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Background and objective: A novel COVID-19 condition emerged in December 2019 and has held a dangerous prognosis. It started as an epidemic in China, particularly in Wuhan city. The ages of individuals prone to infection range from one-month-old to above 90 years. However, fewer cases were reported in kids and newborns. Peoples susceptible to infection are the aged, those taking immunosuppressive agents. Usually, Coronavirus holds flu symptoms, including fever (80-90%), dry cough (50%), and lethargy (20-40%); other symptoms include diarrhea. This survey intended to assess the impact of patients’ gender, age, and living circumstances on Coronavirus infection symptoms and evaluate a relationship amongst symptoms of patients with Coronavirus infection. Method: In the present survey, the authors have adopted a quantitative survey method, relying upon face-to-face personal interviews, to receive information from the internal hospital consultant in Iraq. The span of data collection was three weeks. One hundred patients were randomly engaged in this research. The study was carried on special closed topics regarding the patients’ demographic data (age and gender) and some common signs of COVID-19 “sore throat, fever, shortness of breath, headache, dry cough, wet cough, arthralgia, as well as diarrhea”. Results: A sum of 100 cases participated in this research. The reliability value was (0.733). The Chi-Square test revealed no statistically substantial connection between symptoms of Coronavirus among cases and the patients' demographics data (gender and age). Furthermore, the Chi-Square test explained that there was no statistically vital connection amongst symptoms of cases of Coronavirus (shortness of breath & Dry cough, Sore throat & Dry cough, fever & headache, shortness of breath & sore throat) (p > 0.05). Nonetheless, there was a statistically significant correlation amongst symptoms of cases of Coronavirus (sore throat & wet cough, fever & diarrhea, shortness of breath & wet cough) (p < 0.05). Conclusion: There was a negligible influence of the age of the patient on the sharpness of symptoms. Besides, the symptoms of Coronavirus in males were not remarkably different from those in females. Nevertheless, there was a notable association between fever and diarrhea, wet cough and shortness of breath, and wet cough and sore throat.

Objective: This work aims to estimate serum ferritin levels of the B-thalassemia major (BTM) patients in one of the Iraqi thalassemia centers and to evaluate its relationship with their retarded growth. Methods: this was a cross-sectional study that included 163-patients diagnosed with BTM, undergoing continuous red cells transfusion and chelation therapy. The patients' serum ferritin, height, weight, and body mass index (BMI) was measured. The patients were classified into three groups based on their growth states. All the qualitative parameters were displayed as numerical data and percentages, though the quantitative parameters had displayed as mean ± SD. The variations amongst the 3-groups were analyzed by ANOVA test. The regression fit curves between serum ferritin and growth variables were evaluated. The ROC was examined for ferritin value and growth failure. Ap Results: The mean age of the studied subjects were 12.6±3.5 years (range 3–19 years). The mean serum ferritin levels were 1812 ±1024.9 ng/mL, which showed a significant correlation with height, weight, and age. The mean height Z-score was -2.1±1.1, and 70% of the patients had growth failure (GF). The mean weight Z-score was -2.0 ±1.3. Both height and weight had a significant correlation with ferritin levels in BTM patients. ROC-curves revealed a sensitivity, specificity, and CI% of [72%,78% & (0.703-0.858)], respectively for predictability of serum ferritin for GF in BTM patients. Conclusion: In BTM patients, the overall incidence of GF (both mild and severe form) was more than 70%. The mean serum ferritin levels correlated significantly with the growth retardation of BTM patients.