19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Fever in Children - an Assessment of Validity by a Shewhart Model in a Syndromic Surveillance System in China

      abstract

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objective To evaluate the validity of a syndromic surveillance system in health facilities of rural China, signals generated by Shewhart charts from the reported febrile patients in children were compared with that from the common infectious disease patients reported to the conventional case report system (CISDCP, China Information System for Disease Control and Prevention) Introduction Since April 2012, an integrated syndromic surveillance system in rural China (ISSC) has been established in health facilities in two rural counties of Jiangxi Province, China [1]. The objective of ISSC is to integrate syndromic surveillance with conventional case report system for the early detection of infectious disease outbreak in rural China. Methods A total of 167 health facilities including 2 county hospitals, 15 township hospitals and 150 village health stations were sampled as surveillance sites in 2 counties in Jiangxi province, China. Health facility visits of patients with ten major symptoms including fever, cough, sore throat, diarrhea, and nausea/vomiting, together with their age and gender were reported to a web-based platform during April 2012 and March 2014. Data on children patients with CID common infectious diseases (CID) in these two counties reported to the CISDCP during the same period were retrieved including measles, hand foot mouth disease (HFMD), chickenpox, rubella, influenza, and mump. The time trend and alert signals in both ISSC and CISDCP were generated by Shewhart model [2] (baseline=15 days, lag= 2 days, σ=3). Sensitivity and PPV were used to compare the signals generated in ISSC with that in CISDCP (using the signals in CISDCP as reference). A matched signal was defined as a signal generated in ISSC having at least one corresponding signal occurred in CISDCP within a duration of 7 days. Results There were 28,049 and 42,029 reports respectively for febrile patients in children from health facilities in these two counties during the two-year period. According to the CISDCP, there were 511 and 1779 selected CID cases reported respectively (Table 1). Table1. Records of children febrile patients in ISSC and CID in CISDCP The time trend of febrile patients and CID patients with Shewhart signals were illustrated in Figure 1 and figure 2. The time trend of the two datasets generally matched to each other. However in Jan. 2014 there was a peak in febrile patients in ISSC with no observed changes in CIDs in CISDCP. The sensitivity were 29.03% and 34.78%. The PPVs were 64.29% and 53.33% in the two counties respectively. (Table 2.) Table2. Numbers of signals generated by Shewhart model and sensitivity & PPV Conclusions Conclusion: The sensitivity of signals in the syndromic surveillance is relatively low using the Shewhart model. This might be the result of using the non-specific symptom - fever. HoweverPPV was relatively high in fever in ISSC for detecting CID within children using Shewhart model. These results suggested that this system had potential ability to supplement conventional case report system in detecting common infectious disease outbreaks in children, under the condition that every signal can be verified with high quality by local disease control workers. County F County Y

          Related collections

          Most cited references2

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          ISS-An Electronic Syndromic Surveillance System for Infectious Disease in Rural China

          Background syndromic surveillance system has great advantages in promoting the early detection of epidemics and reducing the necessities of disease confirmation, and it is especially effective for surveillance in resource poor settings. However, most current syndromic surveillance systems are established in developed countries, and there are very few reports on the development of an electronic syndromic surveillance system in resource-constrained settings. Objective this study describes the design and pilot implementation of an electronic surveillance system (ISS) for the early detection of infectious disease epidemics in rural China, complementing the conventional case report surveillance system. Methods ISS was developed based on an existing platform ‘Crisis Information Sharing Platform’ (CRISP), combining with modern communication and GIS technology. ISS has four interconnected functions: 1) work group and communication group; 2) data source and collection; 3) data visualization; and 4) outbreak detection and alerting. Results As of Jan. 31st 2012, ISS has been installed and pilot tested for six months in four counties in rural China. 95 health facilities, 14 pharmacies and 24 primary schools participated in the pilot study, entering respectively 74256, 79701, and 2330 daily records into the central database. More than 90% of surveillance units at the study sites are able to send daily information into the system. In the paper, we also presented the pilot data from health facilities in the two counties, which showed the ISS system had the potential to identify the change of disease patterns at the community level. Conclusions The ISS platform may facilitate the early detection of infectious disease epidemic as it provides near real-time syndromic data collection, interactive visualization, and automated aberration detection. However, several constraints and challenges were encountered during the pilot implementation of ISS in rural China.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Use of CUSUM and Shewhart charts to monitor regional trends of birth defect reports in New York State.

            Cumulative sum (CUSUM) charts were originally developed for industrial quality control, but may be adapted for the surveillance of health outcome data, such as birth defects. The reported prevalence of birth defects can vary due to differences in case ascertainment, surveillance practices, or true changes in prevalence. We examined the utility of CUSUM and Shewhart charts for detect-ing changes in prevalence of two different birth defect groups. We chose obstructive renal defects because we expected an increase in reporting due to improved diagnosis. We chose oral clefts for comparison because we expected reporting to be unaffected by changes in diagnostic technologies. Data from the New York State Congenital Malformations Registry from 1992-1999 were analyzed using self-starting binomial CUSUM and Shewhart charts for four regions of New York State. CUSUM charts show that reports of obstructive urinary defects have increased from 1992-1999 in all regions of New York State. Reports of oral clefts increased only on Long Island. The CUSUM method proved useful for identifying changes in birth defect reporting and was able to detect the expected increases in obstructive renal defects. The apparent increase is likely due to improvements in diagnostic imaging techniques. In contrast, we only detected an increase in oral clefts on Long Island, which may be related to under report-ing of cases in the earlier years. CUSUM charts are useful in detecting small, sustained increases in prevalences over time while Shewhart charts are easier to interpret and can detect large sharp increases.
              Bookmark

              Author and article information

              Journal
              Online J Public Health Inform
              Online J Public Health Inform
              OJPHI
              Online Journal of Public Health Informatics
              University of Illinois at Chicago Library
              1947-2579
              26 February 2015
              2015
              : 7
              : 1
              : e180
              Affiliations
              Public Health, Fudan University, Shanghai, China; Jiangxi Province Center for Disease Prevention and Control, Nanchang, China; Karolinska Institutet, Stockholm, Sweden; Future Position X, Gavle, Sweden
              Author notes
              [* ]Changming Zhou, E-mail: 12111020001@ 123456fudan.edu.cn
              Article
              ojphi-07-e180
              10.5210/ojphi.v7i1.5848
              4512459
              01031efb-4a12-4e77-a5da-ef220ae58fcd
              ISDS Annual Conference Proceedings 2014. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License ( http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
              History
              Categories
              ISDS 2014 Conference Abstracts

              syndromic surveillance,shewhart model,children
              syndromic surveillance, shewhart model, children

              Comments

              Comment on this article