[HTML][HTML] Seasonal Patterns of Zoonotic Cutaneous Leishmaniasis Caused by L. major and Transmitted by Phlebotomus papatasi in the North Africa Region, a …

A Karmaoui, D Sereno, S El Jaafari, L Hajji - Microorganisms, 2022‏ - mdpi.com
Background: In North African countries, zoonotic cutaneous leishmaniasis (ZCL) is a
seasonal disease linked to Phlebotomus papatasi, Scopoli, 1786, the primary proven vector …

[PDF][PDF] Assessing the innovative skills and competencies required of construction management graduates

JO Toyin, MC Mewomo - … technology & management in construction: an …, 2023‏ - hrcak.srce.hr
Assessing the innovative skills and competencies required of construction management
graduates Page 1 Organization, Technology and Management in Construction 2023; 15: 90–106 …

Spatial prediction of human brucellosis susceptibility using an explainable optimized adaptive neuro fuzzy inference system

A Jafari, AA Alesheikh, I Zandi, A Lotfata - Acta Tropica, 2024‏ - Elsevier
Brucellosis, a zoonotic disease caused by Brucella bacteria, poses significant risks to
human, livestock, and wildlife health, alongside economic losses from livestock morbidity …

Epidemiological Aspects of Zoonotic Cutaneous Leishmaniasis (ZCL) in Iran, the Middle East, and Worldwide: A Comprehensive Systematic Review

H jamali, S Bokaie - medRxiv, 2024‏ - medrxiv.org
Introduction and objectives Zoonotic cutaneous leishmaniasis (ZCL) remains a significant
health problem, particularly in Iran, where 15.8 cases per 100,000 people were reported in …

Causal association between environmental variables and the excess cases of cutaneous leishmaniasis in Colombia: are we looking to the wrong side?

JD Gutiérrez, J Ávila-Jiménez… - International Journal of …, 2024‏ - Springer
Our main aim was to estimate and compare the effects of six environmental variables (air
temperature, soil temperature, rainfall, runoff, soil moisture, and the enhanced vegetation …

[HTML][HTML] Spatiotemporal surveillance of COVID-19 based on epidemiological features: evidence from Northeast Iran

M Tabasi, AA Alesheikh, E Babaie, J Hatamiafkoueieh - Sustainability, 2022‏ - mdpi.com
Spatiotemporal analysis of COVID-19 cases based on epidemiological characteristics leads
to more refined findings about health inequalities and better allocation of medical resources …

Nationwide spatiotemporal prediction of foot and mouth disease in Iran using machine learning (2008–2018)

M Nazari Ashani, AA Alesheikh, A Lotfata - Spatial Information Research, 2024‏ - Springer
Foot-and-mouth disease (FMD) is a highly contagious viral disease that affects cloven-
hoofed animals such as sheep, cattle, goats, and buffalo. It is recognized as one of the most …

[HTML][HTML] Spatial modeling of COVID-19 prevalence using adaptive neuro-fuzzy inference system

M Tabasi, AA Alesheikh, M Kalantari, E Babaie… - … International Journal of …, 2022‏ - mdpi.com
This study is dedicated to modeling the spatial variation in COVID-19 prevalence using the
adaptive neuro-fuzzy inference system (ANFIS) when dealing with nonlinear relationships …

Leishmaniasis in deployed military populations: A systematic review and meta-analysis

N Niba Rawlings, M Bailey, O Courtenay - medRxiv, 2024‏ - medrxiv.org
Leishmaniasis affects military personnel deployed to endemic areas following exposure to
sand flies infected with the protozoa Leishmania. This systematic review and meta-analysis …