As of September 30, ** transgender and gender-diverse people were murdered in the United States in 2024. This is a slight decrease from the previous year, when ** transgender and gender-diverse people were murdered.

Worldwide, Brazil reported the highest number of transgender people murdered in 2023, reaching 100 victims. Most of the murders that year were reported in Latin America and the Caribbean. It is assumed that only a minority of the cases actually are reported, and the actual number is estimated to be significantly higher.

According to the source, *** trans and gender-diverse people were reported murdered in Latin America and the Caribbean between October 2022 and September 2023. As of September 2018, a total of *** murders had been reported in the region. Between 2011 and 2020, the number of murders stood above *** every year.

In April 2020 Eurostat set up an exceptional data collection on total weekly deaths, in order to support the policy and research efforts related to Covid-19. With this data collection, Eurostat's target was to provide quickly statistics that show the changing situation of the total number of weekly deaths from early 2020 onwards.

The available data on the total weekly deaths are transmitted by the National Statistical Institutes to Eurostat on voluntary basis. Data are collected cross classified by sex, 5-year age-groups and NUTS3 region (NUTS2021). The age breakdown by 5-year age group is the most significant and should be considered by the reporting countries as the main option; when that is not possible, data may be provided with less granularity. Similar with the regional structure, data granularity varies with the country.

Eurostat requested from the National Statistical Institutes the transmission of a back time series of weekly deaths for as many year as possible, recommending as starting point the year 2000. Shorter time series, imposed by data availability, are transmitted by some countries. A long enough time series is necessary for temporal comparisons and statistical modelling.

A note on Ireland: Data from Ireland were not included in the first phase of the weekly deaths data collection: official timely data were not available because deaths can be registered up to three months after the date of death. Because of the COVID-19 pandemic, the Central Statistics Office of Ireland began to explore experimental ways of obtaining up-to-date mortality data, finding a strong correlation between death notices published on RIP.ie and official mortality statistics. Recently, CSO Ireland started publishing a time series covering the period from October 2019 until the most recent weeks, using death notices (see CSO website). For the purpose of this release, Eurostat compared the new 2020-2021 web-scraped series with a 2016-2019 baseline established using official data. CSO is periodically assessing the quality of these data.

The purpose of Eurostat’s online tables in the folder Weekly deaths - special data collection (demomwk) is to make available to users information on the weekly number of deaths disaggregated by sex, 5 years age group and NUTS3 regions over the last 20 years, depending on the availability in each country covered in Eurostat demographic statistics data collections. In order to ensure the highest timeliness possible, data are made available as reported by the countries, and work is ongoing in order to improve data quality and user friendliness.

Starting in 2025, the weekly deaths data is collected on a quarterly basis. The database updates are expected by mid-June (release of monthly data for 1st quarter of the year), mid-September (2nd quarter), mid-December (3rd quarter), and mid-February (4th quarter).

Between October 2023 and September 2024, at least 71 trans or gender-diverse people were murdered in Mexico. Mexico ranked as the second country with the highest number of murders of trans people in Latin America during that same period of time.

Between October 2021 and September 2022, at least 28 trans or gender-diverse people were murdered in Colombia, the largest number since, at least, the fiscal year of 2016. During that period of time, 235 trans persons were reported murdered in Latin America, making it the world's deadliest region for this community.

BackgroundDog rabies annually causes 24,000–70,000 deaths globally. We built a spreadsheet tool, RabiesEcon, to aid public health officials to estimate the cost-effectiveness of dog rabies vaccination programs in East Africa.MethodsRabiesEcon uses a mathematical model of dog-dog and dog-human rabies transmission to estimate dog rabies cases averted, the cost per human rabies death averted and cost per year of life gained (YLG) due to dog vaccination programs (US 2015 dollars). We used an East African human population of 1 million (approximately 2/3 living in urban setting, 1/3 rural). We considered, using data from the literature, three vaccination options; no vaccination, annual vaccination of 50% of dogs and 20% of dogs vaccinated semi-annually. We assessed 2 transmission scenarios: low (1.2 dogs infected per infectious dog) and high (1.7 dogs infected). We also examined the impact of annually vaccinating 70% of all dogs (World Health Organization recommendation for dog rabies elimination).ResultsWithout dog vaccination, over 10 years there would a total of be approximately 44,000–65,000 rabid dogs and 2,100–2,900 human deaths. Annually vaccinating 50% of dogs results in 10-year reductions of 97% and 75% in rabid dogs (low and high transmissions scenarios, respectively), approximately 2,000–1,600 human deaths averted, and an undiscounted cost-effectiveness of $451-$385 per life saved. Semi-annual vaccination of 20% of dogs results in in 10-year reductions of 94% and 78% in rabid dogs, and approximately 2,000–1,900 human deaths averted, and cost $404-$305 per life saved. In the low transmission scenario, vaccinating either 50% or 70% of dogs eliminated dog rabies. Results were most sensitive to dog birth rate and the initial rate of dog-to-dog transmission (Ro).ConclusionsDog rabies vaccination programs can control, and potentially eliminate, dog rabies. The frequency and coverage of vaccination programs, along with the level of dog rabies transmission, can affect the cost-effectiveness of such programs. RabiesEcon can aid both the planning and assessment of dog rabies vaccination programs.

This data set includes tables on persons living with HIV/AIDS, newly diagnosed HIV cases and all cause deaths in HIV/AIDS cases by gender, age, race/ethnicity and transmission category.

In all tables, cases are reported as of December 31 of the given year, as reported by December 31, 2024, to allow a minimum of 12 months reporting delay.

Gender is determined by both current gender and sex at birth variables; transgender values are assigned when current gender is identified as "Transgender" or when a discrepancy is identified between a person's sex at birth and their current gender (e.g., cases where sex at birth is "Male" and current gender is "Female" will become Transgender: Male to Female.) Prior to 2003, Asian and Native Hawaiian/Pacific Islanders were classified as one combined group. In order to present these race/ethnicities separately, living cases recorded under this combined classification were split and redistributed according to their expected proportional population representation estimated from post-2003 data.

In 2022, around 80 percent of transgender people in the United States had considered suicide, while around 40 percent had attempted suicide. There has been an upward trend in both the considered and attempted suicide rate since 2000, when 61 percent of transgender people considered committing suicide and 28 percent had attempted it.

5-year percentage risk of death (95% CI) from 10 years after start of ART, according to age, IDU risk group, AIDS status, CD4 count and viral suppression (HIV RNA

Number, percentage and rate (per 100,000 population) of homicide victims, by gender (all genders; male; female; gender unknown) and Indigenous identity (total; Indigenous identity; non-Indigenous identity; unknown Indigenous identity), Canada, provinces and territories, 2014 to 2020.

Context

As we enter into the latter half of the second year of the Coronavirus pandemic, transmission has become the keyword as more variants emerge. In this dataset, I thought to shed some light on the relationship between transmission types and death rates. This dataset contains the number of cases by region in Canada in 2021 by their respective transmission methods and death rates. I also added the perceived health by region in Canada in 2020 as compared to 2019.

Content

The dataset consists of two csv files: transmission & death.csv and Perceived Health.csv.

transmission & death.csv: Case counts by region in Canada categorized by transmission methods and death status. This data is provided by the Public Health Agency of Canada. The original data set contains age and gender details, which I combined columns into one to focus on the transmission vs. death investigation. This file contains case counts from January 15, 2020 to September 5, 2021.

Perceived Health.csv is the perceived health by region in Canada based on the Canadian Community Health Survey released on September 8, 2021.

Column Description

transmission & death dataset transmission & death.csv:

Geography: For the purpose of this study, geography is the Canadian regions of Atlantic, Quebec, Ontario and Nunavut, Prairies and Northwest Territories, and British Columbia and Yukon

Transmission: For the purpose of this study, transmission types are community exposures, travel exposures and not stated

Death statuses: For this study, death statuses are deceased, not deceased and not stated

Perceived Health dataset Perceived Health.csv:

Geography: In this file, geography is broken down into Newfoundland and Labrador, Prince Edward Island, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Albert, and British Columbia

Indicators: Perceived health is broken down into very good or excellent and fair or poor

Age groups are broken down into 12 to 17 years, 18 to 34 years, 35 to 49 years, 50 to 64 years, and 65 years and over

Acknowledgements

Data provided for public use by Statistics Canada.

Inspiration

This dataset is meant to gain insight into the severity of symptoms of the coronavirus, as it relates to the type of transmission or the perceived health of the region in question.

Legend: The first column presents transmission settings. The second column presents the total estimated malaria deaths in the all-ages population of 100,000 people per person-year in the absence of vaccination. The estimate is the average over a 10 year period. The remaining columns present the percentage of deaths averted by each delivery strategy, as the median and (range) estimated from 14 models.

The actions of Public Health France

Public Health France’s mission is to improve and protect the health of populations. During the health crisis linked to the COVID-19 epidemic, Public Health France is responsible for monitoring and understanding the dynamics of the epidemic, anticipating the various scenarios and implementing actions to prevent and limit the transmission of this virus on the national territory.

Description of the dataset

This dataset describes the level of standardised excess mortality during the COVID-19 outbreak, at the departmental and regional level.

The level of excess mortality is described for two age categories: — for all ages; — for persons over 65 years of age.

Method of calculating levels

The data are derived from the administrative part of the death certificate, collected by the civil registry offices of the municipalities having a dematerialised transmission with INSEE. The observed number of deaths is compared to an expected number, estimated from a statistical model established by the EuroMomo consortium and used by 24 countries or regions in Europe.

The estimation of excess deaths is based on the calculation of a standardised indicator (Z-score), which makes it possible to compare excesses between different geographical levels or age groups.

The Z-score is calculated by the formula: (observed number — expected number)/standard deviation of expected number.

The five categories of excess are defined as follows: — No excess: standardised Death Indicator (Z-score) < 2 — Moderate excess of death: standardised Death Indicator (Z-score) between 2 and 4.99 — High excess of death: standardised Death Indicator (Z-score) between 5 and 6.99: — Very high excess of death: standardised Death Indicator (Z-score) between 7 and 11.99: Exceptional excess of standardised death indicator of death (Z-score) greater than 12

Limits of the calculation method

The estimated excesses are established on a set of 3000 municipalities for which Santé publique France has a long history of data. These 3000 municipalities account for 77 % of national mortality, varying from 63 % to 96 % depending on the regions and from 42 % to 98 % depending on the departments.

Taking into account the legal deadlines for declaring a death to civil status and the time taken by the civil registry office to enter the information, a period between the occurrence of the death and the arrival of the information at Santé publique France is observed. This period can be extended punctually (public holidays, extended weekends, bridges, school holidays, very strong epidemic period, confinement). Mortality data are considered consolidated within 30 days.

The actions of Public Health France Public Health France’s mission is to improve and protect the health of populations. During the health crisis linked to the COVID-19 epidemic, Public Health France is responsible for monitoring and understanding the dynamics of the epidemic, anticipating the various scenarios and implementing actions to prevent and limit the transmission of this virus on the national territory. ### The electronic certification of deaths The Centre for Epidemiology on Medical Causes of Death (CépiDc) is the laboratory of the Inserm (National Institute of Health and Medical Research) in charge of producing statistics on the medical causes of death. The data are derived from the medical part of the certificate of death certified electronically. Deaths can be recorded in all types of place of death (public or private health institutions, EHPAD/retirement home, home, or other unspecified places). However, a health facility does not necessarily use electronic death certification in all of these services. Deaths associated with Covid-19 are identified from the statements expressed by doctors in the medical causes of death. COVID-19 infection may be suspected or biologically confirmed. ### Description of the data This dataset provides information on: — The cumulative number of deaths associated with Covid-19 by sex and by department; — The cumulative number of deaths associated with COVID-19 by age group and region; — The cumulative number of non-affiliated establishments or physicians who have certified at least 1 Covid-19-associated deaths per region. ** Methodological warning:** The data have been accumulated since 1 March 2020. At the beginning of 2020, about 20 % of deaths in France were electronically certified, with a heterogeneity ranging from 0 % to 28 % depending on the region. A surge has been observed since the beginning of April 2020, in particular by private institutions and EHPADs, without it being possible to assess the proportion of additional deaths recorded by this increase.

In April 2020 Eurostat set up an exceptional data collection on total weekly deaths, in order to support the policy and research efforts related to Covid-19. With this data collection, Eurostat's target was to provide quickly statistics that show the changing situation of the total number of weekly deaths from early 2020 onwards.

The available data on the total weekly deaths are transmitted by the National Statistical Institutes to Eurostat on voluntary basis. Data are collected cross classified by sex, 5-year age-groups and NUTS3 region (NUTS2021). The age breakdown by 5-year age group is the most significant and should be considered by the reporting countries as the main option; when that is not possible, data may be provided with less granularity. Similar with the regional structure, data granularity varies with the country.

Eurostat requested from the National Statistical Institutes the transmission of a back time series of weekly deaths for as many year as possible, recommending as starting point the year 2000. Shorter time series, imposed by data availability, are transmitted by some countries. A long enough time series is necessary for temporal comparisons and statistical modelling.

A note on Ireland: Data from Ireland were not included in the first phase of the weekly deaths data collection: official timely data were not available because deaths can be registered up to three months after the date of death. Because of the COVID-19 pandemic, the Central Statistics Office of Ireland began to explore experimental ways of obtaining up-to-date mortality data, finding a strong correlation between death notices published on RIP.ie and official mortality statistics. Recently, CSO Ireland started publishing a time series covering the period from October 2019 until the most recent weeks, using death notices (see CSO website). For the purpose of this release, Eurostat compared the new 2020-2021 web-scraped series with a 2016-2019 baseline established using official data. CSO is periodically assessing the quality of these data.

The purpose of Eurostat’s online tables in the folder Weekly deaths - special data collection (demomwk) is to make available to users information on the weekly number of deaths disaggregated by sex, 5 years age group and NUTS3 regions over the last 20 years, depending on the availability in each country covered in Eurostat demographic statistics data collections. In order to ensure the highest timeliness possible, data are made available as reported by the countries, and work is ongoing in order to improve data quality and user friendliness.

Starting in 2025, the weekly deaths data is collected on a quarterly basis. The database updates are expected by mid-June (release of monthly data for 1st quarter of the year), mid-September (2nd quarter), mid-December (3rd quarter), and mid-February (4th quarter).

In 2017, there were around ** deaths per 1,000 HIV-infected males aged 13 years and older in the United States. However, the death rate was ** per 1,000 among transgender female-to-males. This statistic illustrates the death rate among persons infected with HIV aged 13 years and older in the United States in 2017 by gender.

In April 2020 Eurostat set up an exceptional data collection on total weekly deaths, in order to support the policy and research efforts related to Covid-19. With this data collection, Eurostat's target was to provide quickly statistics that show the changing situation of the total number of weekly deaths from early 2020 onwards.

The available data on the total weekly deaths are transmitted by the National Statistical Institutes to Eurostat on voluntary basis. Data are collected cross classified by sex, 5-year age-groups and NUTS3 region (NUTS2021). The age breakdown by 5-year age group is the most significant and should be considered by the reporting countries as the main option; when that is not possible, data may be provided with less granularity. Similar with the regional structure, data granularity varies with the country.

Eurostat requested from the National Statistical Institutes the transmission of a back time series of weekly deaths for as many year as possible, recommending as starting point the year 2000. Shorter time series, imposed by data availability, are transmitted by some countries. A long enough time series is necessary for temporal comparisons and statistical modelling.

A note on Ireland: Data from Ireland were not included in the first phase of the weekly deaths data collection: official timely data were not available because deaths can be registered up to three months after the date of death. Because of the COVID-19 pandemic, the Central Statistics Office of Ireland began to explore experimental ways of obtaining up-to-date mortality data, finding a strong correlation between death notices published on RIP.ie and official mortality statistics. Recently, CSO Ireland started publishing a time series covering the period from October 2019 until the most recent weeks, using death notices (see CSO website). For the purpose of this release, Eurostat compared the new 2020-2021 web-scraped series with a 2016-2019 baseline established using official data. CSO is periodically assessing the quality of these data.

The purpose of Eurostat’s online tables in the folder Weekly deaths - special data collection (demomwk) is to make available to users information on the weekly number of deaths disaggregated by sex, 5 years age group and NUTS3 regions over the last 20 years, depending on the availability in each country covered in Eurostat demographic statistics data collections. In order to ensure the highest timeliness possible, data are made available as reported by the countries, and work is ongoing in order to improve data quality and user friendliness.

Starting in 2025, the weekly deaths data is collected on a quarterly basis. The database updates are expected by mid-June (release of monthly data for 1st quarter of the year), mid-September (2nd quarter), mid-December (3rd quarter), and mid-February (4th quarter).

Latin America and the Caribbean was, by far, the world region reporting the highest number of murders of transgender people worldwide in 2023. It is assumed that only a minority of trans people murdered are actually recorded as such, and the actual number is estimated to be significantly higher.

Divergence-time estimation based on molecular phylogenies and the fossil record has provided insights into fundamental questions of evolutionary biology. In Bayesian node dating, phylogenies are commonly time calibrated through the specification of calibration densities on nodes representing clades with known fossil occurrences. Unfortunately, the optimal shape of these calibration densities is usually unknown and they are therefore often chosen arbitrarily, which directly impacts the reliability of the resulting age estimates. As possible solutions to this problem, two non-exclusive alternative approaches have recently been developed, the “fossilized birth-death” model and “total-evidence dating”. While these approaches have been shown to perform well under certain conditions, they require including all (or a random subset) of the fossils of each clade in the analysis, rather than just relying on the oldest fossils of clades. In addition, both approaches assume that fossil records of different clades in the phylogeny are all the product of the same underlying fossil sampling rate, even though this rate has been shown to differ strongly between higher-level taxa. We here develop a flexible new approach to Bayesian age estimation that combines advantages of node dating and the fossilized birth-death model. In our new approach, calibration densities are defined on the basis of first fossil occurrences and sampling rate estimates that can be specified separately for all clades. We verify our approach with a large number of simulated datasets, and compare its performance to that of the fossilized birth-death model. We find that our approach produces reliable age estimates that are robust to model violation, on par with the fossilized birth-death model. By applying our approach to a large dataset including sequence data from over 1000 species of teleost fishes as well as 147 carefully selected fossil constraints, we recover a timeline of teleost diversification that is incompatible with previously assumed vicariant divergences of freshwater fishes. Our results instead provide strong evidence for trans-oceanic dispersal of cichlids and other groups of teleost fishes.