The co-circulation of two respiratory infections with similar symptoms in a population can significantly overburden a healthcare system by slowing the testing and treatment. The persistent emergence of contagious variants of SARS-CoV-2, along with imperfect vaccines and their waning protections, have increased the likelihood of new COVID-19 outbreaks taking place during a typical flu season. Here, we developed a mathematical model for the co-circulation dynamics of COVID-19 and influenza, under different scenarios of influenza vaccine coverage, COVID-19 vaccine booster coverage and efficacy, and testing capacity. We investigated the required minimal and optimal coverage of COVID-19 booster (third) and fourth doses, in conjunction with the influenza vaccine, to avoid the coincidence of infection peaks for both diseases in a single season. We show that the testing delay brought on by the high number of influenza cases impacts the dynamics of influenza and COVID-19 transmission. The earlier the peak of the flu season and the greater the number of infections with flu-like symptoms, the greater the risk of flu transmission, which slows down COVID-19 testing, resulting in the delay of complete isolation of patients with COVID-19 who have not been isolated before the clinical presentation of symptoms and have been continuing their normal daily activities. Furthermore, our simulations stress the importance of vaccine uptake for preventing infection, severe illness, and hospitalization at the individual level and for disease outbreak control at the population level to avoid putting strain on already weak and overwhelmed healthcare systems. As such, ensuring optimal vaccine coverage for COVID-19 and influenza to reduce the burden of these infections is paramount. We showed that by keeping the influenza vaccine coverage about 35% and increasing the coverage of booster or fourth dose of COVID-19 not only reduces the infections with COVID-19 but also can delay its peak time. If the influenza vaccine coverage is increased to 55%, unexpectedly, it increases the peak size of influenza infections slightly, while it reduces the peak size of COVID-19 as well as significantly delays the peaks of both of these diseases. Mask-wearing coupled with a moderate increase in the vaccine uptake may mitigate COVID-19 and prevent an influenza outbreak.

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In this study, a total of 209 individuals of leeches were collected from Al-Hindyia River / Babil Province. 116 individuals were identified as Erpobdella octaculata (Linnaeus, 1758), 50 individuals as Erpobdella punctata (Leidy,1870) and 43 individuals as Hemiclepsis marginata (Müller, 1774). Four samples were collected monthly during a period from February to June 2018. Some physical and chemical water properties were also examined, including air and water temperature, potential of hydrogen pH, Electrical Conductivity EC, Total Dissolved Solid TDS, Dissolved Oxygen DO, and the Biological Oxygen Demand BOD₅. Air and water temperature were ranged 19.5-29, & 14.6-23.2 °C respectively. The values of pH ranged 6.2-7.6. EC ranged 1104-1581 μs/cm². The TDS recorded 669-767 mg/l, while the DO reached 1.3-8.5 mg / l, the BOD₅ ranged 3.5-5.7 mg/l.

Background: Infertility is considered one of the main public health issues, as it affects about 15% of the couples of reproductive age. The male factor is involved in 40%-50% of infertility cases. It is difficult to assess accurately the overall magnitude of the contribution of genetics to infertility as most, if not all, conditions are likely to have a genetic component. The genetic causes of infertility are varied and include chromosomal abnormalities, single gene disorders and phenotypes with multifactorial inheritance. Some genetic factors influence males specifically, whereas others affect both males and females. Frequently, however, in the clinic no clear cause for the observed infertility could be diagnosed which at least in part, it reflects our still poor understanding of the basic mechanisms that regulating and controlling the genetic networks of male infertility. Objective: To study the molecular identification of Azoospermic infertile patients by the gene sequencing of NR5A1. Subjects, Materials and Methods: A study carried out during the period from November 2014 to June 2015. Fifty specimens were collected from thirty azoospermic patients and twenty normal healthy subjects (normozoospermic subjects) as control their age ranged between 23 and 48 years old, the seminal fluid of cases indicated that liquefaction time, color and viscosity equal in normozoospermic subjects (control group) and patient group while there is significant difference P≥0.05 in sperm count reach to more than 20 million and motility reach to more than > 25% in control subjects while there is no sperm count found in azoospermic patients. Then blood was collected for hormonal assay, in azoospermic patients the results revealed a gradual decrease in serum testosterone levels with a concomitant increase in serum follicular stimulating hormone (FSH) level when compared with control subjects. NR5A1 gene were investigated in 30 samples of extracted DNA from azoospermic patients by using polymerase chain reaction (PCR) method it can directly detect the NR5A1 gene content after it had been molecularly identified then were sent