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      Spatial Analysis of Tuberculosis Cases in Migrants and Permanent Residents, Beijing, 2000–2006

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          Abstract

          Population fluctuation is a risk factor for TB in Beijing.

          Abstract

          To determine the role of the migrant population in the transmission of tuberculosis (TB), we investigated the distribution and magnitude of TB in permanent residents and migrant populations of Beijing, People’s Republic of China, from 2000 through 2006. An exploratory spatial data analysis was applied to detect the “hot spots” of TB among the 2 populations. Results, using the data obtained from 2004–2006, showed that people who migrated from the western, middle, and eastern zones of China had a significantly higher risk of having TB than did permanent residents. These findings indicate that population fluctuations have affected the rate of TB prevalence in Beijing, and interventions to control TB should include the migrant population.

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          The Analysis of Spatial Association by Use of Distance Statistics

          Arthur Getis, J. Ord (1992)
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            Transmission of infectious diseases during commercial air travel

            Alexandra Mangili, Mark Gendreau (2005)
            Summary Because of the increasing ease and affordability of air travel and mobility of people, airborne, food-borne, vector-borne, and zoonotic infectious diseases transmitted during commercial air travel are an important public health issue. Heightened fear of bioterrorism agents has caused health officials to re-examine the potential of these agents to be spread by air travel. The severe acute respiratory syndrome outbreak of 2002 showed how air travel can have an important role in the rapid spread of newly emerging infections and could potentially even start pandemics. In addition to the flight crew, public health officials and health care professionals have an important role in the management of infectious diseases transmitted on airlines and should be familiar with guidelines provided by local and international authorities.
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              Multilevel modelling of medical data.

              Harvey Goldstein, William F Browne, Jon Rasbash (2002)
              This tutorial presents an overview of multilevel or hierarchical data modelling and its applications in medicine. A description of the basic model for nested data is given and it is shown how this can be extended to fit flexible models for repeated measures data and more complex structures involving cross-classifications and multiple membership patterns within the software package MLwiN. A variety of response types are covered and both frequentist and Bayesian estimation methods are described. Copyright 2002 John Wiley & Sons, Ltd.
              Article 0 comments Cited 98 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Emerg Infect Dis
                Journal ID (publisher-id): EID
                Title: Emerging Infectious Diseases
                Publisher: Centers for Disease Control and Prevention
                ISSN (Print): 1080-6040
                ISSN (Electronic): 1080-6059
                Publication date (Print): September 2008
                Volume: 14
                Issue: 9
                Pages: 1413-1419
                Affiliations
                [1]Capital Medical University, Beijing, People’s Republic of China (PRC) (Z.-W. Jia)
                [2]State Key Laboratory of Pathogen and Biosecurity, Beijing (Z.-W. Jia, W.-Y. Zhang, W.-C. Cao)
                [3]Chinese Center for Disease Control and Prevention, Beijing (X.W. Jia)
                [4]Chinese PLA General Hospital, Beijing (Y.-X. Liu)
                [5]World Health Organization, Geneva, Switzerland (C. Dye)
                [6]Nanjing Medical University, Nanjing, PRC (F. Chen)
                [7]Fourth Military Medical University, Xi’an, PRC (C.-S. Chen, H.-L. Liu)
                [8]Chinese Academy of Sciences, Beijing (X.-W. Li)
                Author notes
                Addresses for correspondence: He-Liang Liu, Department of Urology, Xijing Hospital, The Fourth Military Medical University, 17 Changle West Rd, Xi’an 710032, People’s Republic of China; email: liuhel@ 123456fmmu.edu.cn ; and Wu-Chun Cao, State Key Laboratory of Pathogens and Biosecurity, 20 Dong Da St, Beijing, 1000070, People’s Republic of China; email: caowc@ 123456nnic.bmi.ac.cn
                Article
                Publisher ID: 07-1543
                DOI: 10.3201/1409.071543
                PMC ID: 2603090
                PubMed ID: 18760008
                SO-VID: 04bff615-ae2d-4491-8abc-cd8d1089a8df
                History
                Categories
                Subject: Research

                ScienceOpen disciplines: Infectious disease & Microbiology
                Keywords: migrant population,spatial analysis,pulmonary tuberculosis,research,extra poisson model
                Data availability:
                ScienceOpen disciplines: Infectious disease & Microbiology
                Keywords: migrant population, spatial analysis, pulmonary tuberculosis, research, extra poisson model

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