIMA and BPNN models.

Renfa Huang, Kailun Pan, Qingfeng Cai, Fen Lin, Hua Xue, Mingpeng Li, Yong Liao

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Renfa HuangGanzhou Center for Disease Control and Prevention, Ganzhou, 341000, Jiangxi, China.
Kailun PanSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Qingfeng CaiGanzhou Center for Disease Control and Prevention, Ganzhou, 341000, Jiangxi, China.
Fen LinSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Hua XueGanzhou Center for Disease Control and Prevention, Ganzhou, 341000, Jiangxi, China.
Mingpeng LiGanzhou Center for Disease Control and Prevention, Ganzhou, 341000, Jiangxi, China.
Yong LiaoGanzhou Center for Disease Control and Prevention, Ganzhou, 341000, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scrub typhus poses a serious public health risk globally. Forecasting the occurrence of the disease is essential for policymakers to develop prevention and control strategies. This study investigated the application of modelling techniques to predict the occurrence of scrub typhus and establishes an early warning system aimed at providing a foundational reference for its effective prevention and control. In this study, the monthly occurrence of scrub typhus in Ganzhou City from January 2008 to December 2022 was utilized as the training set for the first part of the analysis, while the data from January 2008 to December 2019 served as the training set for the second part. Based

Indexed as

BPNNPredictive modellingSARIMAScrub typhus

Identifiers

PMID40070443
PMCPMC11894303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.