News

I am 𝗚𝗿𝗮𝗰𝗶𝗮 𝗗𝗼𝗿𝗰𝗮𝘀 𝗭𝗢𝗨𝗡𝗚𝗟𝗔 , from Benin. I am currently a Master’s 2 student in Statistics, specializing in 𝗕𝗶𝗼𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 at the 𝗟𝗔𝗕𝗘𝗙, 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝗔𝗯𝗼𝗺𝗲𝘆-𝗖𝗮𝗹𝗮𝘃𝗶.

I have chosen to pursue my studies at the 𝗟𝗔𝗕𝗘𝗙, particularly in the field of Biostatistics because of my strong interest in the application of statistical methods to public health issues. This training will equip me with the analytical tools needed to generate reliable evidence for health research and policy.

My career objective is to work in national and international institutions, contributing to informed decision-making in the health sector through data-driven analysis.

In addition, the fact that English is the official language of instruction and communication at the LABEF is a major advantage, making the LABEF, a benchmark 𝗟𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘆 in a French speaking country. That great linguistic asset will definitely enable me to operate effectively in international professional and research environments.

My research work will focus on the following topic:

" 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗮𝗻𝘁𝘀 𝗼𝗳 𝗮𝗻𝘁𝗶𝗺𝗮𝗹𝗮𝗿𝗶𝗮𝗹 𝗱𝗿𝘂𝗴 𝗿𝗲𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 𝗶𝗻 𝗕𝗲𝗻𝗶𝗻 𝗮𝘀𝘀𝗼𝗰𝗶𝗮𝘁𝗲𝗱 𝘄𝗶𝘁𝗵 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝗮𝗹 𝗮𝗻𝗱 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗰𝗵𝗮𝗿𝗮𝗰𝘁𝗲𝗿𝗶𝘀𝘁𝗶𝗰𝘀 𝗳𝗮𝗰𝘁𝗼𝗿𝘀, 𝗮𝘀 𝘄𝗲𝗹𝗹 𝗮𝘀 𝗱𝗿𝘂𝗴 𝗽𝗿𝗲𝘀𝗰𝗿𝗶𝗯𝗶𝗻𝗴 𝗮𝗻𝗱 𝘂𝘀𝗲 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: 𝗮𝗻 𝗠𝗟-𝗦𝗘𝗠 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵."

I would like to express my deep appreciation to the Director of the LABEF, 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 𝗚𝗟𝗘̀𝗟𝗘̀ 𝗞𝗔𝗞𝗔𝗜̈, for his visionary leadership, innovative initiatives and steadfast dedication to academic excellence, which continue to inspire students and strengthen the academic reputation of the LABEF.

𝗟𝗼𝗻𝗴 𝗹𝗶𝘃𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗟𝗔𝗕𝗘𝗙!

The 𝗟𝗔𝗕𝗘𝗙 continues to expand its global scientific footprint.
We are proud to spotlight𝗠𝗲𝗿𝘃𝗲𝗶𝗹𝗹𝗲 𝗦𝗰𝗵𝗼𝗹𝗮𝘀𝘁𝗶𝗾𝘂𝗲 𝗘𝗦𝗦𝗘𝗧𝗖𝗛𝗘𝗢𝗨, currently on a scientific journey in the United Kingdom, an experience that goes beyond mobility to foster collaboration, innovation, and academic excellence.

As a PhD candidate in 𝗕𝗶𝗼𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀, my research explores causal modelling of malaria transmission in West Africa, using advanced approaches such as Structural Equation Modelling (SEM).

My work aims to better understand the complex interactions between environmental, socio-economic, and individual factors, providing evidence-based insights to strengthen public health strategies.

Key contributions:
• Advancing causal modelling in epidemiology
• Developing Bayesian SEM frameworks
• Exploring drivers of malaria transmission and drug resistance

This journey is also a reflection of strong mentorship and support. Special thanks to the 𝗦𝗦𝗔𝗖𝗔𝗕 programme, 𝗥𝗼𝗺𝗮𝗶𝗻 𝗟𝘂𝗰𝗮𝘀 𝗚𝗹𝗲̀𝗹𝗲̀ 𝗞𝗮𝗸𝗮𝗶̈, and Dr. 𝗦𝗮𝗹𝗮𝗸𝗼 𝗞. 𝗩𝗮𝗹𝗲̀𝗿𝗲.
I am also deeply grateful to Doctors 𝗦𝘂𝗮𝗻𝗱 𝗮𝗻𝗱 𝗣𝗲𝗮𝗰𝗲 , whose generosity of spirit and enlightened scientific mentorship have greatly shaped and enriched my scientific journey at the Labef.

At the 𝗟𝗔𝗕𝗘𝗙 we do not just produce research; we build bridges between continents, ideas, and generations.

hashtag#LABEF hashtag#Research hashtag#Biostatistics hashtag#GlobalHealth hashtag#Malaria hashtag#ScienceWithoutBorders hashtag#PhDJourney hashtag#AfricaToTheWorld 

𝗦𝘁𝗮𝘆 𝘂𝗽𝗱𝗮𝘁𝗲𝗱!

𝗪𝗵𝗮𝘁 𝗶𝗳 𝗱𝗮𝘁𝗮 𝗯𝗲𝗰𝗮𝗺𝗲 𝘁𝗵𝗲 𝗸𝗲𝘆 𝘁𝗼 𝗳𝗲𝗲𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲?

In a world where climate change is reshaping the rules of agriculture, one critical question arises:

𝗖𝗮𝗻 𝘄𝗲 𝘁𝗿𝘂𝗹𝘆 𝗽𝗿𝗲𝗱𝗶𝗰𝘁 𝗰𝗿𝗼𝗽 𝘆𝗶𝗲𝗹𝗱𝘀 𝘄𝗶𝘁𝗵 𝗮𝗰𝗰𝘂𝗿𝗮𝗰𝘆?

The answer lies in a factor too often overlooked: "
𝗧𝗵𝗲 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗼𝗳 𝗱𝗮𝘁𝗮."

Join us to discover how Machine Learning is transforming agriculture in Benin and beyond.

#SmartAgriculture #MachineLearning #DataScience #ClimateChange #Benin #Innovation

𝗧𝗵𝗲 𝗟𝗮𝗯𝗲𝗳 𝗰𝗼𝗿𝗱𝗶𝗮𝗹𝗹𝘆 𝗲𝘅𝘁𝗲𝗻𝗱𝘀 𝗶𝘁𝘀 𝗱𝗶𝘀𝘁𝗶𝗻𝗴𝘂𝗶𝘀𝗵𝗲𝗱 𝗶𝗻𝘃𝗶𝘁𝗮𝘁𝗶𝗼𝗻.

My name is 𝗘𝗽𝗵𝗿𝗲𝗺 𝗔𝗯𝗿𝗮𝗵𝗮𝗺, and I am from 𝗘𝘁𝗵𝗶𝗼𝗽𝗶𝗮.

I am currently a Master’s 2 student in Statistics specializing in 𝗕𝗶𝗼𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 at the 𝗟𝗔𝗕𝗘𝗙.

I have chosen to pursue my studies at the 𝗟𝗔𝗕𝗘𝗙, where English is the official language of instruction and communication, particularly in the field of Biostatistics, in line with my academic interests and long-term career goals in public health and data science.

My research work will focus on the following topic:

“𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗿𝗮𝗯𝗶𝗲𝘀 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗮𝗻𝗱 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗽𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗶𝗻 𝗮𝗻𝗱 𝗮𝗿𝗼𝘂𝗻𝗱 𝗗𝗲𝗯𝗮𝗿𝗸 𝘁𝗼𝘄𝗻, 𝗘𝘁𝗵𝗶𝗼𝗽𝗶𝗮: 𝗔 𝗢𝗻𝗲 𝗛𝗲𝗮𝗹𝘁𝗵 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝘂𝗱𝘆”

I would like to express my sincere appreciation to the Director of the LABEF, Professor 𝗥𝗼𝗺𝗮𝗶𝗻 𝗚𝗹𝗲̀𝗹𝗲̀ 𝗞𝗮𝗸𝗮𝗶̈ , and his team for their guidance and academic support.

I also extend my heartfelt gratitude to 𝗗𝗔𝗔𝗗 (𝗚𝗲𝗿𝗺𝗮𝗻 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲 𝗦𝗲𝗿𝘃𝗶𝗰𝗲) for their generous financial support, which has made my studies possible.

𝗦𝘁𝗮𝘆 𝘁𝘂𝗻𝗲𝗱 𝗳𝗼𝗿 𝘂𝗽𝗱𝗮𝘁𝗲!

I am 𝗜𝘀𝘀𝗶𝗳𝗼𝘂 𝗕𝗜𝗬𝗔𝗚𝗨𝗜, from 𝗧𝗼𝗴𝗼 . I am a 𝗗𝗔𝗔𝗗 scholarship holder and PhD candidate in Biometry at the 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗼𝗳 𝗔𝗯𝗼𝗺𝗲𝘆-𝗖𝗮𝗹𝗮𝘃𝗶. My doctoral thesis, funded by the 𝗗𝗔𝗔𝗗, is entitled :

''𝗙𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗹-𝗼𝗿𝗱𝗲𝗿 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀 𝘁𝗼 𝗽𝗮𝗻𝗱𝗲𝗺𝗶𝗰 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴: 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝗖𝗢𝗩𝗜𝗗-𝟭𝟵 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀.''

In my research, I focus on fractional-order approaches to pandemic modeling, particularly coinfection dynamics. The aim of my project is to develop and analyze fractional-order coinfection models that incorporate delayed transmission and lockdown strategies, using 𝗖𝗢𝗩𝗜𝗗-𝟭𝟵 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 as a case study.

This work combines systematic review, mathematical modeling, and real-data validation with secondary data from Benin and Togo.

My contributions include:

• Producing a systematic review of fractional-order models in infectious disease dynamics, following PRISMA guidelines and identifying research gaps in Africa;

• Developing a fractional-order COVID-19 model with asymptomatic transmission, solved using the Homotopy Perturbation Method (HPM);

• Formulating an integro-differential coinfection model with time-delayed transmission and lockdown strategies;

• Validating an Atangana–Baleanu fractional-order coinfection model with real data from Benin and Togo.

Through this work, I aim to provide reliable forecasting tools for epidemic response, offering deeper insights into memory effects and transmission dynamics, and supporting public health authorities and policymakers in West Africa.

I am sincerely grateful to the 𝗗𝗔𝗔𝗗, (German Academic Exchange Service) for funding my doctoral scholarship and research project. I also extend my gratitude to my main supervisor, Prof. Dr. Ir.𝗥𝗼𝗺𝗮𝗶𝗻 𝗟𝘂𝗰𝗮𝘀 𝗚𝗹𝗲̀𝗹𝗲̀ 𝗞𝗮𝗸𝗮𝗶̈, for his rigorous guidance and encouragement, and to my co-supervisors, Dr (MC). 𝗞𝗼𝗳𝗳𝗶 𝗪𝗶𝗹𝗳𝗿𝗶𝗱 𝗛𝗼𝘂𝗲́𝗱𝗮𝗻𝗼𝘂 and 𝗗𝗿 (𝗠𝗖). 𝗧𝗰𝗵𝗶𝗹𝗮𝗯𝗮𝗹𝗼 𝗔𝗯𝗼𝘇𝗼𝘂 𝗞𝗽𝗮𝗻𝘇𝗼𝘂, for their invaluable insights and support.

#LABEF #UAC #PhD #Biometry #DAAD #Scholarship #Research #Togo #Benin #WestAfrica #COVID19 #PandemicModeling #MathematicalModeling #PublicHealth #Epidemiology #ScientificResearch #AcademicExcellence #Innovation #STEM #LABEFPride

𝗦𝘁𝗮𝘆 𝘁𝘂𝗻𝗲𝗱 𝗳𝗼𝗿 𝘂𝗽𝗱𝗮𝘁𝗲!