Hong Kong Med J 2021 Aug;27(4):244–6 | Epub 16 Aug 2021
© Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
EDITORIAL
Scientific research on COVID-19 conducted in
Hong Kong in 2020
Harry HX Wang, PhD1,2; Ling Chen, MD3; Hanyue Ding, MPH2; Junjie Huang, MD2; Martin CS Wong, MD, MPH2,4
1 School of Public Health, Sun Yat-Sen University, Guangzhou, China
2 JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
3 Department of General Practice, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
4 Editor-in-Chief, Hong Kong Medical Journal
Corresponding author: Prof Martin CS Wong (wong_martin@cuhk.edu.hk)
Much research has been conducted into the
coronavirus disease 2019 (COVID-19) pandemic
internationally and regionally.1 2 3 4 Before the
pandemic became widespread, researchers in
Hong Kong have alerted health authorities to
initiate emergency measures.5 6 The accumulated
scientific evidence on COVID-19, including clinical
characteristics, transmission, risk factors, diagnostic
testing and screening, immune responses, treatment
and pharmaceutical prophylaxis, and vaccines has
greatly helped inform the infection prevention,
early recognition, rapid identification, and disease
control of COVID-19. Research attention paid to the
routine clinical management of chronic conditions
are of equal importance in the wider context of
the pandemic, given the dynamic links between
COVID-19 and underlying health conditions.7
In this issue of the Hong Kong Medical Journal,
Yee et al8 reviewed institutional data from all urology
centres in the government-run healthcare sector in
Hong Kong during the COVID-19 pandemic, to assess
the changes in urology practice and resident training.
Compared with a control period, the authors report
drastic reductions of 28.5% to 49.6% in the numbers
of operating sessions, clinic attendances, cystoscopy
sessions, prostate biopsies, and shockwave lithotripsy
sessions across all the centres reviewed. The number
of surgeries performed by residents was also reduced
dramatically during the pandemic. Key aspects
of urology practice have undergone substantial
changes, which resulted as a response to challenges
including shortages in frontline healthcare resources
such as personal protective equipment, or rigid
management of patient flow in hospitals. Similar
challenges were identified in primary care during
the early phase of the COVID-19 outbreak, as shown
in a cross-sectional study conducted among family
doctors affiliated with the Hong Kong College of
Family Physicians.9 In other specialist services
such as obstetrics and gynaecology practices,
restrictive measures intended to limit the spread of
COVID-19 resulted in an increased psychological
burden on pregnant women who experienced
cancellation of prenatal exercises, antenatal talks,
hospital tours, and postnatal classes.10 Local researchers also advocated the importance of
identifying and prioritising ‘time-sensitive’ patients
for assisted reproductive technology.11 From a clinical
perspective, the gap in clinical preparedness for
COVID-19 necessitates further frontline research to
develop risk triage protocols with optimal diagnostic
performance and a widely accepted ‘gold-standard’
cut-off level to inform guideline recommendations
and support clinical management decisions.12
Research conducted to explore the
epidemiological and clinical manifestations of
COVID-19 has substantially contributed to reducing
community spread of severe acute respiratory
syndrome coronavirus 2 in Hong Kong. A local
investigation using data retrieved from the Clinical
Management System of the Hospital Authority
demonstrated the successful role of the first public
COVID-19 temporary test centre in identifying
infected individuals in a large-scale high-turnover
setting.13 The volume and complexity of information
documented in electronic health records, including
clinical symptoms, imaging investigations, contact
history, nucleic acid testing and vaccination records,
has been growing exponentially to underpin
digital solutions that support efforts to limit the
spread of COVID-19. Big data analytics, artificial
intelligence, and machine learning techniques have
gained increasing prominence in generating reliable
evidence that can help measure personalised clinical
risk of severe illness and may potentially contribute
to regional and global forecasts.14 Such progress
will inevitably be accelerated by increasing uptake
of electronic health records and mobile apps in
mass data collection to support scientific research
and public health measures. Nevertheless, due
consideration in protecting personally identifiable
information and ensuring data privacy in the context
of COVID-19 is becoming a controversial but crucial
concern over individual-level data exchange and
sharing that deserves concomitant research.
Coping with COVID-19 requires simultaneous
inputs from and participation of different medical
disciplines. A local study conducted by radiologists
assessed the use of computed tomography (CT)
scanning of the thorax as a non-invasive imaging modality in exploring viral pneumonia patterns that
were commonly encountered in affected patients.15
This provides an opportunity to gain temporal
insights into the extent of lung involvement on CT
images and determine the accuracy of CT severity
scoring in clinical triage and the prediction of post-COVID outcomes. It is highly sensitive, accessible,
portable, and easy to operate,16 playing an important
role in identification of COVID-19.17 A group of
specialists in ophthalmology, anaesthesiology,
otorhinolaryngology, pathology and surgery,
together with other relevant stakeholders, have
formulated a risk stratification protocol with
structured workflow for emergency surgeries.18 It
bears a wider applicability to frontline healthcare
staff with regard to timely assessment and decision
making in the arrangement of emergency operations
across different disciplines. There have also been
suggestions to use chemoprophylaxis in adjunct with
health behaviours and social distancing measures,19
which could achieve a synergistic effect.20
Meanwhile, social distancing remains an important
strategy along with concurrent measures of infection
control, even for individuals who have completed
the vaccination course.21 A deeper understanding
of such dynamic interaction warrants extensive
research that bridges biostatistics and mathematical
modelling. In managing COVID-19, there will
continue to be a reliance on multidisciplinary clinical
work to optimise patient care, following guidelines
and recommendations that are both internationally
recognised and locally adaptable, given the
availability of resources and the changing severity
of the pandemic. High-quality evidence generated
from appropriately designed, well-planned, and
ethically approved studies are continuously needed.
Behavioural research conducted to understand
people’s behaviours and their linkage to knowledge,
beliefs, and concerns is a key step to shape the
messages on prevention measures delivered to target
population and thus enhance risk communications
and community engagement against the spread
of COVID-19.22 An example was illustrated in an
observational study published recently in the Hong
Kong Medical Journal, which assessed the public
views on face mask performance, reuse of surgical
mask, and health information source among
pedestrians in well-populated locations in Hong
Kong.23 The authors brought behavioural insights
into the issues of a high mask reuse rate during
the initial spread of COVID-19 and the popularity
of social media over government websites for
information seeking. Research drawing on valuable
perspectives from social science disciplines that
twin with the biomedical understanding of the
COVID-19 carries a great potential to inform the
planning of effective behavioural interventions, as
the containment of complex epidemics is as much behavioural as medical. A further step towards
empirical evidence on behaviour changes and
cultural factors can therefore support the pandemic
response through promoting risk and science
communication with the public to achieve optimal
compliance to infection prevention and control
measures.
The above examples, and others published
in the Hong Kong Medical Journal (https://www.
hkmj.org/COVID-19), are a small part of the huge
volume of research activities led by local researchers
in Hong Kong in response to the global pandemic
of COVID-19. Despite the rapid progress made,
many unknown but unique characteristics of severe
acute respiratory syndrome coronavirus 2 are yet to
be uncovered. Uncertainties remain on issues such
as the natural history of COVID-19, the impact of
viral changes over time, the long-term effectiveness
and safety of vaccines, and the cost-effectiveness of
different public health and social epidemic control
measures. Ongoing medical and translational
research is required that thinks globally and acts
locally, to investigate the epidemiological, clinical,
therapeutic, and service aspects of COVID-19
management, incorporating the latest advances in
virology, immunology, molecular microbiology, and
other disciplines of laboratory-based basic science.
Author contributions
All authors contributed to the concept or design; acquisition
of data; analysis or interpretation of data; drafting of the
article; and critical revision for important intellectual content.
All authors had full access to the data, contributed to the
study, approved the final version for publication, and take
responsibility for its accuracy and integrity.
Conflicts of interest
The authors have declared no conflict of interest.
References
1. Park JJ, Mogg R, Smith GE, et al. How COVID-19 has fundamentally changed clinical research in global health.
Lancet Glob Health 2021;9:e711-20. Crossref
2. Wong MC, Ng RW, Chong KC, et al. Stringent containment
measures without complete city lockdown to achieve low
incidence and mortality across two waves of COVID-19 in
Hong Kong. BMJ Glob Health 2020;5:e003573. Crossref
3. Huang J, Teoh JY, Wong SH, Wong MC. The potential
impact of previous exposure to SARS or MERS on control
of the COVID-19 pandemic. Eur J Epidemiol 2020;35:1099-103. Crossref
4. Wong SY, Tan DH, Zhang Y, et al. A tale of 3 Asian cities:
how is primary care responding to COVID-19 in Hong
Kong, Singapore, and Beijing. Ann Fam Med 2021;19:48-54. Crossref
5. Hon KL, Leung KK. Severe acute respiratory symptoms
and suspected SARS again 2020. Hong Kong Med J
2020;26:78-9. Crossref
6. To KK, Yuen KY. Responding to COVID-19 in Hong Kong. Hong Kong Med J 2020;26:164-6. Crossref
7. Clark A, Jit M, Warren-Gash C, et al. Global, regional, and
national estimates of the population at increased risk of
severe COVID-19 due to underlying health conditions in
2020: a modelling study. Lancet Glob Health 2020;8:e1003-17. Crossref
8. Yee CH, Wong HF, Tam MH, et al. Effect of SARS and COVID-19 outbreaks on urology practice and training.
Hong Kong Med J 2021 Feb 26. Epub ahead of print. Crossref
9. Yu EY, Leung WL, Wong SY, Liu KS, Wan EY; HKCFP
Executive and Research Committee. How are family
doctors serving the Hong Kong community during the
COVID-19 outbreak? A survey of HKCFP members. Hong
Kong Med J 2020;26:176-83. Crossref
10. Hui PW, Ma G, Seto MT, Cheung KW. Effect of COVID-19
on delivery plans and postnatal depression scores of
pregnant women. Hong Kong Med J 2021;27:113-7. Crossref
11. Lee WY, Mok A, Chung JP. Potential effects of COVID-19
on reproductive systems and fertility; assisted reproductive
technology guidelines and considerations: a review. Hong
Kong Med J 2021;27:118-26. Crossref
12. Knight SR, Ho A, Pius R, et al. Risk stratification of patients
admitted to hospital with covid-19 using the ISARIC WHO
Clinical Characterisation Protocol: development and
validation of the 4C Mortality Score. BMJ 2020;370:m3339. Crossref
13. Leung WL, Yu EL, Wong SC, et al. Findings from the first
public COVID-19 temporary test centre in Hong Kong.
Hong Kong Med J 2021;27:99-105. Crossref
14. Abd-Alrazaq A, Alajlani M, Alhuwail D, et al. Artificial intelligence in the fight against COVID-19: scoping review.
J Med Internet Res 2020;22:e20756. Crossref
15. Li SK, Ng FH, Ma KF, Luk WH, Lee YC, Yung KS. Patterns
of COVID-19 on computed tomography imaging. Hong
Kong Med J 2020;26:289-93. Crossref
16. Chan JC, Kwok KY, Ma JK, Wong YC. Radiology and COVID-19. Hong Kong Med J 2020;26:286-8. Crossref
17. Wong SY, Kwok KO. Role of computed tomography imaging in identifying COVID-19 cases. Hong Kong Med J
2020;26:167-8. Crossref
18. Wong DH, Tang EW, Njo A, et al. Risk stratification protocol to reduce consumption of personal protective
equipment for emergency surgeries during COVID-19
pandemic. Hong Kong Med J 2020;26:252-4. Crossref
19. Law SK, Leung AW, Xu C. Are face masks useful for limiting the spread of COVID-19? Hong Kong Med J 2020;26:267-8. Crossref
20. Hui KK. Povidone-iodine and carrageenan are candidates for SARS-CoV-2 infection control. Hong Kong Med J 2020;26:464. Crossref
21. Zee JS, Lai KT, Ho MK, et al. Serological response to
mRNA and inactivated COVID-19 vaccine in healthcare
workers in Hong Kong: preliminary results. Hong Kong
Med J 2021 Jun 24. Epub ahead of print. Crossref
22. Jalloh MF, Nur AA, Nur SA, et al. Behaviour adoption
approaches during public health emergencies: implications
for the COVID-19 pandemic and beyond. BMJ Glob Health
2021;6:e004450. Crossref
23. Tam VC, Tam SY, Khaw ML, Law HK, Chan CP, Lee SW.
Behavioural insights and attitudes on community masking
during the initial spread of COVID-19 in Hong Kong.
Hong Kong Med J 2021;27:106-12. Crossref