Addressing the global snakebite crisis with geo-spatial analyses - Recent advances and future direction.

Journal: Toxicon: X

Volume: 11

Issue: 

Year of Publication: 

Affiliated Institutions:  Division of Data, Analytics and Delivery for Impact (DDI), World Health Organization, Geneva, Switzerland. GeoHealth Group, Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland. Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom. Research Group in Mathematical and Computational Biology (BIOMAC), Department of Biomedical Engineering, University of Los Andes, Bogotá, Colombia. School of Biology, College of Science, University of Tehran, Iran. MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, UK. Health Data Science Unit, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka.

Abstract summary 

Venomous snakebite is a neglected tropical disease that annually leads to hundreds of thousands of deaths or long-term physical and mental ailments across the developing world. Insufficient data on spatial variation in snakebite risk, incidence, human vulnerability, and accessibility of medical treatment contribute substantially to ineffective on-ground management. There is an urgent need to collect data, fill knowledge gaps and address on-ground management problems. The use of novel, and transdisciplinary approaches that take advantage of recent advances in spatio-temporal models, 'big data', high performance computing, and fine-scale spatial information can add value to snakebite management by strategically improving our understanding and mitigation capacity of snakebite. We review the background and recent advances on the topic of snakebite related geospatial analyses and suggest avenues for priority research that will have practical on-ground applications for snakebite management and mitigation. These include streamlined, targeted data collection on snake distributions, snakebites, envenomings, venom composition, health infrastructure, and antivenom accessibility along with fine-scale models of spatio-temporal variation in snakebite risk and incidence, intraspecific venom variation, and environmental change modifying human exposure. These measures could improve and 'future-proof' antivenom production methods, antivenom distribution and stockpiling systems, and human-wildlife conflict management practices, while simultaneously feeding into research on venom evolution, snake taxonomy, ecology, biogeography, and conservation.

Authors & Co-authors:  Pintor Anna F V AFV Ray Nicolas N Longbottom Joshua J Bravo-Vega Carlos A CA Yousefi Masoud M Murray Kris A KA Ediriweera Dileepa S DS Diggle Peter J PJ

Study Outcome 

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Statistics
Citations :  Acharya K.P., Paudel P.K., Jnawali S.R., Neupane P.R., Koehl M. Can forest fragmentation and configuration work as indicators of human–wildlife conflict? Evidences from human death and injury by wildlife attacks in Nepal. Ecol. Indicat. 2017;80:74–83.
Authors :  8
Identifiers
Doi : 100076
SSN : 2590-1710
Study Population
Male,Female
Mesh Terms
Other Terms
Envenomings;Medically relevant snakes;Neglected tropical diseases;Snakebite incidence;Spatio-temporal epidemiology;Species distribution models
Study Design
Study Approach
Country of Study
Publication Country
England