Australian Bat Lyssavirus: Analysis of National Bat Surveillance Data from 2010 to 2016.
Australian Bat Lyssavirus: Analysis of National Bat Surveillance Data from 2010 to 2016.
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DOI：
10.3390/v13020189
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发表时间：
2021-01-27
期刊：
影响因子：
--
通讯作者：
Barrett J
中科院分区：
文献类型：
--
作者：
Iglesias R;Cox-Witton K;Field H;Skerratt LF;Barrett J
澳大利亚蝙蝠溶血病毒（ABLV）于1996年首次被发现，并从那时起在澳大利亚蝙蝠中定期检测到。虽然该病毒不会对蝙蝠造成种群水平的影响，对家畜的影响也很小，但它确实构成了公共卫生风险。因此，对蝙蝠进行ABLV监测，并由澳大利亚野生动物健康组织整理和维护国家数据集。使用逻辑回归和时间序列分析分析了2010-2016年数据集，以确定蝙蝠感染状况的预测因子以及与人类接触蝙蝠相关的因素。与以往的被动监测研究一样，我们发现小红狐（Pteropus scapulatus）比其他物种更容易感染ABLV。在澳大利亚大陆的四种狐蝠中，感染风险存在季节性差异，这可能与生殖周期有关，夏季和秋季是风险最大的季节。人类接触的风险也有季节性，冬季风险较低。与其他研究一致，我们发现遇到蝙蝠的环境，例如表现出异常行为或被禁足，是ABLV感染和人类接触的危险因素，应继续成为公共卫生信息的关键组成部分。我们还发现了对某些类型的信息有偏见记录的证据，这使得对某些发现的解释更具挑战性。在业务层面加强公共卫生和动物卫生服务之间的“一个健康”联系，有助于在未来克服这些偏见，而在全国范围内加强协调将增加数据集的价值。
Australian bat lyssavirus (ABLV) was first described in 1996 and has been regularly detected in Australian bats since that time. While the virus does not cause population level impacts in bats and has minimal impacts on domestic animals, it does pose a public health risk. For this reason, bats are monitored for ABLV and a national dataset is collated and maintained by Wildlife Health Australia. The 2010–2016 dataset was analysed using logistic regression and time-series analysis to identify predictors of infection status in bats and the factors associated with human exposure to bats. In common with previous passive surveillance studies, we found that little red flying-foxes (Pteropus scapulatus) are more likely than other species to be infected with ABLV. In the four Australian mainland species of flying-fox, there are seasonal differences in infection risk that may be associated with reproductive cycles, with summer and autumn the seasons of greatest risk. The risk of human contact was also seasonal, with lower risk in winter. In line with other studies, we found that the circumstances in which the bat is encountered, such as exhibiting abnormal behaviour or being grounded, are risk factors for ABLV infection and human contact and should continue be key components of public health messaging. We also found evidence of biased recording of some types of information, which made interpretation of some findings more challenging. Strengthening of “One Health” linkages between public health and animal health services at the operational level could help overcome these biases in future, and greater harmonisation nationally would increase the value of the dataset.
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