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Article ; Online: The knowledge, attitudes and practices of hand, foot, and mouth disease prevention strategies amongst parents and educators of children under 5 years amidst COVID-19 pandemic: A cross-sectional study.

Wang, Min Xian / Pang, Junxiong

2022 Volume 10, Page(s) 908004

Abstract: Background: Hand, foot, and mouth disease (HFMD) is endemic in Singapore. Prevention efforts have been ramped up since major outbreaks in the early 2000's. This study aims to assess the current knowledge, and attitudes towards and practise (KAP) levels ... ...

Abstract	Background: Hand, foot, and mouth disease (HFMD) is endemic in Singapore. Prevention efforts have been ramped up since major outbreaks in the early 2000's. This study aims to assess the current knowledge, and attitudes towards and practise (KAP) levels of HFMD prevention strategies (HFMD-PS) amongst parents and teachers of children under 5 years amidst the COVID-19 pandemic. Methods and results: A convenience sample of 240 teachers and 404 parents responded to a self-administered standardised questionnaire between mid-October and December 2020. A scoring framework was used to assess responses in the 'knowledge', 'attitude', and 'practice' domains. A multivariable analysis was adjusted for ethnicity and attitudes towards getting children to follow proper handwashing steps and regularly disinfecting children's toys amongst parents, knowledge about HFMD's infectious period, and the responses to a child turning symptomatic in the childcare centre amongst teachers. Existing levels of knowledge and attitudes of parents and teachers were not high, and only a small proportion practised high levels of prevention measures (99 parents and 28 teachers). Key facilitators for a higher practise level in parents include the following: (1) awareness of regular liquid soap's efficacy as a disinfectant, (2) toy cleaning before and after playtime, and (3) the cleaning agent used for this practise. Teachers had no significant factors associated with higher practise levels. Conclusion: This study suggested potential gaps between positive knowledge and attitudes towards prevention strategies and their actual adoption levels in homes and childcare centres during COVID-19 pandemic. These evidences suggest the importance of continuous promotion of HFMD prevention practise in homes and childcare centres, even amidst pandemics.
MeSH term(s)	Child ; Humans ; Child, Preschool ; Hand, Foot and Mouth Disease/prevention & control ; Cross-Sectional Studies ; Pandemics ; Health Knowledge, Attitudes, Practice ; COVID-19/prevention & control ; Parents
Language	English
Publishing date	2022-10-17
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2022.908004
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Editorial: Vector-borne diseases and consequences on human health: a multidisciplinary approach.

Tabbabi, Ahmed / Vasconcelos Dos Santos, Thiago / Bekhti, Khadija / Haouas, Najoua / Junxiong, Pang / Garcia-Bereguiain, Miguel Angel

Frontiers in public health

2023 Volume 11, Page(s) 1326243

MeSH term(s)	Animals ; Humans ; Disease Vectors ; Vector Borne Diseases
Language	English
Publishing date	2023-11-13
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1326243
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Article ; Online: Factors of COVID-19 Vaccine Perception among Transport Drivers in Singapore: A Cross-Sectional Pilot Study.

Huizi Lim, Evelyn / Fong, Ngan Phoon / Pang, Junxiong

The American journal of tropical medicine and hygiene

2023 Volume 108, Issue 3, Page(s) 588–591

Abstract: Transport drivers have high risk of exposure to SARS-CoV-2 during COVID-19 pandemic. Vaccines can reduce disease severity. However, COVID-19 vaccine perception among transport drivers is unknown. To identify the key factors influencing vaccine perception ...

Abstract	Transport drivers have high risk of exposure to SARS-CoV-2 during COVID-19 pandemic. Vaccines can reduce disease severity. However, COVID-19 vaccine perception among transport drivers is unknown. To identify the key factors influencing vaccine perception of transport drivers in Singapore, a cross-sectional pilot study was conducted. One hundred four completed survey responses were collected between September 2021 and February 2022. Using multivariable logistic regression, education, general vaccine knowledge and attitude, practice of social distancing, misinformation of rare vaccine side effects, and perceiving the pandemic situation to be severe were independently associated with vaccine perception. Despite high vaccination coverage, there were substantial poor vaccine perception, vaccine hesitancy, and unwillingness to take third dose. Vaccination rate may thus not be an accurate reflection of true vaccine acceptance. Communication strategies need to focus on correcting knowledge gaps, instilling collectivist attitudes, and highlighting the importance of vaccination over social distancing to enhance booster uptake rate.
MeSH term(s)	Humans ; COVID-19 Vaccines ; Pilot Projects ; Singapore ; COVID-19 ; Cross-Sectional Studies ; Pandemics ; SARS-CoV-2 ; Vaccination ; Perception
Chemical Substances	COVID-19 Vaccines
Language	English
Publishing date	2023-02-06
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2942-7
ISSN	1476-1645 ; 0002-9637
ISSN (online)	1476-1645
ISSN	0002-9637
DOI	10.4269/ajtmh.22-0510
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Article ; Online: SARS-CoV-2 Transmission in the Military during the Early Phase of the Pandemic-A Systematic Analysis.

Gwee, Sylvia Xiao Wei / Chua, Pearleen Ee Yong / Pang, Junxiong

International journal of environmental research and public health

2022 Volume 19, Issue 12

Abstract: Militaries worldwide have been affected by COVID-19 pandemic. However, the impact and epidemiological characteristics of transmission during the early phase of the pandemic is not well-studied. This study aims to systematically estimate the baseline ... ...

Abstract	Militaries worldwide have been affected by COVID-19 pandemic. However, the impact and epidemiological characteristics of transmission during the early phase of the pandemic is not well-studied. This study aims to systematically estimate the baseline incidence of COVID-19 in the military worldwide and identify the potential risk factors of transmission and clinical characteristics of the cases. English and Chinese literature reporting COVID-19 cases in military worldwide published on four electronic databases (
MeSH term(s)	COVID-19/epidemiology ; Hospitalization ; Humans ; Military Personnel ; Pandemics ; SARS-CoV-2
Language	English
Publishing date	2022-06-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph19127418
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Article: Modelling effectiveness of COVID-19 pandemic control policies using an Area-based SEIR model with consideration of infection during interzonal travel.

Liu, Jielun / Ong, Ghim Ping / Pang, Vincent Junxiong

Transportation research. Part A, Policy and practice

2022 Volume 161, Page(s) 25–47

Abstract: This paper studies the effectiveness of several pandemic restriction measures adopted in Singapore during the COVID-19 outbreak. To this end, the classical Susceptible-Exposed-Infectious-Recovered (SEIR) model widely used to describe the dynamic process ... ...

Abstract	This paper studies the effectiveness of several pandemic restriction measures adopted in Singapore during the COVID-19 outbreak. To this end, the classical Susceptible-Exposed-Infectious-Recovered (SEIR) model widely used to describe the dynamic process of epidemic propagation is extended to an area-based SEIR model with the consideration of exposure to infections during commute and quarantine. The proposed model considers infections within areas and infections occurred during the commute of individuals. A case study of the Singapore MRT system is presented to show the effectiveness of pandemic restriction policies implemented in Singapore, namely social distancing, work shift and Circuit Breaker (CB) and phase advisories. A long-term investigation of COVID-19 pandemic in Singapore is performed, and the disease transmission dynamics in 2020-2021 (which covers the first wave and second wave of COVID-19 pandemic in Singapore) is modelled.
Language	English
Publishing date	2022-05-17
Publishing country	England
Document type	Journal Article
ZDB-ID	2015887-7
ISSN	0965-8564 ; 0191-2607
ISSN	0965-8564 ; 0191-2607
DOI	10.1016/j.tra.2022.05.003
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Article ; Online: A novel bidirectional LSTM deep learning approach for COVID-19 forecasting.

Aung, Nway Nway / Pang, Junxiong / Chua, Matthew Chin Heng / Tan, Hui Xing

Scientific reports

2023 Volume 13, Issue 1, Page(s) 17953

Abstract: COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pandemic. ...

Abstract	COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pandemic. Various time-dependent factors including the number of daily confirmed cases, reproduction number, policy measures, mobility and flight numbers were collected. A deep-learning model using Bidirectional Long-Short Term Memory (Bi-LSTM) architecture was trained on data from 22nd Jan 2020 to 8 Jan 2021 to forecast the new daily number of COVID-19 cases 14 days in advance across 190 countries, from 9 to 31 Jan 2021. A second model with fewer variables but similar architecture was developed. Results were summarised by mean absolute error (MAE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and total absolute percentage error and compared against results from a classical ARIMA model. Median MAE was 157 daily cases (IQR: 26-666) under the first model, and 150 (IQR: 26-716) under the second. Countries with more accurate forecasts had more daily cases and experienced more waves of COVID-19 infections. Among countries with over 10,000 cases over the prediction period, median total absolute percentage error was 33% (IQR: 18-59%) and 34% (IQR: 16-66%) for the first and second models respectively. Both models had comparable median total absolute percentage errors but lower maximum total absolute percentage errors as compared to the classical ARIMA model. A deep-learning approach using Bi-LSTM architecture and open-source data was validated on 190 countries to forecast the daily number of cases in the early stages of the COVID-19 outbreak. Fewer variables could potentially be used without impacting prediction accuracy.
MeSH term(s)	Humans ; COVID-19/epidemiology ; Deep Learning ; Disease Outbreaks ; Levonorgestrel ; Memory, Long-Term ; Forecasting
Chemical Substances	Levonorgestrel (5W7SIA7YZW)
Language	English
Publishing date	2023-10-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-44924-8
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Article ; Online: Weather Factors Associated with Reduced Risk of Dengue Transmission in an Urbanized Tropical City

Hao Gui / Sylvia Gwee / Jiayun Koh / Junxiong Pang

International Journal of Environmental Research and Public Health, Vol 19, Iss 339, p

2022 Volume 339

Abstract: This study assessed the impact of weather factors, including novel predictors—pollutant standards index (PSI) and wind speed—on dengue incidence in Singapore between 2012 and 2019. Autoregressive integrated moving average (ARIMA) model was fitted to ... ...

Abstract	This study assessed the impact of weather factors, including novel predictors—pollutant standards index (PSI) and wind speed—on dengue incidence in Singapore between 2012 and 2019. Autoregressive integrated moving average (ARIMA) model was fitted to explore the autocorrelation in time series and quasi-Poisson model with a distributed lag non-linear term (DLNM) was set up to assess any non-linear association between climatic factors and dengue incidence. In DLNM, a PSI level of up to 111 was positively associated with dengue incidence; incidence reduced as PSI level increased to 160. A slight rainfall increase of up to 7 mm per week gave rise to higher dengue risk. On the contrary, heavier rainfall was protective against dengue. An increase in mean temperature under around 28.0 °C corresponded with increased dengue cases whereas the association became negative beyond 28.0 °C; the minimum temperature was significantly positively associated with dengue incidence at around 23–25 °C, and the relationship reversed when temperature exceed 27 °C. An overall positive association, albeit insignificant, was observed between maximum temperature and dengue incidence. Wind speed was associated with decreasing relative risk (RR). Beyond prevailing conclusions on temperature, this study observed that extremely poor air quality, high wind speed, minimum temperature ≥27 °C, and rainfall volume beyond 12 mm per week reduced the risk of dengue transmission in an urbanized tropical environment.
Keywords	dengue ; air quality ; wind speed ; temperature ; rainfall ; Medicine ; R
Subject code	551
Language	English
Publishing date	2022-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Risk Factors of Septic Metastatic Infection among Patients with Klebsiella pneumoniae Liver Abscess in Singapore: A Case-Control Study.

Mukherjee, Shilpa / Archuleta, Sophia / Pang, Junxiong

The American journal of tropical medicine and hygiene

2022 Volume 106, Issue 3, Page(s) 805–808

Abstract: Metastatic infection resulting from Klebsiella pneumoniae liver abscess (KPLA) results in high mortality and morbidity. This study aimed to determine the risk factors associated with metastatic infection among patients with KPLA in Singapore. A ... ...

Abstract	Metastatic infection resulting from Klebsiella pneumoniae liver abscess (KPLA) results in high mortality and morbidity. This study aimed to determine the risk factors associated with metastatic infection among patients with KPLA in Singapore. A retrospective case-control analysis among adult patients admitted to the National University Hospital with KPLA between 2013 and 2017 was conducted. Univariate and multivariate regression analysis was conducted. Of the 116 KPLA patients, 38.8% had pulmonary metastatic infection. Length of hospital stay (P = 0.001) and intensive care unit admissions (P = 0.044) were significantly longer and greater, respectively, among the patients with metastatic infection. Sepsis-induced hypotension (adjusted odds ratio [AOR], 4.88; 95% CI, 1.1-21.69), breathlessness (AOR, 5.10; 95% CI, 1.42-18.27), and abscess size (AOR, 1.02; 95% CI, 1.01-1.03) were associated independently with septic metastatic infection. Patients with KPLA who had breathlessness and larger abscess size are at a greater risk of septic metastatic infection.
MeSH term(s)	Adult ; Case-Control Studies ; Dyspnea ; Humans ; Klebsiella Infections/complications ; Klebsiella Infections/epidemiology ; Klebsiella pneumoniae ; Liver Abscess/epidemiology ; Retrospective Studies ; Risk Factors ; Singapore/epidemiology
Language	English
Publishing date	2022-01-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	2942-7
ISSN	1476-1645 ; 0002-9637
ISSN (online)	1476-1645
ISSN	0002-9637
DOI	10.4269/ajtmh.21-0623
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Article ; Online: Knowledge, attitudes and practices of dengue prevention between dengue sustained hotspots and non-sustained hotspots in Singapore

Jeth WeiQuan Chng / Tamilsalvan Parvathi / Junxiong Pang

Scientific Reports, Vol 12, Iss 1, Pp 1-

a cross-sectional study

2022 Volume 10

Abstract: Abstract Dengue sustained hotspots (SHS) have resulted in a significant public health burden. In our study, we aimed to (1) compare knowledge, attitudes and practices (KAP) scores between SHS and non-sustained hotspots (NSHS); and (2) identify and ... ...

Abstract	Abstract Dengue sustained hotspots (SHS) have resulted in a significant public health burden. In our study, we aimed to (1) compare knowledge, attitudes and practices (KAP) scores between SHS and non-sustained hotspots (NSHS); and (2) identify and describe gaps and factors associated with KAP of dengue prevention among SHS residents residing in Singapore. A cross-sectional study with convenience sampling was conducted using digital survey in randomly selected SHS and NSHS residential areas, consisting of residents aged 21 or older and who had been residing in their existing housing unit in 2019 and 2020. Chi-square test and T-test were used for comparison analysis of categorical and continuous variables, respectively. A total of 466 respondents completed the self-administered, anonymous survey. There were no significant difference in mean scores for Knowledge [SHS(24.66) vs. NSHS(24.37); P: 0.18], Attitudes [SHS(10.38) vs NSHS(10.16); P: 0.08] and Practices [SHS(9.27) vs NSHS(8.80); P: 0.16] sections. Significant SHS-associated factors identified were age group 41–50 years old [95%CI: 1.25–5.03], Malay (95%CI: 0.17–0.98), up to secondary school education (95%CI: 0.07–0.65), private condominium (95%CI: 1.17–3.39), residing in same household unit for 2–5 years (95%CI: 2.44–6.88), respondents who know that mosquito can breed in open container with stagnant water (95%CI: 0.06–0.98), disagree that reducing Aedes mosquitoes is the only way to prevent dengue: (95%CI: 1.19–3.00) and go to clinic/hospital even without severe symptoms: (95%CI: 0.39–0.95). These independent factors associated with dengue sustained hotspots may influence the risk of dengue transmission in residential areas.
Keywords	Medicine ; R ; Science ; Q
Subject code	310
Language	English
Publishing date	2022-11-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Clinical signs and symptoms associated with WHO severe dengue classification: a systematic review and meta-analysis.

Htun, Tha Pyai / Xiong, Zhonghui / Pang, Junxiong

Emerging microbes & infections

2021 Volume 10, Issue 1, Page(s) 1116–1128

Abstract: ... ...

Abstract	ABSTRACT
MeSH term(s)	Comorbidity ; Female ; Humans ; Male ; Odds Ratio ; Risk Factors ; Severe Dengue/classification ; Severe Dengue/pathology ; World Health Organization
Language	English
Publishing date	2021-05-26
Publishing country	United States
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ZDB-ID	2681359-2
ISSN	2222-1751 ; 2222-1751
ISSN (online)	2222-1751
ISSN	2222-1751
DOI	10.1080/22221751.2021.1935327
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