Evidence map›Paper›PMID 38026345›Full record

ArticleFrontiers in public health2023

Comprehensive evaluation of the effectiveness of endemic disease prevention and control in Jiangsu Province, China, 2013-2022.

Mao Liu, Yang Wang, Yunjie Ye, Yuting Xia, Li Shang, Zhen Ding, Peihua Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Mao LiuEnvironment and Health Institute (Endemic Disease Control Department), Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yang WangEnvironment and Health Institute (Endemic Disease Control Department), Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yunjie YeEnvironment and Health Institute (Endemic Disease Control Department), Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Yuting XiaEnvironment and Health Institute (Endemic Disease Control Department), Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Li ShangEnvironment and Health Institute (Endemic Disease Control Department), Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Zhen DingEnvironment and Health Institute (Endemic Disease Control Department), Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Peihua WangEnvironment and Health Institute (Endemic Disease Control Department), Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Jiangsu Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a strong economic and populous province in China, Jiangsu is home to four endemic diseases. Despite efforts in the past decade, the prevention and control of these four endemic diseases are not uniform because of the different etiological chains and influencing factors of these diseases. Among the evaluation methodologies for endemic disease control, only one method is currently available for each disease. In this study, we selected 14 indicators to comprehensively evaluate the effectiveness of endemic disease control in Jiangsu between 2013 and 2022. We improved the method for calculating the weights of the indicators and established a fuzzy comprehensive evaluation model based on the weighted Technique for Order Preference by Similarity to an Ideal Solution model and a weighted grey relational analysis model. The results of the comprehensive evaluation showed that the progress of endemic disease control in Jiangsu was not always in line with our expectations of improvement, with the top five years of better control occurring in 2015, 2013, 2021, 2022, and 2014. The results of the sensitivity analysis confirm the reliability and accuracy of these findings. We discovered that measures such as the reform of the salt industry, use of thyroid ultrasound, and new water supply projects for residents in Jiangsu affected the progress of endemic disease prevention and control. The tracking of endemic disease status should consider the potential effects of changes in policies implemented in other industries on endemic disease prevention and control. Additionally, the results of this study provide a theoretical basis for enhancing prevention and control practices in other regions of China.

Indexed as

Endemic DiseasesIndustryChinaPolicyReproducibility of Resultscombined weightscomprehensive evaluationendemic diseaseprevention and controlweighted GRAweighted TOPSIS

Identifiers

PMID38026345
PMCPMC10655136
OpenAlexW4388293213

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.