Evidence map›Paper›PMID 41507827›Full record

ArticleBMC infectious diseases2026

Impact of nonpharmaceutical interventions on infectious disease patterns in Yunnan Province across the COVID-19 pandemic phases.

Lihua Chen, Huxing Gao, Jiarui Zhang, Chuanzhi Xu, Shuiping Lu, Yue Pan, Karuppiah Thilakavathy, Shiwen Zhao, Chenglong Xiong, Zhong Sun

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Lihua ChenSchool of Public Health, Kunming Medical University, Kunming, 650500, China.
Huxing GaoYunnan Provincial Center for Disease Control and Prevention, 158 Dongsi Street, Kunming, 650022, China.
Jiarui ZhangSchool of Public Health, Kunming Medical University, Kunming, 650500, China.
Chuanzhi XuSchool of Public Health, Haiyuan College, Kunming Medical University, Kunming, 650106, China.
Shuiping LuKey Lab of Public Health Safety, School of Public Health, Fudan University, Ministry of Education, Shanghai, 200433, China.
Yue PanKey Lab of Public Health Safety, School of Public Health, Fudan University, Ministry of Education, Shanghai, 200433, China.
Karuppiah ThilakavathyDepartment of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, 43400, Malaysia.
Shiwen Zhao *Yunnan Provincial Center for Disease Control and Prevention, 158 Dongsi Street, Kunming, 650022, China. ynzsw1368@sina.com.
Chenglong Xiong *Key Lab of Public Health Safety, School of Public Health, Fudan University, Ministry of Education, Shanghai, 200433, China. xiongchenglong@fudan.edu.cn.
Zhong Sun *School of Public Health, Kunming Medical University, Kunming, 650500, China. cifer03@gmail.com.

Funding

Shanghai Municipal Health Bureau GWVI-11.1-03
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic substantially altered global infectious disease patterns. Nonpharmaceutical interventions (NPIs)—including lockdowns, travel restrictions, and enhanced hygiene—were widely implemented to control SARS-CoV-2 but also influenced the transmission of other infectious diseases. This study assessed the impact of NPIs on 36 notifiable diseases in Yunnan Province, China, across three phases: the prepandemic period (2014–2019), the pandemic phase (2020–2022), and the postpandemic phase (2023), when most NPIs were lifted.

methodsWe analyzed surveillance data from the Yunnan Provincial CDC using Poisson regression, Spearman correlation, and bootstrap resampling. Incidence ratios and temporal trends were compared across phases, adjusting for population size. All analyses were performed using R.

resultsDuring the pandemic phase, NPIs significantly suppressed several diseases, including leptospirosis (− 97.4%, P < 0.001), rabies (− 90.2%, P < 0.001), and schistosomiasis (− 88.9%, P < 0.05), likely due to reduced mobility and improved hygiene. In contrast, brucellosis (+ 195%, P < 0.001) and pertussis (+ 559.3%, P < 0.001) increased, potentially due to service disruptions. After NPI relaxation in 2023, marked rebounds were observed in dengue fever (+ 5027.4%, P < 0.001) and influenza (+ 1304.3%, P < 0.001), likely reflecting waning population immunity. However, sustained reductions persisted in tuberculosis (− 12.5%, P < 0.001) and rubella (− 89.3%, P < 0.001).

conclusionsNPIs, especially travel restrictions and improved hygiene, effectively curtailed the transmission of multiple infectious diseases in Yunnan during the pandemic phase. The postpandemic resurgence of several diseases underscores the importance of sustained surveillance and context-tailored public health strategies to maintain disease control and strengthen system resilience.

Indexed as

Communicable Disease ControlCommunicable DiseasesCOVID-19ChinaHumansIncidencePandemicsQuarantineSARS-CoV-2COVID-19 pandemicDisease reboundInfectious disease trendsNonpharmaceutical interventions (NPIs)Postpandemic surveillanceVector-borne infectionsWaSHYunnan provinceZoonoses

Identifiers

PMID41507827
PMCPMC12825218

What OpenQuestion holds

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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.