35 datasets found
  1. Global Share of Female Physicians Aged 45-54 by Country, 2023

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global Share of Female Physicians Aged 45-54 by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/66af9cc7903f420388db50808f6919ce8c4e85cc
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Global Share of Female Physicians Aged 45-54 by Country, 2023 Discover more data with ReportLinker!

  2. g

    Liberal Health Professionals: average ages, male/female share

    • gimi9.com
    Updated Dec 22, 2024
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    (2024). Liberal Health Professionals: average ages, male/female share [Dataset]. https://gimi9.com/dataset/eu_eec90790de7fdaa91f61cfe76e2f189a53bc783d
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    Dataset updated
    Dec 22, 2024
    Description

    This dataset is one of the sources of data visualisations available on the [Liberal Health Professionals] website(https://data.ameli.fr/pages/data-professionnels-sante-liberaux/). ### General information: The liberal health professions available in this dataset are: * the doctors (with more than twenty medical specialties); * dental surgeons** (including dentofacial orthopaedic specialists – ODF); * the women; * medical assistants with five professions: nurses, massage therapists, speech therapists, orthoptists, pedicures-podologists. They are health professionals active on 31 December of the year concerned and: * exercising their activity as a liberal; * in metropolitan France, Guadeloupe, French Guiana, Reunion, Martinique and Mayotte; * having received at least EUR 1 in fees; * whether they are contracted with the Sickness Insurance or not (when they generate a prescription reimbursed by the Sickness Insurance); * professionals in employment-retirement cumulation are counted in the workforce as long as they meet the previous conditions. This dataset presents demographic information about liberal healthcare professionals such as: *average ages: * women; * men; * global; * share of women; * share of men; * share 60 years of age and older; * share of under 60s. This dataset is complementary to the following dataset: Liberal health professionals: number and density by age group, sex and territory (department, region). Only the national level is available for this data. The data are derived from the National Health Data System (NSDS). For more information (source, field, definitions of modalities), visit the Method page of this site. ### Data update: The data proposed for download in the “Export” tab is updated every year (data from the whole of France since 2010).

  3. Forecast: Share of Female Physicians Aged 45-54 in Italy 2023 - 2027

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Forecast: Share of Female Physicians Aged 45-54 in Italy 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/0ffb2358f9b17fd213ddcd6dd2d30f562987b18b
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Italy
    Description

    Forecast: Share of Female Physicians Aged 45-54 in Italy 2023 - 2027 Discover more data with ReportLinker!

  4. Forecast: Share of Female Practising Physicians in the US 2024 - 2028

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Forecast: Share of Female Practising Physicians in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/4fafde33154260f669e99880a3939f0c886477b7
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Forecast: Share of Female Practising Physicians in the US 2024 - 2028 Discover more data with ReportLinker!

  5. Forecast: Share of Female Physicians Aged 45-54 in France 2024 - 2028

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Share of Female Physicians Aged 45-54 in France 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/9fb66fb4c760c33deca958681e134a67a424bfe4
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    France
    Description

    Forecast: Share of Female Physicians Aged 45-54 in France 2024 - 2028 Discover more data with ReportLinker!

  6. FOI-01031

    • opendata.nhsbsa.net
    Updated Apr 14, 2023
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    nhsbsa.net (2023). FOI-01031 [Dataset]. https://opendata.nhsbsa.net/dataset/foi-01031
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    Dataset updated
    Apr 14, 2023
    Dataset provided by
    NHS Business Services Authority
    Description

    Please provide the following data regarding the prescribing of CNS stimulants and ADHD medicines (BNF 68 section 4.4) in England: • Number of patients prescribed CNS stimulants and ADHD medicines between January 2015 and January 2023 broken down by: - Month; - Age group (0-17 years, 18+ years); - Gender (Male and Female). - Chemical substance Response A copy of the information is attached. NHS Prescription Services process prescriptions for Pharmacy Contractors, Appliance Contractors, Dispensing Doctors and Personal Administration with information then used to make payments to pharmacists and appliance contractors in England for prescriptions dispensed in primary care settings (other arrangements are in place for making payments to Dispensing Doctors and Personal Administration). This involves processing over 1 billion prescription items and payments totalling over £9 billion each year. The information gathered from this process is then used to provide information on costs and trends in prescribing in England and Wales to over 25,000 registered NHS and Department of Health and Social Care users. Data Source The data source was the NHSBSA Information Services Data Warehouse. Exclusions The Data excludes: • Items not dispensed, disallowed and those returned to the contractor for further clarification. • Prescriptions prescribed and dispensed in Prisons, Hospitals and Private prescriptions. • Items prescribed but not presented for dispensing or not submitted to NHS Prescription Services by the dispenser. Time Period April 2015 to January 2023 inclusive. Patient Data is available from April 2015 onwards. Organisation Data Only items that were prescribed in England and dispensed in the community have been included. Year Month The year and month for which the claim for dispensed items has been submitted to NHSBSA. BNF Chemical Substance The nine characters at the beginning of a BNF code which specify the Chemical substance of a drug. Gender_PDS Whether an identified patient is (male or female) has been determined using the latest patient gender information held by the NHSBSA Information Services data warehouse at the time that the prescription data was loaded. Patient gender information is updated periodically - sometime after the data has been loaded - using information from NHS Personal Demographics Service (PDS). At the time that prescription data is loaded the PDS data held by NHSBSA may be incomplete or may not reflect the latest data held by PDS. Patient gender cannot be reported for prescriptions for which the NHS number could not be captured or where no corresponding PDS data is held by NHSBSA. Prescriptions used in this dataset have been limited to where the data held in the NHSBSA data Warehouse has been recorded as male or female. The following percentage of prescription items within the dataset had a recorded gender of male or female, by calendar year: 2015 (April to December) 79.36% 2016 81.66% 2017 81.69% 2018 81.72% 2019 83.97% 2020 87.83% 2021 87.65% 2022 87.56% 2023 (January) 87.56% Age Patient age is as captured on prescriptions during processing. Patients may appear in more than one age group if they have prescribing in more than one age group therefore patient counts should not be added together, and they should only be used as presented in this request. Data has been limited to prescriptions where an age has been captured, the following percentage of prescription items within the dataset had a recorded age, by calendar year;

  7. f

    Summary of descriptive statistics.

    • plos.figshare.com
    xls
    Updated Nov 27, 2024
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    Amrit Kirpalani; Eray Yilmaz (2024). Summary of descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pgph.0003656.t001
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    xlsAvailable download formats
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    PLOS Global Public Health
    Authors
    Amrit Kirpalani; Eray Yilmaz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundUnderstanding how governance factors such as democracy and corruption impact the healthcare workforce is crucial for achieving Universal Health Coverage (UHC). Effective health workforce planning and resource allocation are influenced by these political constructs. This study examines the relationship between democracy and corruption and key healthcare workforce metrics.MethodsA cross-sectional study was conducted using a global dataset from 2020 to 2022. The primary outcome was Physician Density (medical doctors per 10000 people). Secondary outcomes included the generalist to specialist ratio and the percentage of female physicians (% Female). Partial correlations, multivariate analysis of variance (MANOVA), and univariate analysis of variance (ANOVA) were used to analyze the relationship between workforce variables and the democracy index (DI), and corruption perception index (CPI), controlling for domestic health expenditure.ResultsData from 134 countries showed significant positive associations between both DI (r = 0.32, p = 0.004) and CPI (r = 0.43, p < 0.001) with physician density. MANOVA indicated significant multivariate effects of DI (Wilks’ Lambda = 0.8642, p = 0.013) and CPI (Wilks’ Lambda = 0.8036, p = 0.001) on the combined workforce variables. Univariate ANOVAs showed that DI (F = 6.13, p = 0.015) and CPI (F = 10.57, p = 0.002) significantly affected physician density, even after adjusting for domestic expenditure (F = 18.53, p < 0.001). However, neither DI nor CPI significantly impacted the Generalist to Specialist Ratio or % Female Physicians.DiscussionHigher levels of democracy and lower levels of corruption are associated with a greater density of medical doctors, independent of healthcare spending. Policymakers must advocate for governance reforms that support a robust healthcare workforce to support aim of universal health coverage.

  8. Global Share of Female Practising Physicians by Country, 2023

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global Share of Female Practising Physicians by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/a4a1d02e46052934d918d5a12c47ee4a790cc117
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Global Share of Female Practising Physicians by Country, 2023 Discover more data with ReportLinker!

  9. d

    Philippines - National Demographic Survey 1993 - Dataset - waterdata

    • waterdata3.staging.derilinx.com
    Updated Jan 12, 2005
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    (2005). Philippines - National Demographic Survey 1993 - Dataset - waterdata [Dataset]. https://waterdata3.staging.derilinx.com/dataset/philippines-national-demographic-survey-1993
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    Dataset updated
    Jan 12, 2005
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Philippines
    Description

    The 1993 National Demographic Survey (NDS) is a nationally representative sample survey of women age 15-49 designed to collect information on fertility; family planning; infant, child and maternal mortality; and maternal and child health. The survey was conducted between April and June 1993. The 1993 NDS was carried out by the National Statistics Office in collaboration with the Department of Health, the University of the Philippines Population Institute, and other agencies concerned with population, health and family planning issues. Funding for the 1993 NDS was provided by the U.S. Agency for International Development through the Demographic and Health Surveys Program. Close to 13,000 households throughout the country were visited during the survey and more than 15,000 women age 15-49 were interviewed. The results show that fertility in the Philippines continues its gradual decline. At current levels, Filipino women will give birth on average to 4.1 children during their reproductive years, 0.2 children less than that recorded in 1988. However, the total fertility rate in the Philippines remains high in comparison to the level achieved in the neighboring Southeast Asian countries. The primary objective of the 1993 NDS is to provide up-to-date inform ation on fertility and mortality levels; nuptiality; fertility preferences; awareness, approval, and use of family planning methods; breastfeeding practices; and maternal and child health. This information is intended to assist policymakers and administrators in evaluating and designing programs and strategies for improving health and family planning services in 'the country. MAIN RESULTS Fertility varies significantly by region and socioeconomic characteristics. Urban women have on average 1.3 children less than rural women, and uneducated women have one child more than women with college education. Women in Bicol have on average 3 more children than women living in Metropolitan Manila. Virtually all women know of a family planning method; the pill, female sterilization, IUD and condom are known to over 90 percent of women. Four in 10 married women are currently using contraception. The most popular method is female sterilization ( 12 percent), followed by the piU (9 percent), and natural family planning and withdrawal, both used by 7 percent of married women. Contraceptive use is highest in Northern Mindanao, Central Visayas and Southern Mindanao, in urban areas, and among women with higher than secondary education. The contraceptive prevalence rate in the Philippines is markedly lower than in the neighboring Southeast Asian countries; the percentage of married women who were using family planning in Thailand was 66 percent in 1987, and 50 percent in Indonesia in 199l. The majority of contraceptive users obtain their methods from a public service provider (70 percent). Government health facilities mainly provide permanent methods, while barangay health stations or health centers are the main sources for the pill, IUD and condom. Although Filipino women already marry at a relatively higher age, they continue to delay the age at which they first married. Half of Filipino women marry at age 21.6. Most women have their first sexual intercourse after marriage. Half of married women say that they want no more children, and 12 percent have been sterilized. An additional 19 percent want to wait at least two years before having another child. Almost two thirds of women in the Philippines express a preference for having 3 or less children. Results from the survey indicate that if all unwanted births were avoided, the total fertility rate would be 2.9 children, which is almost 30 percent less than the observed rate, More than one quarter of married women in the Philippines are not using any contraceptive method, but want to delay their next birth for two years or more (12 percent), or want to stop childbearing (14 percent). If the potential demand for family planning is satisfied, the contraceptive prevalence rate could increase to 69 percent. The demand for stopping childbearing is about twice the level for spacing (45 and 23 percent, respectively). Information on various aspects of maternal and child health-antenatal care, vaccination, breastfeeding and food supplementation, and illness was collected in the 1993 NDS on births in the five years preceding the survey. The findings show that 8 in 10 children under five were bom to mothers who received antenatal care from either midwives or nurses (45 percent) or doctors (38 percent). Delivery by a medical personnel is received by more than half of children born in the five years preceding the survey. However, the majority of deliveries occurred at home. Tetanus, a leading cause of infant deaths, can be prevented by immunization of the mother during pregnancy. In the Philippines, two thirds of bitlhs in the five years preceding the survey were to mothers who received a tetanus toxoid injection during pregnancy. Based on reports of mothers and information obtained from health cards, 90 percent of children aged 12-23 months have received shots of the BCG as well as the first doses of DPT and polio, and 81 percent have received immunization from measles. Immunization coverage declines with doses; the drop out rate is 3 to 5 percent for children receiving the full dose series of DPT and polio. Overall, 7 in 10 children age 12-23 months have received immunization against the six principal childhood diseases-polio, diphtheria, ~rtussis, tetanus, measles and tuberculosis. During the two weeks preceding the survey, 1 in 10 children under 5 had diarrhea. Four in ten of these children were not treated. Among those who were treated, 27 percent were given oral rehydration salts, 36 percent were given recommended home solution or increased fluids. Breasffeeding is less common in the Philippines than in many other developing countries. Overall, a total of 13 percent of children born in the 5 years preceding the survey were not breastfed at all. On the other hand, bottle feeding, a widely discouraged practice, is relatively common in the Philippines. Children are weaned at an early age; one in four children age 2-3 months were exclusively breastfed, and the mean duration of breastfeeding is less than 3 months. Infant and child mortality in the Philippines have declined significantly in the past two decades. For every 1,000 live births, 34 infants died before their first birthday. Childhood mortality varies significantly by mother's residence and education. The mortality of urban infants is about 40 percent lower than that of rural infants. The probability of dying among infants whose mother had no formal schooling is twice as high as infants whose mother have secondary or higher education. Children of mothers who are too young or too old when they give birth, have too many prior births, or give birth at short intervals have an elevated mortality risk. Mortality risk is highest for children born to mothers under age 19. The 1993 NDS also collected information necessary for the calculation of adult and maternal mortality using the sisterhood method. For both males and females, at all ages, male mortality is higher than that of females. Matemal mortality ratio for the 1980-1986 is estimated at 213 per 100,000 births, and for the 1987-1993 period 209 per 100,000 births. However, due to the small number of sibling deaths reported in the survey, age-specific rates should be used with caution. Information on health and family planning services available to the residents of the 1993 NDS barangay was collected from a group of respondents in each location. Distance and time to reach a family planning service provider has insignificant association with whether a woman uses contraception or the choice of contraception being used. On the other hand, being close to a hospital increases the likelihood that antenatal care and births are to respondents who receive ANC and are delivered by a medical personnel or delivered in a health facility.

  10. Forecast: Share of Female Practising Physicians Aged 35-44 in the US 2023 -...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Share of Female Practising Physicians Aged 35-44 in the US 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/5ef432088f3af798e06f214d57cc5600f0d2091b
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Forecast: Share of Female Practising Physicians Aged 35-44 in the US 2023 - 2027 Discover more data with ReportLinker!

  11. Forecast: Share of Female Physicians Aged 45-54 in Germany 2024 - 2028

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Share of Female Physicians Aged 45-54 in Germany 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/f7301bffc35929fdc051ccc013d1e1456470a59a
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    Forecast: Share of Female Physicians Aged 45-54 in Germany 2024 - 2028 Discover more data with ReportLinker!

  12. P

    Br35H :: Brain Tumor Detection 2020 Dataset

    • paperswithcode.com
    Updated Apr 13, 2020
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    (2020). Br35H :: Brain Tumor Detection 2020 Dataset [Dataset]. https://paperswithcode.com/dataset/br35h-brain-tumor-detection-2020
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    Dataset updated
    Apr 13, 2020
    Description

    ✔️Abstract A Brain tumor is considered as one of the aggressive diseases, among children and adults. Brain tumors account for 85 to 90 percent of all primary Central Nervous System (CNS) tumors. Every year, around 11,700 people are diagnosed with a brain tumor. The 5-year survival rate for people with a cancerous brain or CNS tumor is approximately 34 percent for men and36 percent for women. Brain Tumors are classified as: Benign Tumor, Malignant Tumor, Pituitary Tumor, etc. Proper treatment, planning, and accurate diagnostics should be implemented to improve the life expectancy of the patients. The best technique to detect brain tumors is Magnetic Resonance Imaging (MRI). A huge amount of image data is generated through the scans. These images are examined by the radiologist. A manual examination can be error-prone due to the level of complexities involved in brain tumors and their properties. Application of automated classification techniques using Machine Learning (ML) and Artificial Intelligence (AI) has consistently shown higher accuracy than manual classification. Hence, proposing a system performing detection and classification by using Deep Learning Algorithms using Convolution-Neural Network (CNN), Artificial Neural Network (ANN), and Transfer-Learning (TL) would be helpful to doctors all around the world.

    ✔️ Context Brain Tumors are complex. There are a lot of abnormalities in the sizes and location of the brain tumor(s). This makes it really difficult for complete understanding of the nature of the tumor. Also, a professional Neurosurgeon is required for MRI analysis. Often times in developing countries the lack of skillful doctors and lack of knowledge about tumors makes it really challenging and time-consuming to generate reports from MRI’. So an automated system on Cloud can solve this problem.

    ✔️ Definition To Detect and Classify Brain Tumor using, CNN and TL; as an asset of Deep Learning and to examine the tumor position(segmentation).

    ✔️ About the data: The dataset contains 3 folders: yes, no and pred which contains 3060 Brain MRI Images.

    Folder Description Yes The folder yes contains 1500 Brain MRI Images that are tumorous No The folder no contains 1500 Brain MRI Images that are non-tumorous By: Ahmed Hamada

  13. Global Share of Female Practising Physicians Aged 55-64 by Country, 2023

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global Share of Female Practising Physicians Aged 55-64 by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/113a226ae7e35403c181412c9ab037787d77cf7a
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Global Share of Female Practising Physicians Aged 55-64 by Country, 2023 Discover more data with ReportLinker!

  14. Forecast: Share of Female Practising Physicians Aged 35 or Less in the US...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Share of Female Practising Physicians Aged 35 or Less in the US 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/277591590972aae33dc2cc5d8b82ef4a8424a6a9
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Forecast: Share of Female Practising Physicians Aged 35 or Less in the US 2022 - 2026 Discover more data with ReportLinker!

  15. Global Number of Female Practising Physicians Aged 35-44 Share by Country...

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Global Number of Female Practising Physicians Aged 35-44 Share by Country (Units (Persons)), 2023 [Dataset]. https://www.reportlinker.com/dataset/88edb10d6c404250b44b483bf8c72c273c831005
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Global Number of Female Practising Physicians Aged 35-44 Share by Country (Units (Persons)), 2023 Discover more data with ReportLinker!

  16. Forecast: Share of Female Physicians Aged 45-54 in Japan 2024 - 2028

    • reportlinker.com
    Updated Apr 9, 2024
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    ReportLinker (2024). Forecast: Share of Female Physicians Aged 45-54 in Japan 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/1139b6dc91610bf65808c1c946d55bd8865b4f82
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    Dataset updated
    Apr 9, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    Forecast: Share of Female Physicians Aged 45-54 in Japan 2024 - 2028 Discover more data with ReportLinker!

  17. f

    Characteristics of mineral intake in the studied groups.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 4, 2025
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    Svetlana Plyassovskaya; Xeniya Mkhitaryan; Yelena Pozdnyakova (2025). Characteristics of mineral intake in the studied groups. [Dataset]. http://doi.org/10.1371/journal.pone.0325422.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Svetlana Plyassovskaya; Xeniya Mkhitaryan; Yelena Pozdnyakova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Characteristics of mineral intake in the studied groups.

  18. Forecast: Share of Female Practising Physicians Aged 55-64 in France 2023 -...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Share of Female Practising Physicians Aged 55-64 in France 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/e52e6ef32f31eda9b14521cfa202f378dbbca10f
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    France
    Description

    Forecast: Share of Female Practising Physicians Aged 55-64 in France 2023 - 2027 Discover more data with ReportLinker!

  19. Forecast: Share of Female Physicians Aged 45-54 in the UK 2024 - 2028

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Share of Female Physicians Aged 45-54 in the UK 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/0a58dd02cb5b55fb5e42f4c943153865c60725d2
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    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Forecast: Share of Female Physicians Aged 45-54 in the UK 2024 - 2028 Discover more data with ReportLinker!

  20. Forecast: Share of Female Practising Physicians Aged 55-64 in Germany 2023 -...

    • reportlinker.com
    Updated Apr 8, 2024
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    ReportLinker (2024). Forecast: Share of Female Practising Physicians Aged 55-64 in Germany 2023 - 2027 [Dataset]. https://www.reportlinker.com/dataset/6f78a20c6c580cd83c4de2398cc793ea017fc499
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    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    ReportLinker
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Germany
    Description

    Forecast: Share of Female Practising Physicians Aged 55-64 in Germany 2023 - 2027 Discover more data with ReportLinker!

Share
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Link copied
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ReportLinker (2024). Global Share of Female Physicians Aged 45-54 by Country, 2023 [Dataset]. https://www.reportlinker.com/dataset/66af9cc7903f420388db50808f6919ce8c4e85cc
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Global Share of Female Physicians Aged 45-54 by Country, 2023

Explore at:
Dataset updated
Apr 9, 2024
Dataset authored and provided by
ReportLinker
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Description

Global Share of Female Physicians Aged 45-54 by Country, 2023 Discover more data with ReportLinker!

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