Gardner Lauren M, Chughtai Abrar A, MacIntyre C Raina
School of Civil and Environmental Engineering, UNSW Australia, Sydney, NSW 2052, Australia
School of Public Health and Community Medicine, Faculty of Medicine, UNSW Australia, Sydney, NSW, 2052, Australia.
J Travel Med. 2016 Sep 5;23(6). doi: 10.1093/jtm/taw063. Print 2016 Jun.
Middle East respiratory syndrome coronavirus (MERS-CoV) emerged from the Kingdom of Saudi Arabia (KSA) in 2012 and has since spread to 26 countries. All cases reported so far have either been in the Middle East or linked to the region through passenger air travel, with the largest outbreak outside KSA occurring in South Korea. Further international spread is likely due to the high travel volumes of global travel, as well as the occurrence of large annual mass gathering such as the Haj and Umrah pilgrimages that take place in the region.
In this study, a transport network modelling framework was used to quantify the risk of MERS-CoV spreading internationally via air travellers. All regions connected to MERS-CoV affected countries via air travel are considered, and the countries at highest risk of travel-related importations of MERS-CoV were identified, ranked and compared with actual spread of MERS cases.
The model identifies all countries that have previously reported a travel acquired case to be in the top 50 at-risk countries. India, Pakistan and Bangladesh are the highest risk countries which have yet to report a case, and should be prepared for the possibility of (pilgrims and general) travellers returning infected with MERS-CoV. In addition, the UK, Egypt, Turkey and the USA are at risk of more cases.
We have demonstrated a risk-analysis approach, using travel patterns, to prioritize countries at highest risk for MERS-CoV importations. In order to prevent global outbreaks such as the one seen in South Korea, it is critical for high-risk countries to be prepared and have appropriate screening and triage protocols in place to identify travel-related cases of MERS-CoV. The results from the model can be used by countries to prioritize their airport and hospital screening and triage protocols.
中东呼吸综合征冠状病毒(MERS-CoV)于2012年在沙特阿拉伯王国出现,此后已传播至26个国家。迄今为止报告的所有病例均在中东地区,或通过航空旅客与该地区相关联,沙特阿拉伯境外最大规模的疫情爆发发生在韩国。由于全球旅行量巨大,以及该地区每年都会举办如朝觐和副朝朝圣等大型群体活动,MERS-CoV进一步在国际上传播的可能性很大。
在本研究中,使用了一个交通网络建模框架来量化MERS-CoV通过航空旅客在国际上传播的风险。考虑了所有通过航空旅行与受MERS-CoV影响国家相连的地区,并确定、排名与MERS病例实际传播情况相比,与旅行相关的MERS-CoV输入风险最高的国家。
该模型确定所有此前报告过旅行感染病例的国家都在风险最高的50个国家之列。印度、巴基斯坦和孟加拉国是尚未报告病例但风险最高的国家,应做好准备应对(朝圣者和普通)旅行者感染MERS-CoV回国的可能性。此外,英国、埃及、土耳其和美国也有出现更多病例的风险。
我们展示了一种利用旅行模式进行风险分析的方法,以确定MERS-CoV输入风险最高的国家的优先级。为防止出现如韩国那样的全球疫情爆发,高风险国家做好准备并制定适当的筛查和分诊方案以识别与旅行相关的MERS-CoV病例至关重要。各国可利用该模型的结果来确定其机场和医院筛查及分诊方案的优先级。