Publications by authors named "Iek Long Lo"

Background: The staff working at day-care centers and nursing homes are in a key frontline for early detection of older people living with dementia, however, whether the staff were well prepared and if they were appropriately trained were still little known.

Method: A cross-sectional survey was conducted and the validated questionnaires exploring the awareness of dementia care, in terms of knowledge, attitude and preventive practice domain, were given to the staff working at day-care centers and nursing homes in Macao.

Results: 272 samples were approached and scores of knowledge was 76.

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Article Synopsis
  • COVID-19 has created significant health and financial challenges globally, prompting the recommendation of Chinese medicines like Lianhua Qingwen (LHQW) and Huoxiang Zhengqi (HXZQ) for non-high-risk patients in China, particularly in the context of a study conducted with quarantined patients in Macao during mid-2022.
  • The study included 976 patients and focused on collecting demographic data, vaccination history, and medication usage, and utilized various statistical methods to analyze potential correlations between these factors and the severity of COVID-19 symptoms.
  • Results indicated that specific demographics, including gender, employment in the service industry, physical activity levels, and dietary preferences, were associated with the prevalence of COVID-19 symptoms among
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Background And Aims: The evolving mutants of SARS-CoV-2 have made the COVID-19 pandemic sustained for over 3 years. In 2022, BA.4 and BA.

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Background: Very few instruments to integrate knowledge, attitude and practice into dementia care as a holistic perspective were available to the Chinese.

Method: This article documented the development of a 30-item self-administered Chinese instrument of knowledge, attitude and preventive practice on dementia care and reported the results of psychometric testing among 1500 Chinese in Macao Special Administrative Region (SAR), including 234 primary health professionals, 272 staff working at day-care centers and nursing homes, 586 high school students and 408 community-dwelling older people. The Chinese instrument was developed through literature review and committee review.

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During the pandemic of COVID-19, Macau faces tremendous pressure because it is a famous gambling and tourism city with the world's highest population density. The Macau government implemented decisive public health intervention to control the transmission of COVID-19, and there were only two independent outbreaks in Macau. In the second outbreak, all 35 cases were infected in foreign countries.

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Background: Novel coronavirus disease 2019 (COVID-19) has become a pandemic, and over 80 million cases and over 1.8 million deaths were reported in 2020. This highly contagious virus is spread primarily via respiratory droplets from face-to-face contact and contaminated surfaces as well as potential aerosol spread.

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Article Synopsis
  • - The study aimed to assess the knowledge, attitudes, and preventive practices regarding dementia care among high school students in Macao, using questionnaires distributed to 10 randomly selected schools.
  • - Results indicated that students scored an average of 56.27 for knowledge, 73.97 for attitude, and 68.34 for preventive practices, with female students showing significantly higher scores than male students.
  • - The findings suggest that many students lack adequate knowledge and appropriate practices for dementia care, highlighting the need for improved dementia education in high schools across Macao.
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Macao, a special administrative region (SAR) of the People's Republic of China, is located in southern China and shares the border with mainland China. It is the most densely populated region in the world, with a population of 667400 and a total land area of 32.9 square kilometers in 2019.

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Background: The novel coronavirus diseases 2019 (COVID-19) caused over 1.7 million confirmed cases and cumulative mortality up to over 110,000 deaths worldwide as of 14 April 2020. A total of 57 Macao citizens were obligated to stay in Hubei province, China, where the highest COVID-19 prevalence was noted in the country and a "lockdown" policy was implemented for outbreak control for more than one month.

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As a city famous for tourism, the public healthcare system of Macau SAR has been under great pressure during the outbreak of the Coronavirus Disease 2019 (COVID-19). In this study, we report clinical and microbiological features of ten COVID-19 patients enrolled in the Centro Hospitalar Conde de São Januário (CHCSJ) between January 21 to February 16, 2020. Clinical samples from all patients including nasopharyngeal swab (NPS)/sputum, urine, and feces were collected for serial virus RNA testing by standard qRT-PCR assay.

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This paper highlights the challenges and prospects of older people with dementia in Macao. Macao Dementia Policy was launched in 2016 as the 27th globally, aligned with World Health Organization Global Action Plan on the Public Health Response to Dementia 2017-2025, includes a 10-year strategic framework to establish dementia friendly communities across the region. Dementia Working Group, cognitive assessment network in Health Centers, Dementia Medical Center, and Dementia Support Center were established subsequently.

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Objective: Correlation analysis and multiple linear regression analysis were conducted to estimate the influence of meteorological factors on road traffic injuries stratified by severity. Crash rate was defined as mean monthly road traffic accidents per 1,000 vectors.

Design: Ecological time-series study.

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Asthma is a chronic respiratory disease featured with unpredictable flare-ups, for which continuous lung function monitoring is the key for symptoms control. To find new indices to individually classify severity and predict disease prognosis, continuous physiological data collected from monitoring devices is being studied from different perspectives. Entropy, as an analysis method for quantifying the inner irregularity of data, has been widely applied in physiological signals.

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Objectives: The inconsistent findings from genetic association studies may be related to the heterogeneity in different molecular subtypes of lung cancer. This study evaluated the predisposing single-nucleotide polymorphisms (SNPs) in epidermal growth factor receptor (EGFR) mutant and EGFR wild-type lung adenocarcinoma separately among never-smokers.

Materials And Methods: This was a two-stage case-control study.

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With the fast development of wearable medical device in recent years, it becomes critical to conduct research on continuously measured physiological signals. Entropy is a key metric for quantifying the irregularity and/or complexity contained in human physiological signals. In this review, we focus on exploring how entropy changes in various physiological signals in cardiovascular diseases.

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In this century, the rapid development of large data storage technologies, mobile network technology, and portable medical devices makes it possible to measure, record, store, and track analysis of large amount of data in human physiological signals. Entropy is a key metric for quantifying the irregularity contained in physiological signals. In this review, we focus on how entropy changes in various physiological signals in COPD.

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