| 000 | 03079nam a22004697a 4500 | ||
|---|---|---|---|
| 999 |
_c228 _d228 |
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| 001 | D0001C000014 | ||
| 003 | DOH | ||
| 005 | 20200806155447.0 | ||
| 008 | 200325b ph ||||| |||| 00| 0 eng d | ||
| 040 |
_aDOH _cDOH |
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| 245 | 0 | 0 |
_aHuman-animal interactions and bat coronavirus spillover potential rural residents in Southern China / _cHongying Li [and sixteen others] |
| 260 |
_bElsevier, _c2019 |
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| 300 | _a7 pages | ||
| 336 | _a[journal article] | ||
| 500 | _aFrom the journal: Biosafety and Health 1 (2019) 84-90 | ||
| 504 | _aIncludes bibliographic references. | ||
| 520 | 3 | _aHuman interaction with animals has been implicated as a primary risk factor for several high impact zoonoses, including many bat-origin viral diseases. However the animal-to-human spillover events that lead to emerging diseases are rarely observed or clinically examined, and the link between specific interactions and spillover risk is poorly understood. To investigate this phenomenon, we conducted biological-behavioral surveillance among rural residents in Yunnan, Guangxi, and Guangdong districts of Southern China, where we have identified a number of SARS-related coronaviruses in bats. Serum samples were tested for four bat-borne coronaviruses using newly developed enzyme-linked immunosorbent assays (ELISA). Survey data were used to characterize associations between human-animal contact and bat coronavirus spillover risk. A total of 1,596 residents were enrolled in the study from 2015 to 2017. Nine participants (0.6%) tested positive for bat coronaviruses. 265 (17%) participants reported severe acute respiratory infections (SARI) and/or influenza-like illness (ILI) symptoms in the past year, which were associated with poultry, carnivore, rodent/shrew, or bat contact, with variability by family income and district of residence. This study provides serological evidence of bat coronavirus spillover in rural communities in Southern China. The low seroprevalence observed in this study suggests that bat coronavirus spillover is a rare event. Nonetheless, this study highlights associations between human-animal interaction and zoonotic spillover risk. These findings can be used to support targeted biological behavioral surveillance in high-risk geographic areas in order to reduce the risk of zoonotic disease emergence. | |
| 650 | 2 | _aCoronavirus | |
| 650 | 2 | _aHost Microbial Interactions | |
| 650 | 2 | _aChiroptera | |
| 653 | _aBats | ||
| 653 | _aCOVID-19 | ||
| 653 | _aVirus Host Interactions | ||
| 700 | 1 | _aLi, Hongying | |
| 700 | 1 | _aMendelsohn, Emma | |
| 700 | 1 | _aZong, Chen | |
| 700 | 1 | _aZhang, Wei | |
| 700 | 1 | _aHagan, Emily | |
| 700 | 1 | _aWang, Ning | |
| 700 | 1 | _aLi, Shiyue | |
| 700 | 1 | _aYan, Hong | |
| 700 | 1 | _aHuang, Huimin | |
| 700 | 1 | _aRoss, Noam | |
| 700 | 1 | _aChmura, Aleksei | |
| 700 | 1 | _aGerry, Philip | |
| 700 | 1 | _aFielder, Mark | |
| 700 | 1 | _aMiller, Maureen | |
| 700 | 1 | _aShi, Zhengli | |
| 700 | 1 | _aDaszak, Peter | |
| 856 | _uhttps://www.sciencedirect.com/science/article/pii/S2590053619300308 | ||
| 942 |
_cCV _2nlm |
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