Early Phase Management of the SARS-CoV-2 Pandemic in the Geographic Area of the Veneto Region, in One of the World’s Oldest Populations

Abstract

The first cases of Coronavirus disease-2019 (COVID-19) were reported on 21 February in the small town of Vo’ near Padua in the Veneto region of Italy. This event led to 19,286 infected people in the region by 30 June 2020 (39.30 cases/10,000 inhabitants). Meanwhile, Rovigo Local Health Unit n. 5 (ULSS 5), bordering areas with high epidemic rates and having one of the world’s oldest populations, registered the lowest infection rates in the region (19.03 cases/10,000 inhabitants). The aim of this study was to describe timing and event management by ULSS 5 in preventing the propagation of infection within the timeframe spanning from 21 February to 30 June. Our analysis considered age, genetic clusters, sex, orography, the population density, pollution, and economic activities linked to the pandemic, according to the literature. The ULSS 5 Health Director General’s quick decision-making in the realm of public health, territorial assistance, and retirement homes were key to taking the right actions at the right time. Indeed, the number of isolated cases in the Veneto region was the highest among all the Italian regions at the beginning of the epidemic. Moreover, the implementation of molecular diagnostic tools, which were initially absent, enabled health care experts to make quick diagnoses. Quick decision-making, timely actions, and encouraging results were achieved thanks to a solid chain of command, despite a somewhat unclear legislative environment. In conclusion, we believe that the containment of the epidemic depends on the time factor, coupled with a strong sense of awareness and discretion in the Health Director General’s decision-making. Moreover, real-time communication with operating units and institutions goes hand in hand with the common goal of protecting public health.

Risk Factors Associated with Nursing Home COVID-19 Outbreaks: A Retrospective Cohort Study

“…Understanding clearly the factors that may have contributed to outbreaks as a result of the pandemic have attracted scientific and legal attention for the purposes of devising policies, action plans and standards to safeguard the safety of both residents and employees in such facilities during the COVID-19 pandemic and beyond [6]. Despite a wealth of individual reports of outbreaks and fatalities in aged care facilities related to COVID-19 [7][8][9][10][11][12], as well as review articles quantifying the outsized impact of this pandemic in the frail populations [3], structural, organizational and practice-related protective factors in these setting have been analyzed to a lesser degree. Several studies, mainly conducted in North America, have investigated the relationship between COVID-19 outbreaks and certain features of long-term care facilities (including nursing homes), such as their geography, size, design, staffing levels, compliance with infection prevention and control (IPC) regulations, health inspections and quality ratings [13][14][15].…”

Relationship between Built Environment and COVID-19 Dispersal Based on Age Stratification: A Case Study of Wuhan

“…Sociology focuses on people’s anxiety, depression and social inequality in the epidemic period [ 15 , 16 ]. Urban geography mainly studies the spatial–temporal distribution and evolution of the virus [ 17 , 18 , 19 , 20 , 21 , 22 ], the influence of urban spatial environment factors on the spread of the epidemic and the optimization strategy of urban spatial layout in the post-epidemic era [ 23 , 24 , 25 ] aiming to build an effective and defensible urban spatial system.…”