Evidence map›Paper›PMID 31943110›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2020

A drone delivery network for antiepileptic drugs: a framework and modelling case study in a low-income country.

Farrah J Mateen, K H Benjamin Leung, Andre C Vogel, Abass Fode Cissé, Timothy C Y Chan

Open access · greenAbstract read
In one paragraph

Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Farrah J MateenDepartment of Neurology, Massachusetts General Hospital, #627 - 165 Cambridge St., Boston, MA 02114, USA.
K H Benjamin LeungDepartment of Mechanical & Industrial Engineering University of Toronto, MC315 - 5 King's College Road, Toronto, Ontario M5S 3G8, Canada.
Andre C VogelDepartment of Neurology, Massachusetts General Hospital, #627 - 165 Cambridge St., Boston, MA 02114, USA.
Abass Fode CisséDepartment of Neurology, Ignace Deen Hospital, 9th Boulevard, Conakry, Republic of Guinea.
Timothy C Y ChanDepartment of Mechanical & Industrial Engineering University of Toronto, MC315 - 5 King's College Road, Toronto, Ontario M5S 3G8, Canada.
Massachusetts General Hospital · USUniversity of New Brunswick · CAIgnace Deen Hospital · GN

Funding

CLINICAL UTILITY OF A SMARTPHONE-BASED EEG SYSTEM FOR PEOPLE WITH EPILEPSY IN BHUTANR21NS098886 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MATEEN, FARRAH JASMINE · 2017 to 2018
$396k
NINDS NIH HHS R21 NS098886
6 · The paper itself

Abstract

backgroundIn urbanized, low-income cities with high rates of congestion, delivery of antiepileptic drugs (AEDs) by unmanned aerial vehicles (drones) to people with epilepsy for both emergency and non-urgent distribution may prove beneficial.

methodsConakry is the capital of the Republic of Guinea, a low-income sub-Saharan African country (2018 per capita gross national income US$830). We computed the number of drones and delivery times to distribute AEDs from a main urban hospital to 27 pre-identified gas stations, mosques and pharmacies and compared these to the delivery times of a personal vehicle.

resultsWe predict that a single drone could serve all pre-identified delivery locations in Conakry within a 20.4-h period. In an emergency case of status epilepticus, 8, 20 and 24 of the 27 pre-identified destinations can be reached from the hub within 5, 10 and 15 min, respectively. Compared with the use of a personal vehicle, the response time for a drone is reduced by an average of 78.8% across all times of the day.

conclusionsDrones can dramatically reduce the response time for both emergency and routine delivery of lifesaving medicines. We discuss the advantages and disadvantages of such a drone delivery model with relevance to epilepsy. However, the commissioning of a trial of drones for drug delivery in related diseases and geographies is justified.

Indexed as

AnticonvulsantsPovertyGuineaHumansAnticonvulsantsepilepsyhealthcare deliveryremote medicineunmanned aerial vehicle

Identifiers

PMID31943110
PMCPMC7139124
OpenAlexW2999432568

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.