Study of surveillance data for class B notifiable disease in China from 2005 to 2014

Zhang, Xing-Yu; Hou, Fengsu; Li, Xiaosong; Zhou, Ling; Liu, Yuanyuan; Zhang, Tao

doi:10.1016/j.ijid.2016.04.010

Cited by 39 publications

(45 citation statements)

References 15 publications

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“…Typhoid cases peaked in the summer, which is in accordance with other studies that have shown increases in typhoid with increases in temperature and rainfall [29]. The China study examining notifiable disease reports also found the greatest typhoid incidence in the summer [19]. …”

Section: Discussionsupporting

confidence: 87%

Trends of vaccine-preventable diseases in Afghanistan from the Disease Early Warning System, 2009–2015

et al. 2017

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BackgroundAfghanistan’s public health system was neglected during decades of military and civil conflict, and trends in infectious disease occurrence remain poorly characterized. This study examines cyclical and long-term trends of six vaccine-preventable diseases: pneumonia, diarrhea, meningitis, typhoid, measles, and acute viral hepatitis.MethodsUsing weekly data collected between 2009 and 2015 through Afghanistan’s Disease Early Warning System, we calculated monthly case counts, and fit a Poisson regression with a Fourier transformation for seasonal cycles and dummy variables for year.ResultsWe found the greatest incidence of diarrhea and typhoid in the summer, pneumonia in the winter, and measles in the late spring. Meningitis and acute viral hepatitis did not demonstrate substantial seasonality. Rates of pneumonia and diarrhea were constant across years whereas rates of meningitis, typhoid, and acute viral hepatitis decreased. Measles incidence increased in 2015.ConclusionsCommunicable disease reporting systems can guide public health operations–such as the implementation of new vaccines, and permit evaluation of health interventions. For example, measles supplementary immunization activities in Afghanistan have not slowed long-term transmission of the disease, but decreases in typhoid fever and acute viral hepatitis are probably tied to improvements in sanitation in the country.

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Section: Discussionsupporting

confidence: 87%

Trends of vaccine-preventable diseases in Afghanistan from the Disease Early Warning System, 2009–2015

et al. 2017

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“…Seasonal patterns are a major cornerstone in understanding subtle but drastic effects of climate change on disease dynamics. 7 22 From the present analysis of surveillance data on China's population, we conclude that rubella, HFMD and diarrhoea most frequently occur in summer, whereas conjunctivitis and typhus are most prevalent during summer and autumn, and hydatid disease incidence peaks in winter. There is no fixed seasonality for influenza incidence, and no obvious seasonality was detected for kala-azar.…”

Section: Discussionmentioning

confidence: 75%

“…Class B includes infectious diseases that might cause epidemics such as tuberculosis, syphilis and viral hepatitis. 8 We reported the incidence of class B notifiable diseases in our previous study, 7 with sexual diseases, viral hepatitis and tuberculosis being population health challenges. 7 Class C includes less severe and less infectious diseases such as hand, foot and mouth disease (HFMD), diarrhoea and influenza.…”

Section: Introductionmentioning

confidence: 98%

“… 5 6 Class A includes plague and cholera, which can cause large epidemics in a very short time. 7 There are no reports on time series of class A notifiable diseases, as only a few cases have been reported over several decades. Class B includes infectious diseases that might cause epidemics such as tuberculosis, syphilis and viral hepatitis.…”

Section: Introductionmentioning

confidence: 99%

“… 9 This method has been used to analyse the seasonality and secular trend of class B notifiable infectious diseases in China. 7 9 Autoregressive integrated moving average (ARIMA) models are one of the most widely used infection time series models and have been used to fit tuberculosis, 11 typhoid fever, 12 gonorrhoea 13 and hepatitis. 14 ARIMA is composed of a differencing process and an autoregressive and moving average (ARMA) model, 15 16 which views the infection rate at time t as a linear combination of its previous values and the residuals.…”

Section: Introductionmentioning

confidence: 99%

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Temporal and long-term trend analysis of class C notifiable diseases in China from 2009 to 2014

et al. 2016

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ObjectivesTime series models are effective tools for disease forecasting. This study aims to explore the time series behaviour of 11 notifiable diseases in China and to predict their incidence through effective models.Settings and participantsThe Chinese Ministry of Health started to publish class C notifiable diseases in 2009. The monthly reported case time series of 11 infectious diseases from the surveillance system between 2009 and 2014 was collected.MethodsWe performed a descriptive and a time series study using the surveillance data. Decomposition methods were used to explore (1) their seasonality expressed in the form of seasonal indices and (2) their long-term trend in the form of a linear regression model. Autoregressive integrated moving average (ARIMA) models have been established for each disease.ResultsThe number of cases and deaths caused by hand, foot and mouth disease ranks number 1 among the detected diseases. It occurred most often in May and July and increased, on average, by 0.14126/100 000 per month. The remaining incidence models show good fit except the influenza and hydatid disease models. Both the hydatid disease and influenza series become white noise after differencing, so no available ARIMA model can be fitted for these two diseases.ConclusionTime series analysis of effective surveillance time series is useful for better understanding the occurrence of the 11 types of infectious disease.

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Comparison and evaluation of Abbott chemiluminescent microparticle immunoassay and ChIVD light‐initiated chemiluminescent assay in the detection of Treponema pallidum antibody

Chen

Yang

Liang

et al. 2020

Clinical Laboratory Analysis

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Background Laboratory tests play an important role in the diagnosis of syphilis. This study aimed to compare and assess the performance of the Abbott chemiluminescent microparticle immunoassay (CMIA) and the ChIVD light‐initiated chemiluminescent assay (LICA) in the detection of Treponema pallidum ( TP ) antibody. Methods A total of 10 498 serum samples were detected with two assays, and the Treponema pallidum particle agglutination assay (TPPA) and recombinant immunoblot assay (RIBA) methods were used for confirmation. The sensitivity, specificity, positive predictive value, and negative predictive value of the Abbott CMIA and ChIVD LICA were calculated. The coincidence rate between two assays was also evaluated. The causes of false positive and false negative of two assays were studied. Results For the Abbott CMIA and ChIVD LICA, the sensitivity was 94.44% and 98.15%, the specificity was 99.89% and 99.81%, the positive predictive value was 93.29% and 88.83%, and the negative predictive value was 99.91% and 99.97%, respectively. The coincidence rate between Abbott CMIA and ChIVD LICA was 99.26%, and κ value was .790. The disease of infertility, hypertensive disease, liver disease, and cancer were the common causes of false positive in both assays, while infertility was also the main reason lead to false negative. Conclusion Our results demonstrated that the Abbott CMIA and ChIVD LICA generally had high sensitivity and specificity and therefore may be suitable for the detection of TP antibody and screening for syphilis.

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Study of surveillance data for class B notifiable disease in China from 2005 to 2014

Abstract: Effective surveillance is helpful in gaining a better understanding of the infection behaviour of infectious diseases; this will greatly facilitate disease control and management.

Cited by 39 publications

References 15 publications

Trends of vaccine-preventable diseases in Afghanistan from the Disease Early Warning System, 2009–2015

Trends of vaccine-preventable diseases in Afghanistan from the Disease Early Warning System, 2009–2015

Temporal and long-term trend analysis of class C notifiable diseases in China from 2009 to 2014

Comparison and evaluation of Abbott chemiluminescent microparticle immunoassay and ChIVD light‐initiated chemiluminescent assay in the detection of Treponema pallidum antibody

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