Il dataset contiene: i numeri totali dell’ultimo aggiornamento giornaliero disponibile e la variazione percentuale rispetto alla giornata precedente.

Le info messe a disposizione: geografia, giorno, data, totale casi positivi, andamento dei casi positivi x1000 abitanti, deceduti, incremento deceduti rispetto alla giornata precedente x100, letalità, totale dei ricoveri, incremento ricoveri rispetto alla giornata precedente x100, attualmente positivi, dimessi, tamponi effettuati, incremento tamponi rispetto alla giornata precedente x100 suddivisi per provincia, AUSL (quando possibile). I dati saranno aggiornati entro le ore 20 di ogni giorno.

****** ATTENZIONE!! Dal 24 giugno, il Ministero della Salute ha modificato il sistema di rilevazione dei dati sulla diffusione del Covid-19. I casi positivi non sono più indicati secondo la provincia di notifica bensì in base alla provincia di residenza o domicilio.

hospitalization

Observations show that high inability to test should be considered primarily, since it is often coupled with supposed ‘low risk’ of the other two classes w.r.t tests and deaths reported per million population.

Coronavirus Information Data (Covid-19) and Temperature in Semarang City.

2019 Novel Coronavirus COVID-19 (2019-nCoV) Visual Dashboard and Map:
https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

• Confirmed Cases by Country/Region/Sovereignty
• Confirmed Cases by Province/State/Dependency
• Deaths
• Recovered

Downloadable data:
https://github.com/CSSEGISandData/COVID-19

Additional Information about the Visual Dashboard:
https://systems.jhu.edu/research/public-health/ncov

Analysis of ‘Social center data, covid-19’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-datosabiertos-navarra-es-dataset-datos-centros-sociales-covid-19-01-07 on 16 January 2022.

--- Dataset description provided by original source is as follows ---

Information on the situation of social service centres for elderly and disabled in the face of the health crisis caused by COVID-19. The information is divided on the one hand, up to and including 30 April 2020, and on the other hand, from that date onwards.

--- Original source retains full ownership of the source dataset ---

Predicting total cases: RMSE for each model via 10-fold timeseries split validation in regards to number of input features.

Between March 2020 and May 2022, Gallup conducted a web survey on members of the Gallup Panel, a nationally representative sample of U.S. adults aged 18 and above, to assess attitudes and behaviors related to the COVID-19 pandemic.

From March 13 through April 26, 2020, approximately 1,200 responses were collected daily from a randomly selected sample of panel members. From April 27 to August 16, 2020, approximately 500 responses were collected daily. Between August 17, 2020 and December 5, 2021, the survey was conducted monthly with a two-week response period. From January to May 2022, the survey was conducted quarterly. Survey responses have been adjusted for the probability of selection and for nonresponse, with weights derived from data on gender, age, race, Hispanic ethnicity, education and region as reported in the latest Current Population Survey.

Dataset

This dataset was created by Wendell Balagot

Contents

Several nations are currently experiencing a significant increase in coronavirus (COVID-19), including Indonesia. A total of 34,874,744 confirmed cases with 1,097,497 deaths (case fatality rate (CFR) 3.1%) were reported in 216 countries based on data from World Health Organization. COVID-19 remains public health problem around the world. It is possible the climate could affect the transmission of COVID-19. The wind is one of the climate factors besides temperature, humidity, and rainfall. Wind speed data can be used to study the spread of COVID-19 cases., The wind speed data was taken from the Meteorology, Climatology, and Geophysics Agency's data website (https://dataonline.bmkg. go.id/home). The wind speed (maximum and mean) in Jakarta from the pandemic inception, specifically between March and September 2020. These records were obtained from the website of the Jakarta Provincial Health Office and the website of the Indonesian Meteorology, Climatology, and Geophysics Agency. Subsequently, the general information was converted into 31-week documentation. Furthermore, a basic map of Jakarta with neighboring community boundaries was obtained using the GADM Map and Data site. Coordinates for the weather monitoring stations were accessed online from (https://www.gps-latitude-longitude.com/).,

Introduction: During the coronavirus pandemic, changes in the way science is done and shared occurred, which motivates meta-research to help understand science communication in crises and improve its effectiveness. Objective: To study how many Spanish scientific papers on COVID-19 published during 2020 share their research data. Methodology: Qualitative and descriptive study applying nine attributes: (1) availability, (2) accessibility, (3) format, (4) licensing, (5) linkage, (6) funding, (7) editorial policy, (8) content and (9) statistics. Results: We analyzed 1340 papers, 1173 (87.5%) did not have research data. 12.5% share their research data of which 2.1% share their data in repositories, 5% share their data through a simple request, 0.2% do not have permission to share their data and 5.2% share their data as supplementary material. Conclusions: There is a small percentage that shares their research data, however it demonstrates the researchers' poor knowledge on how to properly share their research data and their lack of knowledge on what is research data.

Analysis of ‘Data COVID-19 Deaths Balearic Islands’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-catalegdades-caib-cat-api-views-ipug-5rim on 08 January 2022.

--- Dataset description provided by original source is as follows ---

Cases of deaths by COVID-19 in the Balearic Islands classified by islands. NOTE: Due to a possible delay in the notification of cases and outbreaks as well as due to the need to validate information, the data, especially from the last days, should be interpreted with caution.

--- Original source retains full ownership of the source dataset ---

Data Covid-19 of Indonesia

Dataset contains daily COVID‑19 mobility trends reports. It features daily changes in requests for directions by transportation type for all available country, regions, sub-regions, and cities. There is no demographic information about users, so no statements are available about the representativeness of usage against the overall population. The full data can be downloaded as a CSV. Data is compared to a baseline volume, which is usage on January 13, 2020. Website also includes visualization that displays daily usage data and can be filtered to display any region in the dataset.

Analysis of ‘Data COVID-19 Positivity in 7 Days Balearic Islands’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-catalegdades-caib-cat-api-views-na8p-wje9 on 08 January 2022.

--- Dataset description provided by original source is as follows ---

Data on positivity (quotient between positivized and tests performed) aggregated for periods of 7 days from the onset of the pandemic.

--- Original source retains full ownership of the source dataset ---

Linked COVID-19 Data derived from

Robert Koch Institute

using the COVID-19 Ontology

10.5281/zenodo.3757828

developed for the Linked COVID-19 Data Dashboard: http://covid19data.link

This files include data for

• covid19_rki*.ttl - single COVID-19 cases per day, collected by the RKI
  • https://www.arcgis.com/home/item.html?id=dd4580c810204019a7b8eb3e0b329dd6
  • "confirmed" is calcaulated by the column "Refdatum"
• covid19_rki_ger.ttl - COVID-19 cases per day for Germany, collected by the RKI
• covid19_rki_ger_cum.ttl - COVID-19 cases accumulated per day for Germany, collected by the RKI
• covid19_rki_fs.ttl - COVID-19 cases per day for the federal states in Germany, collected by the RKI
• covid19_rki_fs_cum.ttl - COVID-19 cases accumulated per day for the federal states in Germany, collected by the RKI

This RDF files are based on the NPGEO Corona Hub 2020

• https://opendata.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0.geojson
• https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0/data

Analysis of ‘Data COVID-19 Laboratory Activity Balearic Islands (Aggregate Data)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-catalegdades-caib-cat-api-views-3m2a-9368 on 08 January 2022.

--- Dataset description provided by original source is as follows ---

Aggregate data from laboratory tests performed since the onset of the pandemic related to COVID-19.

--- Original source retains full ownership of the source dataset ---

Predicting total deaths: RMSE for each model via 10-fold timeseries split validation in regards to number of input features.

Analysis of ‘Data COVID-19 Confirmed Cases Balearic Islands (By Municipalities)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-catalegdades-caib-cat-api-views-f7k2-5imm on 07 January 2022.

--- Dataset description provided by original source is as follows ---

Confirmed cases of the COVID-19 of the Balearic Islands classified by municipalities. NOTE: Due to a possible delay in the notification of cases and outbreaks as well as due to the need to validate information, the data, especially from the last days, should be interpreted with caution.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Data COVID-19 Aggregate Positivity Balearic Islands’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-catalegdades-caib-cat-api-views-pavg-mmpt on 08 January 2022.

--- Dataset description provided by original source is as follows ---

Data on aggregate positivity (quotient between positivized and tests performed) since the beginning of the pandemic.

--- Original source retains full ownership of the source dataset ---