5 results on '"Jimmy Loh"'
Search Results
2. Epidemiology of the four human coronaviruses 229E, HKU1, NL63 and OC43 detected over 30 months in the Singapore military
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A. Dua, S.W.J. Chew, P.J. Ting, Vernon J. Lee, W.H.V. Koh, B.H. Tan, C. Kan, Q.H.C. Gao, C.W.J. Liaw, C.H. Tan, Jimmy Loh, A.S.E. Lim, H.P.V. Ho, S.H. Ng, and K.W. Chan
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Microbiology (medical) ,Pediatrics ,medicine.medical_specialty ,business.industry ,education ,General Medicine ,Article ,Infectious Diseases ,stomatognathic system ,Epidemiology ,medicine ,business ,human activities ,health care economics and organizations ,geographic locations - Published
- 2012
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3. 2009 Influenza A(H1N1) Seroconversion Rates and Risk Factors Among Distinct Adult Cohorts in Singapore
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Vernon J. Lee, Robert Shaw, Lin Cui, Anne Kelso, Chris Durrant, Alex R. Cook, Kee Seng Chia, Jonathan Yap, Boon-Huan Tan, Yee Sin Leo, Jimmy Loh, Vincent T. K. Chow, Mark I-Cheng Chen, Ian G. Barr, Karen L. Laurie, Wei-Yen Lim, Gerald Choon-Huat Koh, Linda W.L. Tan, and Raymond T. P. Lin
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Population ,Context (language use) ,Antibodies, Viral ,Cohort Studies ,Young Adult ,Influenza A Virus, H1N1 Subtype ,Risk Factors ,Acute care ,Internal medicine ,Influenza, Human ,medicine ,Humans ,Seroconversion ,Risk factor ,education ,Aged ,Aged, 80 and over ,Singapore ,education.field_of_study ,business.industry ,General Medicine ,Odds ratio ,Middle Aged ,Antibody Formation ,Immunology ,Female ,Disease Susceptibility ,business ,Blood sampling ,Cohort study - Abstract
Context Singapore experienced a single epidemic wave of 2009 influenza A(H1N1) with epidemic activity starting in late June 2009 and peaking in early August before subsiding within a month. Objective To compare the risk and factors associated with H1N1 seroconversion in different adult cohorts. Design, Setting, and Participants A study with serial serological samples from 4 distinct cohorts: general population (n = 838), military personnel (n = 1213), staff from an acute care hospital (n = 558), and staff as well as residents from long-term care facilities (n = 300) from June 22, 2009, to October 15, 2009. Hemagglutination inhibition results of serum samples taken before, during, and after the epidemic and data from symptom questionnaires are presented. Main Outcome Measures A 4-fold or greater increase in titer between any of the 3 serological samples was defined as evidence of H1N1 seroconversion. Results Baseline titers of 40 or more were observed in 22 members (2.6%; 95% confidence interval [CI], 1.7%-3.9%) of the community, 114 military personnel (9.4%; 95% CI, 7.9%-11.2%), 37 hospital staff (6.6%; 95% CI, 4.8%-9.0%), and 20 participants from long-term care facilities (6.7%; 95% CI, 4.4%-10.1%). In participants with 1 or more follow-up serum samples, 312 military personnel (29.4%; 95% CI, 26.8%-32.2%) seroconverted compared with 98 community members (13.5%; 95% CI, 11.2%-16.2%), 35 hospital staff (6.5%; 95% CI, 4.7%-8.9%), and only 3 long-term care participants (1.2%; 95% CI, 0.4%-3.5%). Increased frequency of seroconversion was observed for community participants from households in which 1 other member seroconverted (adjusted odds ratio [OR], 3.32; 95% CI, 1.50-7.33), whereas older age was associated with reduced odds of seroconversion (adjusted OR, 0.77 per 10 years; 95% CI, 0.64-0.93). Higher baseline titers were associated with decreased frequency of seroconversion in community (adjusted OR for every doubling of baseline titer, 0.48; 95% CI, 0.27-0.85), military (adjusted OR, 0.71; 95% CI, 0.61-0.81), and hospital staff cohorts (adjusted OR, 0.50; 95% CI, 0.26-0.93). Conclusion Following the June-September 2009 wave of 2009 influenza A(H1N1), 13% of the community participants seroconverted, and most of the adult population likely remained susceptible.
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- 2010
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4. South-Asian tsunami
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Eong Ooi Eng, Delphine Sauvageot, Victor Wee Hong Koh, Jimmy Loh, Rinaldo Bellomo, Eric P.H. Yap, Vincent Brown, Charith Ratuwithana, Alapana D. Sagar, Masamine Jimba, Arani Nitkunan, K. R. Nayar, Jean Paul Guthmann, Yng Ng Yih, Marie Eve Burny, Loris De Filippi, Susumu Wakai, and Nereo Zamperetti
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South asia ,Geography ,Ethnology ,General Medicine - Published
- 2005
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5. Emergence of norovirus GI.2 outbreaks in military camps in Singapore
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Ching Ging Ng, Gunalan Vithia, Zheng Jie Marc Ho, Jian Ming Vernon Lee, Clive Tan, Sebastian Maurer-Stroh, Tzer Pin Raymond Lin, Jimmy Loh, and School of Biological Sciences
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Microbiology (medical) ,medicine.medical_specialty ,Norovirus GI ,Military personnel ,Epidemiology ,media_common.quotation_subject ,Attack rate ,medicine.disease_cause ,lcsh:Infectious and parasitic diseases ,Hygiene ,medicine ,Humans ,lcsh:RC109-216 ,Disease outbreaks ,Phylogeny ,Caliciviridae Infections ,media_common ,Singapore ,business.industry ,Norovirus ,Outbreak ,General Medicine ,Acute gastroenteritis ,Science::Biological sciences::Microbiology::Bacteria [DRNTU] ,Virology ,Gastroenteritis ,Infectious Diseases ,Capsid Proteins ,business - Abstract
Background: Simultaneous acute gastroenteritis (AGE) outbreaks occurred at two military camps. This study details the epidemiological findings, explores possible origins, and discusses preventive measures. Methods: Investigations included attack rate surveys, symptom surveys, hygiene inspections, and the testing of water, food, and stool samples. DNA/RNA was extracted from stool samples and amplified via real-time reverse transcription PCR (RT-PCR). Partial and full-length capsid nucleotide sequences were obtained, phylogenetic relationships inferred, and homology modelling of antigenic sites performed. Results: The military outbreaks involved 775 persons and were preceded by two AGE outbreaks at restaurants in the local community. The outbreak was longer and larger in the bigger camp (21 days, attack rate 15.0%) than the smaller camp (6 days, attack rate 8.3%). Of 198 stool samples, norovirus GI.2 was detected in 32.5% (larger camp) and 28.6% (smaller camp). These were essentially identical to preceding community outbreaks. Antigenic site homology modelling also showed differences between identified and more common AGE outbreak strains (norovirus GII.4). Conclusion: Differences observed highlight difficulties in controlling person-to-person outbreaks among large groups in close proximity (e.g., military trainees). Distinct differences in antigenic sites may have contributed to increased immunological susceptibility of the soldiers to infection. Published version
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