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Medical logistics analysis: An important tool for COVID-19 containment

1 Private Academic Practice, Bangkok, Thailand
2 Department of Community Medicine, Dr. DY Patil University, Pune, Maharashtra, India

Date of Submission25-Jun-2020
Date of Decision20-Jul-2020
Date of Acceptance20-Aug-2020

Correspondence Address:
Beuy Joob,
Private Academic Practice, Bangkok
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/mjdrdypu.mjdrdypu_354_20

How to cite this URL:
Joob B, Wiwanitkit V. Medical logistics analysis: An important tool for COVID-19 containment. Med J DY Patil Vidyapeeth [Epub ahead of print] [cited 2022 Jan 22]. Available from: https://www.mjdrdypv.org/preprintarticle.asp?id=319827

Dear Sir,

As a new emerging pandemic, COVID-19 is the present global problem.[1] Chronologically, the disease was imported and migrated from its first outbreak area in China to new settings around the world.[2] Disease migration is an important phenomenon. International collaboration for disease control is an important consideration for disease containment. Control of the disease importation and exportation has to be done. Nevertheless, the international communication and transportation still occurs and there are still new reported cases in many countries. If there is a new case, the tracing back for analysis of traveling history will be required. The medical logistic analysis is an important concept for investigation of travel history. The aim of this short article to introduce the advantage of medical logistic analysis for epidemiological investigation into the present COVID-19 pandemic crisis. Conceptually, medical logistic analysis is the application of logistic analysis of descriptions detailing of the path of movement of the patient. The details of embarkation, destination, and transportation are focused and analyzed in either qualitative or quantitative value. This is concordant with the concept of epidemiological investigations, tracing for the time and place dimensions of the case. The aim of this short article to introduce the advantage of medical logistic analysis for epidemiological investigation into the present COVID-19 pandemic crisis.

When there is already a case of exported disease by a patient to a new setting, a medical logistic analysis, after ruling out cases with local transmission, the COVID-19 cases can be systematically analyzed. In brief, origin and destination of the patient travel have to be identified. The travel path, including details (contact, vehicle, transit/lay-off, etc.), has to be detailed. At least the travel distance in each imported and exported case must be assessed in detailed. This process can help predict the risk. In addition, the data can be useful for regional disease control planning. Travel distances of imported and exported cases can be easily calculated and the expected average range of travel distance of disease might be calculated.[3] This can help forecast the countries in danger of disease spreading. For example, a medical logistics analysis in Indochina can give the expected average range of travel for more than 1500 km and this means the disease spreading can easily occur within Indochina and nearby country in Indochina and other communicating Asian countries such as India and China. In addition, the travel path analysis can help identify risk person contacting with the patient. This is useful for active case search for prompt management. It is also a useful tool for notification to the transportation service company for urgent infection control and cleansing in the case of identifying risk travel path.

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Conflicts of interest

There are no conflicts of interest.

  References Top

Hsia W. Emerging new coronavirus infection in Wuhan, China: Situation in early 2020. Case Study Case Rep 2020;10:8-9.  Back to cited text no. 1
Yasri S, Wiwanitkit V. Editorial: Wuhan coronavirus outbreak and imported case. Adv Trop Med Pub Health Int 2020;10:1-2.  Back to cited text no. 2
Sookaromdee P, Wiwanitkit V. Imported cases of 2019-novel coronavirus (2019-nCoV) infections in Thailand: Mathematical modelling of the outbreak. Asian Pac J Trop Med 2020;13:139-40. Available From: http://www.apjtm.org/preprintarticle.asp? [Last accessed on 2020 Feb 07].  Back to cited text no. 3


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