Yuval noah harari: the world after coronavirus

Mental Health

Financial losses often come with emotional strain, at the very point when people may be least likely to spend money on care for themselves.

If you are in severe distress, the number for the free, confidential National Suicide Prevention Hotline is 1-800-273-8255. It’s open at all hours. Or text HELLO to .

Many mental health practitioners do pro bono work or charge fees on a sliding scale. There does not appear to be a national directory of such providers, but there is no reason not to contact local ones to ask about low or no-cost services.

The National Alliance on Mental Illness maintains a help line that can provide referrals to local resources as well. Its number is 1-800-950-6264.

About the data

In data for the United States, The Times uses reports from state, county and regional health departments. Most governments update their data on a daily basis, and report cases and deaths based on an individual’s residence.

Not all governments report these the same way. The Times uses the total of confirmed and probable counts when they are available individually or combined. To see whether a state includes probable cases and deaths, visit the individual state pages listed at the bottom of this page.

For more, see answers to our Frequently Asked Questions about the methodology behind how we are collecting this data.

The Times has identified the following reporting anomalies or methodology changes in the data:

June 25:

New Jersey began reporting probable deaths, including those from earlier in the pandemic, causing a jump in the number of total deaths.

June 30:

New York City released deaths from earlier periods but did not specify when they were from.

July 27:

Texas began reporting deaths based on death certificates, causing a one-day increase.

Sept. 21:

Officials in Texas reported thousands of undated, backlogged cases, causing a spike in the state and national data.

Nov. 4:

Georgia began reporting probable deaths, causing a one-day increase.

Nov. 26:

Cases and deaths were lower because fourteen states reported no new data, and six states had only incomplete data from select counties.

Dec. 11:

Texas began reporting probable cases, resulting in a one-day increase of about 44,000 cases.

To see a detailed list of all reporting anomalies, visit the individual state pages listed at the bottom of this page.

The U.S. data includes cases and deaths that have been identified by public health officials as confirmed coronavirus patients, and also includes probable coronavirus cases and deaths when governments report them. Confirmed cases and deaths, which are widely considered to be an undercount of the true toll, are counts of individuals whose coronavirus infections were confirmed by a molecular laboratory test. Probable cases and deaths count individuals who meet criteria for other types of testing, symptoms and exposure, as developed by national and local governments.

Governments often revise data or report a single-day large increase in cases or deaths from unspecified days without historical revisions, which can cause an irregular pattern in the daily reported figures. The Times is excluding these anomalies from seven-day averages when possible.

Read more about the methodology and download county-level data for coronavirus cases in the United States from The New York Times on GitHub.

Cases at food production facilities

Early in the pandemic, cases emerged by the hundreds in food processing facilities. The outbreaks disrupted the country’s meat supply and led some of the hardest-hit plants to temporarily close.

In July, the Centers for Disease Control and Prevention reported more than 16,000 infections and 86 deaths tied to meat and poultry processing. But those numbers are almost certainly an undercount. Only 28 states provided data to the C.D.C., and many states and food processing companies have refused to provide case totals. Other large outbreaks have emerged on farms, in fruit or vegetable processing facilities and at plants where pet food is made.

	Cases	Location
Smithfield Foods pork processing facility	1,098	Sioux Falls, S.D.
Tyson Foods pork processing facility	1,031	Waterloo, Iowa
Tyson Foods pork processing facility	900	Logansport, Ind.
Tyson Foods beef processing facility	786	Dakota City, Neb.
JBS USA pork production facility	741	Worthington, Minn.

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The places hit hardest

The coronavirus has moved across the country in distinct phases, devastating one region, then another.

The Northeast experienced the worst this spring, as temporary morgues were deployed in New York City. Over the summer, cases spiked across the Sun Belt, prompting many states to tighten restrictions just weeks after reopening. By early fall, the virus was filling rural hospitals in the Midwest and West as it devastated communities that had for months avoided the pandemic’s worst. And as 2021 approached, the virus was simply everywhere, with cases emerging at or near record levels in much of the country.

The United States surpassed 3,000 deaths in a single day, and experts fear the worst is still to come.

The nation’s most populous places have all suffered tremendously. In Cook County, Ill., which includes Chicago, more than 7,200 people have died. In Los Angeles County, Calif., more than 488,000 people have had the virus, more than in most states. And in New York City, about one of every 345 residents has died.

But unlike in the early days of the pandemic, it is not so simple to say that big cities have been hit hardest. In the summer, cities along the United States-Mexico border added cases at the highest rates. For much of the fall, small and mid-sized cities in the Upper Midwest and West added cases at the highest rates. And by December, cities, suburbs and small towns alike were setting records.

Hot spots: Counties with the highest number of recent cases per resident

County	Total cases	Per 100,000	Daily avg.in last7 days	Per 100,000	Weekly cases per capita Fewer More
Bent, Colo.	892	15,994	28.7	514.9	March 1 Dec. 22
Guadalupe, N.M.	502	11,674	14.7	342.2
Crowley, Colo.	1,578	26,035	17.3	285.2
Dawson, Mont.	911	10,577	23.4	271.7
Lassen, Calif.	4,156	13,594	80.9	264.5
San Bernardino, Calif.	168,307	7,720	5,540.7	254.2
Lawrence, Ill.	1,715	10,939	37.3	237.8
Perry, Ill.	1,827	8,735	48.9	233.6
Glascock, Ga.	151	5,082	6.8	230
Perry, Tenn.	792	9,807	18.6	230

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Note: Recent cases are from the last seven days.

Because outbreaks in group settings where large numbers of people are in close quarters have been a major driver of the pandemic, The Times has paid special attention to cases in nursing homes, food processing plants, correctional facilities and colleges.

Information on these cases comes directly from official releases by governments, companies and institutions. The tables below show cases that have been identified since the beginning of the pandemic, and with the exception of the table for colleges and universities, only show groups of cases where 50 or more are related to a specific site.

Cases in jails and prisons

In American jails and prisons, more than 400,000 people have been infected and at least 1,800 inmates and correctional officers have died. During interviews with dozens of inmates across the country, many said they were frightened and frustrated by what prison officials have acknowledged has been an uneven response to the virus.

After more than 2,200 prisoners tested positive, a judge told San Quentin to reduce its population.

Sandy Dowell, 51, an inmate at Swannanoa Correctional Center for Women, a prison in North Carolina, said she feared for her life if the virus spreads inside the facility. She has lung disease, asthma and high blood pressure, and said she believed prisons were disregarding the lives of inmates in their handling of Covid-19. “A life is a life, isn’t it?” she said. “I mean, isn’t everyone’s life worth something?”

In early December, Ms. Dowell tested positive for the coronavirus.

	Cases	Location
Avenal State Prison	3,466	Avenal, Calif.
Substance Abuse Treatment Facility and State Prison	3,376	Corcoran, Calif.
Harris County jail	3,258	Houston, Texas
San Quentin State Prison	2,636	San Quentin, Calif.
Marion Correctional Institution	2,477	Marion, Ohio
Carson City Correctional Facility	2,278	Carson City, Mich.
High Desert State Prison	2,265	Susanville, Calif.
Central Michigan Correctional Facility	2,260	St. Louis, Mich.
State Correctional Institution at Dallas	2,255	Dallas, Pa.
Soledad prison	2,246	Soledad, Calif.

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Семейство коронавирусов и их классификация

Возбудителем COVID-2019 является определенный класс вирусов. Вирусы – это инфекционные агенты (паразиты), которые, проникая в клетки организма хозяина (человека, животного, растения), становятся причиной болезни. Зависимо от структуры различают разные виды вирусов: РНК-содержащие и ДНК-содержащие, которые в свою очередь вызывают различные типы заболеваний. Именно вирусы являются причиной респираторных, многих желудочно-кишечных, неврологических и других инфекций. Коронавирусы, о которых пойдет речь дальше, принадлежат к классу РНК-содержащих паразитов, вызывающих респираторные заболевания .

Коронавирусы (Coronaviridae) – это довольно большой перечень вирусов, которые способны инфицировать как животных, так и человека, вызывая респираторные синдромы разной сложности. Принадлежат к II группе патогенности.

Свое название они получили благодаря особому строению. На теле вируса есть специфические шиповидные отростки, из-за чего он выглядит как солнечная корона. Жизненный цикл всех коронавирусов примерно одинаковый. С помощью этих отростков коронавирус маскируется под молекулы S-протеинов, на которые реагируют особые рецепторы клеточной мембраны. Они захватывают «самозванцев» с «короной», после чего вирус с легкостью проникает внутрь клетки. Кстати, сравнение SARS-CoV-2 (возбудитель COVID-2019) и SARS-CoV-1 показало, что первый легче сцепляется с рецепторами, из-за чего заражение происходит намного легче. Это отличие делает его крайне опасным.

Проникая внутрь клетки, вирус начинает собирать свои белки в рибосоме, которая не может определить, является ли это РНК вируса или полезных для клетки белков. Уникальность коронавирусов в том, что они имеют очень крупные несегментированные РНК, из-за чего являются наиболее сложными среди всех вирусов по структуре. Из-за этого бороться с ними намного сложнее, чем с более простыми агентами .

Современная классификация вирусов довольно сложная. Если говорить отдельно о семействе Coronaviridae, то оно, наряду с Arteriviridae и Roniviridae, входит в отряд Nidovirales (вирусы, которые содержат одноцепочечную РНК). Что касается разновидностей коронавирусов, то на январь 2020 года ученым были известны, как минимум, 40 видов . Большинство из них впервые были обнаружены в 1930-х годах у домашних птиц. У животных они вызывают респираторные, неврологические, печеночные и желудочно-кишечные заболевания. Коронавирус человека впервые выделили D. Tyrrell и M. Bynoe в 1965 году от пациента с ОРЗ .

Человека поражают только 7 из известных на сегодня коронавирусов. И самые распространенные среди них: HCoV-229E, -OC43, -NL63 и -HKU1. Обычно они поражают верхние дыхательные пути, вызывая заболевания легкой или средней тяжести . Кроме того, как свидетельствуют научные данные, у большинства людей есть специфические антитела, благодаря которым вырабатывается устойчивость к наиболее распространенным коронавирусам .

Семейство Coronaviridae состоит из 2 подсемейств:

• Coronavirinae;
• Torovirinae.

Особый интерес для вирусологов представляет Coronavirinae. Это семейство включает в себя 4 рода вирусов:

• Alpha-;
• Beta-;
• Gamma-;
• Deltacoronavirus.

Род Betacoronavirus считается наиболее опасным для человека. Он содержит 4 подрода:

• A (включает бетакоронавирус 1 – BetaCoV 1, коронавирус человека – HCoV HKU1, коронавирус мышиных – MCoV, коронавирус кроликов – RbCoV HKU14);
• B (SARS-CoV);
• C (MERS-CoV, коронавирус нетопырей – Pi-BatCoV HKU5, косолапых кожанов – Ty-BatCoV HKU4);
• D (коронавирус ночных крыланов – Ro-BatCoV HKU9).

Torovirinae состоит из 2 родов:

• Torovirus;
• Bafinivirus.

Переносчиками большинства известных на сегодня коронавирусов являются млекопитающие.

Other significant clusters

The coronavirus has followed Americans wherever they gathered, spreading early this year, on cruise ships and at business conferences. As the country has reopened, new clusters have emerged at churches, restaurants and workplaces. Read more here about some of the country’s less-noticed coronavirus clusters. Because many states do not provide information about where the virus spread, no listing of clusters and local outbreaks will be complete.

	Cases	Location
U.S.S. Theodore Roosevelt	1,271	Guam
Savannah River Site nuclear reservation	686	Savannah River Site, S.C.
Newport News Shipbuilding	632	Newport News, Va.
Wynn Las Vegas Resorts	554	Las Vegas, Nev.
Los Angeles Apparel clothing manufacturing facilities	386	Los Angeles, Calif.

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Cases at colleges and universities

Some universities have decided to hold most or all classes online, but many others have reopened their campuses, often with extensive procedures and rules governing behavior and testing. In August and September, as the fall term began, college towns saw some of the highest per capita case growth in the country. And by November, as cases surged across the country, tens of thousands more cases emerged at universities.

More than 397,000 cases among students and employees at more than 1,800 institutions have been reported over the course of the pandemic, according to a Times database. At least 90 deaths have been reported, many of them in the spring, and most of them among employees, not students. But at least four students have died in recent weeks after contracting the virus.

Below are the 10 states with the most cases reported on campuses.

	Cases	Location
+ Texas	31,157 cases at 84 schools
+ Ohio	19,842 cases at 62 schools
+ Florida	18,810 cases at 129 schools
+ Pennsylvania	17,369 cases at 113 schools
+ Indiana	16,505 cases at 35 schools
+ Wisconsin	15,666 cases at 31 schools
+ Illinois	15,148 cases at 50 schools
+ Michigan	14,631 cases at 52 schools
+ New York	14,364 cases at 192 schools
+ Georgia	14,131 cases at 37 schools

Where new cases are higher and staying high

States where new cases are higher had a daily average of at least 15 new cases per 100,000 people over the past week. Charts show daily cases per capita and are on the same scale. Tap a state to see detailed map page.

7-day average

Last 14 days

Tennessee

March 1
Dec. 22

California

Oklahoma

Arizona

Alabama

Arkansas

West Virginia

Kansas

Ohio

Pennsylvania

Mississippi

Massachusetts

Delaware

Georgia

North Carolina

Texas

South Carolina

Louisiana

New Hampshire

Iowa

Florida

New York

New Jersey

Virginia

Washington

Maine

Oregon

Puerto Rico

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7-day average

Last 14 days

Tennessee

519,475

total cases

March 1
Dec. 22

California

1,968,430

Oklahoma

265,620

Arizona

470,351

Alabama

329,811

Arkansas

205,048

West Virginia

74,737

Kansas

208,109

Ohio

637,032

Pennsylvania

577,183

Mississippi

197,691

Massachusetts

331,174

Delaware

51,623

Georgia

579,957

North Carolina

491,242

Texas

1,632,297

South Carolina

278,055

Louisiana

290,960

New Hampshire

38,008

Iowa

270,294

Florida

1,223,007

New York

871,155

New Jersey

442,274

Virginia

314,481

Washington

232,204

Maine

19,743

Oregon

105,091

Puerto Rico

103,527

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Where new cases are higher but going down

7-day average

Last 14 days

Rhode Island

March 1
Dec. 22

Indiana

Utah

Nevada

Idaho

New Mexico

South Dakota

Kentucky

Wyoming

Nebraska

Illinois

Connecticut

Wisconsin

Missouri

Montana

Alaska

Colorado

Minnesota

North Dakota

Maryland

Michigan

Washington, D.C.

Vermont

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7-day average

Last 14 days

Rhode Island

81,187

total cases

March 1
Dec. 22

Indiana

474,797

Utah

255,085

Nevada

207,351

Idaho

132,950

New Mexico

132,075

South Dakota

95,509

Kentucky

250,089

Wyoming

42,379

Nebraska

158,580

Illinois

913,265

Connecticut

168,960

Wisconsin

497,380

Missouri

393,488

Montana

78,017

Alaska

44,241

Colorado

315,397

Minnesota

401,070

North Dakota

90,459

Maryland

255,666

Michigan

503,980

Washington, D.C.

26,900

Vermont

6,608

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Where new cases are lower but going up

States where new cases are lower had a daily average of less than 15 new cases per 100,000 people over the past week. Charts show daily cases per capita and are on the same scale. Tap a state to see detailed map page.

The soap police

Asking people to choose between privacy and health is, in fact, the very root of the problem. Because this is a false choice. We can and should enjoy both privacy and health. We can choose to protect our health and stop the coronavirus epidemic not by instituting totalitarian surveillance regimes, but rather by empowering citizens. In recent weeks, some of the most successful efforts to contain the coronavirus epidemic were orchestrated by South Korea, Taiwan and Singapore. While these countries have made some use of tracking applications, they have relied far more on extensive testing, on honest reporting, and on the willing co-operation of a well-informed public. 

Centralised monitoring and harsh punishments aren’t the only way to make people comply with beneficial guidelines. When people are told the scientific facts, and when people trust public authorities to tell them these facts, citizens can do the right thing even without a Big Brother watching over their shoulders. A self-motivated and well-informed population is usually far more powerful and effective than a policed, ignorant population. 

Consider, for example, washing your hands with soap. This has been one of the greatest advances ever in human hygiene. This simple action saves millions of lives every year. While we take it for granted, it was only in the 19th century that scientists discovered the importance of washing hands with soap. Previously, even doctors and nurses proceeded from one surgical operation to the next without washing their hands. Today billions of people daily wash their hands, not because they are afraid of the soap police, but rather because they understand the facts. I wash my hands with soap because I have heard of viruses and bacteria, I understand that these tiny organisms cause diseases, and I know that soap can remove them. 

The Royal Palace of Caserta Graziano Panfili

Lungomare di Forte dei Marmi, in Versilia Graziano Panfili

But to achieve such a level of compliance and co-operation, you need trust. People need to trust science, to trust public authorities, and to trust the media. Over the past few years, irresponsible politicians have deliberately undermined trust in science, in public authorities and in the media. Now these same irresponsible politicians might be tempted to take the high road to authoritarianism, arguing that you just cannot trust the public to do the right thing. 

Normally, trust that has been eroded for years cannot be rebuilt overnight. But these are not normal times. In a moment of crisis, minds too can change quickly. You can have bitter arguments with your siblings for years, but when some emergency occurs, you suddenly discover a hidden reservoir of trust and amity, and you rush to help one another. Instead of building a surveillance regime, it is not too late to rebuild people’s trust in science, in public authorities and in the media. We should definitely make use of new technologies too, but these technologies should empower citizens. I am all in favour of monitoring my body temperature and blood pressure, but that data should not be used to create an all-powerful government. Rather, that data should enable me to make more informed personal choices, and also to hold government accountable for its decisions. 

If I could track my own medical condition 24 hours a day, I would learn not only whether I have become a health hazard to other people, but also which habits contribute to my health. And if I could access and analyse reliable statistics on the spread of coronavirus, I would be able to judge whether the government is telling me the truth and whether it is adopting the right policies to combat the epidemic. Whenever people talk about surveillance, remember that the same surveillance technology can usually be used not only by governments to monitor individuals — but also by individuals to monitor governments. 

The coronavirus epidemic is thus a major test of citizenship. In the days ahead, each one of us should choose to trust scientific data and healthcare experts over unfounded conspiracy theories and self-serving politicians. If we fail to make the right choice, we might find ourselves signing away our most precious freedoms, thinking that this is the only way to safeguard our health.

The emergency pudding

One of the problems we face in working out where we stand on surveillance is that none of us know exactly how we are being surveilled, and what the coming years might bring. Surveillance technology is developing at breakneck speed, and what seemed science-fiction 10 years ago is today old news. As a thought experiment, consider a hypothetical government that demands that every citizen wears a biometric bracelet that monitors body temperature and heart-rate 24 hours a day. The resulting data is hoarded and analysed by government algorithms. The algorithms will know that you are sick even before you know it, and they will also know where you have been, and who you have met. The chains of infection could be drastically shortened, and even cut altogether. Such a system could arguably stop the epidemic in its tracks within days. Sounds wonderful, right?

The downside is, of course, that this would give legitimacy to a terrifying new surveillance system. If you know, for example, that I clicked on a Fox News link rather than a CNN link, that can teach you something about my political views and perhaps even my personality. But if you can monitor what happens to my body temperature, blood pressure and heart-rate as I watch the video clip, you can learn what makes me laugh, what makes me cry, and what makes me really, really angry. 

It is crucial to remember that anger, joy, boredom and love are biological phenomena just like fever and a cough. The same technology that identifies coughs could also identify laughs. If corporations and governments start harvesting our biometric data en masse, they can get to know us far better than we know ourselves, and they can then not just predict our feelings but also manipulate our feelings and sell us anything they want — be it a product or a politician. Biometric monitoring would make Cambridge Analytica’s data hacking tactics look like something from the Stone Age. Imagine North Korea in 2030, when every citizen has to wear a biometric bracelet 24 hours a day. If you listen to a speech by the Great Leader and the bracelet picks up the tell-tale signs of anger, you are done for.

Veduta della Casa Universitaria in Lodi Graziano Panfili

Spiaggia di Porto San Giorgio, Mare Adriatico Graziano Panfili

You could, of course, make the case for biometric surveillance as a temporary measure taken during a state of emergency. It would go away once the emergency is over. But temporary measures have a nasty habit of outlasting emergencies, especially as there is always a new emergency lurking on the horizon. My home country of Israel, for example, declared a state of emergency during its 1948 War of Independence, which justified a range of temporary measures from press censorship and land confiscation to special regulations for making pudding (I kid you not). The War of Independence has long been won, but Israel never declared the emergency over, and has failed to abolish many of the “temporary” measures of 1948 (the emergency pudding decree was mercifully abolished in 2011). 

Even when infections from coronavirus are down to zero, some data-hungry governments could argue they needed to keep the biometric surveillance systems in place because they fear a second wave of coronavirus, or because there is a new Ebola strain evolving in central Africa, or because . . . you get the idea. A big battle has been raging in recent years over our privacy. The coronavirus crisis could be the battle’s tipping point. For when people are given a choice between privacy and health, they will usually choose health.

Health Insurance

Millions of Americans most likely lost their health coverage along with their jobs. And many others can no longer afford the policy they were paying for on their own.

If your situation has recently changed, you have more options now than in previous crises. But navigating the complex web of alternatives and figuring out how to qualify can be a challenge.

If your income has dwindled to almost nothing. People earning very little are likely to be eligible for the federal-state health insurance program known as Medicaid in 36 states and the District of Columbia. Because of the Affordable Care Act, most states now allow all residents to qualify for Medicaid if their household’s monthly income is below a certain threshold — around $1,400 a month for a single person or $2,950 for a family of four. That calculation should include any normal unemployment benefits you are receiving, but not the additional $600 a week being paid temporarily and not the direct stimulus payment authorized under recent relief legislation.

If your income is too high for Medicaid. Those earning more can probably buy coverage through the marketplaces established under the Affordable Care Act — and you may qualify for substantial subsidies. If you lose your job for any reason, you are permitted to sign up during a special enrollment period.

People who want to buy coverage even in the absence of a job loss might be able to do so if they live in states that run their own marketplaces; some of those states have established special enrollment periods. But the Trump administration decided in April that it would not reopen the federal Healthcare.gov marketplaces to new customers. Those marketplaces are used in 38 states.

Mortgage Relief

Millions of homeowners have pressed the pause button on their mortgage payments, a form of relief extended by the CARES Act. Not all homeowners are covered under the new law, however, and many borrowers seeking relief have been given inaccurate information. Here’s what you need to know.

Who is covered by the law? Homeowners with mortgages backed by the federal government are permitted to temporarily suspend their payments, a process called forbearance, for up to a year. This covers about 70 percent of mortgage holders and includes loans backed by Fannie Mae or Freddie Mac, loans insured by the Federal Housing Administration (known as F.H.A. loans) and those guaranteed by the Department of Veterans Affairs and the Department of Agriculture.

The Coronavirus Outbreak ›

Latest Updates

Updated 
Dec. 23, 2020, 1:12 p.m. ET

About 30 percent of mortgage holders have loans owned by banks or other private investors. They are not covered by the new law, but many of these homeowners have received similar relief, often granted in three-month increments.

Who controls my mortgage? You can search your address on various government websites.

When does the CARES forbearance program end? The rules vary a bit, depending on the type of mortgage you have. If your loan is backed by Fannie Mae or Freddie Freddie Mac, for example, there is no precise end date to the policy — regulators will wind it down when they deem it appropriate.

Homeowners with loans insured by the Federal Housing Administration must contact their servicer and request an initial Covid-19 forbearance on or before Feb. 28.

Cases at nursing homes and long-term care facilities

Coronavirus cases have been reported in more than 28,000 nursing homes and other long-term care facilities, according to data collected by The New York Times from states, counties, the federal government and facilities themselves. More than 788,000 residents and employees of those homes have been infected, and more than 106,000 have died. That means that more than 35 percent of deaths from the virus in the United States have been tied to nursing homes and other long-term care facilities.

Read more about the isolation, depression and atrophy facing many nursing home residents as lockdowns persist.

“This disease creates the potential for a perfect storm in a long-term care facility — large groups of vulnerable people living together and a highly transmissible virus that may not cause symptoms in those who care for them,” said Dr. Daniel Rusyniak, the chief medical officer for Indiana’s state social services agency.

	Cases	Location
Brighton Rehabilitation & Wellness Center	466	Beaver, Pa.
Hebrew Home of Greater Washington	458	Rockville, Md.
North Ridge Health and Rehab	456	New Hope, Minn.
Fair Acres Geriatric Center	439	Lima, Pa.
Cedarbrook Senior Care and Rehabilitation	401	Allentown, Pa.
Bergen New Bridge Medical Center nursing home	379	Paramus, N.J.
Conestoga View Nursing and Rehabilitation	329	Lancaster, Pa.
Charlotte Hall Veterans Home	321	Charlotte Hall, Md.
Glendora Grand skilled nursing	309	Glendora, Calif.
New Jersey Veterans Memorial Home at Menlo Park	302	Edison, N.J.

What you can do

Experts’ understanding of how the Covid-19 works is growing. It seems that there are four factors that most likely play a role: how close you get to an infected person; how long you are near that person; whether that person expels viral droplets on or near you; and how much you touch your face afterwards. Here is a guide to the symptoms of Covid-19.

You can help reduce your risk and do your part to protect others by following some basic steps:

Keep your distance from others. Stay at least six feet away from people outside your household as much as possible.

Wear a mask outside your home. A mask protects others from your germs, and it protects you from infection as well. The more people who wear masks, the more we all stay safer.

Wash your hands often. Anytime you come in contact with a surface outside your home, scrub with soap for at least 20 seconds, rinse and then dry your hands with a clean towel.

Avoid touching your face. The virus can spread when our hands come into contact with the virus, and we touch our nose, mouth or eyes. Try to keep your hands away from your face unless you have just recently washed them.

Here’s a complete guide on how you can prepare for the coronavirus outbreak.