Evidence map›Paper›PMID 35007298›Full record

ArticlePLoS neglected tropical diseases2022

Spatiotemporal association of rapid urbanization and water-body distribution on hemorrhagic fever with renal syndrome: A case study in the city of Xi'an, China.

Li Shen, Minghao Sun, Xiao Wei, Yao Bai, Qingwu Hu, Shuxuan Song, Boxuan Gao, Weilu Zhang, Jifeng Liu, Zhongjun Shao and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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  18. Increased blood CD226Annals of medicine · 2023
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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

11 authors at 3 institutions in 1 country.

Li ShenSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China.
Minghao SunSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China.
Xiao WeiDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China.ORCID https://orcid.org/0000-0002-4483-1346
Yao BaiDepartment of Infectious Disease Control and Prevention, Xi'an Center for Disease Prevention and Control, Xi'an, People's Republic of China.
Qingwu HuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China.ORCID https://orcid.org/0000-0003-0866-6678
Shuxuan SongDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China.
Boxuan GaoSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China.
Weilu ZhangDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China.
Jifeng LiuDepartment of Infectious Disease Control and Prevention, Xi'an Center for Disease Prevention and Control, Xi'an, People's Republic of China.
Zhongjun ShaoDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China.
Kun LiuDepartment of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, People's Republic of China.ORCID https://orcid.org/0000-0003-1847-8208
Air Force Medical University · CNWuhan University · CNXian Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemorrhagic fever with renal syndrome (HFRS) is a zoonosis characterized by clinical features of high fever, hemorrhage, and renal damage. China has the largest number of HFRS cases worldwide, accounting for over 90% of the total reported cases. In this paper, we used surveyed HFRS data and satellite imagery to conduct geostatistical analysis for investigating the associations of rapid urbanization, water bodies, and other factors on the spatiotemporal dynamics of HFRS from year 2005 to 2018 in Xi'an City, Northwest China. The results revealed an evident epidemic aggregation in the incidence of HFRS within Xi'an City with a phenomenal fluctuation in periodic time series. Rapid urbanization was found to greatly affect the HFRS incidence in two different time phases. HFRS caused by urbanization influences farmers to a lesser extent than it does to non-farmers. The association of water bodies with the HFRS incidence rate was found to be higher within the radii of 696.15 m and 1575.39 m, which represented significant thresholds. The results also showed that geomatics approaches can be used for spatiotemporally investigating the HFRS dynamic characteristics and supporting effective allocations of resources to formulate strategies for preventing epidemics.

Indexed as

AnimalsChinaCitiesDisease VectorsGeographyHemorrhagic Fever with Renal SyndromeHumansIncidenceMurinaeOrthohantavirusPrimary PreventionRatsRetrospective StudiesSatellite ImagerySeasonsUrbanization

Identifiers

PMID35007298
PMCPMC8782472
OpenAlexW4205624497

What OpenQuestion holds

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LicenceCC BY
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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.