Veterinary Epidemiology, Economics and Public Health group, Department of Pathobiology and Population Sciences, The Royal Veterinary College, Hatfield, UK.
Centre for Applied One Health Research and Policy Advice, College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Sci Rep. 2018 Aug 1;8(1):11550. doi: 10.1038/s41598-018-29999-y.
The island of Mayotte is a department of France, an outermost region of the European Union located in the Indian Ocean between Madagascar and the coast of Eastern Africa. Due to its close connection to the African mainland and neighbouring islands, the island is under constant threat of introduction of infectious diseases of both human and animal origin. Here, using social network analysis and mathematical modelling, we assessed potential implications of livestock movements between communes in Mayotte for risk-based surveillance. Our analyses showed that communes in the central region of Mayotte acted as a hub in the livestock movement network. The majority of livestock movements occurred between communes in the central region and from communes in the central region to those in the outer region. Also, communes in the central region were more likely to be infected earlier than those in the outer region when the spread of an exotic infectious disease was simulated on the livestock movement network. The findings of this study, therefore, suggest that communes in the central region would play a major role in the spread of infectious diseases via livestock movements, which needs to be considered in the design of risk-based surveillance systems in Mayotte.
马约特岛是法国的一个海外省，是欧盟最偏远的地区之一，位于印度洋马达加斯加和东非海岸之间。由于其与非洲大陆和邻近岛屿的密切联系，该岛不断受到人畜传染病传入的威胁。在这里，我们使用社交网络分析和数学模型，评估了马约特岛各社区之间牲畜流动对基于风险的监测的潜在影响。我们的分析表明，马约特岛中部地区的社区是牲畜流动网络中的一个枢纽。大多数牲畜流动发生在中部地区的社区之间，以及从中部地区的社区到外部地区的社区。此外，当在牲畜流动网络上模拟外来传染病的传播时，中部地区的社区比外部地区的社区更早被感染。因此，这项研究的结果表明，中部地区的社区将在通过牲畜流动传播传染病方面发挥重要作用，这需要在马约特岛设计基于风险的监测系统时加以考虑。
