Evidence map›Paper›PMID 39391156›Full record

ArticleFrontiers in public health2024

Estimation of scrub typhus incidence and spatiotemporal multicomponent characteristics from 2016 to 2023 in Zhejiang Province, China.

Haocheng Wu, Ming Xue, Chen Wu, Qinbao Lu, Zheyuan Ding, Xinyi Wang, Tianyin Fu, Ke Yang, Junfen Lin

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

9 authors.

Haocheng Wu *Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Ming Xue *Hangzhou Centre for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Chen WuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Qinbao LuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Zheyuan DingZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Xinyi WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Tianyin FuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Ke YangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Junfen LinZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China is one of the main epidemic areas of scrub typhus, and Zhejiang Province, which is located in the coastal area of southeastern China, is considered a key region of scrub typhus. However, there may be significant bias in the number of reported cases of scrub typhus, to the extent that its epidemiological patterns are not clearly understood. The purpose of this study was to estimate the possible incidence of scrub typhus and to identify the main driving components affecting the occurrence of scrub typhus at the county level. Methods: Data on patients with scrub typhus diagnosed at medical institutions between January 2016 and December 2023 were collected from the China Disease Control and Prevention Information System (CDCPIS). The kriging interpolation method was used to estimate the possible incidence of scrub typhus. Additionally, a multivariate time series model was applied to identify the main driving components affecting the occurrence of scrub typhus in different regions. Results: From January 2016 to September 2023, 2,678 cases of scrub typhus were reported in Zhejiang Province, including 1 case of reported death, with an overall case fatality rate of 0.04%. The seasonal characteristics of scrub typhus in Zhejiang Province followed an annual single peak model, and the months of peak onset in different cities were different. The estimated area with case occurrence was relatively wider. There were 41 counties in Zhejiang Province with an annual reported case count of less than 1, while from the estimated annual incidence, the number of counties with less than 1 case decreased to 21. The average annual number of cases in most regions fluctuated between 0 and 15. The numbers of cases in the central urban area of Hangzhou city, Jiaxin city and Huzhou city did not exceed 5. The estimated random effect variance parameters Conclusion: The estimated incidence was higher than the current reported number of cases, and the possible impact area of the epidemic was also wider than the areas with reported cases. The main driving factors of the scrub typhus epidemic in Zhejiang included endemic components such as natural factors, but there was significant heterogeneity in the composition of driving factors in different regions. Some regions were driven by spatiotemporal spread across regions, and the time autoregressive effect in individual regions could not be ignored. These results that monitoring of cases, vectors, and pathogens of scrub typhus should be strengthened. Furthermore, each region should take targeted prevention and control measures based on the main driving factors of the local epidemic to improve the accuracy of prevention and control.

Indexed as

Scrub TyphusSpatio-Temporal AnalysisAdultChinaFemaleHumansIncidenceMaleMiddle AgedSeasonskriging interpolationmultivariate time series modelrandom effectscrub typhuswavelet analysis

Identifiers

PMID39391156
PMCPMC11464294

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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.