The New York Times is releasing a series of data files with cumulative counts of coronavirus cases in the United States, at the state and county level, over time. We are compiling this time series data from state and local governments and health departments in an attempt to provide a complete record of the ongoing outbreak.

Since late January, The Times has tracked cases of coronavirus in real time as they were identified after testing. Because of the widespread shortage of testing, however, the data is necessarily limited in the picture it presents of the outbreak.

We have used this data to power our maps and reporting tracking the outbreak, and it is now being made available to the public in response to requests from researchers, scientists and government officials who would like access to the data to better understand the outbreak.

The data begins with the first reported coronavirus case in Washington State on Jan. 21, 2020. We will publish regular updates to the data in this repository.

COVID cases and deaths for LA County and California State. Updated daily.

Data source: Johns Hopkins University (https://coronavirus.jhu.edu/us-map), Johns Hopkins GitHub (https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv). Code available: https://github.com/CityOfLosAngeles/covid19-indicators.

Context

COVID-19 is on a rise worldwide. It was first identified in the city of Wuhan in China in 2019 and has now spread into a global pandemic. California is currently the fourth largest affected state in USA. The state's confirmed cases have been on a rise since early March 2020 due to more testing capabilities. In this dire time, it is extremely important to understand the factors affecting the spread of the virus in California, identify susceptible population and predict the trajectory of the infected and dead cases on a daily basis.

Content

Update: 4 April 2020, 7:27 PM Pacific Time (PT)

This data contains information about confirmed cases (13927) and fatalities (321) due to COVID-19 in 58 California counties along with instructions provided by health agencies in all counties. A breakdown of confirmed cases in the cities of California is also provided. The information has been sourced from Los Angeles Times.

As mentioned by LA Times, "The tallies here are mostly limited to residents of California, which is the standard method used to count patients by the state’s health authorities. Those totals do not include people from other states who are quarantined here, such as the passengers and crew of the Grand Princess cruise ship that docked in Oakland."

Acknowledgements

LA Times - https://www.latimes.com/projects/california-coronavirus-cases-tracking-outbreak/

Inspiration

1. This dataset will be useful in understanding and predicting the trajectory of the infected and dead cases in California in the coming days.
2. It might also be useful for COVID19 Local US-CA Forecasting (Week 1) competition
3. The dataset can also highlight any need to update any health agency instructions to take further precautionary measures and save lives.

Please consider upvoting if the data is found useful in any way. If there are any improvement suggestions, do let me know.

In Los Angeles County, methamphetamine accounted for the highest share of overdose deaths among people experiencing homelessness (PEH) in the 12 months before and after the COVID-19 pandemic onset, contributing to approximately three-quarters of all overdose deaths in both years. Fentanyl ranked as the second leading cause of overdose death in both periods, but showed the largest increase in its contribution over the analyzed timeframe. This statistic depicts the percentage of deaths among people experiencing homelessness by overdose pre- and post-COVID-19 pandemic in Los Angeles County, by drug type.

In Los Angeles County, the number of deaths among people experiencing homelessness (PEH) had an overall increase when comparing the 12 months pre- and post-COVID-19. Among the leading death causes, drug overdose reported the biggest increase of 78 percent. Additionally, COVID-19 was the third leading cause of death from April 1, 2020 to March 31, 2021, resulting in 179 deaths during that time. This statistic depicts the number of deaths among people experiencing homelessness, 12 months pre- and post-COVID-19 pandemic, in Los Angeles County, by cause of death.

Wildlife strongly alter behavior in response to human disturbance; however, fundamental questions remain regarding the influence of human infrastructure and activity on animal movement. The Covid-19 pandemic created a natural experiment providing an opportunity to evaluate wildlife movement during a period of greatly reduced human activity. Speculation in scientific reviews and the media suggested that wildlife might be increasing movement and colonizing urban landscapes during pandemic slowdowns. However, theory predicts that animals should move and use space as efficiently as possible, suggesting that movement might actually be reduced relative to decreased human activity.

We quantified space use, movement, and resource-selection of 12 GPS-collared mountain lions (8 females, 4 males) occupying parklands in greater Los Angeles during the Spring 2020 California stay-at-home order when human activity was far below normal. We also tested the hypothesis that reduced traffic on Los Angeles...

People experiencing homelessness (PEH) were among the most likely to contract the novel coronavirus disease 2019 (COVID-19). Many PEH utilized high-density public places to satisfy their basic needs (e.g., soup kitchens for sustenance, public libraries for restrooms). This made it difficult for them to limit close contact with others and put them at increased risk of contracting and transmitting COVID-19. Furthermore, it was difficult to follow recommended protective measures--such as handwashing and social distancing--when living in shelters or on the streets. PEH were at higher risk of COVID-19 related hospitalization and death than the rest of the population. The poor living conditions of PEH accelerated aging, leading them to experience geriatric conditions and medical complications more typical of individuals 10-20 years older. They were also at increased risk of cardiovascular and respiratory disease, HIV/AIDS, and diabetes, all conditions that increase vulnerability to serious COVID-19-related complications and death. These risks were compounded by the fact that PEH also faced significant barriers to accessing quality health care. In the absence of protective action, it was estimated that more than 21,000 PEH would require hospitalization due to COVID-19, more than 7,000 would require critical care, and nearly 3,500 would die. Consequently, the COVID-19 pandemic made housing and health care for PEH one of the top priorities for the U.S. health care and public health systems. State and local governments across the country used federal relief funds to allocate private hotel rooms as protective shelter for vulnerable PEH. In Los Angeles County (LAC), which contains the largest unsheltered homeless population in the nation, 2,400 PEH were placed in hotels. COVID-19 response plans included accommodating up to 15,000 PEH in hotels who would then be moved to permanent housing in 90 days. This rapid push into housing amid a pandemic necessitated a delicate balance between social distancing and maintaining patients' basic needs, continuity of existing care, and personal and social well-being. Permanent supportive housing (PSH)--programs that provide immediate access to independent living situations coupled with support services--is the most effective approach for serving PEH. Numerous studies have demonstrated PSH's effectiveness in improving housing retention, quality of life, and HIV outcomes. Though evidence concerning its impact on other health outcomes, health behaviors, and health care utilization is limited, the National Academies of Sciences, Engineering, and Medicine has nonetheless recognized PSH as extremely beneficial for PEH's health. COVID-19 was what this organization termed a "housing-sensitive condition"--one whose transmissibility, course, and medical management are particularly influenced by homelessness. Consequently, the National Alliance to End Homelessness recommended the use of PSH as part of its framework to address COVID-19 and homelessness. However, significant questions remain about what types of PSH programs can best address COVID-19-related risk and promote patient-centered outcomes at a time of social and community disruption. There are two distinct approaches to implementing PSH: place-based (PB) PSH, or single-site housing placement in a congregate residence with on-site services, and scattered-site (SS) PSH, which uses apartments rented from a private landlord to house clients while providing mobile case management services. The strengths and weaknesses of these two approaches remain largely unknown but may have direct implications for adherence to COVID-19 prevention protocols and other health-related outcomes.

Death rate has been age-adjusted by the 2000 U.S. standard populaton. All-cause mortality is an important measure of community health. All-cause mortality is heavily driven by the social determinants of health, with significant inequities observed by race and ethnicity and socioeconomic status. Black residents have consistently experienced the highest all-cause mortality rate compared to other racial and ethnic groups. During the COVID-19 pandemic, Latino residents also experienced a sharp increase in their all-cause mortality rate compared to White residents, demonstrating a reversal in the previously observed mortality advantage, in which Latino individuals historically had higher life expectancy and lower mortality than White individuals despite having lower socioeconomic status on average. The disproportionately high all-cause mortality rates observed among Black and Latino residents, especially since the onset of the COVID-19 pandemic, are due to differences in social and economic conditions and opportunities that unfairly place these groups at higher risk of developing and dying from a wide range of health conditions, including COVID-19.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Summary statistics of anti-spike IgG responses by vaccine type and infection history.