Background Susceptibility to the pandemic coronavirus disease 2019 (COVID-19) has recently been associated with ABO blood groups in patients of different ethnicities. This study sought to understand the genetic association of this polymorphic system with risk of disease in Iraqi patients. Two outcomes of COVID-19, recovery and death, were also explored. ABO blood groups were determined in 300 hospitalized COVID-19 Iraqi patients (159 under therapy, 104 recovered, and 37 deceased) and 595 healthy blood donors. The detection kit for 2019 novel coronavirus (2019-nCoV) RNA (PCR-Fluorescence Probing) was used in the diagnosis of disease. Results Mean age was significantly increased in patients compared to controls (49.8 ± 11.7 vs. 28.9 ± 6.6 years; p < 0.001). A similar observation was made in recovered (42.1 ± 10.4 vs. 28.9 ± 6.6 years; p < 0.001) and deceased (53.6 ± 9.7 vs. 28.9 ± 6.6 years; p < 0.001) cases. The mean age was also significantly increased in deceased cases compared to recovered cases (53.6 ± 9.7 vs. 42.1 ± 10.4 years; p < 0.001). There were gender-dependent differences in COVID-19 prevalence. The percentage of COVID-19 was higher in males than in females (all cases: 59.7 vs. 40.3%; recovered cases: 55.8 vs. 44.2%). Such male-gender preponderance was more pronounced in deceased cases (67.6 vs. 32.4%). Logistic regression analysis revealed that groups AB and B + AB were significantly associated with increased risk to develop COVID-19 (OR = 3.10; 95% CI 1.59–6.05; pc = 0.007 and OR = 2.16; 95% CI 1.28–3.63; pc = 0.028, respectively). No ABO-associated risk was observed in recovered cases. On the contrary, groups A (OR = 14.60; 95% CI 2.85–74.88; pc = 0.007), AB (OR = 12.92; 95% CI 2.11–79.29; pc = 0.042), A + AB (OR = 14.67; 95% CI 2.98–72.33; pc = 0.007), and A + B + AB (OR = 9.67; 95% CI 2.02–46.24; pc = 0.035) were associated with increased risk of death in deceased cases. Conclusions The findings of this study suggest that group AB may be a susceptibility biomarker for COVID-19, while group A may be associated with increased risk of death.

A Coronavirus disease 2019 (COVID-19) pandemic detection considers a critical and challenging task for the medical practitioner. The coronavirus disease spread so rapidly between people and infected more than one hundred and seventy million people worldwide. For this reason, it is necessary to detect infected people with coronavirus and take action to prevent virus spread. In this study, a COVID-19 classification methodology was adopted to detect infected people using computed tomography (CT) images. Deep learning was applied to recognize COVID-19 infected cases for different patients by employing deep features. This methodology can be beneficial for medical practitioners to diagnose infected patients. The results were based on a new data collection named BasrahDataset that includes different CT scan videos for Iraqi patients. The proposed system gave promised results with a 99% F1-score for detecting COVID-19.

Coronavirus (COVID-19) pandemic detection considers a critical and challenging task for the doctors. The coronavirus disease spread so rapidly between people and infected roughly fourteen million people worldwide. For this reason, it is very much necessary to detect infected people with coronavirus and take the action to prevent of spread this virus. In this study, the COVID-19 classification methodology is adopted to detect the infected patient with coronavirus using CT images. The deep learning is applied to recognize the affected CT images of COVID-19 from others by employing the deep feature. This methodology can be beneficial for the medical practitioner to diagnosis the infected patient with coronavirus. The result is based on new data collections named BasrahDataset that included different CT scan video for Iraqi patients. The system gives promised results with 99% F1-score for detecting COVID-19.

A pots experiment under greenhouses conditions were conducted at an agricultural research station related to Agriculture College / Basrah Univ. during the grown season 2017 - 2018 to statement the effect of different levels of treatment of liquid and dry Wey adding to soil mixed animal manures as a growth media on some tomato seedling properties, Wey adding at level 25, 50 and 75 % as a liquid and 1, 2 and 4 % as a dry. Results showed a significant improvement in all growth properties: The highest height of 33.11 cm was recorded in (1 animal manure :1 soil) treatment at a 2 % dry Wey. The highest number of branches was at dry and liquid Wey treatments, attaining 2 and 3.2 plant branch-1, and the highest average number of branches was recorded at the value of 3.55 plant branch-1 at (1 animal manure : 1 soil) treatment. A significant number of leaves was 13 leaf plant-1 at the level of adding 50% of liquid spray and 12 leaf plant-1 at the level of addition of 2% of dry Wey; the highest average number of leaves has recorded a value of 13 leaf plat-1 of (1anmial manure:1soil) treatment. A significant value of shoot weight was at 75 % addition Wey liquid attained 6.99 gm plant-1 for shoot part compared with control and 25 % addition liquid Wey treatments.(1 animal manure:1 soil) treatment. Treatment of liquid Wey was applied at a concentration of 75%, giving a significant average of roots fresh weight is 0.123 gm plant-1, adding animal manure treated with liquid Wey achieved the highest average weight of roots attains 0.156 gmplant-1. Treatments of applied liquid Wey at a concentration of 75% were a superior average of dry shoot weight at 0.59 gm plant-1.

The use of medicinal plants for the management of diabetes mellitus is an old practice that has become even more relevant in a modern perspective. The present work was designed to evaluate the effect of a mixture of three medicinal plants which used in folk medicine in Iraq, These plants are (Aloe vera, Artemisia herba alba, and Teucrium polium) on the levels of blood glucose in normal and alloxan-induced diabetic mice, The aqueous extract of the herbal mixture was prepared and chemical detection of phenols, flavonoids, tannins, terpenes, steroids, glycosides, and saponins was carried out. Results revealed that the aqueous extract contains phenols, flavonoids, tannins, terpenes, glycosides, and saponins compounds. Evaluations of the parameters of our study were carried out on both standard and alloxan-induced diabetic mice. Thirty male mice were randomly divided into six equal groups: Group I (control): was kept as control negative mice treated with only distilled water. Group II: normal mice treated with aqueous extract of an herbal mixture at a dose (500 mg/kg/day).Group III: normal mice treated with aqueous extract of an herbal blend at a dose (250 mg/kg/day). The other 3 groups were subcutaneously administered a single dose (100 mg/kg) of alloxan to induce experimental diabetes. Groups IV (Diabetic): was kept as control positive, alloxan-induced diabetic mice treated with only distilled water. Groups V: alloxan-induced diabetic mice treated with aqueous extract of an herbal mixture at a dose (500 mg/kg/day). Group VI: alloxan-induced diabetic mice treated with aqueous extract of an herbal blend at a dose (250 mg/kg/day), respectively, for ten days. Results showed that normal mice treated with aqueous extract has no significant change in body weights and blood glucose level except those treated with a high dose of aqueous extract since they exhibited a significant decrease (P ≤ 0.05) in blood glucose level. The results indicated a significant reduction in glucose level in diabetic mice after treatment with a high dose of aqueous extract of the herbal mixture. In conclusion, our results support that the aqueous extract of these plant exhibits anti-diabetic as compared with each plant alone, where we tested each of these plants in previous studies.