Understanding the Slow COVID-19 Trajectory of Cambodia

Nit, Buntongyi; Samy, Alexander Lourdes; Tan, Shu Leed; Vory, Sopanha; Lim, Youhok; Nugraha, Ryan Rachmad; Xu, Lin; Ahmadi, Attaullah; Lucero‐Prisno, Don Eliseo

doi:10.1016/j.puhip.2020.100073

Cited by 27 publications

(28 citation statements)

References 3 publications

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“…[20,21] However, other LMIC in South East Asia, such as Myanmar, show a significantly lower mortality rate with only 0.6% thanks to an overall better management strategy for COVID-19 prevention and management. [22] Nit et al [23] stated only 302 confirmed cases of COVID-19 with no death in Cambodia, another LMIC country in South East Asia with limited health resources. In part, the presence of DM and other cardiometabolic risk factors at a younger age might play a role.…”

Section: Discussionmentioning

confidence: 99%

Impact of diabetes mellitus on COVID-19 clinical symptoms and mortality: Jakarta’s COVID-19 epidemiological registry

Harbuwono

Handayani

Wahyuningsih

et al. 2022

Primary Care Diabetes

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Section: Discussionmentioning

confidence: 99%

Impact of diabetes mellitus on COVID-19 clinical symptoms and mortality: Jakarta’s COVID-19 epidemiological registry

Harbuwono

Handayani

Wahyuningsih

et al. 2022

Primary Care Diabetes

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“…The countries could also have been discouraging their people from testing and hiding the reported cases. Prior experience with infectious diseases outbreaks could have facilitated timely and aggressive response in implementing crucial suppressing COVID-19 measures [30,31].…”

Section: Discussionmentioning

confidence: 99%

“…Learning from past infectious pandemics had prepared most of the southeastern Asian countries well. Despite being resource-constrained and having weak health care systems, most of the Southeast Asian countries have unexpectedly attained low COVID-19 infections, partly due to the experience from previous epidemics such as severe acute respiratory syndrome (SARS) and influenza A virus (N1H1) [30,31].…”

Section: Introductionmentioning

confidence: 99%

A Spatial Analysis of COVID-19 in African Countries: Evaluating the Effects of Socio-Economic Vulnerabilities and Neighbouring

Manda

Darikwa

Nkwenika

et al. 2021

IJERPH

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The ongoing highly contagious coronavirus disease 2019 (COVID-19) pandemic, which started in Wuhan, China, in December 2019, has now become a global public health problem. Using publicly available data from the COVID-19 data repository of Our World in Data, we aimed to investigate the influences of spatial socio-economic vulnerabilities and neighbourliness on the COVID-19 burden in African countries. We analyzed the first wave (January–September 2020) and second wave (October 2020 to May 2021) of the COVID-19 pandemic using spatial statistics regression models. As of 31 May 2021, there was a total of 4,748,948 confirmed COVID-19 cases, with an average, median, and range per country of 101,041, 26,963, and 2191 to 1,665,617, respectively. We found that COVID-19 prevalence in an Africa country was highly dependent on those of neighbouring Africa countries as well as its economic wealth, transparency, and proportion of the population aged 65 or older (p-value < 0.05). Our finding regarding the high COVID-19 burden in countries with better transparency and higher economic wealth is surprising and counterintuitive. We believe this is a reflection on the differences in COVID-19 testing capacity, which is mostly higher in more developed countries, or data modification by less transparent governments. Country-wide integrated COVID suppression strategies such as limiting human mobility from more urbanized to less urbanized countries, as well as an understanding of a county’s social-economic characteristics, could prepare a country to promptly and effectively respond to future outbreaks of highly contagious viral infections such as COVID-19.

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“…In Thailand, a recent national survey reporting overuse and underuse of PPE among HCWs during the pandemic in Thailand highlighted that training programmes should be provided and continue to ensure appropriate PPE practice in healthcare settings (37). In addition, training HCWs on contact tracing and testing among high-risk individuals, supported by the use of a mobile application for reporting, was found to help mitigate COVID-19 transmission in Cambodia (38). Knowledge about the severity of the disease increased Vietnamese frontline workers willingness to be vaccinated against COVID-19 (39).…”

Section: Discussionmentioning

confidence: 99%

Risks and challenges in COVID-19 infection prevention and control in a hospital setting: perspectives of healthcare workers in Thailand

Jongdeepaisal

Chunekamrai

Maude

et al. 2022

Preprint

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In hospital settings, awareness of, and responsiveness to, COVID-19 are crucial to reducing the risk of transmission among healthcare workers (HCWs) and protecting them from infection. Healthcare professionals can offer insights into the practicalities of infection prevention and control measures and on how the protective equipment and training could best be delivered during the pandemic. This study aimed to inform the development of future recommendations to optimise compliance with appropriate use of these measures, and to improve the guidance to reduce their risk of the disease. Drawing on in-depth interviews with HCWs in a hospital in Thailand, several factors influence the use of multiple prevention measures: concerns about infection, availability of the equipment supply, barriers to work performance, and physical limitations in the hospital setting. Setting a ventilated outdoor space for screening and testing, and interaction through mobile technology, were perceived to reduce the transmission risk for staff and patients. Adequate training, clear guidelines, streamlined communications, and management support are crucial to encourage appropriate use of, and adherence to, implementation of infection prevention and control (IPC) measures among HCW. Further study should explore the perceptions and experience of health professionals in local health facilities and community-based workers during the pandemic, particularly in resource-limited settings.

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Understanding the Slow COVID-19 Trajectory of Cambodia

Cited by 27 publications

References 3 publications

Impact of diabetes mellitus on COVID-19 clinical symptoms and mortality: Jakarta’s COVID-19 epidemiological registry

Impact of diabetes mellitus on COVID-19 clinical symptoms and mortality: Jakarta’s COVID-19 epidemiological registry

A Spatial Analysis of COVID-19 in African Countries: Evaluating the Effects of Socio-Economic Vulnerabilities and Neighbouring

Risks and challenges in COVID-19 infection prevention and control in a hospital setting: perspectives of healthcare workers in Thailand

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