Evidence map›Paper›PMID 38024283›Full record

ArticleOne health (Amsterdam, Netherlands)2023

Spatiotemporal epidemiology and risk factors of scrub typhus in Hainan Province, China, 2011-2020.

Lisha Liu, Yang Xiao, Xianyu Wei, Xuan Li, Chunyuan Duan, Xinjing Jia, Ruizhong Jia, Jinpeng Guo, Yong Chen, Xiushan Zhang and 2 more

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 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
–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

16 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

12 authors.

Lisha LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Yang XiaoChongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.
Xianyu WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Xuan LiDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Chunyuan DuanChinese PLA Center for Disease Control and Prevention, Beijing, China.
Xinjing JiaChinese PLA Center for Disease Control and Prevention, Beijing, China.
Ruizhong JiaChinese PLA Center for Disease Control and Prevention, Beijing, China.
Jinpeng GuoChinese PLA Center for Disease Control and Prevention, Beijing, China.
Yong ChenChinese PLA Center for Disease Control and Prevention, Beijing, China.
Xiushan ZhangChinese PLA Center for Disease Control and Prevention, Beijing, China.
Wenyi ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Yong WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The re-emergence of scrub typhus in the southern provinces of China in recent decades has been validated, thereby attracting the attention of public health authorities. There has been a spatial and temporal expansion of scrub typhus in Hainan Province, but the epidemiological characteristics, environmental drivers, and potential high-risk areas for scrub typhus have not yet been investigated. Objective: The aims of this study were to characterize the spatiotemporal epidemiology of scrub typhus, identify dominant environmental risk factors, and map potential risk areas in Hainan Province from 2011 to 2020. Methods: The spatiotemporal dynamics of scrub typhus in Hainan Province between 2011 and 2020 were analyzed using spatial analyses and seasonal-trend decomposition using regression (STR). The maximum entropy (MaxEnt) model was applied to determine the key environmental predictors and environmentally suitable areas for scrub typhus, and the demographic diversity of the predicted suitable zones was evaluated. Results: During 2011-2020, 3260 scrub typhus cases were recorded in Hainan Province. The number of scrub typhus cases increased continuously each year, particularly among farmers (67.61%) and individuals aged 50-59 years (23.25%) who were identified as high-risk groups. A dual epidemic peak was detected, emerging annually from April to June and from July to October. The MaxEnt-based risk map illustrated that highly suitable areas, accounting for 25.36% of the total area, were mainly distributed in the northeastern part of Hainan Province, where 75.43% of the total population lived. Jackknife tests revealed that ground surface temperature, elevation, cumulative precipitation, evaporation, land cover, population density, and ratio of dependents were the most significant environmental factors. Conclusion: In this study, we gained insights into the spatiotemporal epidemiological dynamics, pivotal environmental drivers, and potential risk map of scrub typhus in Hainan Province. These results have important implications for researchers and public health officials in guiding future prevention and control strategies for scrub typhus.

Indexed as

Environmental factorsMaximum entropy modelingScrub typhusSpatiotemporal epidemiology

Identifiers

PMID38024283
PMCPMC10665174

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.