Akoeugnigan Idelphonse Sode

ORCID: 0000-0002-8556-239X
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About
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Research Areas
  • Species Distribution and Climate Change
  • Ecology and Vegetation Dynamics Studies
  • African Botany and Ecology Studies
  • Wildlife Ecology and Conservation
  • Mosquito-borne diseases and control
  • Viral Infections and Vectors
  • Vector-borne infectious diseases
  • Spatial and Panel Data Analysis
  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance
  • Agriculture and Rural Development Research
  • Plant and animal studies
  • Machine Learning and Data Classification
  • Global Maternal and Child Health
  • Avian ecology and behavior
  • Malaria Research and Control

Université d'Abomey-Calavi
2015-2024

Université de Parakou
2017

Invasive plant species and climate change are among the biggest threats to ecological integrity of many ecosystems, including those protected areas. Effective management invasive plants requires information regarding their spatial distributions. Using maximum entropy, we modeled habitat suitability for an Chromolaena odorata under current future climatic conditions (HadGEM2‐ES MIROC5) in areas four West African countries (Benin, Côte d'Ivoire, Ghana, Togo). Under conditions, approximately...

10.1890/ehs15-0003.1 article EN cc-by Ecosystem health and sustainability 2015-08-01

L’objectif de cette étude est d’évaluer au Bénin l’efficacité du réseau des aires protégées dans la conservation habi- tats favorables et prioritaires certaines espèces ligneuses d’importance socio-éco- nomique. Il s’agit Afzelia africana, Anogeissus leiocarpa, Burkea Daniellia oliveri, Detarium microcarpum, Prosopis africana Khaya senegalensis. Les techniques basées sur le principe d’en- tropie maximale (Maxent) combinées avec les SIG ont été utilisées pour projeter habitats ces sept ;...

10.19182/bft2016.328.a31303 article FR cc-by-nd BOIS & FORETS DES TROPIQUES 2017-07-20

Abstract Background Despite a global decrease in malaria burden worldwide, remains major public health concern, especially Benin children, the most vulnerable group. A better understanding of malaria’s spatial and age-dependent characteristics can help provide durable disease control elimination. This study aimed to analyze distribution Plasmodium falciparum infection among children under five years age Benin, West Africa. Methods cross-sectional epidemiological clinical survey was conducted...

10.1186/s12889-022-14032-9 article EN cc-by BMC Public Health 2022-09-16

Background and Aim: Rhipicephalus microplus (Rm) is one of the most problematic livestock tick species in world.Its rapid propagation resistance to acaricides make it control difficult sub-region Benin particularly.The aim this work was check its presence wildlife confirm possible role reservoir may play parasite.This will help design more efficient strategy.Materials Methods: This study conducted from February March 2017 National Parks (Pendjari W Park) wildfowl's assembly selling point...

10.14202/vetworld.2018.845-851 article EN cc-by Veterinary World 2018-06-01

Understanding how countries’ socio-economic, environmental, health status, and climate factors have influenced the dynamics of COVID-19 is essential for public health, particularly in Africa. This study explored relationships between African cases deaths their clinical, variables. It compared performance Ordinary Least Square (OLS) regression, spatial lag model (SLM), error (SEM), conditional autoregressive (CAR) using statistics such as Akaike Information Criterion (AIC), Bayesian (BIC),...

10.3390/stats7040064 article EN cc-by Stats 2024-10-11

This study compares the performance of <i>CART</i>, <i>C5.0</i> and Random Forest (<i>RF</i>) algorithms. 25 continuous predictors factors were simulated using a population size 10,000. Based on this data, sample data generated by varying number predictors, proportion categorical versus size. The tree algorithms increases with variables, but for <i>RF</i>, it is highly greater than one <i>CART</i> <i>C5.0</i>....

10.16929/ajas/2023.1399.274 article EN African Journal of Applied Statistics 2023-01-01

Species distribution models have become tools of great importance in ecology since the advanced knowledge suitable habitat species is needed process world's biodiversity conservation. Models that use presence-only data are interests and widely used due to their easy access. However, these do not estimate accurately true spatial based solely on they account for biases induced by sampling techniques imperfect detection. To address this gap, Hierarchical integrated been recently introduced....

10.20944/preprints202104.0400.v1 preprint EN 2021-04-15
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