Background And Aim: Rodents are ubiquitous animals that host ectoparasites and transmit zoonotic diseases. We conducted a cross-sectional study on the seasonal variation, period prevalence (Pp), and relative risk of ectoparasitic infestations in rodents collected in North Sinai, Egypt, from September 2019 to August 2020.
Materials And Methods: We captured 380 rodents during the study period. Rodents were euthanized to perform species identification, and 2930 external parasites were collected and identified using light microscopic examination with systemic keys depending on morphological characters.
Results: (brown rat), (white-bellied rat), (gray-bellied rat), and (house mouse) were captured at the highest frequencies during summer (n=186), followed by spring (n=84), fall (n=71), and winter (n=39), with a higher proportion of males captured in all seasons. Analysis of the infestation Pp revealed highly significant increases (p<0.01) in ectoparasites during the winter. Temperature, humidity, and dew point were significantly (p<0.01) correlated with the numbers of captured and infested rodents. Parasitological examinations showed the higher risks of flea (, , and ) and lice (, , , and ) infestations during winter and mite (, , , and ) infestations during summer.
Conclusion: We conclude that ectoparasitic infestation prevalence and risk varies with predominating macroclimatic conditions. Strict preventive and biosecurity measures should be applied to combat rodent-related problems.
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http://dx.doi.org/10.14202/vetworld.2021.2996-3006 | DOI Listing |
J Med Internet Res
January 2025
Department of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Background: The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet's role as a vital resource for seeking health information.
View Article and Find Full Text PDFJ Psychosoc Nurs Ment Health Serv
January 2025
Purpose: To assess the prevalence of mental illness among middle adolescents (aged 14 to 17 years) in Jeddah, Saudi Arabia.
Method: A quantitative, cross-sectional study was conducted among 483 students aged 14 to 17 years attending intermediate and secondary schools in Jeddah, Saudi Arabia. Participants were asked to complete the Arabic version of the self-reported Strengths and Difficulties Questionnaire (SDQ).
J Gen Intern Med
January 2025
Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA.
Background: Previous reports suggest patient and caregiver lack of awareness of dementia. Little is known about how this varies by ethnicity and how informal (family) caregiver burden is associated with knowing a dementia diagnosis.
Objective: To investigate whether participants with probable dementia were aware of a diagnosis provided by a physician and how this differed among Mexican American and non-Hispanic White participants; whether having a primary care physician was associated with dementia diagnosis unawareness; and the association of dementia diagnosis unawareness with caregiver burden.
Cardiovasc Drugs Ther
January 2025
Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Purpose: Doxorubicin (Dox) is a classic anthracycline chemotherapy drug with cause cumulative and dose-dependent cardiotoxicity. This study aimed to investigate the potential role and molecular mechanism of phenylacetylglutamine (PAGln), a novel gut microbiota metabolite, in Dox-induced cardiotoxicity (DIC).
Methods: DIC models were established in vivo and in vitro, and a series of experiments were performed to verify the cardioprotective effect of PAGln.
Aging Clin Exp Res
January 2025
Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, China.
Objective: This study aims to analyze adverse drug events (ADE) related to romosozumab from the second quarter of 2019 to the third quarter of 2023 from FAERS database.
Methods: The ADE data related to romosozumab from 2019 Q2 to 2023 Q3 were collected. After data normalization, four signal strength quantification algorithms were used: ROR (Reporting Odds Ratios), PRR (Proportional Reporting Ratios), BCPNN (Bayesian Confidence Propagation Neural Network), and EBGM (Empirical Bayesian Geometric Mean).
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