1) Laboratory-confirmed case counts are based upon data reported via the FLIS web portal. Nursing homes were asked to provide cumulative totals of residents with laboratory confirmed covid. This includes residents currently in-house, in the hospital, or who are deceased. Residents were excluded if they tested positive prior to initial admission to the nursing home.
2) The cumulative number of deaths among nursing home residents is based upon data reported by the Office of the Chief Medical Examiner. For public health surveillance, COVID-19-associated deaths include persons who tested positive for COVID-19 around the time of death (laboratory-confirmed) and persons whose death certificate lists COVID-19 disease as a cause of death or a significant condition contributing to death (probable).
1) As of the week of 5/10/20, Point Prevalence Survey testing is being offered to all asymptomatic nursing home residents to inform infection prevention efforts. Point prevalence surveys will be conducted over a period of several weeks. Some nursing homes had adequate testing resources available to conduct surveys prior to this date. Differences in survey timing will impact the number of positive results that a nursing home reports.
2) Cumulative totals of residents testing positive are being collected rather than individual resident data. Thus we cannot verify the counts, de-duplicate, and/or verify whether there is a record of a positive lab test. This may result in either under- or over-counting.
3) The number of COVID-19 positive residents and the number of confirmed deaths among residents are tabulated from different data sources. Due to the timing of availability of test results for deceased residents, it is not appropriate to calculate the percent of cases who died due to COVID-19 at any particular facility based upon this data.
4) The count of deaths reported for 4/14 are not included in this dataset, as they were not broken out by laboratory-confirmed or probable. They can be viewed in the DPH Report here: https://portal.ct.gov/-/media/Coronavirus/CTDPHCOVID19summary4162020.pdf?la=en
As you know, we are learning more about COVID-19 all the time, including the best ways to measure COVID-19 activity in our communities. CT DPH has decided to shift to 14-day rates because these are more stable, particularly at the town level, as compared to 7-day rates. In addition, since the school indicators were initially published by DPH last summer, CDC has recommended 14-day rates and other states (e.g., Massachusetts) have started to implement 14-day metrics for monitoring COVID transmission as well.
With respect to geography, we also have learned that many people are looking at the town-level data to inform decision making, despite emphasis on the county-level metrics in the published addenda. This is understandable as there has been variation within counties in COVID-19 activity (for example, rates that are higher in one town than in most other towns in the county).
This dataset includes a weekly count and weekly rate per 100,000 population for COVID-19 cases, a weekly count of COVID-19 PCR diagnostic tests, and a weekly percent positivity rate for tests among people living in community settings. Dates are based on date of specimen collection (cases and positivity).
A person is considered a new case only upon their first COVID-19 testing result because a case is defined as an instance or bout of illness. If they are tested again subsequently and are still positive, it still counts toward the test positivity metric but they are not considered another case.
These case and test counts do not include cases or tests among people residing in congregate settings, such as nursing homes, assisted living facilities, or correctional facilities.
These data are updated weekly; the previous week period for each dataset is the previous Sunday-Saturday, known as an MMWR week (https://wwwn.cdc.gov/nndss/document/MMWR_week_overview.pdf). The date listed is the date the dataset was last updated and corresponds to a reporting period of the previous MMWR week. For instance, the data for 8/20/2020 corresponds to a reporting period of 8/9/2020-8/15/2020.
9/25/2020: Data for Mansfield and Middletown for the week of Sept 13-19 were unavailable at the time of reporting due to delays in lab reporting.
Pharmacies that are able to dispense Naloxone.
For a mobile optimized map go here: https://opendatact.github.io/narcanmap/ Naloxone is a medication approved by the Food and Drug Administration (FDA) to prevent overdose by opioids such as heroin, morphine, and oxycodone.
This dataset contains the official listing of all public educational organizations in Connecticut as of April 25, 2014. Data elements include name, organization type, organization code, address, open date, interdistrict magnet status and grades offered.
Included data are collected by the CT State Department of Education (CSDE) through the Directory Manager (DM) portal in accordance with Connecticut General Statute (C.G.S.) 10-4. This critical information is used by other data collection systems and for state and federal reporting.
Connecticut Town Index is a 1:125,000-scale polygon feature-based layer that includes a polygon feature for every Connecticut town (municipality). There are 169 town polygon features in this layer. The corresponding town number and town name attributes uniquely identify town polygon features. Town number values are based on the Town Codes issued by the State of Connecticut, Office of the State Controller, which range from 1 to 169. As a historic note, the Connecticut Town Index layer was originally digitized in 1986 by the Connecticut Department of Environmental Protection using Esri ArcInfo 3 software installed on a mini computer. It was the first statewide GIS layer created by the Connecticut Department of Environmental Protection. The data was in ArcInfo coverage format, Connecticut State Plane Coordinate System, North American Datum 1927, and map units feet.
Purpose: Connecticut Town Index is a general purpose index map of Connecticut towns that was compiled at 1:125,000 scale (1 inch equals approximately 2 miles). The layer is designed to be used to depict Connecticut towns at small scales or on small maps printed on regular size (8.5 x 11 inch) paper, for example. The Town Index layer does not accurately represent Connecticut town boundaries because it was digitized at 1:125,000 scale. Do not display, map or analyze the Town Index layer with information collected at larger scales. To depict more accurate 1:24,000-scale Connecticut town boundaries on a map, use the layer named Town, which is also published by the State of Connecticut Department of Environmental Protection.
A listing of retailers in Conneticut authorized to accept SNAP EBT benefits. The Supplemental Nutrition Assistance Program (SNAP), formerly known as Food Stamps, helps eligible individuals and families afford the cost of food at supermarkets, grocery stores and farmers’ markets.