ABSTRACT
Objective To construct a schistosomiasis transmission risk assessment system in Wuhan City and preliminary evaluate its application effect, so as to promote the rational allocation of schistosomiasis control resources and accelerate the progress towards schistosomiasis elimination. Methods The schistosomiasis risk assessment indicators were collected through referring schistosomiasis surveillance data of Wuhan City from 2014 to 2020, literature review and expert interviews. Indicators within each criterion and sub-criterion were screened using the Delphi method, and a hierarchical structure model was created based on analytic hierarchy process. Quantitative assignment of each indicator was conducted according to relative importance, and the weight and combination weight of each criterion were calculated in each analytic hierarchy framework to create a schistosomiasis transmission risk assessment system, which was used for the schistosomiasis transmission risk assessment in 12 national schistosomiasis surveillance sites in Wuhan City. Results A three-level schistosomiasis transmission risk assessment system was preliminarily constructed, which included a target layer, 5 criterion layers and 21 sub-criterion layers. Of all indicators in the criterion layer, transmission route had the highest weight (0.433), followed by source of Schistosoma japonicum infection (0.294); and among all indicators in the sub-criterion layer, S. japonicum infection in Oncomelania hupensis and sentinel mice had the highest combination weight (0.125), followed by prevalence of S. japonicum infection in humans (0.091) and bovines (0.053), snail control by chemical treatment (0.049), positive rate of inquiry examinations (0.048), allocation of schistosomiasis control professionals (0.045), and areas of submerged snail-infested settings (0.041). Of the 12 national schistosomiasis surveillance sites in Wuhan City, there were 5 sites with weights of > 0.8, 4 sites with weights of 0.6 to 0.8, and 3 sites with weights of < 0.6 in 2020. Conclusion A schistosomiasis transmission risk assessment system has been constructed based on analytic hierarchy process in Wuhan City, which may provide a evidence-based basis for health resource allocation and decision-making for schistosomiasis control.
ABSTRACT
Objective:To study the prevalence and epidemiological characteristics of adult thyroid nodules in Wuhan City, and to analyze the influencing factors of thyroid nodules, so as to provide basis for prevention and treatment of adult thyroid nodules in Wuhan City.Methods:From 2019 to 2021, two communities or towns were selected from each of the 13 districts in Wuhan City using multi-stage cluster random sampling method. One hundred permanent residents over the age of 16 were selected from each community or town according to the inclusion and exclusion criteria (age and sex ratio balanced), for questionnaire survey, physical examination, urinary iodine test and thyroid ultrasound examination. The influencing factors of thyroid nodules was analyzed using logistic regession and Spearman correlation.Results:A total of 2 578 adults were investigated, including 1 168 men and 1 410 women. The age was (41.79 ± 13.01) years. The prevalence of thyroid nodules was 35.49% (915/2 578). The prevalence of single nodules was 19.16% (494/2 578), which was higher than that of multiple nodules [16.33% (421/2 578), χ 2 = 2 577.00, P < 0.001]. Multivariate logistic regression analysis showed that female ( OR = 2.033, 95% CI: 1.631 - 2.535), older ( OR = 1.404, 95% CI: 1.290 - 1.528), history of thyroid disease ( OR = 1.351, 95% CI: 1.211 - 1.506) and diabetes ( OR = 1.449, 95% CI: 1.083 - 1.938) were independent risk factors for adult thyroid nodules ( P < 0.05). The median urinary iodine of residents in Wuhan City was 185.32 μg/L, at an appropriate level of iodine nutrition, there was no correlation between urinary iodine and thyroid nodules ( r = 0.02, P = 0.391). Conclusions:The prevalence of thyroid nodules of adults in Wuhan City is high. Women, older, a history of thyroid diseases and diabetes are all risk factors for thyroid nodules. No correlation is found between urinary iodine level and thyroid nodules.