1. Digital Repository-Abdel Hafid Boussouf University Center of Mila
2. Master's
3. Natural and life sciences

Title:	Epidemiological study of human giardiasis at the level from the Mila region correlation with parameters weather
Authors:	Amal, Bachouche,Hioul Ghadir
Keywords:	Giardiase, épidémiologie, infection, prévalence, corrélation, paramètres météorologiques, Mila. Giardiasis, epidemiology, infection, prevalence, correlation, meteorological parameters, Mila.
Issue Date:	Jun-2024
Publisher:	university centre of abdelhafid boussouf -mila-
Citation:	Spécialité: Protection Des Ecosystéme
Description:	This study aimed to investigate the correlation between the epidemiology of giardiasis and weather parameters in the Mila region over the past ten years. Data on giardiasis infection rates were collected from four hospitals across the region: "Maghlaoui Brothers – Mila," "Mohamed Meddahi - Ferdijoua," "Boukhachem Brothers – Oudi El Atmania," and "Houari Boumadiene – Chelghoum El Aid," involving a total of 11433 individuals screened, with 138 testing positive, resulting in an infection rate of (1,20%). Among the positive cases, (62,32%) were males, and the most affected age group was 20-44 years. Monthly infection rates peaked in May at (14,49%), with annual peaks observed in 2013 and 2014, showing rates of (1,62%) and (2,00%), respectively. Seasonal patterns revealed higher infection rates during spring (35,50%) and autumn (28,98%). Regionally, the highest number of cases was recorded in Mila (53,62%), while Ferdjioua had the highest infestation rate at (2,95%). Detailed analysis showed significant monthly and seasonal variations, with specific peaks in May, March, and November, and notable increases during autumn and spring. Annual trends indicated fluctuating infection rates across the regions over the decade. A supplementary three-month study in early 2024 at Maghlaoui Brothers hospital in Mila confirmed these retrospective trends. Meteorological data sourced from the Ain Tin station formed the basis of our analysis, statistical analysis using SPSS and R software revealed significant correlations between giardiasis distribution and weather parameters, specifically, a positive correlation was identified between giardiasis prevalence and temperature and sunduration, while a negative correlation was found with precipitation, humidity, and wind speed. An investigation was conducted to identify potential sources of contamination through water sampling at three distinct sites within the Beni Haroun Dam area: The Dike, Médious, and Boudmaghe, respectively. The parasite was detected specifically in the Boudmaghe locality, indicating a presence in the region. Geospatial analysis and visualization using QGIS facilitated the creation of detailed maps showing sampling points. This approach enabled the generation of graphical representations illustrating statistical analyses, infestation levels, and prevalence rates across distinct regions within the state. These efforts provided a comprehensive overview of spatial variation, offering valuable insights into the geographic distribution and intensity of the parasitic disease. The statistical analysis of prevalence rates provides a quantitative foundation for assessing disease burden and informing proactive public health strategies, reinforcing the importance of ongoing surveillance and intervention efforts to ensure safe water sources and minimize health risks in the population. Specifically, the detection of Giardia parasites in the Boudmaghe locality underscores the critical role of environmental surveillance in understanding and mitigating waterborne diseases.These insights emphasize the urgent need for robust water quality monitoring programs and targeted public health interventions to safeguard community health against the transmission of giardiasis and related infections.
URI:	http://dspace.centre-univ-mila.dz/jspui/handle/123456789/3822
Appears in Collections:	Natural and life sciences

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