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Dive into the research topics where Elizabeth Ai-Sim Lim is active.

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Featured researches published by Elizabeth Ai-Sim Lim.


Journal of Clinical Virology | 2010

Viral agents responsible for febrile respiratory illnesses among military recruits training in tropical Singapore

Shirley Gek-Kheng Seah; Elizabeth Ai-Sim Lim; Seng Kok-Yong; Jasper Chin-Wen Liaw; Vernon J. Lee; Peter Kammerer; David Metzgar; Kevin L. Russell; Boon Huan Tan

Abstract Background Military personnel are highly susceptible to febrile respiratory illnesses (FRI), likely due to crowding, stress and other risk factors present in the military environment. Objective Our objective was to investigate the viral etiological agents responsible for FRI among military recruits training in a tropical climate in Singapore. Study design From March 2006 through April 2007, a total of 1354 oropharyngeal (throat) swabs were collected from military recruits who reported sick with an oral temperature of ≥38°C and a cough and/or sore throat. Real-time polymerase chain reaction (PCR) was used to assay for the presence of influenza A and B viruses and adenoviruses (H-AdV), and conventional PCR used for the remaining respiratory viruses in all specimens. Results Influenza A virus was the dominant infection with a laboratory-confirmed incidence of 24% (326/1354) and a predominance of the H3N2 subtype. The temporal pattern for influenza A virus infections coincided with the nation-wide pattern in the civilian community. Detection rates of 12% (159/1354) and 2.7% (5/1354) were obtained for influenza B virus and other respiratory viruses, respectively. Conclusions The laboratory findings identified influenza A virus as the primary causative viral agent for FRI in the Singapore military, in strong contrast to findings from temperate countries and countries where recruits are often vaccinated for influenza. Our results suggest that influenza vaccination should be considered as a requirement to reduce the incidence of influenza infections. This is the first report describing respiratory infections in a tropical military setting, in a developed country in Asia.


Journal of Medical Virology | 2009

The incidence of human bocavirus infection among children admitted to hospital in Singapore

Boon Huan Tan; Elizabeth Ai-Sim Lim; Shirley Gek-Kheng Seah; Liat-Hui Loo; Tee Nw; Raymond T.P. Lin; Richard J. Sugrue

Human bocavirus (HBoV) is a parvovirus, belonging to the genus Bocavirus. The virus was identified recently in Sweden, and has now been detected in several different countries. Although it is associated with lower respiratory tract infections in pediatric patients, the incidence of HBoV infection in a developed country in South East Asia, has not been examined. The objective of this study was to determine the importance of HBoV as a cause of lower respiratory tract infections among children admitted to hospital in Singapore. Five hundred nasopharyngeal swabs were collected from anonymized pediatric patients admitted to the Kandang Kerbau Womens and Childrens Hospital for acute respiratory infections. The specimens were tested for the presence of HBoV using polymerase chain reactions. HBoV was detected in 8.0% of the patients tested, and a majority of these HBoV patients exhibited lower respiratory tract infections. A significant level of coinfection with respiratory syncytial viruses and rhinoviruses was also observed in these HBoV patients. The data suggest that HBoV is an important cause of lower respiratory tract infections among children admitted to hospital in Singapore, and is the first study examining the incidence of HBoV infection in a developed country in South East Asia. J. Med. Virol. 81:82–89, 2009.


PLOS ONE | 2011

A Clinical Diagnostic Model for Predicting Influenza among Young Adult Military Personnel with Febrile Respiratory Illness in Singapore

Vernon J. Lee; Jonathan Yap; Alex R. Cook; Chi Hsien Tan; Jin-Phang Loh; W.H.V. Koh; Elizabeth Ai-Sim Lim; Jasper Chin-Wen Liaw; Janet S. W. Chew; Iqbal Hossain; Ka Wei Chan; Pei-Jun Ting; Sock-Hoon Ng; Qiuhan Gao; Paul Kelly; Mark I. Chen; Paul A. Tambyah; Boon Huan Tan

Introduction Influenza infections present with wide-ranging clinical features. We aim to compare the differences in presentation between influenza and non-influenza cases among those with febrile respiratory illness (FRI) to determine predictors of influenza infection. Methods Personnel with FRI (defined as fever≥37.5°C, with cough or sore throat) were recruited from the sentinel surveillance system in the Singapore military. Nasal washes were collected, and tested using the Resplex II and additional PCR assays for etiological determination. Interviewer-administered questionnaires collected information on patient demographics and clinical features. Univariate comparison of the various parameters was conducted, with statistically significant parameters entered into a multivariate logistic regression model. The final multivariate model for influenza versus non-influenza cases was used to build a predictive probability clinical diagnostic model. Results 821 out of 2858 subjects recruited from 11 May 2009 to 25 Jun 2010 had influenza, of which 434 (52.9%) had 2009 influenza A (H1N1), 58 (7.1%) seasonal influenza A (H3N2) and 269 (32.8%) influenza B. Influenza-positive cases were significantly more likely to present with running nose, chills and rigors, ocular symptoms and higher temperature, and less likely with sore throat, photophobia, injected pharynx, and nausea/vomiting. Our clinical diagnostic model had a sensitivity of 65% (95% CI: 58%, 72%), specificity of 69% (95% CI: 62%, 75%), and overall accuracy of 68% (95% CI: 64%, 71%), performing significantly better than conventional influenza-like illness (ILI) criteria. Conclusions Use of a clinical diagnostic model may help predict influenza better than the conventional ILI definition among young adults with FRI.


Expert Review of Molecular Diagnostics | 2004

Diagnostic value of real-time capillary thermal cycler in virus detection

Boon Huan Tan; Elizabeth Ai-Sim Lim; Jasper Chin-Wen Liaw; Shirley Gek-Kheng Seah; Eric Peng-Huat Yap

Molecular-based detection methods such as PCR techniques have had a significant impact on the diagnosis of viral infections because of their superior sensitivity and rapid turnaround time. This review describes the use of real-time PCR on the capillary thermal cycler, the Roche LightCycler™, for early disease detection in diagnostic virology. The advantages of using the LightCycler, the detection processes using SYBR® Green I and different hybridization strategies will be discussed in detail, with specific examples drawn from our in-house viral assays. The use of the LightCycler for the investigation of two recent viral outbreaks in Singapore will also be briefly described.


Emerging Infectious Diseases | 2009

Human Rhinovirus Group C in Hospitalized Children, Singapore

Boon Huan Tan; Liat-Hui Loo; Elizabeth Ai-Sim Lim; Shirley Lay-Kheng Seah; Raymond T.P. Lin; Tee Nw; Richard J. Sugrue

To the Editor: Human rhinovirus (HRV) is a common etiologic agent of upper respiratory tract infections and is associated with symptoms such as asthma and wheezing. HRV has >100 serotypes, and recently, several groups reported a new HRV group C (HRV-C) in children that is associated with more severe respiratory infections (1–5). We examined the incidence of respiratory viruses in children hospitalized in Kandang Kerbau Women’s and Children’s Hospital, Singapore (6,7). These studies also identified human metapneumovirus and human bocavirus (HBoV) among children in Singapore. We recently performed a retrospective study by using PCR-based testing (8) to identify HRV, in particular HRV-C, in these patients. From October 2005 through March 2007, a total of 500 nasopharyngeal swab specimens from pediatric patients (age range 1 month through 12 years) were collected and tested for HRVs.


Veterinary Microbiology | 2008

Detection of porcine circovirus type 2 in pigs imported from Indonesia

Gayathri Manokaran; Yueh-Nuo Lin; Moi-Lien Soh; Elizabeth Ai-Sim Lim; Chee-Wee Lim; Boon Huan Tan

We have detected the presence of porcine circovirus (PCV) type 2 in Indonesian pigs imported to Singapore for food consumption. A total of three viral isolates were identified, and to genetically characterise them further, their full genomes were sequenced. Each genome showed a typical organization of PCV type 2, with the three isolates sharing similar genome lengths of 1767 nucleotide (nt) at high nt identities of 99.8-100%, further indicating that the viral isolates were quite homogeneous. Sequence analysis further revealed that the ORF2 genes contain the nt sequence CCCCGC (from nt position 262 to 267) that was previously reported to be associated with PCV type 2, group 1C. The phylogenetic tree was constructed for the ORF2 genes, and the PCV type 2 isolates distributed into two distinctive groups. The Indonesian PCV type 2 clustered tightly with one China isolate, accession number AY035820, as a sub-cluster in group 1C. The sequence and phylogenetic analyses both confirmed that the three Indonesian PCV type 2 isolates belong to group 1C, and that the genetic changes for the three Indonesian isolates were very stable, possibly due to the low-scale evolution.


Veterinary Microbiology | 2009

Molecular characterization of low pathogenic avian influenza viruses, isolated from food products imported into Singapore

Dawn Su-Yin Yeo; Sock-Hoon Ng; Chin-Wen Liaw; Ley-Moy Ng; Eugene Jing-Hui Wee; Elizabeth Ai-Sim Lim; Shirely Lay-Kheng Seah; Wai-Kwan Wong; Chee-Wee Lim; Richard J. Sugrue; Boon Huan Tan

Abstract We have completed the genetic characterization of all eight gene segments for four low pathogenic avian influenza (LPAI) viruses. The objective of this study was to detect the presence of novel signatures that may serve as early warning indicators of the conversion of LPAI viruses to high pathogenic avian influenza (HPAI) viruses. This study included three H5N2 and one H5N3 viruses that were isolated from live poultry imported into Singapore as part of the national avian influenza virus (AIV) surveillance program. Based on the molecular criterion of the World Organisation for Animal Health (OIE), sequence analysis with the translated amino acid (aa) sequence of the hemagglutinin (HA) gene revealed the absence of multibasic aa at the HA cleavage site, identifying all four virus isolates as LPAI. Detailed phylogenetic tree analyses using the HA and neuraminidase (NA) genes clustered these isolates in the Eurasian H5 lineage, but away from the HPAI H5 subtypes. This analysis further revealed that the internal genes clustered to different avian and swine subtypes, suggesting that the four isolates may possibly share their ancestry with these different influenza subtypes. Our results suggest that the four LPAI isolates in this study contained mainly avian signatures, and the phylogenetic tree for the internal genes further suggests the potential for reassortment with other different circulating avian subtypes. This is the first comprehensive report on the genetic characterization of LPAI H5N2/3 viruses isolated in South-East Asia.


PLOS ONE | 2014

Prospective Surveillance and Molecular Characterization of Seasonal Influenza in a University Cohort in Singapore

Ramandeep Kaur Virk; Paul Anantharajah Tambyah; Masafumi Inoue; Elizabeth Ai-Sim Lim; Ka-Wei Chan; Catherine Chua; Boon-Huan Tan

Background Southeast Asia is believed to be a potential locus for the emergence of novel influenza strains, and therefore accurate sentinel surveillance in the region is critical. Limited information exists on sentinel surveillance of influenza-like illness (ILI) in young adults in Singapore in a University campus setting. The objective of the present study was to determine the proportion of ILI caused by influenza A and B viruses in a university cohort in Singapore. Methodology/Principal Findings We conducted a prospective surveillance study from May through October 2007, at the National University of Singapore (NUS). Basic demographic information and nasopharyngeal swabs were collected from students and staff with ILI. Reverse-transcriptase PCR (RT-PCR) and viral isolation were employed to detect influenza viruses. Sequencing of hemagglutinin (HA) and neuraminidase (NA) genes of some representative isolates was also performed. Overall proportions of influenza A and B virus infections were 47/266 (18%) and 9/266 (3%) respectively. The predominant subtype was A/H3N2 (55%) and the rest were A/H1N1 (45%). The overall sensitivity difference for detection of influenza A viruses using RT-PCR and viral isolation was 53%. Phylogenetic analyses of HA and NA gene sequences of Singapore strains showed identities higher than 98% within both the genes. The strains were more similar to strains included in the WHO vaccine recommendation for the following year (2008). Genetic markers of oseltamivir resistance were not detected in any of the sequenced Singapore isolates. Conclusions/Significance HA and NA gene sequences of Singapore strains were similar to vaccine strains for the upcoming influenza season. No drug resistance was found. Sentinel surveillance on university campuses should make use of molecular methods to better detect emerging and re-emerging influenza viral threats.


PLOS ONE | 2015

Surveillance and clinical characterization of influenza in a university cohort in Singapore.

Aidan Lyanzhiang Tan; Ramandeep Kaur Virk; Paul Anantharajah Tambyah; Masafumi Inoue; Elizabeth Ai-Sim Lim; Ka-Wei Chan; C. Senthamarai Chelvi; Say-Tat Ooi; Catherine Chua; Boon-Huan Tan

Background Southeast Asia is a potential locus for the emergence of novel influenza strains. However, information on influenza within the region is limited. Objectives This study was to determine the proportion of influenza-like illness (ILI) caused by influenza A and B viruses in a university cohort in Singapore, identify important distinctive clinical features of influenza infection and potential factors associated with influenza infection compared with other causes of ILI. Methodology A surveillance study was conducted from 2007 to 2009, at the University Health and Wellness Centre, National University of Singapore (NUS). Basic demographic information and nasopharyngeal swabs were collected from consenting students and staff with ILI, with Influenza A and B identified by both culture and molecular methods. Results Proportions of influenza A and B virus infections in subjects with ILI were 153/500 (30.6%) and 11/500 (2.2%) respectively. The predominant subtype was A/H1N1, including both the seasonal strain (20/153) and the pandemic strain (72/153). The clinical symptom of fever was more common in subjects with laboratory confirmed influenza than other ILIs. On-campus hostel residence and being a student (compared with staff) were associated with increased risk of laboratory confirmed influenza A/H1N1 2009 infection. Conclusions This study provides a baseline prevalence of influenza infection within young adults in Singapore in a university setting. Potential risk factors, such as hostel residence, were identified, allowing for more targeted infection control measures in the event of a future influenza pandemic.


Influenza and Other Respiratory Viruses | 2016

Genetic characterisation of influenza C viruses detected in Singapore in 2006.

Pei-Jun Ting; Shirley Gek-Kheng Seah; Elizabeth Ai-Sim Lim; Jasper Chin-Wen Liaw; Tan Boon-Huan

In an earlier study on respiratory infections in Singapore military recruits, four influenza C virus (FLUCV) infections were detected out of the 1354 samples collected. All four isolates were detected in 2006, and their whole genome was completely sequenced and analysed. Phylogenetic analysis of the hemagglutinin esterase fusion (HEF) gene revealed that all four Singapore isolates belonged to the C/Japan‐Kanagawa/1/76‐related lineage. However, the genes of the four FLUCV isolates had origins from several different lineages, and the genome composition resembles that of the C/Japan‐Miyagi/9/96‐like strains that had been circulating in Japan between 1996 and 2000.

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Dive into the Elizabeth Ai-Sim Lim's collaboration.

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Boon Huan Tan

DSO National Laboratories

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Boon-Huan Tan

National University of Singapore

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Richard J. Sugrue

Nanyang Technological University

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Catherine Chua

National University of Singapore

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Dawn Su-Yin Yeo

DSO National Laboratories

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Ka-Wei Chan

DSO National Laboratories

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Liat-Hui Loo

Nanyang Technological University

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