TY - JOUR
T1 - Social, ethical and behavioural aspects of COVID-19
AU - Cheah, Phaik Yeong
AU - Pan-ngum, Wirichada
AU - Poomchaichote, Tassawan
AU - Cuman, Giulia
AU - Cheah, Phee Kheng
AU - Waithira, Naomi
AU - Mukaka, Mavuto
AU - Naemiratch, Bhensri
AU - Kulpijit, Natinee
AU - Chanviriyavuth, Rita
AU - Asarath, Supa at
AU - Ruangkajorn, Supanat
AU - Silan, Margherita
AU - Stoppa, Silvia
AU - Zuanna, Gianpiero Della
AU - Ongkili, Darlene
AU - Cheah, Phaik Kin
AU - Osterrieder, Anne
AU - Schneiders, Mira
AU - Mackworth-Young, Constance R.S.
N1 - Publisher Copyright:
© 2020 Pan-ngum W et al.
PY - 2020
Y1 - 2020
N2 - Introduction: Vaccines and drugs for the treatment and prevention of COVID-19 require robust evidence generated from clinical trials before they can be used. Decisions on how to apply non-pharmaceutical interventions such as quarantine, self-isolation, social distancing and travel restrictions should also be based on evidence. There are some experiential and mathematical modelling data for these interventions, but there is a lack of data on the social, ethical and behavioural aspects of these interventions in the literature. Therefore, our study aims to produce evidence to inform (non-pharmaceutical) interventions such as communications, quarantine, self-isolation, social distancing, travel restrictions and other public health measures for the COVID-19 pandemic. Methods: The study will be conducted in the United Kingdom, Italy, Malaysia, Slovenia and Thailand. We propose to conduct 600-1000 quantitative surveys and 25-35 qualitative interviews per country. Data collection will follow the following four themes: (1) Quarantine and self-isolation (2) social distancing and travel restrictions (3) wellbeing and mental health (4) information, misinformation and rumours. In light of limitations of travel and holding in-person meetings, we will primarily use online/remote methods for collecting data. Study participants will be adults who have provided informed consent from different demographic, socio-economic and risk groups. Discussion: At the time of the inception of the study, United Kingdom, Italy, Malaysia, Slovenia and Thailand have initiated strict public health measures and varying degrees of 'lockdowns'; to curb the pandemic. These public health measures will change in the coming weeks and months depending on the number of cases of COVID-19 in the respective countries. The data generated from our study could inform these strategies in real time.
AB - Introduction: Vaccines and drugs for the treatment and prevention of COVID-19 require robust evidence generated from clinical trials before they can be used. Decisions on how to apply non-pharmaceutical interventions such as quarantine, self-isolation, social distancing and travel restrictions should also be based on evidence. There are some experiential and mathematical modelling data for these interventions, but there is a lack of data on the social, ethical and behavioural aspects of these interventions in the literature. Therefore, our study aims to produce evidence to inform (non-pharmaceutical) interventions such as communications, quarantine, self-isolation, social distancing, travel restrictions and other public health measures for the COVID-19 pandemic. Methods: The study will be conducted in the United Kingdom, Italy, Malaysia, Slovenia and Thailand. We propose to conduct 600-1000 quantitative surveys and 25-35 qualitative interviews per country. Data collection will follow the following four themes: (1) Quarantine and self-isolation (2) social distancing and travel restrictions (3) wellbeing and mental health (4) information, misinformation and rumours. In light of limitations of travel and holding in-person meetings, we will primarily use online/remote methods for collecting data. Study participants will be adults who have provided informed consent from different demographic, socio-economic and risk groups. Discussion: At the time of the inception of the study, United Kingdom, Italy, Malaysia, Slovenia and Thailand have initiated strict public health measures and varying degrees of 'lockdowns'; to curb the pandemic. These public health measures will change in the coming weeks and months depending on the number of cases of COVID-19 in the respective countries. The data generated from our study could inform these strategies in real time.
KW - COVID-19
KW - Ethics
KW - Italy
KW - Malaysia
KW - Qualitative
KW - Social
KW - Thailand
KW - United Kingdom
UR - https://www.scopus.com/pages/publications/85088436613
U2 - 10.12688/wellcomeopenres.15813.2
DO - 10.12688/wellcomeopenres.15813.2
M3 - Article
AN - SCOPUS:85088436613
SN - 2398-502X
VL - 5
JO - Wellcome Open Research
JF - Wellcome Open Research
M1 - 90
ER -