Drone-assisted medicinal maggot distribution in compromised healthcare settings

Frank Stadler; Peter Tatham

doi:10.11647/OBP.0300.18

Drone-assisted medicinal maggot distribution in compromised healthcare settings

Frank Stadler, Peter Tatham

Applied BioSciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

8 Citations (Scopus)

63 Downloads (Pure)

Abstract

Timely delivery of medicinal maggots is challenging when logistics infrastructure is poor due to underinvestment or disaster-related destruction of roads, bridges and railway lines. Unmanned Aerial Vehicles, commonly known as ‘drones’, are much cheaper to procure and operate than planes and helicopters and can overfly the areas where roads or railway lines are impassable. This chapter provides a brief profile of current drone technology, and explores drone service design considerations in relation to medicinal maggot distribution. It also presents case examples of drone technologies that could be used for medicinal maggot distribution, and provides guidance for the implementation of drone-assisted medicinal maggot distribution.

Original language	English
Title of host publication	A Complete Guide to Maggot Therapy
Subtitle of host publication	Clinical Practice, Therapeutic Principles, Production, Distribution, and Ethics
Editors	Frank Stadler
Place of Publication	Cambridge
Publisher	Open Book Publishers
Chapter	18
Pages	383-402
Number of pages	20
ISBN (Electronic)	9781800647305, 9781800647312, 9781800647329
ISBN (Print)	9781800647282, 9781800647299
DOIs	https://doi.org/10.11647/OBP.0300.18
Publication status	Published - 2022

Bibliographical note

Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

10.11647/OBP.0300.18

Publisher version (open access)Final published version, 1.82 MBLicence: CC BY-NC

Cite this

@inbook{3aa3fa7cccbb4c9c8564ef87df979a6e,

title = "Drone-assisted medicinal maggot distribution in compromised healthcare settings",

abstract = "Timely delivery of medicinal maggots is challenging when logistics infrastructure is poor due to underinvestment or disaster-related destruction of roads, bridges and railway lines. Unmanned Aerial Vehicles, commonly known as {\textquoteleft}drones{\textquoteright}, are much cheaper to procure and operate than planes and helicopters and can overfly the areas where roads or railway lines are impassable. This chapter provides a brief profile of current drone technology, and explores drone service design considerations in relation to medicinal maggot distribution. It also presents case examples of drone technologies that could be used for medicinal maggot distribution, and provides guidance for the implementation of drone-assisted medicinal maggot distribution.",

author = "Frank Stadler and Peter Tatham",

note = "Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher. ",

year = "2022",

doi = "10.11647/OBP.0300.18",

language = "English",

isbn = "9781800647282",

pages = "383--402",

editor = "Frank Stadler",

booktitle = "A Complete Guide to Maggot Therapy",

publisher = "Open Book Publishers",

}

Drone-assisted medicinal maggot distribution in compromised healthcare settings. / Stadler, Frank; Tatham, Peter.
A Complete Guide to Maggot Therapy: Clinical Practice, Therapeutic Principles, Production, Distribution, and Ethics. ed. / Frank Stadler. Cambridge: Open Book Publishers, 2022. p. 383-402.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Drone-assisted medicinal maggot distribution in compromised healthcare settings

AU - Stadler, Frank

AU - Tatham, Peter

N1 - Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2022

Y1 - 2022

N2 - Timely delivery of medicinal maggots is challenging when logistics infrastructure is poor due to underinvestment or disaster-related destruction of roads, bridges and railway lines. Unmanned Aerial Vehicles, commonly known as ‘drones’, are much cheaper to procure and operate than planes and helicopters and can overfly the areas where roads or railway lines are impassable. This chapter provides a brief profile of current drone technology, and explores drone service design considerations in relation to medicinal maggot distribution. It also presents case examples of drone technologies that could be used for medicinal maggot distribution, and provides guidance for the implementation of drone-assisted medicinal maggot distribution.

AB - Timely delivery of medicinal maggots is challenging when logistics infrastructure is poor due to underinvestment or disaster-related destruction of roads, bridges and railway lines. Unmanned Aerial Vehicles, commonly known as ‘drones’, are much cheaper to procure and operate than planes and helicopters and can overfly the areas where roads or railway lines are impassable. This chapter provides a brief profile of current drone technology, and explores drone service design considerations in relation to medicinal maggot distribution. It also presents case examples of drone technologies that could be used for medicinal maggot distribution, and provides guidance for the implementation of drone-assisted medicinal maggot distribution.

UR - http://www.scopus.com/inward/record.url?scp=85175217478&partnerID=8YFLogxK

U2 - 10.11647/OBP.0300.18

DO - 10.11647/OBP.0300.18

M3 - Chapter

SN - 9781800647282

SN - 9781800647299

SP - 383

EP - 402

BT - A Complete Guide to Maggot Therapy

A2 - Stadler, Frank

PB - Open Book Publishers

CY - Cambridge

ER -

Drone-assisted medicinal maggot distribution in compromised healthcare settings

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this