Evidence map›Paper›PMID 37749484›Full record

ArticleBMC infectious diseases2023

Exploring causal mechanisms and essential factors in the prevention and control of chlamydia in Guangdong, Southern China: a study protocol.

Wenjun He, Peizhen Zhao, Tao Yang, Yuting Wan, Dadong Wu, Xiaoshan Chen, Zizhen Huang, Huanyuan Luo, Dong Roman Xu, Shujie Huang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Wenjun HeSchool of Public Health, Southern Medical University, Guangzhou, China.
Peizhen ZhaoDermatology Hospital, Southern Medical University, Guangzhou, China.
Tao YangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
Yuting WanSchool of Health Management, Southern Medical University, Guangzhou, China.
Dadong WuAffiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China.
Xiaoshan ChenAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Zizhen HuangAcacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China.
Huanyuan LuoSouthern Medical University Institute for Global Health, Guangzhou, China.
Dong Roman XuSchool of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China. romanxu@i.smu.edu.cn.
Shujie HuangDermatology Hospital, Southern Medical University, Guangzhou, China. huangshj_jm@126.com.
Cheng WangDermatology Hospital, Southern Medical University, Guangzhou, China. wangcheng090705@gmail.com.
Southern Medical University · CNGuiyang Medical University · CNShenzhen Maternity and Child Healthcare Hospital · CN

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundChlamydia Trachomatis (CT) is among the most prevalent sexually transmitted diseases (STDs) globally. According to the World Health Organization, more than 131 million people get infected with CT annually. CT is usually transmitted via sexual contact or perinatal exposure and can result in severe long-term complications. In developing nations, particularly, the prevention and control of CT is challenging. Hence, this study will explore the feedback mechanisms of chlamydia prevention and control, as well as identify the essential factors affecting the control and prevention of this infection in China.

methodsOur study will employ a mixed-methods research design that encompasses both qualitative and quantitative methods. Firstly, we will develop a causal loop diagram (CLD) based on the literature review and optimize it via in-depth interviews with stakeholders. Additionally, we will utilize a quantitative method called MICMAC(Impact Matrix Cross-Reference Multiplication Applied to a Classification tool) to obtain consensus among different stakeholders and pinpoint the key information. Next, the CLD will be transformed into a system dynamics model (SDM) to evaluate the feedback mechanisms within the CLD. The causality in the CLD will be modeled using mathematical equations, which facilitate the transformation into an SDM. As such, we will be able to analyze the dynamic behavior of the system and its response to different decisions. DISCUSSION: Our study offers a systematic perspective on the control and prevention of chlamydia infection through system dynamics modeling, examining the dynamic properties and background factors of the system. The creation of the CLD affords stakeholders the chance to comprehend the functionality of their relationships and improve cooperation. Consequently, by evaluating the outcomes of these simulations, it will be possible to analyze and determine potential interventions and their effects on chlamydia infections. This modeling approach can help us gain insight into the dynamic characteristics of the system, evaluate the potential outcomes of different decisions, and design control strategies to either stabilize the system or adjust its behavior.

Indexed as

Chlamydia InfectionsChlamydia trachomatisCausalityChinaConsensusFemaleHumansPregnancyCausal loop diagramChlamydia prevention and controlFeedback mechanismsIntervention developmentSystem dynamics modeling

Identifiers

PMID37749484
PMCPMC10519073
OpenAlexW4387018355

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LicenceCC BY
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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.