Skip to main content

Unmanned aerial vehicles: potential tools for use in zoonosis control


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.

Multilingual abstracts

Please see Additional file 1 for translations of the abstract into the five official working languages of the United Nations.


Technological progress and military demands have seen unmanned aerial vehicles (UAVs) gradually develop into an important component of weaponry worldwide since the 1950s. Meanwhile, many developed countries, such as the USA and Japan, have found civilian uses for UAVs, such as aerial spraying for plant crop protection. The first use of UAVs for pest control on cotton crops in the USA was in 1918 [1]. Since then, more than 20 types of UAVs for agricultural purposes have been produced in the USA and over 60% of pesticide sprayings are now done using these machines [2]. Since the 1990s, Japan has consistently been at the forefront of unmanned helicopter use for pest control. In 1990, the Japanese company Yamaha launched the first unmanned helicopter primarily for pesticide spraying [3,4,5]. Although development of UAVs in China was initiated in the 1950s for military purposes, civilian uses, primarily for agricultural spraying, have been expanding since 2008 [6,7,8]. Because they can operate under clouds and are light, relatively cheap, small and maneuverable, UAVs have been extensively applied in the fields of surveying and mapping, handling of emergency events, surveillance and recording of images [9,10,11,12]. They can provide very accurate data of land-use changes such as forest exploitation or agricultural development.

In the field of public health, UAVs have considerable potential. One of their main applications has been to acquire real-time data and constantly update important risk-related information in hotspot areas. The detailed ecological and environmental data they collect can be used for assessing factors (e.g. movement and distribution of people, animals, and pathogen-carrying insects) influencing the transmission of infectious diseases [13,14,15,16]. This is possible because spatial resolution by remote sensing of UAVs can reach the centimeter level. Given this imaging capability, UAVs can also be used for recovery and rescue activities in the aftermath of natural disasters, as for example, following the 2008 Sichuan and the 2010 Yushu earthquakes in China. On those occasions, they were mainly used in assessing the degree of damage to buildings and the environment [17]. In terms of disease surveillance and control/prevention, two main functions of UAVs are identification and action, and both are expected to be widely utilized in the future. In a survey on human malaria infection from monkeys, Fornace et al. (2014) used UAVs to delineate changes in habitats of mosquitoes and monkeys. Their data were integrated with case information from hospitals to assess the transmission risk [18].

A zoonosis is broadly defined as “a disease and/or an infection that is naturally transmitted between humans and vertebrates” [19, 20]. Table 1 lists some of the most important of these. Taylor et al. (2001) reviewed 1415 types (species) of infectious pathogens causing human disease, of which 868 (61%) were regarded as zoonotic [21]. Among these zoonotic diseases, echinococcosis (hydatid disease) is of major public health concern and one of the 17 neglected tropical diseases recognized by the World Health Organization. Echinococcosis occurs worldwide, but is mainly endemic in central, eastern and western Asia, South America, Australasia, southern, northern and eastern Africa. Echinococcosis is caused by tapeworms of the genus Echinococcus, primarily E. granulosus (which causes cystic echinococcosis, CE) and Echinococcus multilocularis (alveolar echinococcosis, AE). It is estimated that over 1 million people are at risk of CE and AE. Economic costs are around US$ 3 billion annually. The disease burden is nearly 10 million (due to CE) and 6.5 million (due to AE) disability-adjusted life years. AE is “tumor-like” and has a ten-year mortality rate of 94% if the patients are without sustained treatment [22, 23]. Dogs play a key role in maintaining transmission. In fact, through implementing control programs focused on deworming and management of domestic and farm dogs, New Zealand, Iceland and Tasmania have all successfully eliminated echinococcosis [24,25,26]. However, the contribution of wild canids to maintenance of zoonotic transmission has been neglected to date. Due to their wide-ranging behavior, the control of infected wild animals is still a big challenge. However, it is anticipated that UAVs could play a crucial role in control of zoonotic transmission with a focus on wild animal populations. Recent work is evaluating the use of UAVs to deliver praziquantel to deworm wildlife on the Qinghai-Tibet plateau as a means of controlling echinococcosis. This study highlights the extensive applications in public health that UAVs could have, particularly in surveillance and control of infectious diseases.

Table 1 Major zoonoses

Potential and challenges for UAV use in control of zoonoses

The prevention and control of zoonoses involves a complicated ecological network including the pathogens, human beings, livestock, wild animals and environmental factors [19]. When these natural circulations are affecting public health and threatening human lives, they often exhibit the following characteristics:

1. Huge resource requirements. Many zoonotic diseases impose large demands on public health resources and have high maintenance costs, requiring long-term and persistent measures and investment to maintain control. If control efforts stop, these diseases will rebound very quickly.

2. Emerging infectious disease issues. About 75% of emerging infectious diseases are zoonoses [21]. Their multi-host features provide potential pathogenic variations due to gene mutations and new pathogens may arise as a consequence [27]. For example, the avian influenza A virus H7N9 subtype that infects people resulted from the recombination of viruses in poultry [27, 28]. In addition, the overlap between new production activity areas of humans and the ecological niches of animals already living there promotes the dissemination of certain animal diseases to humans [29, 30].

3. Food safety issues. Many food-borne diseases are due to zoonotic pathogens that threaten human health. In 2011, 3.6 million people suffered from food-borne bacterial diseases in the USA [31], as did 330 000 people in Europe [32].

Many zoonoses are endemic in China. Among them, echinococcosis is one of the most severe public health problems in the western parts of China where the number of people at risk and the prevalence are the highest in the world. Eight provinces (autonomous regions) of China experience the greatest incidence of echinococcosis, Inner Mongolia, Sichuan, Yunnan, Tibet, Gansu, Qinghai, Ningxia, and Xinjiang. Domestic and farm dogs form the most important reservoir. A national survey in 2012 found 4.26% of dogs were positive for echinococcosis based on the copro-antigen test [33, 34]. The infection rate in stray dogs was higher than that in owned dogs and in some areas, such as Yushu of Qinghai Province, even reached 70% [35]. Echinococcus adult worms begin egg production in the small intestine of dogs 28–45 days after hydatid cysts have been eaten. For that reason, it is recommended to deworm every dog monthly. In 2006, the Chinese government initiated a national echinococcosis control program for “monthly drug-deworming of every owned dog”. This measure has achieved considerable success [36]. However, infection rates in wild canids (foxes and wolves) are poorly known but are thought to be significant. Efficient control of wild animal infections will be required if prevention and control efforts are to succeed [24, 37]. A pilot trial using UAVs for drug-bait delivery has been conducted in the field, which aimed to control echinococcosis in wild animals in highly endemic environments. In this trial, the parallel uses of bait delivery by UAVs and by manual methods in 1 km2 test areas were compared with respect to time of delivery and overall cost. Based on coproantigen tests, the average infection rate of wild animals was 38.2% higher in manually seeded areas than in those seeded by the UAVs, and only a third of the manpower was needed for the latter approach. In addition, the mean cost of a UAV to distribute baits was 40% of the cost of manual delivery. Furthermore, estimates based on a unit of one km2 area (equal to one million m2) indicate that the use of UAVs for distributing baits would cost approximately 61% less than manual delivery [38]. This highlights the potential applications of UAVs as efficient and cost-effective tools for zoonosis control in wild animals.

Recently, the Japanese Avionics company developed an infrared thermal-imaging camera with 320 × 240-pixel image dimensions and a 0.04 °C temperature resolution [39]. Therefore, it may be possible to apply UAVs for temperature monitoring in the surveillance of disease symptoms. Similarly, with the high accuracy and non-invasive nature of UAVs, this technology could be used to directly observe the activities and densities of rodent populations and to monitor changes in their mortality patterns, providing an early warning for natural focal diseases such as plague. With their increasing technical sophistication, UAVs also have the potential to perform population surveillance of mosquitoes through the delivery and recovery of mosquito-lure lamps. If the optical resolution eventually reaches an appropriate scale, it could be used for direct observation and monitoring of mosquitoes. If appropriate modifications are made to existing models used for environmental surveillance and pesticide spraying, UAVs could easily be used for control of disease vectors/intermediate hosts and for environmental disinfection. For example, UAVs could perform accurate fixed-point delivery of therapeutic drugs to treat animal infectious sources. They could also be used for targeted delivery of those vaccines that can be ingested or inhaled by animal populations [40,41,42]. In the event of disease outbreak or other disaster, UAVs could deliver therapeutic drugs and life-saving supplies to patients or isolated persons in remote areas.


Although there have been very few applications of UAVs for disease surveillance and control to date, progress made in other fields leads us to expect that UAVs will be very useful tools for public health fieldwork, especially for the control of zoonotic diseases transmitted among wild animal populations.



Alveolar echinococcosis


Cystic echinococcosis


Unmanned aerial vehicles


  1. Sun SH. Unmanned aerial vehicle, “vanguard wings”. World Knowl. 2015;6:64–5. (in Chinese)

    Google Scholar 

  2. LI L, Xiong T, XY HU, Xiong J. Application areas and future of UAV. Geospatial Inf. 2010;8(5):7–9. (in Chinese)

    CAS  Google Scholar 

  3. Jeremiah U. Unmanned Aerial Systems. USA: US Congressional. Research Service; 2012.

    Google Scholar 

  4. Li D, Li M. Research advances and application prospects of unmanned aerial vehicle remote sensing systems. Geom Inform Sci Wuhan Uni. 2014;39(5):505–13. (in Chinese)

    Google Scholar 

  5. Tao Y, Li P. Development and key technology of UAV. Aeronaut Manuf Technol. 2014;20:34–9. (in Chinese)

    Google Scholar 

  6. Qin B, Wang L. Overview of UAV development. Aerodyn Missile J. 2002;8:4–10. (in Chinese)

    Google Scholar 

  7. Wen Y, Xue X, Qu B, Sun X, Shen J. China plant protection unmanned aerial vehicle technology route and industry trend. China Plant Protect. 2014;S1:30–2. (in Chinese)

    Google Scholar 

  8. Wang B, Yuan HY. Development status and trend of unmanned aerial vehicle spraying. Agric Technol. 2016;36(7):59–61. (in Chinese)

    CAS  Google Scholar 

  9. Fan C, Han J, Xiong ZJ, Zhao Y. Application and status of unmanned aerial vehicle remote sensing technology. Sci Surv Mapp. 2009;34(5):214–5. (in Chinese)

    Google Scholar 

  10. Liu C, Kuo L, Yu C. Application of the UAV aerial technique in the evaluation of flash flood disasters. China Flood Drought Manage. 2014;24(3):2–8. (in Chinese)

    Google Scholar 

  11. Yang K. Application of UAV remote sensing technology in soil and water conservation monitoring of development and construction projects. Shaanxi Water Resour. 2013;4:145–6. (in Chinese)

    Google Scholar 

  12. Hong YF, Yang HJ, Li Y, Cai MK, Zhu HT, Zhao S, et al. Monitoring of water source using unmanned aerial vehicle remote sensing technology. Environ Monit China. 2015;31(5):163–6. (in Chinese)

    Google Scholar 

  13. Li CX, Zhang YM, Dong YD, Zhou MH, Zhang HD, Chen HN, et al. An unmanned aerial vehicle-mounted cold mist spray of permethrin and tetramethylfluthrin targeting Aedes albopictus in China. J Am Mosq Control Assoc. 2016;32(1):59–62.

    Article  PubMed  Google Scholar 

  14. Schootman M, Nelson EJ, Werner K, Shacham E, Elliott M, Ratnapradipa K, et al. Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps. Int J Health Geogr. 2016;15(1):20.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Jones RA. Trends in plant virus epidemiology: opportunities from new or improved technologies. Virus Res. 2014;186:3–19.

    Article  PubMed  CAS  Google Scholar 

  16. Mathe K, Busoniu L. Vision and control for UAVs: a survey of general methods and of inexpensive platforms for infrastructure inspection. Sensors. 2015;15(7):14887–916.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Li Y, Xu W, Wu W. Application research on aviation remote sensing UAV for disaster monitoring. J Catastrophol. 2011;6(01):138–43. (in Chinese)

    CAS  Google Scholar 

  18. Fornace KM, Drakeley CJ, William T, Espino F, Cox J. Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology. Trends Parasitol. 2014;11:514–9.

    Article  Google Scholar 

  19. The Pan American Health Organization. Zoonoses and communicable diseases common to man and animals (3rd edition), Pedro NA and Boris S (ed.) The Pan American Health Organization, Washington DC, 2003.

  20. The American Public Health Association. Control of communicable diseases manual (18th edition), David LH (ed.), The American Public Health Association, Washington DC, 2004.

  21. Taylor LH, Latham SM, Woolhouse ME. Risk factors for human disease emergence. Philos Trans R Soc Lond Ser B Biol Sci. 2001;356(1411):983–9.

    Article  CAS  Google Scholar 

  22. McManus DP, Zhang W, Li J, Bartley PB. Echinococcosis. Lancet. 2003;362:1295–305.

    Article  PubMed  Google Scholar 

  23. Torgerson PR, Keller K, Magnotta M, Ragland N. The global burden of alveolar echinococcosis. PLoS Negl Trop Dis. 2010;4(6):e722.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Angela MCR, Yang YR, McManus DP, Gray DJ, Giraudoux P, Barnes TS, et al. The landscape epidemiology of echinococcoses. Infect Dis Poverty. 2016;5:13.

    Article  Google Scholar 

  25. Zulfiqar AB, Johannes S, Zohra SL, Rehana AS, Jai KD. Global burden, distribution, and interventions for infectious diseases of poverty. Infect Dis Poverty. 2014;3:21.

    Article  Google Scholar 

  26. World Health Organization (translated by Zhou X et al). Handbook of human and animal echinococcosis. Shanghai: Wenhui Publishing House; 2014.

    Google Scholar 

  27. Smith GJ, Vijaykrishna D, Bahl J, Lycett SJ, Worobey M, Pybus OG, et al. Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza a epidemic. Nature. 2009;459(7250):1122–5.

    Article  PubMed  CAS  Google Scholar 

  28. Lam TT, Wang J, Shen Y, Zhou B, Duan L, Cheung CL, et al. The genesis and source of the H7N9 influenza viruses causing human infections in China. Nature. 2013;502(7470):241–4.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Leroy EM, Kumulungui B, Pourrut X, Rouquet P, Hassanin A, Yaba P, et al. Fruit bats as reservoirs of Ebola virus. Nature. 2005;438(7068):575–6.

    Article  PubMed  CAS  Google Scholar 

  30. Ogawa H, Miyamoto H, Nakayama E, Yoshida R, Nakamura I, Sawa H, et al. Seroepidemiological prevalence of multiple species of filoviruses in fruit bats (Eidolon helvum) migrating in Africa. J Infect Dis. 2015;212(Suppl 2):S101–8.

    Article  PubMed  CAS  Google Scholar 

  31. Scallan E, Hoekstra RM, Angulo FJ, Tauxe RV, Widdowson M-A, Roy SL, et al. Foodborne illness acquired in the United States—major pathogens. Emerg Infect Dis. 2011;17(1):7–15.

    Article  PubMed  PubMed Central  Google Scholar 

  32. European Food Safety Authority. European Centre for Disease Prevention and Control. The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2011. EFSA. Journal. 2013;11(4):3129–47.

    Google Scholar 

  33. Wang GQ. Epidemiological survey on echinococcosis in China. Shanghai: Shanghai Science and Technology Press; 2016.

  34. Xiao N, Yao JW, Ding W, Giraudoux P, Craig PS, Ito A. Priorities for research and control of cestode zoonoses in Asia. Infect Dis Poverty. 2013;2:16.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Ma SC, Wei W. Human echinococcosis control [J]. China Anim Hus. 2013;14:42–3. (in Chinese)

    Google Scholar 

  36. Zhang W, Zhang Z, Wu W, Shi B, Li J, Zhou XN, et al. Epidemiology and control of echinococcosis in Central Asia, with particular reference to the People's Republic of China. Acta Trop. 2015;141:235–43.

    Article  PubMed  Google Scholar 

  37. Budke CM, Campos-Ponce M, Qian W, Torgerson PR. A canine purgation study and risk factor analysis for echinococcosis in a high endemic region of the Tibetan plateau. Vet Parasitol. 2005;127:4349.

    Article  Google Scholar 

  38. Yu Q, Xiao N, Yang SJ, Han S. Deworming of stray dogs and wild canines with praziquantel-laced baits delivered by an unmanned aerial vehicle in areas highly endemic for echinococcosis in China. Infect Dis Poverty. 2017;6:117.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Miyake T. Avionics develops infrared camera for unmanned aerial vehicles in the diagnosis of solar panels and bridges. China Electr Power Technol Ed. 2015;

  40. Huyge K, Van Reeth K, De Beer T, Landman WJ, van Eck JH, Remon JP, et al. Suitability of differently formulated dry powder Newcastle disease vaccines for mass vaccination of poultry. Eur J Pharm Biopharm. 2012;80(3):649–56.

    Article  PubMed  CAS  Google Scholar 

  41. Lamphear BJ, Jilka JM, Kesl L, Welter M, Howard JA, Streatfield SJ. A corn-based delivery system for animal vaccines: an oral transmissible gastroenteritis virus vaccine boosts lactogenic immunity in swine. Vaccine. 2004;22(19):2420–4.

    Article  PubMed  CAS  Google Scholar 

  42. Bakke H, Samdal HH, Holst J, Oftung F, Haugen IL, Kristoffersen AC, et al. Oral spray immunization may be an alternative to intranasal vaccine delivery to induce systemic antibodies but not nasal mucosal or cellular immunity. Scand J Immunol. 2006;63(3):223–31.

    Article  PubMed  CAS  Google Scholar 

Download references


The authors wish to thank Dr. David Blair, Professor of School of Marine and Tropical Biology, James Cook University, Townsville, QLD 4811, Australia ( for his critical comments and revisions on the manuscript.


This study was supported by the National Key Research and Development Program of China (No. 2016YFC1200500) and the Project of Ganzi Tibetan Autonomous Prefecture Station for Echinococcosis Control, China CDC.

Availability of data and materials

The supporting data in this paper are included in the context.

Author information

Authors and Affiliations



QY and HL wrote and revised the manuscript, NX designed, reviewed and edited the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ning Xiao.

Ethics declarations

Authors’ information

Qing YU, Professor and Deputy Head of Department of Echinococcosis Control, National Institute of Parasitic Diseases of Chinese Center for Disease Control and Prevention, His research fields involve the epidemiology and control strategy of key parasitic diseases with focus on technical approaches toward the control and elimination of the diseases; Hui LIU, Associate Researcher of Jinan Center for Disease Control and Prevention, Shandong Province of China, He is a microbiologist with a wide interest in study of bacteriology and other pathogens; Ning XIAO, Professor and Deputy Director of National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, His research interests cover the epidemiology, pathogenic biology and control strategy of key parasitic diseases with focus on pathogenic and phylogenetic study of parasites.

Ethics approval and consent to participate

The study has been reviewed and approved by the Ethical Review Board of National Institute of Parasitic Diseases. The study does not involve the use of any animal or human samples.

Competing interests

The authors declare that they have no competing interests.

Additional file

Additional file 1:

Multilingual abstracts in the five official working languages of the United Nations. (PDF 212 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, Q., Liu, H. & Xiao, N. Unmanned aerial vehicles: potential tools for use in zoonosis control. Infect Dis Poverty 7, 49 (2018).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: