Assessing the risk of spread of COVID-19 to the Asia Pacific region

@article{Shearer2020AssessingTR,
  title={Assessing the risk of spread of COVID-19 to the Asia Pacific region},
  author={Freya M Shearer and James Walker and Nefel Tellioglu and James M. McCaw and Jodie McVernon and Andrew J. Black and Nicholas Geard},
  journal={medRxiv},
  year={2020}
}
During the early stages of an emerging disease outbreak, governments are required to make critical decisions on how to respond appropriately, despite limited data being available to inform these decisions. Analytical risk assessment is a valuable approach to guide decision-making on travel restrictions and border measures during the early phase of an outbreak, when transmission is primarily contained within a source country. Here we introduce a modular framework for estimating the importation… 

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References

SHOWING 1-10 OF 19 REFERENCES

The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak

TLDR
The results suggest that early detection, hand washing, self-isolation, and household quarantine will likely be more effective than travel restrictions at mitigating this pandemic, and sustained 90% travel restrictions to and from mainland China only modestly affect the epidemic trajectory unless combined with a 50% or higher reduction of transmission in the community.

Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers

TLDR
It is found that treating all travelers as if they were residents (rather than accounting for the brief stay of some of these travelers in Wuhan) can modestly contribute to underestimation of prevalence, and severity may be overestimated by several fold.

Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19

TLDR
It is found that most cases missed by screening are fundamentally undetectable, because they have not yet developed symptoms and are unaware they were exposed, which underscores the need for measures to limit transmission by individuals who become ill after being missed by a screening program.

Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study

TLDR
Because significant spread has already occurred, a large number of airline travellers may be required to be screened at origin high-risk cities in China and destinations across the globe for the following three months of February to April, 2020 to effectively limit spread beyond its current extent.

Effectiveness of traveller screening for emerging pathogens is shaped by epidemiology and natural history of infection

TLDR
It is shown that the effectiveness of different screening tools depends strongly on pathogen natural history and epidemiological features, as well as human factors in implementation and compliance, as in the most optimistic scenario arrival screening will miss the majority of cases.

Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

TLDR
There is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019 and considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere.

Using predicted imports of 2019-nCoV cases to determine locations that may not be identifying all imported cases

TLDR
Based on air travel volume estimates from Wuhan to international destinations and using a generalized linear regression model, locations which may potentially have undetected internationally imported cases are identified.