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Article ; Online: A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19.

Mohamadou, Youssoufa / Halidou, Aminou / Kapen, Pascalin Tiam

Applied intelligence (Dordrecht, Netherlands)

2020 Volume 50, Issue 11, Page(s) 3913–3925

Abstract: In the past few months, several works were published in regards to the dynamics and early detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of this work is to provide the research community with comprehensive ... ...

Abstract	In the past few months, several works were published in regards to the dynamics and early detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of this work is to provide the research community with comprehensive overview of the methods used in these studies as well as a compendium of available open source datasets in regards to COVID-19. In all, 61 journal articles, reports, fact sheets, and websites dealing with COVID-19 were studied and reviewed. It was found that most mathematical modeling done were based on the Susceptible-Exposed-Infected-Removed (SEIR) and Susceptible-infected-recovered (SIR) models while most of the AI implementations were Convolutional Neural Network (CNN) on X-ray and CT images. In terms of available datasets, they include aggregated case reports, medical images, management strategies, healthcare workforce, demography, and mobility during the outbreak. Both Mathematical modeling and AI have both shown to be reliable tools in the fight against this pandemic. Several datasets concerning the COVID-19 have also been collected and shared open source. However, much work is needed to be done in the diversification of the datasets. Other AI and modeling applications in healthcare should be explored in regards to this COVID-19.
Language	English
Publishing date	2020-07-06
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1479519-X
ISSN	1573-7497 ; 0924-669X
ISSN (online)	1573-7497
ISSN	0924-669X
DOI	10.1007/s10489-020-01770-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

Mohamadou, Youssoufa / Halidou, Aminou / Kapen, Pascalin Tiam

Applied Intelligence

2020 Volume 50, Issue 11, Page(s) 3913–3925

Keywords	Artificial Intelligence ; covid19
Language	English
Publisher	Springer Science and Business Media LLC
Publishing country	us
Document type	Article ; Online
ZDB-ID	1479519-X
ISSN	1573-7497 ; 0924-669X
ISSN (online)	1573-7497
ISSN	0924-669X
DOI	10.1007/s10489-020-01770-9
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A multi-function neonatal incubator for low-income countries: Implementation and ab initio social impact.

Tiam Kapen, Pascalin / Youssoufa, Mohamadou / Foutse, Momo / Dongmeza Koudjou, Jauspin / Mkankam Kamga, François de Paul

Medical engineering & physics

2020 Volume 77, Page(s) 114–117

Abstract: The World health Organization estimates that about 8 million babies die prematurely worldwide. Most of these cases are found in low-income countries (LICs). The use of neonatal incubators has proven to be very useful in the reduction of infant mortality. ...

Abstract	The World health Organization estimates that about 8 million babies die prematurely worldwide. Most of these cases are found in low-income countries (LICs). The use of neonatal incubators has proven to be very useful in the reduction of infant mortality. However, access to this important medical device is not always easy in LICs. This article presents the implementation of a multi-function neonatal incubator with remote monitoring, fingerprint scanner, phototherapy, and heart rate monitoring. In this view, proportional integral (PI) control algorithm and an Android application were developed. Furthermore, an initial social impact of the implemented neonatal incubator usage was performed in some hospitals in Cameroon.
MeSH term(s)	Developing Countries/statistics & numerical data ; Hospitals/statistics & numerical data ; Humans ; Incubators, Infant/statistics & numerical data ; Infant, Newborn ; Social Change ; Surveys and Questionnaires
Language	English
Publishing date	2020-01-11
Publishing country	England
Document type	Journal Article
ZDB-ID	1181080-4
ISSN	1873-4030 ; 1350-4533
ISSN (online)	1873-4030
ISSN	1350-4533
DOI	10.1016/j.medengphy.2019.10.021
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Article: A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19

Mohamadou, Youssoufa / Halidou, Aminou / Kapen, Pascalin Tiam

Appl Intell

Abstract	In the past few months, several works were published in regards to the dynamics and early detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of this work is to provide the research community with comprehensive overview of the methods used in these studies as well as a compendium of available open source datasets in regards to COVID-19. In all, 61 journal articles, reports, fact sheets, and websites dealing with COVID-19 were studied and reviewed. It was found that most mathematical modeling done were based on the Susceptible-Exposed-Infected-Removed (SEIR) and Susceptible-infected-recovered (SIR) models while most of the AI implementations were Convolutional Neural Network (CNN) on X-ray and CT images. In terms of available datasets, they include aggregated case reports, medical images, management strategies, healthcare workforce, demography, and mobility during the outbreak. Both Mathematical modeling and AI have both shown to be reliable tools in the fight against this pandemic. Several datasets concerning the COVID-19 have also been collected and shared open source. However, much work is needed to be done in the diversification of the datasets. Other AI and modeling applications in healthcare should be explored in regards to this COVID-19.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #632020
Database	COVID19

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Article ; Online: Design and prototyping of a low-cost, energy efficient eggs incubator in developing countries

Pascalin Tiam Kapen / Mohamadou Youssoufa / Momo Foutse / Harold Manfouo / Franck Oscar Njotchui Mbakop

Scientific African, Vol 10, Iss , Pp e00618- (2020)

A case study of Cameroon

2020

Abstract: Farming in general and poultry in particular is a back bone to Africa's development and self-sufficient in term of food. However, in a country like Cameroon, traditional poultry accounts for more than 70%. Due to this situation, more than 43% of newly ... ...

Abstract	Farming in general and poultry in particular is a back bone to Africa's development and self-sufficient in term of food. However, in a country like Cameroon, traditional poultry accounts for more than 70%. Due to this situation, more than 43% of newly hatched chicks do not survive thereby causing a lot of loss both financially and in terms of availability of chicken as food. This paper aims to bring a solution to this problem. The paper deals with the prototyping of an energy efficient eggs incubator in view of providing a solution to the poultry sector in developing countries. The system hardware is composed of an enclosure, mechanical and electronic parts. The enclosure is made of plywood, aluminum and glass wool in order to minimize the heat loss across the multi-layered wall. The mechanical part comprises of electronically controlled mechanical jacks. The electronic module is constituted of a temperature and humidity generator and measurement circuits, a control circuit, a communication module and a microcontroller in charge of monitoring and controlling the operation of the system. Using Proportional-Integral-Derivative (PID) controller, the mathematical modeling of heat transfer permitted the optimization of energy efficiency of the system. The system has a capacity of 600 eggs. The eggs were incubated at a temperature of 37.5°C and a humidity of 45.5% after a preheating stage of 30 min. The developed incubator system gave a hatching rate of 87.27%.
Keywords	Low-cost eggs incubator ; Temperature and humidity regulation ; Poultry sector ; Multi-layered wall ; Heat transfer ; Science ; Q
Subject code	670
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An automatic multipoint inoculator for the determination of minimum inhibitory concentrations (MICs) of antibiotics in low-income countries: a technical note.

Tiam Kapen, Pascalin / Fotsing Kwetche, Pierre René / Youssoufa, Mohamadou / Kayo Mbomda, Wilfried Camille / Ketchogue, Romaric Martial / Ganwo Dongmo, Sandrine

Australasian physical & engineering sciences in medicine

2019 Volume 42, Issue 4, Page(s) 905–912

Abstract: Multipoint inoculator is a laboratory equipment that is used to inoculate with a very high precision a certain number of microorganisms in culture media, in order to determine the minimum inhibitory concentrations (MICs) of antibiotics that would inhibit ...

Abstract	Multipoint inoculator is a laboratory equipment that is used to inoculate with a very high precision a certain number of microorganisms in culture media, in order to determine the minimum inhibitory concentrations (MICs) of antibiotics that would inhibit microbial growth. MICs values are crucial in the control of microbial drug-susceptibility profile for effective infectious disease control and microbial resistance stewardship. The complexity of multipoint inoculator makes it very rare or almost non-existent in developing countries laboratories. In this paper, a robust, precise and, above all, innovative automatic multipoint inoculator is developed. Otherwise, we have implemented double-sided plates with surface-mounted components. These components of Nano-electronics have the advantage that the electrical circuits do no longer have to be drilled, the components can be placed on both sides of the board, and the parasitic electrical inductances are reduced. The equipment enclosure in plexiglas facilitates its sterilization. The device carries Petri dishes that contain culture media, opens them and performs inoculation. It then closes and stores the preparations that are ready for incubation at optimal growth conditions. The present device inoculates at a given concentration of an antibiotic 21 microorganisms simultaneously.
MeSH term(s)	Anti-Bacterial Agents/analysis ; Automation ; Culture Media/chemistry ; Developing Countries ; Income ; Microbial Sensitivity Tests/instrumentation
Chemical Substances	Anti-Bacterial Agents ; Culture Media
Language	English
Publishing date	2019-10-28
Publishing country	Netherlands
Document type	Letter
ZDB-ID	46226-3
ISSN	1879-5447 ; 0158-9938
ISSN (online)	1879-5447
ISSN	0158-9938
DOI	10.1007/s13246-019-00812-y
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Article ; Online: Fonio and Bambara Groundnut Value Chains in Mali

Charlie Mbosso / Basile Boulay / Stefano Padulosi / Gennifer Meldrum / Youssoufa Mohamadou / Aminata Berthe Niang / Harouna Coulibaly / Yara Koreissi / Amadou Sidibé

Sustainability, Vol 12, Iss 4766, p

Issues, Needs, and Opportunities for Their Sustainable Promotion

2020 Volume 4766

Abstract: As the effects of climate change are severely straining West African agricultural systems, the adoption of more incisive interventions in support of sustainable development agendas for the region is highly critical and cannot be further delayed by ... ...

Abstract	As the effects of climate change are severely straining West African agricultural systems, the adoption of more incisive interventions in support of sustainable development agendas for the region is highly critical and cannot be further delayed by governments. Neglected and underutilized species (NUS) are one important ally in pursuing resilience in both production and food systems because of their promising traits in terms of nutrition, adaptation to local agroecosystems, and economic potential for local populations. Focusing on fonio, a gluten-free traditional cereal, and Bambara groundnut, a protein-rich leguminous crop, we investigate issues in their production, commercialization, and consumption in southern Mali. The aim was to assess needs and opportunities for improving their value chains and increasing their use and societal benefits. Using a Rapid Market Appraisal method, we surveyed traders, producers, processors, and consumers of target crops in 2017 and 2018. Our findings indicate that while both crops are consumed and praised by local populations, critical bottlenecks inhibit their wider socioeconomic potential. Lack of access to inputs and equipment and presence of sand in the commercialized product are important issues for fonio, whereas the Bambara groundnut value chain suffers from poor processing facilities and lack of market promotion. Policy recommendations to tackle the identified bottlenecks are proposed.
Keywords	Mali ; sustainable agriculture ; fonio ; Bambara groundnut ; underutilized crops ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Fonio and Bambara Groundnut value chains in Mali

Mbosso, Charlie / Boulay, Basile / Padulosi, Stefano / Meldrum, Gennifer / Mohamadou, Youssoufa / Berthe Niang, Aminata / Coulibaly, Harouna / Koreissi, Yara / Sidibé, Amadou

Sustainability

issues, needs, and opportunities for their sustainable promotion

2020

Abstract	As the effects of climate change are severely straining West African agricultural systems, the adoption of more incisive interventions in support of sustainable development agendas for the region is highly critical and cannot be further delayed by governments. Neglected and underutilized species (NUS) are one important ally in pursuing resilience in both production and food systems because of their promising traits in terms of nutrition, adaptation to local agroecosystems, and economic potential for local populations. Focusing on fonio, a gluten-free traditional cereal, and Bambara groundnut, a protein-rich leguminous crop, we investigate issues in their production, commercialization, and consumption in southern Mali. The aim was to assess needs and opportunities for improving their value chains and increasing their use and societal benefits. Using a Rapid Market Appraisal method, we surveyed traders, producers, processors, and consumers of target crops in 2017 and 2018. Our findings indicate that while both crops are consumed and praised by local populations, critical bottlenecks inhibit their wider socioeconomic potential. Lack of access to inputs and equipment and presence of sand in the commercialized product are important issues for fonio, whereas the Bambara groundnut value chain suffers from poor processing facilities and lack of market promotion. Policy recommendations to tackle the identified bottlenecks are proposed.
Keywords	sustainability ; underutilized species ; climate change ; sostenibilidad ; especie sedentarias ; cambio climático
Language	English
Publishing date	2020-07-31T08:05:11Z
Publisher	MDPI
Publishing country	fr
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Electrical impedance spectroscopy for electro-mechanical characterization of conductive fabrics.

Bera, Tushar Kanti / Mohamadou, Youssoufa / Lee, Kyounghun / Wi, Hun / Oh, Tong In / Woo, Eung Je / Soleimani, Manuchehr / Seo, Jin Keun

Sensors (Basel, Switzerland)

2014 Volume 14, Issue 6, Page(s) 9738–9754

Abstract: When we use a conductive fabric as a pressure sensor, it is necessary to quantitatively understand its electromechanical property related with the applied pressure. We investigated electromechanical properties of three different conductive fabrics using ... ...

Abstract	When we use a conductive fabric as a pressure sensor, it is necessary to quantitatively understand its electromechanical property related with the applied pressure. We investigated electromechanical properties of three different conductive fabrics using the electrical impedance spectroscopy (EIS). We found that their electrical impedance spectra depend not only on the electrical properties of the conductive yarns, but also on their weaving structures. When we apply a mechanical tension or compression, there occur structural deformations in the conductive fabrics altering their apparent electrical impedance spectra. For a stretchable conductive fabric, the impedance magnitude increased or decreased under tension or compression, respectively. For an almost non-stretchable conductive fabric, both tension and compression resulted in decreased impedance values since the applied tension failed to elongate the fabric. To measure both tension and compression separately, it is desirable to use a stretchable conductive fabric. For any conductive fabric chosen as a pressure-sensing material, its resistivity under no loading conditions must be carefully chosen since it determines a measurable range of the impedance values subject to different amounts of loadings. We suggest the EIS method to characterize the electromechanical property of a conductive fabric in designing a thin and flexible fabric pressure sensor.
MeSH term(s)	Computer Simulation ; Dielectric Spectroscopy/methods ; Electric Conductivity ; Equipment and Supplies ; Materials Testing ; Pressure
Language	English
Publishing date	2014-06-02
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s140609738
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Article ; Online: Electrical Impedance Spectroscopy for Electro-Mechanical Characterization of Conductive Fabrics

Tushar Kanti Bera / Youssoufa Mohamadou / Kyounghun Lee / Hun Wi / Tong In Oh / Eung Je Woo / Manuchehr Soleimani / Jin Keun Seo

Sensors, Vol 14, Iss 6, Pp 9738-

2014 Volume 9754

Abstract	When we use a conductive fabric as a pressure sensor, it is necessary to quantitatively understand its electromechanical property related with the applied pressure. We investigated electromechanical properties of three different conductive fabrics using the electrical impedance spectroscopy (EIS). We found that their electrical impedance spectra depend not only on the electrical properties of the conductive yarns, but also on their weaving structures. When we apply a mechanical tension or compression, there occur structural deformations in the conductive fabrics altering their apparent electrical impedance spectra. For a stretchable conductive fabric, the impedance magnitude increased or decreased under tension or compression, respectively. For an almost non-stretchable conductive fabric, both tension and compression resulted in decreased impedance values since the applied tension failed to elongate the fabric. To measure both tension and compression separately, it is desirable to use a stretchable conductive fabric. For any conductive fabric chosen as a pressure-sensing material, its resistivity under no loading conditions must be carefully chosen since it determines a measurable range of the impedance values subject to different amounts of loadings. We suggest the EIS method to characterize the electromechanical property of a conductive fabric in designing a thin and flexible fabric pressure sensor.
Keywords	electrical impedance spectroscopy (EIS) ; conductive fabric ; tension ; compression ; electromechanical property ; Technology (General) ; T1-995 ; Technology ; T ; Analytical chemistry ; QD71-142 ; Chemistry ; QD1-999 ; Science ; Q
Subject code	620
Language	English
Publishing date	2014-06-01T00:00:00Z
Publisher	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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