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Unmanned aerial vehicles: potential tools for use in zoonosis control

Overview of attention for article published in Infectious Diseases of Poverty, June 2018
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Title
Unmanned aerial vehicles: potential tools for use in zoonosis control
Published in
Infectious Diseases of Poverty, June 2018
DOI 10.1186/s40249-018-0430-7
Pubmed ID
Authors

Qing Yu, Hui Liu, Ning Xiao

Abstract

Unmanned aerial vehicles (UAVs) have become useful tools to extend human abilities and capacities. Currently UAVs are being used for the surveillance of environmental factors related to the transmission of infectious diseases. They have also been used for delivering therapeutic drugs and life-saving supplies to patients or isolated persons in extreme conditions. There have been very few applications of UAVs for disease surveillance, control and prevention to date. However, we foresee many uses for these machines in the fight against zoonotic disease. The control of zoonoses has been a big challenge as these diseases are naturally maintained in animal populations. Among 868 reported zoonoses, echinococcosis (hydatid disease) is one of the most severe public health problems and listed as one of 17 neglected tropical diseases targeted for control by the World Health Organization. Infected dogs (domestic or stray) play the most important role as definitive hosts in maintaining the transmission of echinococcosis. However, the actual contribution of wild canines to transmission has received little attention as yet, but should certainly not be ignored. This paper summarizes the history of development and application of UAVs, with an emphasis on their potential use for zoonosis control. As an example, we outline a pilot trial of echinococcosis control in the Qinghai-Tibet Plateau region, in which UAVs were used to deliver baits with praziquantel for wildlife deworming. The data suggested that this is a cost-effective and efficient approach to the control of zoonotic diseases transmitted among wild animal populations.

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Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Researcher 10 17%
Student > Doctoral Student 5 9%
Other 3 5%
Student > Bachelor 3 5%
Other 8 14%
Unknown 19 33%
Readers by discipline Count As %
Medicine and Dentistry 10 17%
Agricultural and Biological Sciences 6 10%
Nursing and Health Professions 5 9%
Immunology and Microbiology 2 3%
Veterinary Science and Veterinary Medicine 2 3%
Other 13 22%
Unknown 20 34%