On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Fire and Emergency Medical Services testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.
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This feature layer contains locations of Hospitals for 50 US states, Washington D.C., US territories of Puerto Rico, Guam, American Samoa, Northern Mariana Islands, Palau, and Virgin Islands. The dataset only includes hospital facilities based on data acquired from various state departments or federal sources which has been referenced in the SOURCE field. Hospital facilities which do not occur in these sources will be not present in the database. The source data was available in a variety of formats (pdfs, tables, webpages, etc.) which was cleaned and geocoded and then converted into a spatial database. The database does not contain nursing homes or health centers. Hospitals have been categorized into children, chronic disease, critical access, general acute care, long term care, military, psychiatric, rehabilitation, special, and women based on the range of the available values from the various sources after removing similarities. In this update the TRAUMA field was populated for 172 additional hospitals and helipad presence were verified for all hospitals.
This dataset contains lines representing locations of Snow Emergency Routes for the DC.
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This dataset contains points for fire stations that were initially identified from DC Fire and EMS Department records and heads-up digitized from 2002 orthophotographs, and have been updated based on current conditions.
These resources offer non-emergency transportation to medical appointments, grocery stores, social activities, etc., and may be government or private services. This list includes programs supported through District funding for older adults, as well as services that offer support inclusive to individuals with dementia. Some of these services are available to all older adults, while others are restricted to members of organizations, such as the DC Villages. This resource guide does not include private rideshare companies such as Lyft, Uber, or Go Go Grandparent.
On March 11, 2020, Mayor Bowser declared a coronavirus (COVID-19) public health emergency in the District of Columbia. Since then, the DC Department of Human Services modified operations and implemented a strategy to prevent the introduction and spread of COVID-19 in low-barrier shelters. The following details the steps and actions taken to protect the District's most vulnerable residents from the novel coronavirus and to prevent its spread in congregate shelters throughout the city.
On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. More information available at https://coronavirus.dc.gov.Data for overall Coronavirus cases and testing results. Demographics are presented by race, gender, ethnicity and age. Additional variables for personnel in the public safety, medical and human service workforce. District agencies are Metropolitan Police Department (MPD), Fire and Emergency Medical Services (FEMS), Department of Corrections (DOC), Department of Youth Rehabilitation Services (DYRS) and Department of Human Services (DHS). Data for Saint Elizabeth's Hospital available. DYRS, DOC and DHS further report on its resident populations. Visit https://coronavirus.dc.gov/page/coronavirus-data for interpretation analysis.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.
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Homeless Facility and Service locations. The dataset contains locations and attributes of Homeless Facility and Service locations, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by Answers Please and The InterFaith Conference of Metropolitan Washington identified emergency food, shelter and health care locations.
As of October 2021, this application is offline. Oblique Aerial Images For DC displays multiple 45 degree angled views for any location. An array of five digital cameras capture oblique and nadir (straight-down) views, enabling users to visualize, measure and analyze all sides of a structure or ground feature. The uses for oblique imagery are growing; in DC, it is most heavily used in the areas of first response/emergency management, urban planning, and property assessment.
In the fall of 2020, DC Health's Center for Policy, Planning and Evaluation (CPPE) was awarded one of ten Centers for Disease Control and Prevention (CDC), Firearm Injury Surveillance Through Emergency Rooms (FASTER) grants. This grant has allowed the District to begin regular surveillance of firearm injury visits to the city’s seven emergency departments. DC-FASTER helps address important gaps in timely data availability for firearm injuries. Timely reporting at the city level through FASTER, allows the District to detect surges in gun violence, monitor the victimization of at-risk groups, and understand trends in firearm injury. Data provided in this dashboard are updated monthly and represent the number of emergency department visits for firearm injury. All seven of the District’s Emergency rooms report to DC Health daily.
FEMS Battalion Alarm Districts locations. The dataset contains locations and attributes of Battalion Alarm Districts, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Written documentation provided by FEMS identified Engine Local Alarm Districts locations. The dataset was created using the Street Center Line dataset as reference and snap base. Battalion Alarm Districts were aggregated from Engine Local Alarm Districts
This data set is a comprehensive compilation of detailed operating statistics of waste processing and disposal operations in the U.S.
The Office of Emergency Management retains records of all incident responses in which it participates. This data asset includes three major sources of information: (1) records maintained by the Regional Office On-Scene Coordinators, principally at the EPAOSC.org web site, (2) all records of incidents managed at the EPA National Response Center (NRC) at EPA Headquarters in Washington, DC and (3) records of responses to oil spills under the Clean Water Act, for which EPA is the oil spill response lead for inland waters. Regional response information is available through EPAOSC.org, but may also be stored elsewhere if the incident is of national significance. EPAOSC.org is a resource for On-Scene Coordinators to access, track and share information with OSCs throughout the country, but it also contains information open to the public. Incident-related environmental sampling data is maintained by the regional offices in the SCRIBE system. NRC records have been maintained in the Emergency Response Notification System (ERNS). This information is available to the public through the Right to Know Network (RTKnet.ombwatch.org). Incidents reported to NRC range from minor to serious, from an oil-sheen on water to a release of thousands of gallons. NRC reports are extensive, but also known to be incomplete, as many incidents are never reported, and those that are reported generally are not subject to verification.
Dataset provided by DC Health. The AIDS Drug Assistance Program (ADAP) operates in the District of Columbia and in all 50 states, Guam, Northern Mariana Islands, Puerto Rico, and the Virgin Islands. The program is authorized under Title II of the Ryan White Comprehensive AIDS Resources Emergency (CARE) Act and provides HIV-related prescription drugs to under-insured and uninsured individuals living with HIV/AIDS. Enrolling in the DC AIDS Drug Assistance Program is as easy as clicking on the button below.
When the temperature or heat index in the District reaches 95 degrees, District Government, through the Department of Human Services (DHS) and the Homeland Security and Emergency Management Agency (HSEMA), will implement the Heat Emergency Plan and activate cooling centers for residents to seek relief. Residents and visitors should take extra steps to beat the heat by staying in the shade or air-conditioning, drinking plenty of water and visiting a cooling center. Periods of high heat and humidity can cause medical problems such as heat exhaustion and stroke. Select DC facilities are open to the public and places you can go to beat the heat. For more information on where to go, call 311 or text 311 to 32311. https://hsema.dc.gov/page/heat-emergency-plan-information.
FIRM Panel. The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000. Insurance applications include enforcement of the mandatory purchase requirement of the Flood Disaster Protection Act, which ... requires the purchase of flood insurance by property owners who are being assisted by Federal programs or by Federally supervised, regulated or insured agencies or institutions in the acquisition or improvement of land facilities located or to be located in identified areas having special flood hazards, Section 2 (b) (4) of the Flood Disaster Protection Act of 1973. In addition to the identification of Special Flood Hazard Areas (SFHAs), the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the NFIP. The DFIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The DFIRM database is a subset of the Digital FIS database that serves to archive the information collected during the FIS.
This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
The DC Metropolitan Area Drug Study (DCMADS) was conducted in 1991, and included special analyses of homeless and transient populations and of women delivering live births in the DC hospitals. DCMADS was undertaken to assess the full extent of the drug problem in one metropolitan area. The study was comprised of 16 separate studies that focused on different sub-groups, many of which are typically not included or are underrepresented in household surveys. The Homeless and Transient Population study examines the prevalence of illicit drug, alcohol, and tobacco use among members of the homeless and transient population aged 12 and older in the Washington, DC, Metropolitan Statistical Area (DC MSA). The sample frame included respondents from shelters, soup kitchens and food banks, major cluster encampments, and literally homeless people. Data from the questionnaires include history of homelessness, living arrangements and population movement, tobacco, drug, and alcohol use, consequences of use, treatment history, illegal behavior and arrest, emergency room treatment and hospital stays, physical and mental health, pregnancy, insurance, employment and finances, and demographics. Drug specific data include age at first use, route of administration, needle use, withdrawal symptoms, polysubstance use, and perceived risk.This study has 1 Data Set.
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This dataset was developed by Natural Resources Canada using the European Centre for Medium-range Weather Forecasts (ECMWF) ERA5-HRS Reanalysis product (C3S, 2017) as inputs to the Canadian Forest Fire Danger Rating System R Package (Wang et al. 2017). The dataset provides gridded values of the Canadian Fire Weather Index (FWI) System indices of fuel moisture and fire behaviour, including the Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build-Up Index (BUI), Fire Weather Index (FWI), and Daily Severity rating (DSR). Each of these indices are produced using two calculation methods applied at the beginning of fire season start-up. The first method used the default DC value (DC=15) to start-up the FWI System calculation and only accounted for the longest stretch of active fire season each year (as determined by Wotton and Flannigan, 1993). The second method used the overwintered DC value, calculated from the DC value of the last day of the previous fire season and a percentage of overwinter precipitation, and accounted for all periods of fire season throughout the year. We recommend users of this data use indices where DC has been overwintered in regions where the fire season shuts off for winter and where low overwinter precipitation occurs (eg. parts of western Canada, the western US and the Siberian Boreal forest).
References:
Copernicus Climate Change Service (C3S) (2017): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate . Copernicus Climate Change Service Climate Data Store (CDS), Accessed June 20th 2019. https://cds.climate.copernicus.eu/cdsapp#!/home
Wang, X., Wotton, B. M., Cantin, A. S., Parisien, M. A., Anderson, K., Moore, B., & Flannigan, M. D. (2017). cffdrs: an R package for the Canadian forest fire danger rating system. Ecological Processes, 6(1), 5.
Wotton, B. M., & Flannigan, M. D. (1993). Length of the fire season in a changing climate. The Forestry Chronicle, 69(2), 187-192.
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In the decision support system Fire Risk Forest and Land, fire risk forecasts are calculated and meteorological data are reported to support decisions on fire in vegetation. Once the forecast has ended, a new calculation of the fire risk values is made based on the latest available weather data. This “analysis data” is stored. After each year’s fire season, the analysed historical dataset of the model-calculated boxes of 2.8 km * 2.8 km is saved with the midpoint given in x and y coordinates. Please note that the WMS service only contains the previous year’s data.
Each 2.8 km * 2.8 km square has the attributes listed below (some variation may occur from year to year): ID: Internal MSB Task Puncture: Internal MSB task for unique grid box. The data was added in 2015, before there was no value. Time: It was used until 2014 to indicate the date of statistical values. As of 2015, dates will be stored in the “Date” field. Temp: Temperature in degrees Celsius 2 m above ground at 12 UTC according to the calculation model for the current grid. RH: Relative humidity expressed in % 2 m above the ground at 12 UTC according to the calculation model for the current grid grid. Wind speed: Wind speed in m/s (medium wind) 10 m above the ground at 12 UTC according to the calculation model for the current grid pane. Downstairs: Precipitation current day 18 UTC-18 UTC the previous day according to the calculation model for the current grid grid. FFMC: Fine Fuel Moisture Code represents the humidity of leaves and grass. The maximum water storage in this layer is less than 1 mm. Included in the FWI model. DMC: The Duff Moisture Code represents the humidity in a slightly deeper layer than the most superficial in the FWI model, e.g. moss and the upper part of the humus layer. The storage in this layer corresponds to about 15 mm of water. DC: The Drought Code shows the moisture content of thick compact humus layers (about 100 mm water). DC is part of the FWI model. ISI: The initial spread index. A measure of the rate of spread of the fire. An index used to calculate an FWI. Calculated from FFMC and reinforced by wind speed. BUI: Buildup index. Can be seen as a general measure of humidity for the slightly deeper soil layers. An index value used to calculate a fire risk value, FWI. Weighted average of DMC and DC. FWI: Fire Weather Index. Fire risk value calculated from ISI and BUI, which in turn are based on three basic values for moisture content in different layers (FFMC, DMC and DC). The input to the calculation is the daily rainfall as well as temperature, relative humidity and wind speed in the middle of the day. FWI index: Index of spread risk and fire behaviour in forest land. Based on the basic value FWI (see above). Currently divided into six different index levels (1, 2, 3, 4, 5, 5E) where index 1 is the lowest risk and index 5E is the highest risk. Fuel dehydration: Index values for the dehydration of the fuel and the lower layers of soil that are most important for a forest fire. Currently divided into six different index levels (1, 2, 3, 4, 5, 5E) where index 1 is the lowest risk and index 5E is the highest risk. Medium: Daily average temperature 2 m above ground according to SMHI calculation model for the current grid grid. RN: Dispersion rate in m/min for fire in uncut, unclaimed last year weeds. GFI: Fire risk levels for grass fires, the following indications are used: Very large grass fire risk (6) High Grass Fire risk (5) Moderate grass fire risk (4) Small grass fire risk (3) End of Grass Fire Season (2) Snow — Snow-covered land (1) Data missing/Not season (-1) Wind direction: Wind direction in degrees from where the wind comes from (division 360 degrees, 180 degrees equivalent to southern wind) at 12 UTC according to the calculation model for the current grid pane. E: The east-west position (centre) of the grid pane specified in SWEREF 99 TM. NOTE: prior to 2015, this information was entered in box ‘y’. N: The north-south position of the grid (centre point) specified in SWEREF99 TM. NOTE: prior to 2015, this information was entered in box “x”. Municipality: The commune code of the municipality within which the coordinate in the fields “E” and “N” is located.
On March 2, 2022 DC Health announced the District’s new COVID-19 Community Level key metrics and reporting. COVID-19 cases are now reported on a weekly basis. District of Columbia Fire and Emergency Medical Services testing for the number of positive tests, quarantined, returned to work and lives lost. Due to rapidly changing nature of COVID-19, data for March 2020 is limited.General Guidelines for Interpreting Disease Surveillance DataDuring a disease outbreak, the health department will collect, process, and analyze large amounts of information to understand and respond to the health impacts of the disease and its transmission in the community. The sources of disease surveillance information include contact tracing, medical record review, and laboratory information, and are considered protected health information. When interpreting the results of these analyses, it is important to keep in mind that the disease surveillance system may not capture the full picture of the outbreak, and that previously reported data may change over time as it undergoes data quality review or as additional information is added. These analyses, especially within populations with small samples, may be subject to large amounts of variation from day to day. Despite these limitations, data from disease surveillance is a valuable source of information to understand how to stop the spread of COVID19.