Public health in genetic spaces: a statistical framework to optimize cluster-based outbreak detection
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[1] Tomoki Nakaya,et al. An Information Statistical Approach to the Modifiable Areal Unit Problem in Incidence Rate Maps , 2000 .
[2] Gary C. White,et al. Statistical Applications in the Spatial Sciences. , 1981 .
[3] Satoru Kawai,et al. An Algorithm for Drawing General Undirected Graphs , 1989, Inf. Process. Lett..
[4] Sikhulile Moyo,et al. Impact of sampling density on the extent of HIV clustering. , 2014, AIDS research and human retroviruses.
[5] A. Lawson,et al. Review of methods for space–time disease surveillance , 2010, Spatial and Spatio-temporal Epidemiology.
[6] W. Lipkin,et al. Precision Surveillance for Viral Respiratory Pathogens: Virome Capture Sequencing for the Detection and Genomic Characterization of Severe Acute Respiratory Infection in Uganda , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[7] Myat Su Yin,et al. Complexity-Based Spatial Hierarchical Clustering for Malaria Prediction , 2018, J. Heal. Informatics Res..
[8] R. Remien,et al. Stigma in the HIV/AIDS epidemic: a review of the literature and recommendations for the way forward , 2008, AIDS.
[9] C. Fraser,et al. Sources of HIV infection among men having sex with men and implications for prevention , 2016, Science Translational Medicine.
[10] Ellsworth M. Campbell,et al. Identifying Clusters of Recent and Rapid HIV Transmission Through Analysis of Molecular Surveillance Data , 2018, Journal of acquired immune deficiency syndromes.
[11] Jan Albert,et al. Defining HIV-1 transmission clusters based on sequence data , 2017, AIDS.
[12] Lin Liu,et al. Reducing MAUP bias of correlation statistics between water quality and GI illness , 2008, Comput. Environ. Urban Syst..
[13] M. Sawada,et al. The modifiable areal unit problem (MAUP) in the relationship between exposure to NO2 and respiratory health , 2011, International journal of health geographics.
[14] T. Cheng,et al. Modifiable Temporal Unit Problem (MTUP) and Its Effect on Space-Time Cluster Detection , 2014, PloS one.
[15] Bartek Wilczynski,et al. Biopython: freely available Python tools for computational molecular biology and bioinformatics , 2009, Bioinform..
[16] A. France,et al. Estimating Effects of HIV Sequencing Data Completeness on Transmission Network Patterns and Detection of Growing HIV Transmission Clusters. , 2019, AIDS research and human retroviruses.
[17] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[18] O. Laeyendecker,et al. Identifying Transmission Clusters with Cluster Picker and HIV-TRACE. , 2016, AIDS research and human retroviruses.
[19] P. Harrigan,et al. The impact of clinical, demographic and risk factors on rates of HIV transmission: a population-based phylogenetic analysis in British Columbia, Canada. , 2015, The Journal of infectious diseases.
[20] Ann M. Dennis,et al. Phylogenetic insights into regional HIV transmission , 2012, AIDS.
[21] Erik M. Volz,et al. Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection , 2012, PLoS Comput. Biol..
[22] Brandon D. L. Marshall,et al. Phylogenetic clustering of hepatitis C virus among people who inject drugs in Vancouver, Canada , 2014, Hepatology.
[23] A. Leigh Brown,et al. Recent and Rapid Transmission of HIV Among People Who Inject Drugs in Scotland Revealed Through Phylogenetic Analysis , 2018, The Journal of infectious diseases.
[24] Ann M. Dennis,et al. HIV-1 Transmission Clustering and Phylodynamics Highlight the Important Role of Young Men Who Have Sex with Men , 2018, AIDS research and human retroviruses.
[25] Steven Weaver,et al. HIV-TRACE (TRAnsmission Cluster Engine): a Tool for Large Scale Molecular Epidemiology of HIV-1 and Other Rapidly Evolving Pathogens. , 2018, Molecular biology and evolution.
[26] J. O. Wertheim,et al. Using Molecular HIV Surveillance Data to Understand Transmission Between Subpopulations in the United States , 2015, Journal of acquired immune deficiency syndromes.
[27] J. Hemelaar. Implications of HIV diversity for the HIV-1 pandemic. , 2013, The Journal of infection.
[28] C. Fraser,et al. Molecular Epidemiology of HIV-1 Subtype B Reveals Heterogeneous Transmission Risk: Implications for Intervention and Control , 2018, The Journal of infectious diseases.
[29] Ben Murrell,et al. Social and Genetic Networks of HIV-1 Transmission in New York City , 2017, PLoS pathogens.
[30] Ann M. Dennis,et al. Characterizing HIV transmission networks across the United States. , 2012, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[31] Daniel J. Wilson,et al. Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: a retrospective observational study , 2013, The Lancet. Infectious diseases.
[32] S. Openshaw. A million or so correlation coefficients : three experiments on the modifiable areal unit problem , 1979 .
[33] WolfElizabeth,et al. Short Communication: Phylogenetic Evidence of HIV-1 Transmission Between Adult and Adolescent Men Who Have Sex with Men. , 2016 .
[34] Genshiro Kitagawa,et al. Selected papers of Hirotugu Akaike , 1998 .
[35] P. Lemey,et al. The multi-faceted dynamics of HIV-1 transmission in Northern Alberta: A combined analysis of virus genetic and public health data. , 2017, Infection, Genetics and Evolution.
[36] Richard Platt,et al. Automated Detection of Infectious Disease Outbreaks in Hospitals: A Retrospective Cohort Study , 2010, PLoS medicine.
[37] Samantha Lycett,et al. Automated analysis of phylogenetic clusters , 2013, BMC Bioinformatics.
[38] Art F. Y. Poon,et al. Near real-time monitoring of HIV transmission hotspots from routine HIV genotyping: an implementation case study , 2016, The lancet. HIV.
[39] M. Kulldorff,et al. A Space–Time Permutation Scan Statistic for Disease Outbreak Detection , 2005, PLoS medicine.
[40] M. Nei,et al. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. , 1993, Molecular biology and evolution.
[41] Forrest W. Crawford,et al. Dynamics of the HIV outbreak and response in Scott County, IN, USA, 2011-15: a modelling study. , 2018, The lancet. HIV.
[42] Tulio de Oliveira,et al. Transmission networks and risk of HIV infection in KwaZulu-Natal, South Africa: a community-wide phylogenetic study. , 2017, The lancet. HIV.
[43] D. M. Junqueira,et al. Short-Term Dynamic and Local Epidemiological Trends in the South American HIV-1B Epidemic , 2016, PloS one.
[44] Ann M. Dennis,et al. Prediction of HIV Transmission Cluster Growth With Statewide Surveillance Data , 2019, Journal of acquired immune deficiency syndromes.
[45] A. Poon. Impacts and shortcomings of genetic clustering methods for infectious disease outbreaks , 2016, Virus evolution.
[46] P. Vernazza,et al. Can the UNAIDS 90-90-90 target be achieved? A systematic analysis of national HIV treatment cascades , 2016, BMJ Global Health.