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COVID-19 affects people differently, in terms of infection with the virus SARS-CoV-2 and mortality rates. In this Special Feature, we focus on some of the sex differences that characterize this pandemic. Share on Pinterest The data that are available so far indicate that there are significant differences between how the sexes respond to the new coronavirus.

All data and statistics are based on publicly available data at the time of publication. Some information may be out of date. Visit our coronavirus hub for the most recent information on the COVID-19 pandemic.

There are many ways in which the pandemic itself affects peoples day-to-day lives, and gender understood as the ensemble of social expectations, norms, and roles we associate with being a man, woman, trans- or nonbinary person plays a massive part.

On a societal level, COVID-19 has affected cis- and transwomen, for example, differently to how it has cismen, transmen, and nonbinary people. Reproductive rights, decision making around the pandemic, and domestic violence are just some key areas where the pandemic has negatively impacted women.

However, sex differences understood as the biological characteristics we associate with the sex that one is assigned at birth also play an undeniable role in an epidemic or pandemic.

While sex and gender are, arguably, inextricably linked in healthcare, as in every other area of our lives, in this Special Feature, we will focus primarily on the infection rates of SARS-CoV-2 and the mortality rates that COVID-19 causes, broken down by sex.

In specialized literature, these effects fall under the umbrella term of primary effects of the pandemic, while the secondary impact of the pandemic has deeper social and political implications.

Throughout this feature, we use the binary terms man and woman to accurately reflect the studies and the data they use. Sex-disaggregated data lacking

Before delving deeper into the subject of sex differences in COVID-19, it is worth noting that the picture is bound to be incomplete, as not all countries have released their sex-disaggregated data.

A report appearing on the blog of the journal BMJ Global Health on March 24, 2020, reviewed data from 20 countries that had the highest number of confirmed cases of COVID-19 at the time.

Of these 20 countries, Belgium, Malaysia, Netherlands, Portugal, Spain, United Kingdom, and the United States of America did not provide data that was disaggregated, or broken down, by sex.

At the time, the authors of the BMJ report appealed to these countries and others to provide sex specific data.

Anna Purdie, from the University College London, United Kingdom, and her colleagues, noted: We applaud the decision by the Italian government to publish data that are fully sex- and age-disaggregated. Other countries [] are still not publishing national data in this way. We understand but regret this oversight.
At a minimum, we urgently call on countries to publicly report the numbers of diagnosed infections and deaths by sex. Ideally, countries would also disaggregate their data on testing by sex.

Anna Purdie et al.

Since then, countries that include Belgium, the Netherlands, Portugal, and Spain have made their data available.

The U.K. have made only a part of the sex-disaggregated data available for England and Wales, without covering Scotland and Northern Ireland while Malaysia and the U.S. have not made their sex-disaggregated data available at all.

At the time of writing this article, the U.S. still have not released their sex-disaggregated data despite the country having the highest number of COVID-19 cases in the world.

For more research-backed information and resources for mens health, please visit our dedicated hub. Men more than twice as likely to die

Global Health 5050, an organization that promotes gender equality in healthcare, has rounded up the total and partial data that is available from the countries with the highest numbers of confirmed COVID-19 cases.

According to their data gathering, the highest ratio of male to female deaths, as a result of COVID-19, is in Denmark and Greece: 2.1 to 1.

In these countries, men are more than twice as likely to die from COVID-19 as women. In Denmark, 5.7% of the total number of cases confirmed among men have resulted in death, whereas 2.7% of women with confirmed COVID-19 have died.

In the Republic of Ireland, the male to female mortality ratio is 2 to 1, while Italy and Switzerland have a 1.9 to 1 ratio each.

The greatest parity between the genders from countries that have submitted a full set of data are Iran, with 1.1 to 1, and Norway, with 1.2 to 1.

In Iran, 5.4% of the women patients have died, compared with 5.9% of the men. In Norway, these numbers stand at 1.3% and 1.1%, respectively.

China has a ratio of 1.7, with 2.8% of women having died, compared with 4.7% of men.
Infection rates in womenand men

A side-by-side comparison of infection rates between the sexes does not explain the higher death rates in men, nor is there enough data available to draw a conclusion about infection rates broken down by sexes.

However, it is worth noting that in Denmark, where men are more than twice as likely to die of COVID-19 as women, the proportion of women who contracted the virus was 54%, while that of men was 46%.

By contrast, in Iran, where the ratio of deaths between men and women is less different (1.1 to 1), just 43% of cases are female compared with 57% cases in men.

Until we know the proportion of people from each sex that healthcare professionals are testing, it will be difficult to fully interpret these figures.

What we do know so far is that, overall, nine of the 18 countries that have provided complete sex-disaggregated data have more COVID-19 cases among women than they do among men. Six of the 18 countries have more cases among men than they do among women.

Norway, Sweden, and Germany have a 5050% case ratio.

Other countries where more women have developed COVID-19 include:
Switzerland (53% of women to 47% of men)Spain (51% to 49%)The Netherlands (53% to 47%)Belgium (55% to 45%)South Korea (60% to 40%)Portugal (57% to 43%)Canada (52% to 48%)Republic of Ireland (52% to 45%)

Greece, Italy, Peru, China, and Australia all have a higher number of confirmed cases among men than women.Why are men more likely to die?

Part of the explanation for why the new coronavirus seems to cause more severe illness in men is down to biological sex differences.

Womens innate immune response plays a role. Experts agree that there are sex differences, such as sex chromosomes and sex hormones, that influence how a persons immunity responds to a pathogen.

As a result, women are in general able to mount a more vigorous immune response to infections [and] vaccinations. With previous coronaviruses, specifically, some studies in mice have suggested that the hormone estrogen may have a protective role.

For instance, in the study above, the authors note that in male mice there was an exuberant but ineffective cytokine response. Cytokines are responsible for tissue damage within the lungs and leakage from pulmonary blood vessels.

Estrogens suppress the escalation phase of the immune response that leads to increased cytokine release. The authors showed that female mice treated with an estrogen receptor antagonist died at close to the same rate as the male mice.

As some researchers have noted, lifestyle factors, such as smoking and alcohol consumption, which tend to occur more among men, may also explain the overall higher mortality rates among men.

Science has long linked such behaviors with conditions that we now know are likely to negatively influence the outcome of patients with COVID-19 cardiovascular disease, hypertension, and chronic lung conditions. Why women might be more at risk

On the other hand, the fact that societies have traditionally placed women in the role of caregivers a role which they continue to fulfill predominantly and the fact that the vast majority of healthcare workers are women could place them at a higher risk of ontracting the virus and might explain the higher infection rates in some countries.

An analysis of 104 countries by the World Health Organization (WHO) found that Women represent around 70% of the health workforce. In China, women make up more than 90% of healthcare workers in Hubei province.

These data emphasize the gendered nature of the health workforce and the risk that predominantly female health workers incur, write the authors of a report on the gendered impacts of the pandemic that appears in The Lancet.

Although we cannot yet draw definitive conclusions because sex-disaggregated data is not yet available from all the countries affected, The Lancet report looks at previous epidemics for clues.

During the 201416 west African outbreak of Ebola virus disease, the authors write, gendered norms meant that women were more likely to be infected by the virus, given their predominant roles as caregivers within families and as frontline healthcare workers.

The authors also call out for governments and health institutions to offer and analyze data on sex and gender differences in the pandemic.
Why sex-disaggregated data are urgent

The report in The Lancet reads, Recognising the extent to which disease outbreaks affect women and men differently is a fundamental step to understanding the primary and secondary effects of a health emergency on different individuals and communities, and for creating effective, equitable policies and interventions.

For instance, identifying the key difference that makes women more resilient to the infection could help create drugs that also strengthen mens immune response to the virus.

Devising policies and intervention strategies that consider the needs of women who work as frontline healthcare workers could help prevent the higher infection rates that we see among women.

Finally, men and women tend to react differently to potential vaccines and treatments, so having access to sex-disaggregated data is crucial for conducting safe clinical trials.

As Anna Purdie who also works for Global Health 5050 and her colleagues summarize in their article, Sex-disaggregated data are essential for understanding the distributions of risk, infection, and disease in the population, and the extent to which sex and gender affect clinical outcomes.
Understanding sex and gender in relation to global health should not be seen as an optional add-on but as a core component of ensuring effective and equitable national and global health systems that work for everyone. National governments and global health organizations must urgently face up to this reality.

Anna Purdie et al

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NHL playoff watch: Are the Rangers and Wild both on the ropes?

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NHL playoff watch: Are the Rangers and Wild both on the ropes?

As the defending Presidents’ Trophy winners, the New York Rangers were envisioned as a playoff team again in 2024-25. As the team on top of the league standings in early December, similar words could be written about the Minnesota Wild.

And yet, heading into Wednesday night’s matchup between the clubs (7 p.m. ET, ESPN+), nothing is certain about either team’s playoff chances after the pair has gone 8-9-3 in the past 10 games apiece.

The Wild enter the game in a playoff position, and have a 91.0% chance to make the playoffs per Stathletes. A key part of that is the team’s remaining strength of schedule; their remaining opponents have a 46.0% winning percentage, which is the second-easiest path. (Only the New Jersey Devils face a weaker slate in the final stretch.)

Compare that to the Rangers, who have a 27.3% chance, and will begin this game on the outside looking in. New York’s remaining slate is considerably more difficult; a 54.1% opponents’ winning percentage ranks as the second toughest, behind only the Detroit Red Wings.

If the Wild qualify as the first wild card, their likely first-round opponent is the Vegas Golden Knights; if they land in the second wild-card position, their likely opponent is the Winnipeg Jets. Unfortunately, Minnesota went 0-3 against both teams this season.

The Rangers’ more likely outcome as a playoff entrant is as the second wild card, which earns them a matchup against the Washington Capitals; the Caps have won all three games against New York this season. The Rangers could wind up as the first wild card, earning a matchup against the Atlantic Division champ. They went 1-2 against the Toronto Maple Leafs, 0-2 against the Florida Panthers (with one more game coming up on April 14), and 0-1 against the Tampa Bay Lightning (with games coming up on April 7 and April 17).

So, the future isn’t blindingly bright in the playoffs for these teams. But all you need is a ticket in, and unexpected things can happen!

There are just over two weeks left until the season’s end on April 17, and we’ll help you track it all with the NHL playoff watch. As we traverse the final stretch, we’ll provide details on all the playoff races, along with the teams jockeying for position in the 2025 NHL draft lottery.

Note: Playoff chances are via Stathletes.

Jump ahead:
Current playoff matchups
Today’s schedule
Yesterday’s scores
Expanded standings
Race for No. 1 pick

Current playoff matchups

Eastern Conference

A1 Toronto Maple Leafs vs. WC1 Ottawa Senators
A2 Tampa Bay Lightning vs. A3 Florida Panthers
M1 Washington Capitals vs. WC2 Montreal Canadiens
M2 Carolina Hurricanes vs. M3 New Jersey Devils

Western Conference

C1 Winnipeg Jets vs. WC2 Minnesota Wild
C2 Dallas Stars vs. C3 Colorado Avalanche
P1 Vegas Golden Knights vs. WC1 St. Louis Blues
P2 Los Angeles Kings vs. P3 Edmonton Oilers


Wednesday’s games

Note: All times ET. All games not on TNT or NHL Network are available to stream on ESPN+ (local blackout restrictions apply).

Minnesota Wild at New York Rangers, 7 p.m.
Washington Capitals at Carolina Hurricanes, 7 p.m. (TNT)
Florida Panthers at Toronto Maple Leafs, 7:30 p.m.
Colorado Avalanche at Chicago Blackhawks, 9:30 p.m. (TNT)
Seattle Kraken at Vancouver Canucks, 10:30 p.m.


Tuesday’s scoreboard

Washington Capitals 4, Boston Bruins 3
Montreal Canadiens 3, Florida Panthers 2 (OT)
Buffalo Sabres 5, Ottawa Senators 2
Columbus Blue Jackets 8, Nashville Predators 4
Tampa Bay Lightning 4, New York Islanders 1
St. Louis Blues 2, Detroit Red Wings 1 (OT)
Utah Hockey Club 3, Calgary Flames 1
Edmonton Oilers 3, Vegas Golden Knights 2
Anaheim Ducks 4, San Jose Sharks 3 (SO)
Los Angeles Kings 4, Winnipeg Jets 1


Expanded standings

Atlantic Division

Points: 94
Regulation wins: 37
Playoff position: A1
Games left: 8
Points pace: 104.1
Next game: vs. FLA (Wednesday)
Playoff chances: 99.9%
Tragic number: N/A

Points: 93
Regulation wins: 38
Playoff position: A2
Games left: 8
Points pace: 103.1
Next game: @ OTT (Thursday)
Playoff chances: 99.9%
Tragic number: N/A

Points: 92
Regulation wins: 35
Playoff position: A3
Games left: 8
Points pace: 102.0
Next game: @ TOR (Wednesday)
Playoff chances: 99.9%
Tragic number: N/A

Points: 84
Regulation wins: 30
Playoff position: WC1
Games left: 8
Points pace: 93.1
Next game: vs. TB (Thursday)
Playoff chances: 99.8%
Tragic number: N/A

Points: 79
Regulation wins: 25
Playoff position: WC2
Games left: 8
Points pace: 87.5
Next game: vs. BOS (Thursday)
Playoff chances: 44.7%
Tragic number: N/A

Points: 75
Regulation wins: 26
Playoff position: N/A
Games left: 8
Points pace: 83.1
Next game: vs. CAR (Friday)
Playoff chances: 2.9%
Tragic number: 13

Points: 70
Regulation wins: 26
Playoff position: N/A
Games left: 8
Points pace: 77.6
Next game: vs. TB (Saturday)
Playoff chances: 0.1%
Tragic number: 8

Points: 69
Regulation wins: 23
Playoff position: N/A
Games left: 7
Points pace: 75.4
Next game: @ MTL (Thursday)
Playoff chances: 0.1%
Tragic number: 5


Metro Division

Points: 105
Regulation wins: 41
Playoff position: M1
Games left: 8
Points pace: 116.4
Next game: @ CAR (Wednesday)
Playoff chances: 100%
Tragic number: N/A

Points: 94
Regulation wins: 40
Playoff position: M2
Games left: 9
Points pace: 105.6
Next game: vs. WSH (Wednesday)
Playoff chances: 99.9%
Tragic number: N/A

Points: 87
Regulation wins: 35
Playoff position: M3
Games left: 6
Points pace: 93.9
Next game: vs. NYR (Saturday)
Playoff chances: 99.9%
Tragic number: N/A

Points: 77
Regulation wins: 24
Playoff position: N/A
Games left: 9
Points pace: 86.5
Next game: vs. COL (Thursday)
Playoff chances: 16.7%
Tragic number: 17

Points: 77
Regulation wins: 32
Playoff position: N/A
Games left: 8
Points pace: 85.3
Next game: vs. MIN (Wednesday)
Playoff chances: 27.3%
Tragic number: 15

Points: 74
Regulation wins: 25
Playoff position: N/A
Games left: 8
Points pace: 82
Next game: vs. MIN (Friday)
Playoff chances: 8.7%
Tragic number: 12

Points: 71
Regulation wins: 20
Playoff position: N/A
Games left: 7
Points pace: 77.6
Next game: @ STL (Thursday)
Playoff chances: 0.1%
Tragic number: 7

Points: 71
Regulation wins: 20
Playoff position: N/A
Games left: 6
Points pace: 76.6
Next game: @ MTL (Saturday)
Playoff chances: ~0%
Tragic number: 5


Central Division

Points: 106
Regulation wins: 40
Playoff position: C1
Games left: 7
Points pace: 115.9
Next game: @ VGK (Thursday)
Playoff chances: 100%
Tragic number: N/A

Points: 102
Regulation wins: 40
Playoff position: C2
Games left: 8
Points pace: 113.0
Next game: vs. NSH (Thursday)
Playoff chances: 100%
Tragic number: N/A

Points: 94
Regulation wins: 38
Playoff position: C3
Games left: 7
Points pace: 102.8
Next game: @ CHI (Wednesday)
Playoff chances: 99.9%
Tragic number: N/A

Points: 89
Regulation wins: 30
Playoff position: WC1
Games left: 6
Points pace: 96.0
Next game: vs. PIT (Thursday)
Playoff chances: 92.9%
Tragic number: N/A

Points: 88
Regulation wins: 33
Playoff position: WC2
Games left: 7
Points pace: 96.2
Next game: @ NYR (Wednesday)
Playoff chances: 91%
Tragic number: N/A

Points: 80
Regulation wins: 26
Playoff position: N/A
Games left: 7
Points pace: 87.5
Next game: vs. LA (Thursday)
Playoff chances: 0.4%
Tragic number: 7

Points: 62
Regulation wins: 23
Playoff position: N/A
Games left: 7
Points pace: 67.8
Next game: @ DAL (Thursday)
Playoff chances: 0%
Tragic number: E

Points: 51
Regulation wins: 18
Playoff position: N/A
Games left: 8
Points pace: 56.5
Next game: vs. COL (Wednesday)
Playoff chances: 0%
Tragic number: E


Pacific Division

Points: 98
Regulation wins: 42
Playoff position: P1
Games left: 8
Points pace: 108.6
Next game: vs. WPG (Thursday)
Playoff chances: 100%
Tragic number: N/A

Points: 93
Regulation wins: 37
Playoff position: P3
Games left: 8
Points pace: 103.1
Next game: @ UTA (Thursday)
Playoff chances: 99.9%
Tragic number: N/A

Points: 91
Regulation wins: 31
Playoff position: P2
Games left: 8
Points pace: 100.8
Next game: @ SJ (Thursday)
Playoff chances: 99.1%
Tragic number: N/A

Points: 82
Regulation wins: 26
Playoff position: N/A
Games left: 8
Points pace: 90.9
Next game: vs. ANA (Thursday)
Playoff chances: 13.9%
Tragic number: 11

Points: 81
Regulation wins: 26
Playoff position: N/A
Games left: 8
Points pace: 89.8
Next game: vs. SEA (Wednesday)
Playoff chances: 2.7%
Tragic number: 10

Points: 74
Regulation wins: 23
Playoff position: N/A
Games left: 8
Points pace: 82.0
Next game: @ CGY (Thursday)
Playoff chances: 0%
Tragic number: 3

Points: 68
Regulation wins: 25
Playoff position: N/A
Games left: 7
Points pace: 74.3
Next game: @ VAN (Wednesday)
Playoff chances: 0%
Tragic number: E

Points: 50
Regulation wins: 14
Playoff position: N/A
Games left: 8
Points pace: 55.4
Next game: vs. EDM (Thursday)
Playoff chances: 0%
Tragic number: E

Note: An “x” means that the team has clinched a playoff berth. An “e” means that the team has been eliminated from playoff contention.


Race for the No. 1 pick

The NHL uses a draft lottery to determine the order of the first round, so the team that finishes in last place is not guaranteed the No. 1 selection. As of 2021, a team can move up a maximum of 10 spots if it wins the lottery, so only 11 teams are eligible for the No. 1 pick. Full details on the process are here. Matthew Schaefer, a defenseman for the OHL’s Erie Otters, is No. 1 on the draft board.

Points: 50
Regulation wins: 14

Points: 51
Regulation wins: 18

Points: 62
Regulation wins: 23

Points: 68
Regulation wins: 25

Points: 70
Regulation wins: 26

Points: 69
Regulation wins: 23

Points: 71
Regulation wins: 20

Points: 71
Regulation wins: 20

Points: 74
Regulation wins: 23

Points: 74
Regulation wins: 25

Points: 75
Regulation wins: 26

Points: 77
Regulation wins: 32

Points: 77
Regulation wins: 24

Points: 80
Regulation wins: 26

Points: 81
Regulation wins: 26

Points: 82
Regulation wins: 26

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Roy: Duclair ‘god-awful’ during Isles’ 4-1 loss

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Roy: Duclair 'god-awful' during Isles' 4-1 loss

New York Islanders coach Patrick Roy said forward Anthony Duclair was “god-awful” in their loss to the Tampa Bay Lightning on Tuesday night, and that the veteran is failing to meet expectations.

Duclair played 12 minutes, 15 seconds in the Islanders’ 4-1 loss to the Lightning with zero points and finished at minus-1. He had only four shifts in the third period. It was the third straight game in which Duclair played 12:15 or less. He has averaged 15:03 in ice time this season, his first with the Islanders.

“He was god-awful. He was god-awful. He had a bad game. That’s why I didn’t play him a lot. And he’s lucky to be in the lineup. Sorry if I lose it on him right now, but that’s how I feel,” Roy said.

When asked what he’s seeing in Duclair’s game, the Islanders coach said “it’s an effort thing” for the veteran forward.

“He’s not skating, he’s not competing, he’s not moving his feet. He’s not playing up to what we expect from him,” Roy said.

Duclair has seven goals and four assists in 44 games with the Islanders, skating to a minus-15. The 29-year-old winger is averaging one point per 60 minutes — which would be a career low for the 11-year veteran. Duclair signed a four-year, $14-million free agent contract with the Islanders last summer and has a full no-trade clause through 2026.

New York is winless in its past six games, struggling down the stretch while chasing the final wild-card playoff spot in the Eastern Conference. The Islanders trail the Montreal Canadiens by five points with eight games to play.

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Canucks center Chytil could miss rest of season

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Canucks center Chytil could miss rest of season

VANCOUVER, British Columbia — Vancouver Canucks center Filip Chytil may miss the rest of the season after experiencing a setback in his attempt to return from another concussion.

Coach Rick Tocchet said Tuesday that Chytil has experienced good and bad days trying to work back. The 25-year-old from the Czech Republic has not played since getting concussed when he was hit from behind by Chicago’s Jason Dickinson on March 15.

“He would go out and skate and felt good, the next day not as good,” Tocchet said. “To be honest with you guys, does he play this year? Maybe the odds are against it. Plus you don’t want to put a guy in that type of position. But when a guy has good days and bad days, obviously you’re not going to play the guy.”

Asked if there was concern about Chytil’s hockey-playing career continuing because of his concussion history, Tocchet added he was not sure.

“I talked to him today and he said it was different than his last concussion,” Tocchet said. “The bad days aren’t as bad, so that’s a positive, so I think we’ve got to take the positive approach. Plus he’s got four, five months to rebuild himself, or who knows? We’ve just got to take it day by day with this guy right now.”

Vancouver acquired Chytil in late January as part of the return for trading J.T. Miller to the New York Rangers. Chytil has already had multiple concussions in the NHL and does not turn 26 until September.

The Canucks, who are making a desperate push to make the playoffs, are also not sure about the status of center Elias Pettersson, who has not played since getting injured March 22 against the Rangers. Tocchet said Pettersson was day to day.

Captain Quinn Hughes has missed time for a lower-body injury and winger Brock Boeser was temporarily sidelined by a concussion. All-Star goalie Thatcher Demko missed training camp and the beginning of the season as he worked his way back from a rare knee injury, then went down with another injury in February.

“There’s been a lot of things that’ve hit this team,” Tocchet said. “And you’re looking for culture stuff, right? Who’s all in and who’s not. When you have a lot of guys all buying in, you can withstand some stuff.”

The Canucks (34-27-13) are chasing the Minnesota Wild, St. Louis Blues and Calgary Flames for the final two playoff spots in the Western Conference as they get set to host the Seattle Kraken on Wednesday.

The odds of making a playoff run aren’t in Vancouver’s favor, but everyone on the team is staying committed, Demko said, even as injuries continue to ravage the lineup.

“I think as a group, we’ve been through a lot this year,” Demko said. “It’s obviously not an easy situation right now with some of the guys out, but I feel like our effort’s been there every game. We haven’t mailed it in, we’re not using it as an excuse. We’re showing up every night and giving it a solid effort. So really proud of the guys coming together and trying to get some wins here.

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