Last data update: Sep 16, 2024. (Total: 47680 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Nguyen DM [original query] |
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Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science
Giabbanelli PJ , Galgoczy MC , Nguyen DM , Foy R , Rice KL , Nataraj N , Brown MM , Harper CR . Proc IEEE ACM Int Conf Adv Soc Netw Anal Min 12/28/2021 12 (1) 339-342 Suicide rates are steadily increasing among youth in the USA. Although several theories and frameworks of suicide have been developed, they do not account for some of the features that define suicide as a complex problem, such as a large number of interrelationships and cycles. In this paper, we create the first c omprehensive m ap o f a dverse c hildhood experiences (ACEs) and suicide for youth, by combining a participatory approach (involving 15 subject-matter experts) and network science. This results in a map of 946 edges and 361 concepts, in which we identify ACEs to be the most important factor (per degree centrality). The map is openly shared with the community to support further network analyses (e.g., decomposition into clusters). Similarly to the high-impact Foresight Map developed in the context of obesity, the largest map on suicide and ACEs to date presented in this paper can start a discussion at the crossroad of suicide research and network science, thus bringing new means to address a complex public health challenge. |
Hospitalization of paediatric patients for methicillin-resistant Staphylococcus aureus skin and soft-tissue infection, 1998-2006
Sircar KD , Bancroft E , Nguyen DM , Mascola L . Epidemiol Infect 2010 138 (5) 677-82 Hospital discharge reports have provided data for studies of methicillin-resistant Staphylococcus aureus (MRSA) skin and soft-tissue infection (SSTI) studies. This analysis determined the sensitivity and positive predictive value of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code combinations to calculate hospitalization incidence rates, representativeness of a set of three ICD-9-CM codes to define MRSA SSTI, and hospitalization incidence rate trends for paediatric MRSA SSTIs in Los Angeles County (LAC). Using 133 cases from 31 hospitals, we found that the set of three ICD-9-CM codes used to define laboratory-confirmed cases had one of the highest positive predictive values (49%). There was no difference in age and race between those categorized using three codes vs. other code combinations. A dramatic increase in paediatric MRSA SSTI cases occurred in LAC during 1998-2006. We conclude that this combination of codes may be used to determine the rise of MRSA SSTIs in paediatric populations. |
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