Context

Dataset aims to facilitate a state by state comparison of potential risk factors that may heighten Covid 19 transmission rates or deaths. It includes state by state estimates of: covid 19 positives/deaths, flu/pneumonia deaths, major city population densities, available hospital resources, high risk health condition prevalance, population over 60, and means of work transportation rates.

Content

The Data Includes:

1) Covid 19 Outcome Stats:

Covid_Death : Covid Deaths by State

Covid_Positive : Covid Positive Tests by State

2) US Major City Population Density by State: CBSA_Major_City_max_weighted_density

3) KFF Estimates of Total Hospital Beds by State:

Kaiser_Total_Hospital_Beds

4) 2018 Season Flu and Pneumonia Death Stats:

FLUVIEW_TOTAL_PNEUMONIA_DEATHS_Season_2018

FLUVIEW_TOTAL_INFLUENZA_DEATHS_Season_2018

5)US Total Rates of Flu Hospitalization by Underlying Condition:

Fluview_US_FLU_Hospitalization_Rate_....

6) State by State BRFSS Prevalance Rates of Conditions Associated with Higher Flu Hospitalization Rates

BRFSS_Diabetes_Prevalance BRFSS_Asthma_Prevalance BRFSS_COPD_Prevalance
BRFSS_Obesity BMI Prevalance BRFSS_Other_Cancer_Prevalance BRFSS_Kidney_Disease_Prevalance BRFSS_Obesity BMI Prevalance BRFSS_2017_High_Cholestoral_Prevalance BRFSS_2017_High_Blood_Pressure_Prevalance Census_Population_Over_60

7)State by state breakdown of Means of Work Transpotation:

COMMUTE_Census_Worker_Public_Transportation_Rate

Acknowledgements

Links to data sources:

https://worldpopulationreview.com/states/

https://covidtracking.com/data/

https://gis.cdc.gov/GRASP/Fluview/FluHospRates.html https://www.kff.org/health-costs/issue-brief/state-data-and-policy-actions-to-address-coronavirus/#stateleveldata

https://data.census.gov/cedsci/table?q=United%20States&tid=ACSDP1Y2018.DP05&hidePreview=true&vintage=2018&layer=VT_2018_040_00_PY_D1&cid=S0103_C01_001E

Tables: ACSST1Y2018.S1811 ACSST1Y2018.S0102

https://www.census.gov/library/visualizations/2012/dec/c2010sr-01-density.html

https://gis.cdc.gov/grasp/fluview/mortality.html

Inspiration

I hope to show the existence of correlations that warrant a deeper county by county analysis to identify areas of increased risk requiring increased resource allocation or increased attention to preventative measures.

The Chicago Department of Public Health (CDPH) receives weekly deidentified provisional death certificate data for all deaths that occur in Chicago, which can include both Chicago and non-Chicago residents from the Illinois Department of Public Health (IDPH) Illinois Vital Records System (IVRS). CDPH scans for keywords to identify deaths with COVID-19, influenza, or respiratory syncytial virus (RSV) listed as an immediate cause of death, contributing factor, or other significant condition. The percentage of all reported deaths that are attributed to COVID-19, influenza, or RSV is calculated as the number of deaths for each respective disease divided by the number of deaths from all causes, multiplied by 100. This dataset reflects death certificates that have been submitted to IVRS at the time of transmission to CDPH each week – data from previous weeks are not updated with any new submissions to IVRS. As such, estimates in this dataset may differ from those reported through other sources. This dataset can be used to understand trends in COVID-19, influenza, and RSV mortality in Chicago but does not reflect official death statistics. Source: Provisional deaths from the Illinois Department of Public Health Illinois Vital Records System.

Analysis from a Coronavirus (COVID-19) Infection Survey pilot, which has been testing for influenza (flu) and respiratory syncytial virus (RSV) since October 2022.

Provisional counts of the number of death occurrences in England and Wales due to coronavirus (COVID-19) and influenza and pneumonia, by age, sex and place of death.

NOTE: This dataset is no longer being updated but is being kept for historical reference. For current data on respiratory illness visits and respiratory laboratory testing data please see Influenza, COVID-19, RSV, and Other Respiratory Virus Laboratory Surveillance and Inpatient, Emergency Department, and Outpatient Visits for Respiratory Illnesses.

This dataset includes aggregated weekly metrics of the surveillance indicators that the Department of Public Health uses to monitor influenza activity in Chicago. These indicators include:

• Influenza-associated ICU hospitalizations for Chicago residents, which is a reportable condition in Illinois (HOSP_ columns)

• Influenza laboratory data provided by participating sentinel laboratories in Chicago (LAB_ columns)

• Influenza-like illness data for outpatient clinic visits and emergency department visits. (ILI_ columns)

For more information on ILINET, see https://www.cdc.gov/flu/weekly/overview.htm#anchor_1539281266932.

For more information on ESSENCE, see https://www.dph.illinois.gov/data-statistics/syndromic-surveillance

All data are provisional and subject to change. Information is updated as additional details are received. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources.

This dataset includes aggregated weekly data on the percent of emergency department visits and the percent of hospital inpatient admissions due to influenza-like illness (ILI), COVID-19, influenza, RSV, and acute respiratory illness. The Illinois Department of Public Health (IDPH) collects data for Emergency Department visits to all 185 acute care hospitals in Illinois. The data are submitted from IDPH to the CDC’s BioSense Platform for access and analysis by health departments via the ESSENCE system. The CDC National Syndromic Surveillance Program (NSSP) utilizes diagnostic codes and clinical terms to create definitions for diagnosed COVID-19, influenza, RSV, and acute respiratory illness. For more information on diagnostic codes and clinical terms used, visit: https://www.cdc.gov/nssp/php/onboarding-resources/companion-guide-ed-data-respiratory-illness.html The data is characterized by selected demographic groups including age group and race/ethnicity. The dataset also includes percent of weekly outpatient visits due to ILI as reported by several outpatient clinics throughout Chicago that participate in CDC’s Influenza-like Illness Surveillance Network (ILINet). For more information on ESSENCE, see https://www.dph.illinois.gov/data-statistics/syndromic-surveillance For more information on ILINet, see https://www.cdc.gov/fluview/overview/index.html#cdc_generic_section_3-outpatient-illness-surveillance All data are provisional and subject to change. Information is updated as additional details are received. At any given time, this dataset reflects data currently known to CDPH. Numbers in this dataset may differ from other public sources.

The Viral Respiratory Sentinel Positivity dataset contains data and statistics as published to the Viral Respiratory Diseases Data website for COVID-19, Influenza and RSV Sentinel Positivity. The data in this file updates each Wednesday and includes the following data fields for weekly test counts and percent positivity reported from laboratories in our sentinel surveillance network from the month of October 2023 through the most current month. section: (Positivity)level: (Statewide)metric: (respiratory pathogens corresponding to the main pathogen)pathogen: (COVID-19, Flu, RSV, Other)date: (week end date)mmwr_week: (week number)percenttotal_testspublish_date (date that all of the published values in this dataset were calculated/assembled and published)For more information, data definitions, and context, please visit Colorado’s Viral Respiratory Diseases data website (https://cdphe.colorado.gov/viral-respiratory-diseases-report).

The Viral Respiratory Syndromic Surveillance dataset contains data and statistics as published to the Viral Respiratory Diseases Data website for COVID-19, Influenza and RSV syndromic surveillance. The data in this file updates each Wednesday, and includes the following data fields for weekly diagnosed COVID-19, Influenza, and RSV test counts and proportions, and outpatient rates for COVID-19 & Influenza in emergency room departments 16 weeks from the most current date: section: (Syndromic)subsection: (Syndromic Data)level: (Statewide)metric: (ED COVID-19, Flu, and RSV, Outpatient COVID-19 & Flu)pathogen: (COVID-19, COVID-19-Like Illness, Flu, Influenza-Like Illness, RSV)mmwr_week: (week number)date: (week end date)countratedifferencepublish_date (date that all of the published values in this dataset were calculated/assembled and published)For more information, data definitions, and context, please visit Colorado’s Viral Respiratory Diseases data website (https://cdphe.colorado.gov/viral-respiratory-diseases-report).

The CDPHE Viral Respiratory Data Homepage dataset contains data and statistics as published to the Colorado Viral Respiratory Diseases Data website Homepage section. The data in this file updates each Wednesday, and includes weekly values as collected and reported from the last week through the most current date:section: (Homepage)subsection: (Hospital Admission Rates, Summary Table, Syndromic Data)level: (Statewide)metric: (ED COVID-19, Flu and RSV, ED Visits Diagnosed, Hospital Admission Rates, Weekly Hospital Admissions,Weekly Sentinel Positivity Rate)pathogen: (COVID-19, Flu, RSV)date:mmwr_week: (week number)countratedifferenceFor more information, data definitions, and context, please visit Colorado’s Viral Respiratory Diseases data website (https://cdphe.colorado.gov/viral-respiratory-diseases-report).

Data from the Opinions and Lifestyle Survey (OPN) on the attitudes to the coronavirus (COVID-19) vaccine booster and winter flu jabs, covering the period 18 to 22 August 2021.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

India reported over 44 million confirmed cases of the coronavirus (COVID-19) as of October 20, 2023. The number of people infected with the virus was declining across the south Asian country.

What is the coronavirus?

COVID-19 is part of a large family of coronaviruses (CoV) that are transmitted from animals to people. The name COVID-19 is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged. Symptoms of COVID-19 resemble that of the common cold, with fever, coughing, and shortness of breath. However, serious infections can lead to pneumonia, multi-organ failure, severe acute respiratory syndrome, and even death, if appropriate medical help is not provided.

COVID-19 in India

India reported its first case of this coronavirus in late January 2020 in the southern state of Kerala. That led to a nation-wide lockdown between March and June that year to curb numbers from rising. After marginal success, the economy opened up leading to some recovery for the rest of 2020. In March 2021, however, the second wave hit the country causing record-breaking numbers of infections and deaths, crushing the healthcare system. The central government has been criticized for not taking action this time around, with "#ResignModi" trending on social media platforms in late April. The government's response was to block this line of content on the basis of fighting misinformation and reducing panic across the country.

Awareness about COVID-19 disease by socio-demographic characteristics of participants in Manhiça and Quelimane.

Participants’ understanding of anti-COVID-19 measures.

Participants’ definitions of COVID-19 disease in Manhiça and Quelimane.