The Montana COVID-19 Case and Test Data web service hosts COVID-19 statistics for the state of Montana by county. The data was derived from local health officials at the county level who reported cases to the Montana Department of Health and Human Services. DPHHS tabulated case data and then gave the data to the Montana State Library to publish through this web service. The daily updates were managed by the Disaster and Emergency Service State Emergency Coordination Center. The feature service is comprised of Montana's county geography with attributes that summarize Total COVID-19 cases by age (10-year groups), by sex (M/F/U), new cases, total deaths, hospitalization count, total recovered and the number of total active cases. The two tables store various stats that include the total number of tests completed, and the number of new tests completed for individual test dates; and individual case data which includes age group, sex, county or residence and recovery status. Montana public health agencies and the Governor's Coronavirus task Force actively worked to limit the spread of novel coronavirus in Montana. The Montana State Library aided this effort by geo-enabling public health information and emergency response data to help decision-makers, State Emergency Coordination Center and the Governor's Coronavirus Task Force understand the spread of the disease. This data and feature service is no longer maintained and the final update to this data was made on 05/05/2023.

View daily updates and historical trends for Montana Coronavirus Cases Currently Hospitalized. Source: US Department of Health & Human Services. Track eco…

Table tabulating all reported cases of COVID-19 by case. Attributes include the date reported to Communicable Disease Epidemiology Program (CDEpi), county of residence, age group, sex, hospitalization status, outcome, and the onset date.

The Montana COVID-19 Community Levels Table web service hosts a data table showing Montana COVID-19 CDC Community Levels data. This public use dataset has 11 data elements reflecting Montana COVID-19 community levels for all available counties. CDC looks at the combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days — to determine the COVID-19 community level. The COVID-19 community level is determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge. COVID-19 Community Levels can help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals. This feature service is no longer maintained and the final update to this data was made on 05/05/2023.

Statistics for COVID-19 related tests and hospitalizations for the state of Montana. This includes Total tests completed, new tests completed, and active hospitalizations.

Overview

As coronavirus cases have exploded across the country, states have struggled to obtain sufficient personal protective equipment such as masks, face shields, gloves and ventilators to meet the needs of healthcare workers. FEMA began distributing PPE from the national stockpile as well as PPE obtained from private manufacturers to states in March.

Initially, FEMA distributed materials based primarily on population. By late March, Its methods changed to send more PPE to hotspot locations, and FEMA claimed these decisions were data-driven and need-based. By late spring, the agency was considering requests from states as well.

Although all U.S. states and territories have received some amount of PPE from FEMA, the amounts of PPE states have per capita and per positive COVID-19 case vary widely.

The AP used this data in a story that ran July 7.

Findings

• Overall, low population, rural states have the most PPE per positive case as of mid-June. This generally held true across types of equipment.
• The states that had the highest number of total PPE items per coronavirus case as of mid-May were, in descending order: Alaska, Montana, Vermont, Hawaii, Wyoming, and North Dakota. The highest was Alaska with 1,579 PPE items per coronavirus case.
• The states that had the highest number of total items per case as of mid-June were largely the same states — Montana, Alaska, Hawaii, Vermont, Wyoming, and West Virginia. The highest was Montana with 1,125 PPE items per coronavirus case.
• Conversely, the states that had the lowest amounts of PPE per positive case in mid-May included hotspot states — Massachusetts, New York, Virginia, California, Nebraska, and Iowa. New Jersey was just a couple spots further down. The lowest was Massachusetts with 36 PPE items per coronavirus case.
• The states that had the lowest amounts of PPE per case as of mid-June were largely the same as well — Massachusetts, New York, Iowa, California, and Nebraska. The lowest was Massachusetts with 32 PPE items per coronavirus case.
• When evaluated on a per-capita basis rather than per positive coronavirus case, the picture is different. The District of Columbia received the most PPE per capita in both May and June, although the vast majority of the PPE it received was distributed as of mid-May. Vermont, Kansas, New Jersey, and North Dakota had the next highest numbers of PPE per capita as of both mid-May and mid-June.
• There is no clear pattern of FEMA distribution by party control of states.

About the data

These numbers include material distributed by FEMA and also those sold by private distributors under direction from FEMA. They include materials both delivered to and en route to states.

States have purchased PPE directly in addition to receiving PPE from FEMA or directed there by the agency, and this data only includes the latter categories.

FEMA also distributed and directed the distribution of gear to U.S. territories in addition to states, which are included in FEMA’s release linked below, but not are not included in this data.

FEMA has publicly distributed its breakdown of PPE delivery by state for May and June. FEMA did not provide comprehensive numbers for each state before May.

These numbers are cumulative, meaning that the numbers for May include items of PPE distributed prior to May 14, dating to when the agency began allocations on March 1. The June numbers include the May numbers and any new PPE distributions since then.

The population column, which was used to calculate the numbers of PPE items per state, came from data from the U.S Census Bureau. Since the Census releases annual population data, population data from 2019 was used for each state.

The numbers of coronavirus cases were pulled from the data released daily by Johns Hopkins University as of the dates that FEMA released its distribution numbers — May 14 and June 10.

Caveats

The data includes amounts of gear that had been delivered to the states or were en route as of the reporting dates.

All PPE item numbers above 1 million were rounded to the nearest hundred thousand by FEMA, but numbers lower than that were not rounded.

In some cases, gear headed to a state was rerouted because it was needed more somewhere else or a state decided it did not need it. In some instances, that resulted in states having higher numbers for certain supplies in May than in June.

Records of reported Counts of COVID-19 case counts in Malta from 2019-2021. Download is a zipped CSV file with readme.

This Project Tycho dataset includes a CSV file with COVID-19 data reported in UNITED STATES OF AMERICA: 2019-12-30 - 2021-07-31. It contains counts of cases, deaths, hospitalizations, and demographics. Data for this Project Tycho dataset comes from: "Alabama Department of Public Health Website Dashboard", "Arkansas Department of Health COVID-19 Website Dashboard", "California Health and Human Services Open Data Portal, California Department of Public Health COVID-19 Data", "Colorado Department of Public Health and Environment Open Data Website", "Connecticut Open Data Website, Department of Public Health COVID-19 Data", "Delaware Environmental Public Health Tracking Network, Delaware Health and Social Services Website", "Georgia Department of Public Health Website", "Illinois Department of Public Health Website", "Indiana Data Hub Website, Indiana State Department of Health COVID-19 Data", "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "Kentucky Department of Public Health COVID-19 Website Dashboard", "Maine Center for Disease Control & Prevention; Division of the Maine Department of Health and Human Services Website", "Maryland Department of Health COVID-19 Website Dashboard", "Minnesota Department of Health COVID-19 Website Dashboard", "Montana Department of Health & Human Services COVID-19 Website Dashboard", "New York State Department of Health Data Website", "COVID-19 Data Repository by The New York Times", "Ohio Department of Health COVID-19 website", "Pennsylvania Department of Health Data Website", "Tennessee Department of Health Website", "Texas Department of Health Services Website", "United States Centers for Disease Control and Prevention, COVID-19 Response", "Vermont Department of Health, Vermont Center for Geographic Information Open Geodata Portal", "Virginia Department of Health Website", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

This repository contains the sample, test and background data for the ClinSpEn-Clinical Cases sub-track. The direction of this sub-track is EN>ES.

ClinSpEn is part of the Biomedical WMT 2022 shared task, having the aim to promote the development and evaluation of machine translation systems adapted to the medical domain with three highly relevant sub-tracks: clinical cases, medical controlled vocabularies/ontologies, and clinical terms and entities extracted from medical content.

The dataset’s case reports were carefully selected to cover a wide range of aspects related to the disease: different types of patients (children, adults, elderly and pregnant people, babies), different comorbidities (cancer, mental health issues, immunosuppressed patients) and symptomatology (mild and severe presentations, dermatologic, immunologic and psychiatric manifestations, thrombosis, …). The reports were translated from English to Spanish by a professional medical translator on a first step and revised by a clinical expert on a second step.

The sample set files is made up of parallel txt files, with the Spanish version having a “.es” extension and the English files having a “.en” extension. Each report has been parallelized so that every sentence’s line number corresponds to the same sentence’s line number in both languages.

The test and background data is made up of a TSV file with three columns: document number, line number and English line. The clinical cases themselves include COVID-19 case reports as well as diverse content extracted from PubMed.

Related Links:

- Sub-track website with more information: https://temu.bsc.es/clinspen/

- WMT website: https://www.statmt.org/wmt22/

- CodaLab: https://codalab.lisn.upsaclay.fr/competitions/6696/

- ClinSpEn-CC (Clinical Cases): https://doi.org/10.5281/zenodo.6497350

- ClinSpEn-CT (Clinical Terms): https://doi.org/10.5281/zenodo.6497372

- ClinSpEn-OC (Ontology Concepts): https://doi.org/10.5281/zenodo.6497388

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Jekk tużah mill-ġdid jew jarrikkixxi dan is-sett ta’ data, jekk jogħġbok aqsam dan magħna.

_ Kull ringiela fiha d-data korrispondenti għal ġimgħa u pajjiż partikolari.Il-fajl jiġi aġġornat kull ġimgħa.

Jekk tużah mill-ġdid jew jarrikkixxi dan is-sett ta’ data, jekk jogħġbok aqsam dan magħna.