Politics and the Management of Public Health Disasters: Reflections on the SARS epidemic in Greater China

Hui, Dennis Lai Hang; Ng, M.

doi:10.1177/101053950701901s02

Cited by 9 publications

(13 citation statements)

References 7 publications

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“…(2) massive growing needs for masks; (3) a large number of suspected patients waiting to confirm their diagnose; (4) a large number of diagnosed COVID-19 patients for treatment; and (5) a growing number of deaths, despite national efforts to improve therapy, including the decision to build two large hospitals within a period of days. The emotional responses, mostly stimulated by the daily release of data have created a big barrier for effective control of the epidemic as has been observed in other epidemics of similar nature [2,3].…”

Section: Introductionmentioning

confidence: 99%

First two months of the 2019 Coronavirus Disease (COVID-19) epidemic in China: real-time surveillance and evaluation with a second derivative model

Chen

2020

glob health res policy

141

140

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Background: Similar to outbreaks of many other infectious diseases, success in controlling the novel 2019 coronavirus infection requires a timely and accurate monitoring of the epidemic, particularly during its early period with rather limited data while the need for information increases explosively. Methods: In this study, we used a second derivative model to characterize the coronavirus epidemic in China with cumulatively diagnosed cases during the first 2 months. The analysis was further enhanced by an exponential model with a close-population assumption. This model was built with the data and used to assess the detection rate during the study period, considering the differences between the true infections, detectable and detected cases. Results: Results from the second derivative modeling suggest the coronavirus epidemic as nonlinear and chaotic in nature. Although it emerged gradually, the epidemic was highly responsive to massive interventions initiated on January 21, 2020, as indicated by results from both second derivative and exponential modeling analyses. The epidemic started to decelerate immediately after the massive actions. The results derived from our analysis signaled the decline of the epidemic 14 days before it eventually occurred on February 4, 2020. Study findings further signaled an accelerated decline in the epidemic starting in 14 days on February 18, 2020. Conclusions: The coronavirus epidemic appeared to be nonlinear and chaotic, and was responsive to effective interventions. The methods used in this study can be applied in surveillance to inform and encourage the general public, public health professionals, clinicians and decision-makers to take coordinative and collaborative efforts to control the epidemic.

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Section: Introductionmentioning

confidence: 99%

First two months of the 2019 Coronavirus Disease (COVID-19) epidemic in China: real-time surveillance and evaluation with a second derivative model

Chen

2020

glob health res policy

141

140

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“…China experienced great distress from the (severe acute respiratory syndromes) SARS epidemic back in 2003, resulting in numerous deaths, panic, and economic losses. 10-12 Therefore, the Chinese government has implemented strict public health measures against the spread of H1N1. These include custom declaration and the quarantining of patients with flu-like symptoms.…”

Section: Introductionmentioning

confidence: 99%

Preventive Behaviors and Mental Distress in Response to H1N1 Among University Students in Guangzhou, China

Zhong

Hao

et al. 2012

Asia Pac J Public Health

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“…Despite continued reporting of cases within the healthcare network, wider information dissemination was restricted. An information blackout was enforced under strict government orders stating that public sharing of information about the disease would result in prosecution for leaking state secrets (Fidler, ; Huang, ; Hui and Ng, ; Ahmad, Krumkamp, and Reintjes, ).…”

Section: Case Study 2: China Sars and Whomentioning

confidence: 99%

A disaster diplomacy perspective of acute public health events

et al. 2018

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Conceptions of acute public health events typically assume that they are tackled exclusively or principally through technical and medical solutions. Yet health and politics are inexorably linked. To better understand this link, this paper adopts a disaster diplomacy perspective for analysing and assessing the impacts of acute public health events on diplomatic outcomes. Two gaps in understanding disaster-health-politics connections are addressed: (i) how health interventions can impact diplomatic endeavours, especially for (ii) acute public health events. Three diverse case studies are interpreted from a disaster diplomacy perspective: Cuba's medical diplomacy, China and Severe Acute Respiratory Syndrome (SARS), and polio vaccination. Disaster diplomacy permits deeper investigation and analysis of connections amongst health, disaster, and diplomatic activities by viewing efforts on acute public health events as being political through disaster risk reduction (beforehand) and disaster response (during and afterwards). Understanding improves how health interventions affect diplomacy and on disaster diplomacy's limitations.

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Politics and the Management of Public Health Disasters: Reflections on the SARS epidemic in Greater China

Cited by 9 publications

References 7 publications

First two months of the 2019 Coronavirus Disease (COVID-19) epidemic in China: real-time surveillance and evaluation with a second derivative model

First two months of the 2019 Coronavirus Disease (COVID-19) epidemic in China: real-time surveillance and evaluation with a second derivative model

Preventive Behaviors and Mental Distress in Response to H1N1 Among University Students in Guangzhou, China

A disaster diplomacy perspective of acute public health events

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