ArticleBMC infectious diseases2016
Epidemic characteristics, high-risk townships and space-time clusters of human brucellosis in Shanxi Province of China, 2005-2014.
Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed.
- Spatio-temporal analysis of human brucellosis in North Khorasan, Iran (2015-2023): A cross-sectional study.One health (Amsterdam, Netherlands) · 2026Article
- A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Review
- Epidemiological characteristics and spatio-temporal clusters of human brucellosis in Inner Mongolia, 2010-2021.BMC infectious diseases · 2024Article
- Spatiotemporal risk of human brucellosis under intensification of livestock keeping based on machine learning techniques in Shaanxi, China.Epidemiology and infection · 2024Article
- Article
- The spatiotemporal epidemiological study on human brucellosis in shenyang, China from 2013 to 2022.Heliyon · 2024Article
- Epidemiological changes and molecular characteristics ofFrontiers in microbiology · 2024Article
- Incidence and trends of 17 notifiable bacterial infectious diseases in China, 2004-2019.BMC infectious diseases · 2023Article
- Epidemic Characteristics, High-Risk Areas and Space-Time Clusters of Human Brucellosis - China, 2020-2021.China CDC weekly · 2023Article
- Epidemiology, clinical manifestations, and laboratory findings of 1,590 human brucellosis cases in Ningxia, China.Frontiers in microbiology · 2023Article
- Spatiotemporal distribution of human brucellosis in Inner Mongolia, China, in 2010-2015, and influencing factors.Scientific reports · 2021Article
- One-step melting curve analysis-based McSpoligotyping reveals genotypes of Mycobacterium tuberculosis in a coastal city, China.Archives of microbiology · 2021Article
- Epidemiological Characteristics of Human Brucellosis - China, 2016-2019.China CDC weekly · 2021Article
- Human Brucellosis: An Ongoing Global Health Challenge.China CDC weekly · 2021Article
- Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study.BMJ open · 2020Article
- Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, northern China.BMC public health · 2020Article
- Article
- Article
- Under-reporting of TB cases and associated factors: a case study in China.BMC public health · 2019Article
- Associated factors in distinguishing patients with brucellosis from suspected cases.BMC infectious diseases · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBrucellosis, one of the world's most important zoonosis, has been re-emerging in China. Shanxi Province, located in northern China, where husbandry development has been accelerated in recent years, has a rather high incidence of human brucellosis but drew little attention from the researchers. This study aimed to describe the changing epidemiology of human brucellosis in Shanxi Province from 2005 to 2014 and explore high-risk towns and space-time clusters for elucidating the necessity of decentralizing disease control resource to township level in epidemic regions, particularly in hotspot areas.
methodsWe extracted data from the Chinese National Notifiable Infectious Disease Reporting System to describe the incidence and spatiotemporal distribution of human brucellosis in Shanxi Province. Geographic information system was used to identify townships at high risk for the disease. Space-Time Scan Statistic was applied to detect the space-time clusters of human brucellosis during the past decade.
resultsFrom 2005 to 2014, a total of 50,002 cases of human brucellosis were recorded in Shanxi, with a male-to-female ratio of 3.9:1. The reported incidence rate increased dramatically from 7.0/100,000 in 2005 to 23.5/100,000 in 2014, with an average annual increase of 14.5%. There were still 33.8% cases delaying diagnosis in 2014. The proportion of the affected towns increased from 31.5% in 2005 to 82.5% in 2014. High-risk towns spread from the north to the center and then south of Shanxi Province, which were basins and adjacent highlands suitable for livestock cultivation. During the past decade, there were 55 space-time clusters of human brucellosis detected in high risk towns; the clusters could happen in any season. Some clusters' location maintained stable over time.
conclusionsDuring the last decade, Shanxi province's human brucellosis epidemic had been aggravated and high-risk areas concentrated in some towns located in basins and adjacent highlands. Space-time clusters existed and some located steadily over time. Quite a few cases still missed timely diagnosis. Greater resources should be allocated and decentralized to mitigate the momentum of rise and improve the accessibility of prompt diagnosis treatment in the high-risk townships.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.