Most of the 37 public health facilities in northern India that we assessed were not readied for providing quality care for threatened preterm birth and ensuring the safe use of antenatal corticosteroids (ACS).n Deficiencies were identified in areas of evidencebased practices, competent workforce, actionable health information system, physical resources, and communication.nThe existing ACS guidelines were not up-to-date with current evidence and were not disseminated or implemented uniformly across facilities.n Attention to accurate gestational age estimation and the quality of childbirth and preterm care were inadequate in all the facilities.

Reopening of colleges and universities for the Fall semester of 2020 across the United States has caused significant COVID-19 case spikes, requiring reactive responses such as temporary closures and switching to online learning. Until sufficient levels of immunity are reached through vaccination, Institutions of Higher Education will need to balance academic operations with COVID-19 spread risk within and outside the student community. In this work, we study the impact of proximity statistics obtained from high resolution mobility traces in predicting case rate surges in university counties. We focus on 50 land-grant university counties (LGUCs) across the country and show high correlation (PCC > 0.6) between proximity statistics and COVID-19 case rates for several LGUCs during the period around Fall 2020 reopenings. These observations provide a lead time of up to ∼3 weeks in preparing resources and planning containment efforts. We also show how features such as total population, population affiliated with university, median income and case rate intensity could explain some of the observed high correlation. We believe these easily explainable mobility metrics along with other disease surveillance indicators can help universities be better prepared for the Spring 2021 semester.

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