Evidence map›Paper›PMID 33411800›Full record

ArticlePLoS neglected tropical diseases2021

Temporal-spatial distribution characteristics of leprosy: A new challenge for leprosy prevention and control in Zhejiang, China.

Limei Wu, Yunliang Shen, Qiang Yao, Xudong Sang, Lijuan Fei, Wenming Kong, Ye Huang, Yanmin Wang, Fanrong Zeng, Na Du

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Molecular epidemiological characteristics ofFrontiers in public health · 2024
    Article
  7. A Bibliometric Analysis of Leprosy during 2000-2021 from Web of Science Database.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Molecular Surveillance of Antimicrobial Resistance ofInfection and drug resistance · 2022
    Article
  10. 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

10 authors at 1 institution in 1 country.

Limei WuZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.ORCID 0000-0001-8482-9331
Yunliang ShenZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Qiang YaoZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Xudong SangZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Lijuan FeiZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Wenming KongZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Ye HuangZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Yanmin WangZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Fanrong ZengZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Na DuZhejiang Provincial Institute for Dermatoses Prevention and Cure, Deqing county, Huzhou City, Zhejiang Province, China.
Zhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter the elimination of leprosy in 1995, there were 10-30 newly detected leprosy cases every year in Zhejiang Province, and the epidemiological characteristics of the newly detected leprosy cases have changed. While most of the newly detected cases came from other provinces in China, not Zhejiang, it brought a new challenge for leprosy prevention and control in post- elimination era in Zhejiang, China. This study was aimed to understand the temporal-spatial distribution characteristics of newly detected leprosy cases, and provide the scientific rationales for the development of leprosy control strategy.

methodsData on the demographic of Zhejiang Province from 2011 to 2019 were obtained from the China Information System for Disease Control and Prevention, and the epidemiological data on leprosy cases newly detected in Zhejiang Province from 2011 to 2019 were obtained from the LEPROSY MANAGEMANT INFORMATION SYSTEM IN CHINA (LEPMIS), and temporal-spatial distributions were described. The geographic information system software-ArcGIS 10.4 was used to draw the statistical maps, and Geoda 1.14.0 was used for local spatial autocorrelation analysis (local Getis coefficient method). Ridley-Jopling classification was used to classify the clinical types into I, TT, BT, BB, BL or LL. Two-group classification system developed by the World Health Organization (WHO) was used and cases were classified into multibacillary (MB) type or paucibacillary (PB) type.

resultsA total of 167 leprosy cases were reported in Zhejiang Province during 2011-2019, including 107 cases in males and 60 in females. The mean age at diagnosis was 37.99±14.81 years, and 94.01% of the cases were detected through the examination at skin-clinics. The number of workers, MB cases, G2D cases were 81 (48.50%), 159 (94.01%), 24 (14.37%) respectively, and the rate of early detection increased from 45.16% in 2011 to 90.91% in 2019. Leprosy cases were reported in all the prefectures of Zhejiang except Zhoushan City. The cases in local population accounted for 23.35% (39 cases), and the cases in floating population (especially coming from high epidemic provinces in China) accounted for 76.65% (128 cases). The annual number of newly detected cases showed a decreasing trend, from 31 cases in 2011 to 11 in 2019. Time of the floating population living in Zhejiang Province ranged from several months to more than 10 years. The annual proportion of new cases with G2D declined from 22.58% in 2011 to 9.09% in 2019. The results of local indicators of autocorrelation (LISA) analysis showed that the high-high areas were mainly concentrated in the middle and northeast of Zhejiang Province, while the low-low areas were in the east and southwest.

conclusionA few scattered cases still can be seen in post-elimination era, and there was a spatial clustering of the newly detected leprosy cases in Zhejiang Province. Most of the cases in Zhejiang Province were from other high epidemic provinces in China, which brought a new challenge for leprosy control and prevention in post- elimination era in Zhejiang, and it is also necessary to strengthen the early detection and standard management of the leprosy cases in floating population in Zhejiang.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChinaCitiesEarly DiagnosisEpidemicsFemaleGeographic Information SystemsHumansLeprosyMaleMiddle AgedSpatial Analysis

Identifiers

PMID33411800
PMCPMC7790296
OpenAlexW3118917068

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.