In 2023, the coronavirus (COVID-19) is still present in Germany, affecting all of its federal states. Case numbers vary across age groups and genders. Based on current figures, among men, the most affected age group was 35-59 years. The same was true for women. These figures confirm that the virus can also affect younger age groups.

In past 24 hours, Isle of Man, Europe had N/A new cases, N/A deaths and N/A recoveries.

According to a survey conducted from August 20 to September 16, 2024, women in the United States were more prone to experience Long COVID than men. As of September 16, 2024, roughly 22 percent of all women in the U.S. had experienced Long COVID, compared to 14 percent of men. This statistic shows the percentage of all adults in the United States who ever had Long COVID from June 1, 2022 to September 16, 2024, by gender.

Note: Starting April 27, 2023 updates change from daily to weekly. Summary The cumulative number of positive COVID-19 cases among Maryland residents by gender: Female; Male; Unknown. Description The MD COVID-19 - Cases by Gender Distribution data layer is a collection of positive COVID-19 test results that have been reported each day by the local health department via the ESSENCE system. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Isle of Man recorded 110 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, Isle of Man reported 38008 Coronavirus Cases. This dataset includes a chart with historical data for Isle of Man Coronavirus Deaths.

This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Ghana. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

The coronavirus (COVID-19) has affected Germany across states and demographics. Based on current figures regarding confirmed cases, 51 percent of women and 49 percent of men have been infected with the virus. Even more statistical information and facts on the coronavirus pandemic are available here.

This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 449 women and 178 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time. This is Round 5 of the five surveys done so far.

This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Kenya. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 600 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys with an equal proportion of women and men. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.

Note: Starting April 27, 2023 updates change from daily to weekly. Summary The cumulative number of confirmed COVID-19 deaths among Maryland residents by gender: Female; Male; Unknown. Description The MD COVID-19 - Confirmed Deaths by Gender Distribution data layer is a collection of the statewide confirmed and probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by gender. A death is classified as confirmed if the person had a laboratory-confirmed positive COVID-19 test result. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Probable deaths are available from the MD COVID-19 - Probable Deaths by Gender Distribution data layer. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

The coronavirus (COVID-19) has led to over 183,000 deaths in Germany, as of 2024. When looking at the distribution of deaths by age, based on the figures currently available, most death occurred in the age group 80 years and older at approximately 118,938 deaths.

Brazil COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: Male data was reported at 0.000 Unit in 28 Jan 2025. This stayed constant from the previous number of 0.000 Unit for 27 Jan 2025. Brazil COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: Male data is updated daily, averaging 0.000 Unit from Feb 2020 (Median) to 28 Jan 2025, with 1824 observations. The data reached an all-time high of 340.000 Unit in 17 Aug 2020 and a record low of 0.000 Unit in 28 Jan 2025. Brazil COVID-19: No. of Tests: Serious Cases: New: RT-PCR Tests: Male data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Brazil Premium Database’s Health Sector – Table BR.HLA003: Disease Outbreaks: COVID-19: Number of Tests: Serious Cases.

COVID-19: No. of Tests: Serious Cases: New: by State: North: Roraima: Male data was reported at 0.000 Unit in 28 Jan 2025. This stayed constant from the previous number of 0.000 Unit for 27 Jan 2025. COVID-19: No. of Tests: Serious Cases: New: by State: North: Roraima: Male data is updated daily, averaging 0.000 Unit from Aug 2002 (Median) to 28 Jan 2025, with 8188 observations. The data reached an all-time high of 7.000 Unit in 23 May 2020 and a record low of 0.000 Unit in 28 Jan 2025. COVID-19: No. of Tests: Serious Cases: New: by State: North: Roraima: Male data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Brazil Premium Database’s Health Sector – Table BR.HLA003: Disease Outbreaks: COVID-19: Number of Tests: Serious Cases.

COVID-19: No. of Tests: New: by State: Northeast: Alagoas: Male data was reported at 0.000 Unit in 06 Jun 2024. This stayed constant from the previous number of 0.000 Unit for 05 Jun 2024. COVID-19: No. of Tests: New: by State: Northeast: Alagoas: Male data is updated daily, averaging 2.000 Unit from Jan 2020 (Median) to 06 Jun 2024, with 1618 observations. The data reached an all-time high of 1,298.000 Unit in 24 May 2021 and a record low of 0.000 Unit in 06 Jun 2024. COVID-19: No. of Tests: New: by State: Northeast: Alagoas: Male data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Brazil Premium Database’s Health Sector – Table BR.HLA002: Disease Outbreaks: COVID-19: Number of Tests: Mild to Moderate Cases. This tests series refers to mild to moderate cases suspected of COVID-19

COVID-19: No. of Tests: Serious Cases: New: by State: South: Paraná: Male data was reported at 0.000 Unit in 31 Jan 2025. This stayed constant from the previous number of 0.000 Unit for 30 Jan 2025. COVID-19: No. of Tests: Serious Cases: New: by State: South: Paraná: Male data is updated daily, averaging 0.000 Unit from Aug 2002 (Median) to 31 Jan 2025, with 8191 observations. The data reached an all-time high of 29.000 Unit in 17 Aug 2020 and a record low of 0.000 Unit in 31 Jan 2025. COVID-19: No. of Tests: Serious Cases: New: by State: South: Paraná: Male data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Brazil Premium Database’s Health Sector – Table BR.HLA003: Disease Outbreaks: COVID-19: Number of Tests: Serious Cases.

Brazil COVID-19: No. of Tests: New: by State: Northeast: Maranhão: Male data was reported at 1.000 Unit in 09 Dec 2021. This records an increase from the previous number of 0.000 Unit for 08 Dec 2021. Brazil COVID-19: No. of Tests: New: by State: Northeast: Maranhão: Male data is updated daily, averaging 452.000 Unit from Jan 2020 to 09 Dec 2021, with 709 observations. The data reached an all-time high of 2,315.000 Unit in 23 Jun 2020 and a record low of 0.000 Unit in 08 Dec 2021. Brazil COVID-19: No. of Tests: New: by State: Northeast: Maranhão: Male data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAG002: Disease Outbreaks: COVID-19: Number of Tests. This tests series refers to mild to moderate cases suspected of COVID-19

Loneliness is a major public health issue, with its prevalence rising during COVID-19 pandemic lockdowns and mandated “social distancing” practices. A 2020 global study (n = 46,054) found that, in comparison to women, men experienced the greatest levels of loneliness. Although research on predictors of loneliness during COVID-19 is increasing, little is known about the characteristics of men who may be particularly vulnerable. Studies using prospective data are needed to inform preventative measures to support men at risk of loneliness. The current study draws on rare longitudinal data from an Australian cohort of men in young to mid-adulthood (n = 283; aged M = 34.6, SD = 1.38 years) to examine 25 pre-pandemic psychosocial predictors of loneliness during COVID-19 social restrictions (March–September 2020). Adjusted linear regressions identified 22 pre-pandemic predictors of loneliness across a range of trait-based, relational, career/home and mental health variables. Given the extensive set of predictors, we then conducted penalized regression models (LASSO), a machine learning approach, allowing us to identify the best fitting multivariable set of predictors of loneliness during the pandemic. In these models, men's sense of pre-pandemic environmental mastery emerged as the strongest predictor of loneliness. Depression, neuroticism and social support also remained key predictors of pandemic loneliness (R2 = 26, including covariates). Our findings suggest that men's loneliness can be detected prospectively and under varying levels of social restriction, presenting possible targets for prevention efforts for those most vulnerable.

Understanding gender is essential to understanding the risk factors of poor health, early death and health inequities. The COVID-19 outbreak is no different. At this point in the pandemic, we are unable to provide a clear answer to the question of the extent to which sex and gender are influencing the health outcomes of people diagnosed with COVID-19. However, experience and evidence thus far tell us that both sex and gender are important drivers of risk and response to infection and disease.

In order to understand the role gender is playing in the COVID-19 outbreak, countries urgently need to begin both collecting and publicly reporting sex-disaggregated data. At a minimum, this should include the number of cases and deaths in men and women.

In collaboration with CNN, Global Health 50/50 began compiling publicly available sex-disaggregated data reported by national governments to date and is exploring how gender may be driving the higher proportion of reported deaths in men among confirmed cases so far.

For more, please visit: http://globalhealth5050.org/covid19

As of December, 2020, the coronavirus pandemic in the Netherlands resulted in over 527.5 thousand cases, 17.6 thousand hospital admissions, and 9.4 thousand deaths. To this day, most confirmed COVID-19 cases in the Netherlands were women. However, the distributions of hospital admissions and deaths due to the coronavirus were higher for men.

Gender aside, COVID-19 figures in the Netherlands differed in terms of age. According to Dutch numbers, the coronavirus infected mostly younger age groups. However, hospital admissions were higher in older people, while the coronavirus was especially deadly for people aged over 80.

This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Niger. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 500 individuals randomly drawn from an existing list of phone numbers collected from previous household surveys. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact of COVID-19 through time.