ETP contracts affected by COVID-19 who fall in one of the Governor declared essential industries. The dataset includes data in 3 different ETP COVID-19 programs: (1) ETP COVID-19 Response (2) ETP COVID-19 Pilot and (3) ETP RESPOND COVID

This dataset contains numbers of COVID-19 outbreaks and associated cases, categorized by setting, reported to CDPH since January 1, 2021. AB 685 (Chapter 84, Statutes of 2020) and the Cal/OSHA COVID-19 Emergency Temporary Standards (Title 8, Subchapter 7, Sections 3205-3205.4) required non-healthcare employers in California to report workplace COVID-19 outbreaks to their local health department (LHD) between January 1, 2021 – December 31, 2022. Beginning January 1, 2023, non-healthcare employer reporting of COVID-19 outbreaks to local health departments is voluntary, unless a local order is in place. More recent data collected without mandated reporting may therefore be less representative of all outbreaks that have occurred, compared to earlier data collected during mandated reporting. Licensed health facilities continue to be mandated to report outbreaks to LHDs. LHDs report confirmed outbreaks to the California Department of Public Health (CDPH) via the California Reportable Disease Information Exchange (CalREDIE), the California Connected (CalCONNECT) system, or other established processes. Data are compiled and categorized by setting by CDPH. Settings are categorized by U.S. Census industry codes. Total outbreaks and cases are included for individual industries as well as for broader industrial sectors. The first dataset includes numbers of outbreaks in each setting by month of onset, for outbreaks reported to CDPH since January 1, 2021. This dataset includes some outbreaks with onset prior to January 1 that were reported to CDPH after January 1; these outbreaks are denoted with month of onset “Before Jan 2021.” The second dataset includes cumulative numbers of COVID-19 outbreaks with onset after January 1, 2021, categorized by setting. Due to reporting delays, the reported numbers may not reflect all outbreaks that have occurred as of the reporting date; additional outbreaks may have occurred that have not yet been reported to CDPH. While many of these settings are workplaces, cases may have occurred among workers, other community members who visited the setting, or both. Accordingly, these data do not distinguish between outbreaks involving only workers, outbreaks involving only residents or patrons, or outbreaks involving both. Several additional data limitations should be kept in mind: * Outbreaks are classified as “Insufficient information” for outbreaks where not enough information was available for CDPH to assign an industry code. * Some sectors, particularly congregate residential settings, may have increased testing and therefore increased likelihood of outbreak recognition and reporting. As a result, in congregate residential settings, the number of outbreak-associated cases may be more accurate. * However, in most settings, outbreak and case counts are likely underestimates. For most cases, it is not possible to identify the source of exposure, as many cases have multiple possible exposures. * Because some settings have been at times been closed or open with capacity restrictions, numbers of outbreak reports in those settings do not reflect COVID-19 transmission risk. * The number of outbreaks in different settings will depend on the number of different workplaces in each setting. More outbreaks would be expected in settings with many workplaces compared to settings with few workplaces.

This Master COVID-19 Dataset contains a combination of primary datasets (originally identified by the COVID-19 Task Force Strategic Analysis team and currently maintained by the PPL Metrics Team) grouped by factors, cleaned, and ready for on-demand analytics products. This list is organized into seven Factors, covering the range of first-order and second-order impacts, host country and donor responses, underlying vulnerabilities, and broader country contextual factors that are influencing and influenced by the COVID-19 crisis. The Factors are delineated by those pertaining to first-order impacts and second-order impacts, even though the two issue sets are highly interrelated. Note that this resource is internal to USAID.

A page highlighting data on the impact of COVID-19 on congregate facilities in Connecticut.

This briefing brings together a range of data published on the demographic impact of Covid19 to understand how the city has been affected, covering what is known about Covid-19 cases, before looking at mortality. It provides comparisons with other cities and explains some of the issues which affect the accuracy of such comparisons. And it summarises the emerging evidence of unequal impacts for different demographic groups, especially ethnicity and workers in particular occupations.