Optimising the assignment of swabs and reagent for PCR testing during a viral epidemic

Santini, Alberto

doi:10.1016/j.omega.2020.102341

Cited by 20 publications

(15 citation statements)

References 28 publications

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“…The survey which covers both medical and technological perspectives to facilitate the virologists, artificial intelligence researchers and policymakers while in combating the COVID-19 outbreak is given in [2]. A specific aspect of the pandemic on increasing test capacity via the optimal allocation of swabs and reagents to laboratories is processed by proposing an Integer Programming model in [3]. A mathematical program to model the aspect of establishing how many diagnostic tests the regions (in Italy) have to perform to maximize the overall disease detection capability is proposed in [4].…”

Section: Previous Workmentioning

confidence: 99%

Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020

Crnogorac

Grbić

Dukanovic

et al. 2021

2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH)

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The coronavirus COVID-19 has been affected all the countries and territories in 2020. In this study we cluster European countries according to the cumulative relative number of European COVID-19 patients. The clustering is based on publicly available data published at European Centre for Disease Prevention and Control website and performed by three clustering methods: K-means, agglomerative and BIRCH clustering. Clustering performance, evaluated by Silhouette Coefficient value, shows satisfying accuracy of the obtained clusters. The results presented in this study can be useful to public health officers and practitioners to easier deal with COVID-19 challenges.

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Section: Previous Workmentioning

confidence: 99%

Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020

Crnogorac

Grbić

Dukanovic

et al. 2021

2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH)

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show abstract

“…In fact, governments should set up massive test programs, testing often and quickly to contain new virus clusters. Santini, who is a member and also one of the founders of AIROYoung, analysed the bottleneck problem of reagents availability, in order to check swabs with samples of saliva from tested people [7]. He showed how allocating reagents to laboratories and cross-regional collaborations can be optimized to increase the laboratories capacity.…”

Section: Emerging Cities: or And The Metropolis Of Covid-19mentioning

confidence: 99%

Becoming Visible: Why We Should be Better Communicators Now

Raffaele

2021

SN Oper. Res. Forum

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Several Operations Research (OR) applications have been presented at the 4 th AIROYoung Workshop in Bozen (February 5-7, 2020). We start this essay by reporting the main research topics studied and discussed nowadays by young OR researchers. Once again, these have shown the potential and the effect of exploiting applied mathematics, in particular OR, to solve problems arising from reality. Indeed, speaking about the present, OR has been already contributing to fight the COVID-19 pandemic from its beginning, integrated with other techniques to forecast and simulate future scenarios. For instance, OR can help decide how to optimally allocate resources and how to manage the supply chain of food, medical and essential items. We illustrate a few examples of the efforts done to tackle several aspects of the COVID-19 pandemic. Given its strong impact and wide applicability, we wonder about the visibility problem of OR: why is it still unknown to people and has not become a buzzword such as the terms "machine learning" or "artificial intelligence"? And, still, what does it mean to "become visible"? We compare some search terms with Google Trends and report several opinions on this topic. The main purpose of this essay is to refuel the discussion on OR communication to laypeople, by highlighting issues while considering different contexts. Starting from our young community itself, we would like to encourage researchers to take action to make OR more visible.

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“…Recently, the rapid outbreak of the coronavirus has attracted increasing attentions from researchers to apply mathematical techniques for solving resource allocation problems in healthcare system. Different mathematical models are constructed by [ 19 , 20 , 21 , 22 , 23 , 24 , 25 ] to optimally allocate critical hospital supplies to treat COVID-19 patients. For instances, [ 22 , 23 ] considered an optimal allocation of ICU beds (intensive care unit beds) and personal protective equipment, respectively, under the scarcity of available resources.…”

Section: Introductionmentioning

confidence: 99%

“…A binary integer optimization model is developed to find the best allocation for ICU beds, considering candidate patients with suspected/confirmed COVID-19 [ 22 ]. Santini [ 24 ] proposed an Integer Programming formulation to maximize the number of tests a country can perform and validated their approach on both real-life data from Italy and synthetic instances. Jordan et al [ 26 ] provided a comprehensive review of optimization in the context of COVID-19 prediction and control.…”

Section: Introductionmentioning

confidence: 99%

Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling

et al. 2022

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Dengue fever is a mosquito-borne disease that has rapidly spread throughout the last few decades. Most preventive mechanisms to deal with the disease focus on the eradication of the vector mosquito and vaccination campaigns. However, appropriate mechanisms of response are indispensable to face the consequent events when an outbreak takes place. This study applied single and multiple objective linear programming models to optimize the allocation of patients and additional resources during an epidemic dengue fever outbreak, minimizing the summation of the distance travelled by all patients. An empirical study was set in Ciudad del Este, Paraguay. Data provided by a privately run health insurance cooperative was used to verify the applicability of the models in this study. The results can be used by analysts and decision makers to solve patient allocation problems for providing essential medical care during an epidemic dengue fever outbreak.

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Optimising the assignment of swabs and reagent for PCR testing during a viral epidemic

Cited by 20 publications

References 28 publications

Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020

Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020

Becoming Visible: Why We Should be Better Communicators Now

Solving Patient Allocation Problem during an Epidemic Dengue Fever Outbreak by Mathematical Modelling

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