Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Secondary Multilevel Mixed-Effects Modelling of Seroprevalence Trends of Crimean–Congo Haemorrhagic Fever; [Modelisation Secondaire Multiniveau a Effets Mixtes De La Tendance De La Seroprevalence De La Fievre Hemorragique De Crimee-Congo] Publisher Pubmed



Ahmadi SAY1 ; Baghi MS2 ; Shirzadegan R3 ; Nasirian H4, 5
Authors
Show Affiliations
Authors Affiliations
  1. 1. Preventive Medicine and Public Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
  2. 2. Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
  3. 3. Nursing Department, Doroud Branch, Islamic Azad University, Doroud, Iran
  4. 4. Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran

Source: Eastern Mediterranean Health Journal Published:2024


Abstract

Background: Some review papers and meta-analyses have investigated seroprevalence and fatality trends of the Crimean-Congo hemorrhagic fever (CCHF), but it is not clear if its seroprevalence is increasing. Aim: To investigate the trend in the seroprevalence of CCHF. Methods: We conducted a secondary analysis of the results of a meta-analysis of the seroprevalence of CCHF published in 2019. We used a multilevel mixed effects Poisson regression to find the predictors of seropositivity. To explain the magnitude effect, we reported an incidence rate ratio (IRR) with a 95% confidence interval (CI). We conducted multilevel modeling using Stata 14 for data analysis. Results: In the fixed effects model, time was significantly associated with increased seropositivity (IRR = 1.025, 95% CI = 1.021–1.030), and no significant association was found for local sampling (IRR = 1.026, 95% CI = 0.988–1.065). In the mixed effects model, random intercepts of the country and parallel of latitude were applied as 3 levels of the model (prevalence rate of each study, nested within countries and latitude parallel). Accordingly, time was significantly associated with a reduction of seropositivity (IRR = 0.899, 95% CI = 0.891–0.907), and local sampling was significantly associated with increased seropositivity (IRR = 2.477, 95% CI = 2.316–2.649). Conclusion: Despite reporting increasing trends for seroprevalence of CCHF in previous reviews and the fixed effects model of the present study, the secondary mixed effects modeling showed a decreasing trend. The multilevel generalized model is recommended for such temporal and spatial designs in the future. © 2024, World Health Organization. All rights reserved.
Experts (# of related papers)
Other Related Docs
11. Emerging and Re-Emerging Infectious Diseases in Iran, Iranian Journal of Microbiology (2017)
12. Monitoring of Hard Tick Parasitism in Domestic Ruminants: A Scale Evidence for Policymakers, Veterinary Parasitology: Regional Studies and Reports (2023)