Understanding COVID-19 transmission, health impacts and mitigation: timely social distancing is the key.

COVID-19 is a highly infectious disease caused by SARS-CoV-2, first identified in China and spread globally, resulting into pandemic. Transmission of virus takes place either directly through close contact with infected individual (symptomatic/asymptomatic) or indirectly by touching contaminated surfaces. Virus survives on the surfaces from few hours to days. It enters the human body through nose, eyes or mouth. Other sources of contamination are faeces, blood, food, water, semen etc. Parameters such as temperature/relative humidity also play an important role in transmission. As the disease is evolving, so are the number of cases. Proper planning and restriction are helping in influencing the trajectory of the transmission. Various measures are undertaken to prevent infection such as maintaining hygiene, using facemasks, isolation/quarantine, social/physical distancing, in extreme cases lockdown (restricted movement except essential services) in hot spot areas or throughout the country. Countries that introduced various mitigation measures had experienced control in transmission of COVID-19. Python programming is conducted for change point analysis (CPA) using Bayesian probability approach for understanding the impact of restrictions and mitigation methods in terms of either increase or stagnation in number of COVID-19 cases for eight countries. From analysis it is concluded that countries which acted late in bringing in the social distancing measures are suffering in terms of high number of cases with USA, leading among eight countries analysed. The CPA week in comparison with date of lockdown and first reported case strongly correlates (Pearson's r = - 0.86 to - 0.97) to cases, cases per unit area and cases per unit population, indicating earlier the mitigation strategy, lesser the number of cases. The overall paper will help the decision makers in understanding the possible steps for mitigation, more so in developing countries where the fight against COVID-19 seems to have just begun.

Local computational methods to improve the interpretability and analysis of cryo-EM maps.

Cryo-electron microscopy (cryo-EM) maps usually show heterogeneous distributions of B-factors and electron density occupancies and are typically B-factor sharpened to improve their contrast and interpretability at high-resolutions. However, 'over-sharpening' due to the application of a single global B-factor can distort processed maps causing connected densities to appear broken and disconnected. This issue limits the interpretability of cryo-EM maps, i.e. ab initio modelling. In this work, we propose 1) approaches to enhance high-resolution features of cryo-EM maps, while preventing map distortions and 2) methods to obtain local B-factors and electron density occupancy maps. These algorithms have as common link the use of the spiral phase transformation and are called LocSpiral, LocBSharpen, LocBFactor and LocOccupancy. Our results, which include improved maps of recent SARS-CoV-2 structures, show that our methods can improve the interpretability and analysis of obtained reconstructions.

COVID-19 and its impact on gynaecologic oncology practice in India-results of a nationwide survey.

The COVID-19 pandemic sweeping across the world has caused major disruptions in healthcare delivery and practice. A survey was conducted to assess the changes in the care of gynaecologic oncology patients in India. METHODS: An online survey enquiring about the patient volumes and surgical load, and changes in practice protocols for endometrial, ovarian, cervical and vulval cancers was conducted in May, 2020. RESULTS: The total number of responses received was 153. Barring duplicates, 148 were analysed. There was a significant drop in gynaecologic oncology patients attending government hospitals as compared to the non-government sector. The drop was not significantly different in areas having low versus high COVID-19 case volumes. The treatment of endometrial cancers remained the same although there was a marked shift from minimal access surgery to conventional surgery. Advanced ovarian cancer was mostly managed by neoadjuvant chemotherapy. Cervical and vulval cancer management remained the same, but radiotherapy protocols were modified by most. CONCLUSION: Based on clinician responses, it appears that most practices across India have suffered a fall in patient volumes. The responses from government sectors point towards a bigger hit in this segment of practice. While the management of endometrial cancers and cervical cancers was mostly unchanged, most cases of advanced ovarian cancer received neoadjuvant chemotherapy. Cervical cancer, when managed by chemoradiation, was likely to have altered radiation schedules.