Evidence map›Paper›PMID 42237255›Full record

ArticleBMC infectious diseases2026

Seasonal fluctuations in fly density and pathogen carriage in urban villages of Pudong New Area, Shanghai.

Jingyi Liu, Yongting Yuan, Chen Lin, Ruohua Gu, Huihui Li, Yingpei Gu, Jun Liu, Qi Lu, Ge Ge, Lipeng Hao and 1 more

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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.

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.

Jingyi Liu *Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Yongting Yuan *Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Chen Lin *Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Ruohua GuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Huihui LiShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Yingpei GuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Jun LiuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Qi LuShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Ge GeShanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China.
Lipeng Hao *Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China. lphao@pdcdc.sh.cn.
Hanzhao Liu *Shanghai Pudong New Area Center for Disease Control and Prevention (Shanghai Pudong New Area Health Supervision Institute), Shanghai, 200136, China. liuhanzhao641983@163.com.

Funding

Health System Subject Leader Training Program of Pudong New Area in Shanghai PWRd2023-12
6 · The paper itself

Abstract

backgroundFlies are significant mechanical vectors of zoonotic pathogens, posing substantial risks for diarrheal disease transmission in urban environments with substandard sanitation. Many urban villages in Pudong New Area are characterized by conditions that facilitate fly proliferation and pathogen dissemination.

methodsOur study was conducted from June to October 2024 in Taiping Village, a representative urban village in Pudong. Fly density and species composition were monitored across six environments (residential indoor/outdoor, green belts, wet market exteriors, restaurant exteriors, public toilet exteriors) using standardized cage traps and sticky ribbons following protocols. Captured flies were taxonomically identified, and 149 pooled samples were screened via RT-PCR and microfluidic chip technology for 31 enteric pathogens (viruses, bacteria, parasites). Statistical analyses employed Excel 2019 and R 4.4.3.

resultsSarcophagidae dominated the fly community (60.75%), followed by A. illocata (17.29%) and L. sericata (13.55%). Peak fly density occurred in June-August (1.48 flies/trap). Public toilet exteriors exhibited the highest density (1.33 flies/trap). Pathogen carriage was detected in 61.75% of samples, with Cryptosporidium (51.68%) and diarrheagenic E. coli (DEC, 22.82%) most prevalent. Multi-pathogen co-infection occurred in 44.12% of DEC-positive samples. Residential indoor environments showed the highest pathogen detection rate (71.43%), significantly exceeding public toilet exteriors (38.89%).

conclusionThis study identifies Sarcophagidae as the primary fly vector in Pudong's urban villages, carrying diverse enteric pathogens-notably Cryptosporidium and DEC-with peak transmission risk during summer. The high overall pathogen carriage rate, particularly in crowded residential interiors, underscores the critical need for enhanced sanitation infrastructure, targeted vector control and community hygiene education to mitigate outbreak risks of enteric infections in these high-density settlements. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

DipteraInsect VectorsSeasonsAnimalsBacteriaChinaDiarrheaHumansPopulation DensityUrban PopulationDiarrheaEnteric pathogensFly populationUrban village

Identifiers

PMID42237255
PMCPMC13455241

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LicenceCC BY-NC-ND
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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.