A field indoor air measurement of SARS-CoV-2 in the patient rooms of the largest hospital in Iran.

The coronavirus disease 2019 (COVID-19) emerged in Wuhan city, China, in late 2019 and has rapidly spread throughout the world. The major route of transmission of SARS-CoV-2 is in contention, with the airborne route a likely transmission pathway for carrying the virus within indoor environments. Until now, there has been no evidence for detection of airborne severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and this may have implication for the potential spread of the COVID-19. We investigated the air of patient rooms with confirmed COVID-19 in the largest hospital in Iran, on March 17, 2020. To collect the SARS-CoV-2 particles, ten air samples were collected into the sterile standard midget impingers containing 20 mL DMEM with 100 µg/mL streptomycin, 100 U/mL penicillin and 1% antifoam reagent for 1 h. Besides, indoor particle number concentrations, CO2, relative humidity and temperature were recorded throughout the sampling duration. Viral RNA was extracted from samples taken from the impingers and Reverse-Transcription PCR (RT-PCR) was applied to confirm the positivity of collected samples based on the virus genome sequence. Fortunately, in this study all air samples which were collected 2 to 5 m from the patients' beds with confirmed COVID-19 were negative. Despite we indicated that all air samples were negative, however, we suggest further in vivo experiments should be conducted using actual patient cough, sneeze and breath aerosols in order to show the possibility of generation of the airborne size carrier aerosols and the viability fraction of the embedded virus in those carrier aerosols.

Exposure to air pollution during pregnancy and newborn liver function.

Exposure to air pollution has been associated with a wide range of adverse health outcomes. However, the available evidence on the impact of air pollution exposures on liver enzymes is still scarce. The aim of the present study was to assess the relationship between exposure to ambient PM1, PM2.5 and PM10 during pregnancy and serum level of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP) and gamma-glutamyl transferase (GGT) in cord blood samples of newborns. Moreover, the association between total street length in different buffers and distance to major roads at the maternal residential address and liver enzymes were investigated. This cross-sectional study was based on data from a sample of 150 newborns, from Sabzevar, Iran. Land use regression models were used to estimate concentrations of air pollutants at home during pregnancy. Multiple linear regression was developed to estimate association of AST, ALT, ALP and GGT with air pollution controlled for relevant covariates. In fully adjusted models, increase in PM1 and PM2.5 as well as PM10 were associated with higher levels of AST, ALT and GGT. Moreover, there was a significant association between total street length in a 100 m buffer at residential address with AST, ALT and GGT. Each meter increase in distance to major roads was associated with -0.017 (95% confidence interval (CI): -0.028, -0.006) decrease in AST. Overall, our findings were supportive for association between PMs exposure during pregnancy and increase in liver enzymes in newborns. Further studies are needed to confirm these findings in other settings and populations.

Assessment of bioaerosol contamination (bacteria and fungi) in the largest urban wastewater treatment plant in the Middle East.

Bioaerosol concentration was measured in wastewater treatment units in south of Tehran, the largest wastewater treatment plant in the Middle East. Active sampling was carried out around four operational units and a point as background. The results showed that the aeration tank with an average of 1016 CFU/m(3) in winter and 1973 CFU/m(3) in summer had the greatest effect on emission of bacterial bioaerosols. In addition, primary treatment had the highest impact on fungal emission. Among the bacteria, Micrococcus spp. showed the widest emission in the winter, and Bacillus spp. was dominant in summer. Furthermore, fungi such as Penicillium spp. and Cladosporium spp. were the dominant types in the seasons. Overall, significant relationship was observed between meteorological parameters and the concentration of bacterial and fungal aerosols.