GDM diagnosis criteria: Standard and Covid-19 criteria

Aim: Standard diagnosis of gestational diabetes (GDM) is based on the Oral Glucose Tolerance test (OGTT). During the Covid-19 outbreak, due to Covid restrictions, criteria were modified i.e Fasting Blood Glucose >=5.3 and/ or HbA1c >= 39 for diagnosis of GDM. After the lifting of the Covid restrictions, the standard criteria were reimplemented and on analyzing the data, it was highlighted that some of the patients could have tested negative for GDM based on Covid Criteria. Method(s): We analyzed the data of 43 patients based on standard criteria (OGTT and HbA1c) after Covid restrictions, with the following results. Result(s): 11/43(28%) patients who were diagnosed on the basis of standard criteria could have been missed based on Covid criteria. Out of 11 deliveries, 2 babies with weight above 4 kg. There were no admissions to NICU. One patient had postpartum hemorrhage with 670 mL of blood loss. Conclusion(s): This was a retrospective study in which we analyzed the data of 45 pregnant females diagnosed with GDM based on testing using the Covid criteria and compared this to 43 pregnant females who were diagnosed with GDM on the basis of OGTT based on GOLD standard NICE criteria. In addition, we also examined maternal and obstetric outcomes in both groups such as the mode of delivery, the baby's birth weight, the incidence of shoulder dystocia, mean blood loss (MBL), and NICU admission. We understand that Covid GDM diagnosis was a necessity of time. In this study, we want to learn what could have been missed with that diagnostic criteria. For future pandemics, we need to revise our diagnostic criteria to avoid the risk of underdiagnosing GDM and associated complications.

Data-Driven Decision Making in Response to the COVID-19 Pandemic: A City of Cape Town Case Study

In the event of a crisis, such as COVID-19, the decisions and subsequent actions taken by the local government are one of the primary sources of support to the local population. Yet the processes through which these decisions are reached and the data engineering advancements made for and during events are poorly reported. Understanding the capabilities and constraints in which city officials operate is essential for impactful academic research alongside global city comparison and discussion on best practices in reaching optimal and data-informed decisions. This is especially pertinent for the global South, where informality in housing and the economy presents further challenges to appropriate resource distribution in a crisis. Here, we present insights into the City of Cape Town's data-driven response and subsequent data engineering and analytical developments throughout the COVID-19 pandemic. This is based upon a review of internal documentation including a close-out report which summarised semi-structured interviews with staff involved in the data work stream. The paper reports on the deliverables produced during 2020 by the data work stream and outlines specific challenges the city faced and its data-informed response in the areas of (1) quantifying costs for COVID-19 initiatives, (2) dealing with a surge in fatalities, (3) guiding scarce public resources to respond to an evolving crisis, and (4) data sharing. We demonstrate the real-term value of incorporating data into the decision-making process and conclude by outlining key factors that cities and researchers must consider as a part of the usual business to effectively assist their populations during times of stress and crisis. © 2023 by the authors.

Managing city-scale slow-onset disasters: Learning from Cape Town's 2015–2018 drought disaster planning

Disaster planning for slow-onset city-wide shocks will be become increasingly necessary, particularly as cities face increasingly severe climate hazards. This paper provides unique insight into the disaster planning and management that was undertaken by the City of Cape Town government in response to its most severe hydrological drought on record. It describes how risk was understood and why decisions were made on key elements of the plan, including trigger points, risk prioritisation and mitigation, and the location and design of points of distribution of water rations for the public. Reflecting upon the authors’ experience and interviews with senior City officials who worked on the drought disaster planning and response, the paper extracts five key lessons learnt that have since been applied during the COVID-19 pandemic: (i) the need for cross-functional planning and response skills, (ii) the need for integrated, up-to-date and scale-appropriate data;(iii) the importance of scenario-based simulations, communication and rapid costing to enable the rapid scaling-up of a response;(iv) the value of being able to use outsourced expert capacity effectively;and (v) the application of previously used disaster management and planning experience to build resilience in cities. These lessons, captured in a visual framework, help reflect on capabilities required for responding to future city-scale disasters. The paper provides an informative case study for other cities and risk managers, and will be particularly useful for global South contexts that face drought and other slow-onset disasters, most recently illustrated by the COVID-19 pandemic. © 2021 The Authors

RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences.

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), the US data center for the global PDB archive and a founding member of the Worldwide Protein Data Bank partnership, serves tens of thousands of data depositors in the Americas and Oceania and makes 3D macromolecular structure data available at no charge and without restrictions to millions of RCSB.org users around the world, including >660 000 educators, students and members of the curious public using PDB101.RCSB.org. PDB data depositors include structural biologists using macromolecular crystallography, nuclear magnetic resonance spectroscopy, 3D electron microscopy and micro-electron diffraction. PDB data consumers accessing our web portals include researchers, educators and students studying fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences. During the past 2 years, the research-focused RCSB PDB web portal (RCSB.org) has undergone a complete redesign, enabling improved searching with full Boolean operator logic and more facile access to PDB data integrated with >40 external biodata resources. New features and resources are described in detail using examples that showcase recently released structures of SARS-CoV-2 proteins and host cell proteins relevant to understanding and addressing the COVID-19 global pandemic.