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Combination of CT and TT genotypes of C677T polymorphism conferred a significantly higher risk for NHL. It is recommended to investigate further the potential role of this polymorphism in NHL development.

Background: Acute viral respiratory diseases are among the most prevalent diseases in humans. Viral respiratory infections are the main reasons for hospitalization and death in developing countries. Objectives: The aim of this study is to determine the prevalence and clinical symptoms of the respiratory viruses including influenza viruses A and B, respiratory syncytial virus type A and B (RSV-A and RSV-B), human parainfluenza virus type 1 to 4 (HPIV-1-4) among patients with Influenza-like illness (ILI) in Zahedan City, Southeastern Iran from October 2015 to March 2016. Methods: Clinical and epidemiological data from patients who presented to outpatient clinics with ILI from October 2015 to March 2016 in Zahedan were collected. A total of 240 throat swabs were tested for Influenza virus by RT-PCR, and then those with negative results were tested for RSV-A, RSV-B, and HPIV type 1-4 using Multiplex-PCR. Results: Among 240 patients, 115 (47.9%) were male and 125 (52.1%) were female. Influenza A virus was detected in 196 (81.7%) patients, out of them 157 (65.4%) had H1N1 subtype and the remaining patients had H3N2 subtype. Influenza B virus was observed in 9 (3.8%) patients. Respiratory syncytial virus type A and B, and human parainfluenza virus type 1 to 4 were not detected in this study. The highest rate of influenza A infection was in the age range of 16-45 years old and for influenza B was in the age group of more than 46 years. The most common clinical manifestations in both influenzas A and B were fever, cough, and myalgia. Over half of the patients with influenza B had dyspnea compared to 30% of ILI patients with influenza A virus infection. Conclusions: The results of the study revealed the highest rate of Influenza A infection with H1N1 subtype among patients presented to the outpatient clinics with the clinical manifestations of influenza-like illness. This study suggests continuing surveillance, infection control, and annual vaccination for Influenza.

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Background: To quantitatively estimate the relationship between IL‐1β -511C>T, −31T>C, and +3954C>T polymorphisms and risk of gestational disorders. Methods: In this meta-analysis, eligible publications were searched in Web of Knowledge, MEDLINE, PubMed, Scopus, and Google Scholar databases (updated April 2020), using appropriate or relevant keywords. Case-control population-based reports were included if provided with genotypic frequencies of both studied groups. Statistical analyses were performed using the MetaGenyo web tool software, where a P value less than 0.05 indicated a significant association. For the assessment of between-study variations, heterogeneity analysis was applied with the I 2 statistics. Results: A total of thirteen studies were included. We observed a significant association between IL‐1β−31T>C polymorphism and reduced risk of gestational disorders under codominant CT vs. CC [OR= 0.74, CI (0.59-0.92)], and dominant CT+TT vs. CC [OR= 0.74, CI (0.60-0.91)] contrasted genetic models. The stratified analysis considering the disease type showed that the 511C>T variant, under the recessive CC vs. CT+TT model, enhanced the risk of preterm birth by 1.29 fold. Conclusion: Our results failed to support an association between two IL‐1β polymorphisms, 511C>T and +3954C>T, with the overall risk of gestational disorders. In contrast, the 31T>C variant reduced the incidence of such diseases. Further studies are encouraged to get more precise estimates of effect sizes.

in four geographic regions (central, north, northeast , and south). We analyzed these data using a previously described approach of epidemic reconstruction to derive estimates of how the effective reproduction number, Rt, varied with region and over time. Confidence intervals were calculated using a bootstrap procedure. Results: We found that the estimated Rt values for the first wave peaked at 1.5 (with 95% CI, 1.4-1.7) in the central region and 1.6 (95% CI, 1.4-1.9) in the north, whilst the corresponding values in the northeast and the south were close to 1.3. By the time that the Rt estimate in the central region was below one, the value of Rt in the rest of Thailand had started to increase above one. The value of Rt in the first wave was estimated to be above one continuously for 30 days in all regions. For the second wave, the Rt estimates were only marginally above one within the first three months in all regions except the south. Conclusion: The estimate values of Rt for the first and the second waves of the influenza A H1N1pdm epidemic in Thailand varied by region, with higher estimates obtained from the central and northern regions in the first wave. Accounting for regional variation in transmission potential is important for helping to predict the course of future pandemics and for analysing potential control measures (i.e. regionally-targeted control policies).