A Bibliometric Analysis of Leprosy during 2000–2021 from Web of Science Database

Li, Xiang; Yang, Jing; Zhang, Lianhua; Jin, Guangjie; Li, Xu; Fang, F.; Li, Yunhui; Wei, Pingmin

doi:10.3390/ijerph19148234

Cited by 5 publications

(7 citation statements)

References 45 publications

(48 reference statements)

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“…Among leprosy studies published in English in the past two decades, Chinese studies mostly focused on the relationship between leprosy and genes, compared to the top five most productive countries (Brazil, India, the United States, the United Kingdom, and the Netherlands) that have focused on early diagnosis and post exposure prophylaxis (40). Data on leprosy serology in healthy Chinese children is not available in English literature (39).…”

Section: Introductionmentioning

confidence: 99%

Detection of anti-M. leprae antibodies in healthy children in China: A systematic review of Chinese literature

Zhou¹,

Pierneef²,

Hooij³

et al. 2022

Front. Trop. Dis

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Leprosy is an infectious disease caused by Mycobacterium leprae (M. leprae) that mainly involves the skin and peripheral nerves, causing lifelong deformities and social stigma. As evident from the practically stable number of new cases reported worldwide during the past decade, transmission is still ongoing. On route to leprosy elimination, an appropriate tool is needed to monitor M. leprae transmission. M. leprae-specific antibodies indicate infection with M. leprae, but do not differentiate between present and past infection. Nevertheless, detection of M. leprae infection in young children per definition indicates recent infection. Hence, seroprevalence in young children can be used to monitor recent M. leprae transmission. Despite having eliminated leprosy in most parts of the country, studies on transmission conducted in China are not sufficiently reported in the English literature. Therefore, we performed a systematic review of Chinese literature describing serological studies in healthy children in (former) leprosy endemic areas in China, available in the Chinese databases: China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), and Wanfang Database. From the 710 articles identified in these three Chinese databases, only four full-text articles fulfilled all inclusion criteria regarding sufficiently detailed descriptions of anti-M. leprae antibodies in healthy children. Two additional papers were identified through snowballing, resulting in a total of six articles considered for this review reporting quantitative serological data from three Chinese provinces between 1987 and 2003. All studies used ELISAs to quantify antibody levels. Seroprevalence in healthy children ranged from 7.93% (Yunnan) to 32.35% (Jiangsu). If the same method was used (in Jiangsu), direct comparison of studies at different time points indicated that decrease in disease prevalence (0.28 to 0.16 per 100,000) or new case detection rate (2.6 to 1.0 per 100,000) from 1987-1991 corresponded to decrease in anti-M. leprae antibody seroprevalence (30.86% to 22.61%) in healthy children. Thus, these findings are consistent with the previous finding that anti-M. leprae antibody seroprevalence in young children represents a surrogate indicator to monitor transmission.

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Section: Introductionmentioning

confidence: 99%

Detection of anti-M. leprae antibodies in healthy children in China: A systematic review of Chinese literature

Zhou¹,

Pierneef²,

Hooij³

et al. 2022

Front. Trop. Dis

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“…Furthermore, funding for leprosy planning was drastically reduced after the announcement of the elimination of leprosy. Consequently, compared to other provinces in China, Jiangsu Province has recently borne a heavy burden of leprosy ( 31 ). Therefore, we compared the situation of leprosy in Jiangsu (New cases, G2D, MB, and adolescents) with other endemic regions of China (Sichuan, Yunan, and Guizhou).…”

Section: Discussionmentioning

confidence: 99%

“…However, there was an increasing trend in the detection rate of leprosy during 2005–2009 in Jiangsu Province. The trend was mainly due to the relaxation of leprosy control and the appearance of drug resistance (dapsone, rifampin, and ofloxacin), which has led to an increase in new cases ( 31 , 52 ). As a result, the government took adequate measures to control the disease, and the epidemic was brought under control.…”

Section: Discussionmentioning

confidence: 99%

“…The newly detected cases were cases diagnosed with leprosy including that moved from other provinces to Jiangsu after diagnosis in that year. A two-group classification system developed by the WHO was used to classify patients as multibacillary (MB) or paucibacillary (PB) ( 31 ). Disability was classified into three levels (0, 1, 2) according to WHO (Grade 0 disability: No loss of sensation, no visible deformities, and no eye problems associated with leprosy.…”

Section: Methodsmentioning

confidence: 99%

“…Secondly, new patients were reduced to 65,000 per year; Thirdly, the G2D rate decreased to 0.12 per million. At last, the prevalence of adolescents dropped to 0.77 per million ( 31 ). The plan indicated that there was still a long way to go before eradication.…”

Section: Introductionmentioning

confidence: 99%

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Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system

Jin²,

Yang³

et al. 2023

Front. Public Health

Self Cite

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BackgroundJiangsu Province is located in the Yangtze River Delta region, with a total area of 107,200 square kilometers. Since 1949, over 55,000 cases have been registered, with Taixing accounting for the highest number of patients. The proportion of new cases with MB and G2D was higher compared to other regions. As a result, Jiangsu has been considered a priority area for public health interventions in China.MethodsThis paper mainly described the population, time, and spatial distribution of the newly detected leprosy cases in Jiangsu Province between 2005 and 2020. In this study, all the data were entered into Microsoft Excel and SPSS for the descriptive analysis. ArcGIS was applied to create statistical maps, and Geoda was used to conduct spatial autocorrelation analysis with local Moran's I statistics (LISA). The epidemiological data were obtained from LEPMIS. In addition, population data were obtained from the Statistical Yearbook of Jiangsu Province.ResultsDuring the study period, 363 new cases were reported. Of these, 232 were men and 131 were women (1.77:1). The mean age at diagnosis was 60.56 years, and no adolescent cases were identified. Three hundred and twenty-seven (90.08%) were diagnosed with MB and 36 (9.92%) with PB. 31.68% (115/363) of the patients presented with G2D. Farmers accounted for 74.9%, and most cases were identified in skin clinics (248, 68.32%). We observed a decreasing trend in detection rate, with a higher concentration of new cases diagnosed between July and October. Spatial analysis showed that the new cases were primarily distributed in the northwest of Jiangsu province, and Suqian has the highest incidence of leprosy. Special attention should be paid to Wuzhong, a county with a potential risk of inter-provincial transmission. Furthermore, 55 new cases came from other Chinese provinces but lived in Jiangsu.ConclusionThe NCDR of leprosy decreased, but the new cases showed disabilities, a sign of the late diagnosis. The results indicated that some regions were still suffering from the burden of leprosy. Thus, we recommend that the government should adopt effective strategies to promote leprosy control. The main priorities for eliminating new cases were to provide sustainable financial support, improve the quality of clinical services, strengthen preventive intervention and rehabilitation services for disabilities, provide health education among high-risk populations, and explore new approaches.

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Analyzing and Visualizing Knowledge Structures of Research and Development Trends in Internet of Things for Smart Agriculture: A Decade Overview

Maulana,

Prasetyo Adi,

Arifin

et al. 2024

E3S Web Conf.

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Internet of Things (IoT) has become an increasingly important technology in Agriculture, has revolutionized the agricultural industry by providing farmers with real-time data on crop yields, soil moisture, and weather patterns. This research aims to provide a comprehensive overview of the latest developments in Scopus-based research on Internet of Things for Smart Agriculture over the last decade (2013-2022). A rigorous search method was used to identify IoT-related research publications in the Scopus database from 2013 to 2022. The study also identified research collaborations between various institutions, and countries and noted leading research contributions in this field. The top authors in this field are Kamienski, C., Suciu, G., and Debauche, O., while the top institutions are Vellore Institute of Technology, Universidade Federal do ABC, and Chandigarh University. The India, China, and United States were the most productive countries, with 356, 110, and 59 articles. The results of network visualization using VOSviewer found that there were 4 clusters based on their respective colours. The results of this study have the potential to provide valuable insights for scholars, practitioners, politicians, and funding organizations seeking to gain a comprehensive grasp of the current trends and objectives within this particular subject. The authors and institutions selected as the top performers in this study can provide excellent opportunities for cooperation and facilitate the acquisition of up-to-date knowledge in Smart Agriculture.

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A Bibliometric Analysis of Leprosy during 2000–2021 from Web of Science Database

Cited by 5 publications

References 45 publications

Detection of anti-M. leprae antibodies in healthy children in China: A systematic review of Chinese literature

Detection of anti-M. leprae antibodies in healthy children in China: A systematic review of Chinese literature

Epidemiological characteristics of leprosy during the period 2005–2020: A retrospective study based on the Chinese surveillance system

Analyzing and Visualizing Knowledge Structures of Research and Development Trends in Internet of Things for Smart Agriculture: A Decade Overview

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