Infectious diseases prevention and control using an integrated health big data system in China
Abstract Background The Yinzhou Center for Disease Prevention and Control (CDC) in China implemented an integrated health big data platform (IHBDP) that pooled health data from healthcare providers to combat the spread of infectious diseases, such as dengue fever and pulmonary tuberculosis (TB), and...
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| Format: | Article |
| Language: | English |
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BMC
2022-04-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12879-022-07316-3 |
| _version_ | 1828734153513762816 |
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| author | Xudong Zhou Edmund Wei Jian Lee Xiaomin Wang Leesa Lin Ziming Xuan Dan Wu Hongbo Lin Peng Shen |
| author_facet | Xudong Zhou Edmund Wei Jian Lee Xiaomin Wang Leesa Lin Ziming Xuan Dan Wu Hongbo Lin Peng Shen |
| author_sort | Xudong Zhou |
| collection | DOAJ |
| description | Abstract Background The Yinzhou Center for Disease Prevention and Control (CDC) in China implemented an integrated health big data platform (IHBDP) that pooled health data from healthcare providers to combat the spread of infectious diseases, such as dengue fever and pulmonary tuberculosis (TB), and to identify gaps in vaccination uptake among migrant children. Methods IHBDP is composed of medical data from clinics, electronic health records, residents’ annual medical checkup and immunization records, as well as administrative data, such as student registries. We programmed IHBDP to automatically scan for and detect dengue and TB carriers, as well as identify migrant children with incomplete immunization according to a comprehensive set of screening criteria developed by public health and medical experts. We compared the effectiveness of the big data screening with existing traditional screening methods. Results IHBDP successfully identified six cases of dengue out of a pool of 3972 suspected cases, whereas the traditional method only identified four cases (which were also detected by IHBDP). For TB, IHBDP identified 288 suspected cases from a total of 43,521 university students, in which three cases were eventually confirmed to be TB carriers through subsequent follow up CT or T-SPOT.TB tests. As for immunization screenings, IHBDP identified 240 migrant children with incomplete immunization, but the traditional door-to-door screening method only identified 20 ones. Conclusions Our study has demonstrated the effectiveness of using IHBDP to detect both acute and chronic infectious disease patients and identify children with incomplete immunization as compared to traditional screening methods. |
| first_indexed | 2024-04-12T22:43:12Z |
| format | Article |
| id | doaj.art-f49b355ba739438c8e9fc2aacfebc4ad |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-04-12T22:43:12Z |
| publishDate | 2022-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-f49b355ba739438c8e9fc2aacfebc4ad2022-12-22T03:13:39ZengBMCBMC Infectious Diseases1471-23342022-04-012211910.1186/s12879-022-07316-3Infectious diseases prevention and control using an integrated health big data system in ChinaXudong Zhou0Edmund Wei Jian Lee1Xiaomin Wang2Leesa Lin3Ziming Xuan4Dan Wu5Hongbo Lin6Peng Shen7The Second Affiliated Hospital, Zhejiang University School of MedicineWee Kim Wee School of Communication and Information, Nanyang Technological UniversityInstitute of Social & Family Medicine, Zhejiang University School of MedicineLaboratory of Data Discovery for Health (D24H), Hong Kong Science ParkDepartment of Community Health Sciences, Boston University School of Public HealthDepartment of Clinical Research, London School of Hygiene & Tropical MedicineYinzhou Center for Disease Prevention and ControlYinzhou Center for Disease Prevention and ControlAbstract Background The Yinzhou Center for Disease Prevention and Control (CDC) in China implemented an integrated health big data platform (IHBDP) that pooled health data from healthcare providers to combat the spread of infectious diseases, such as dengue fever and pulmonary tuberculosis (TB), and to identify gaps in vaccination uptake among migrant children. Methods IHBDP is composed of medical data from clinics, electronic health records, residents’ annual medical checkup and immunization records, as well as administrative data, such as student registries. We programmed IHBDP to automatically scan for and detect dengue and TB carriers, as well as identify migrant children with incomplete immunization according to a comprehensive set of screening criteria developed by public health and medical experts. We compared the effectiveness of the big data screening with existing traditional screening methods. Results IHBDP successfully identified six cases of dengue out of a pool of 3972 suspected cases, whereas the traditional method only identified four cases (which were also detected by IHBDP). For TB, IHBDP identified 288 suspected cases from a total of 43,521 university students, in which three cases were eventually confirmed to be TB carriers through subsequent follow up CT or T-SPOT.TB tests. As for immunization screenings, IHBDP identified 240 migrant children with incomplete immunization, but the traditional door-to-door screening method only identified 20 ones. Conclusions Our study has demonstrated the effectiveness of using IHBDP to detect both acute and chronic infectious disease patients and identify children with incomplete immunization as compared to traditional screening methods.https://doi.org/10.1186/s12879-022-07316-3Electronic health recordsBig data analyticsInfectious diseaseDenguePulmonary tuberculosisImmunization |
| spellingShingle | Xudong Zhou Edmund Wei Jian Lee Xiaomin Wang Leesa Lin Ziming Xuan Dan Wu Hongbo Lin Peng Shen Infectious diseases prevention and control using an integrated health big data system in China BMC Infectious Diseases Electronic health records Big data analytics Infectious disease Dengue Pulmonary tuberculosis Immunization |
| title | Infectious diseases prevention and control using an integrated health big data system in China |
| title_full | Infectious diseases prevention and control using an integrated health big data system in China |
| title_fullStr | Infectious diseases prevention and control using an integrated health big data system in China |
| title_full_unstemmed | Infectious diseases prevention and control using an integrated health big data system in China |
| title_short | Infectious diseases prevention and control using an integrated health big data system in China |
| title_sort | infectious diseases prevention and control using an integrated health big data system in china |
| topic | Electronic health records Big data analytics Infectious disease Dengue Pulmonary tuberculosis Immunization |
| url | https://doi.org/10.1186/s12879-022-07316-3 |
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