18 datasets found
  1. Confirmed COVID-19 cases in Tanzania 2022

    • statista.com
    Updated Jun 15, 2022
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    Statista (2022). Confirmed COVID-19 cases in Tanzania 2022 [Dataset]. https://www.statista.com/statistics/1258560/confirmed-covid-19-cases-in-tanzania/
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    Dataset updated
    Jun 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 1, 2022
    Area covered
    Tanzania
    Description

    As of June 1, 2022, Tanzania reported a total of 33,928 confirmed coronavirus (COVID-19) cases. The country started releasing data on the disease in July 2021, after denying the spread of the pandemic in its territory for over one year. In the same month, Tanzania kicked off its vaccination campaign against COVID-19.

  2. T

    Tanzania Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 5, 2020
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    TRADING ECONOMICS (2020). Tanzania Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/tanzania/coronavirus-cases
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 5, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    Tanzania
    Description

    Tanzania recorded 43078 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, Tanzania reported 841 Coronavirus Deaths. This dataset includes a chart with historical data for Tanzania Coronavirus Cases.

  3. Latest Coronavirus COVID-19 figures for Tanzania

    • covid19-today.pages.dev
    json
    Updated Jul 30, 2025
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    Worldometers (2025). Latest Coronavirus COVID-19 figures for Tanzania [Dataset]. https://covid19-today.pages.dev/countries/tanzania/
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    jsonAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Worldometershttps://dadax.com/
    CSSE at JHU
    License

    https://github.com/disease-sh/API/blob/master/LICENSEhttps://github.com/disease-sh/API/blob/master/LICENSE

    Area covered
    Tanzania
    Description

    In past 24 hours, Tanzania, Africa had N/A new cases, N/A deaths and N/A recoveries.

  4. T

    Tanzania Total Covid cases, end of month, March, 2023 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Mar 15, 2023
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    Globalen LLC (2023). Tanzania Total Covid cases, end of month, March, 2023 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Tanzania/covid_total_cases/
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    csv, xml, excelAvailable download formats
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Mar 31, 2020 - Mar 31, 2023
    Area covered
    Tanzania
    Description

    Total Covid cases, end of month in Tanzania, March, 2023 The most recent value is 42959 total Covid cases as of March 2023, an increase compared to the previous value of 42846 total Covid cases. Historically, the average for Tanzania from March 2020 to March 2023 is 19355 total Covid cases. The minimum of 19 total Covid cases was recorded in March 2020, while the maximum of 42959 total Covid cases was reached in March 2023. | TheGlobalEconomy.com

  5. Cumulative number of COVID-19 vaccination doses in Tanzania 2022

    • statista.com
    Updated Jul 7, 2022
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    Statista (2022). Cumulative number of COVID-19 vaccination doses in Tanzania 2022 [Dataset]. https://www.statista.com/statistics/1258567/total-number-of-covid-19-vaccination-doses-in-tanzania/
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    Dataset updated
    Jul 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 8, 2021 - Jun 19, 2022
    Area covered
    Tanzania
    Description

    Tanzania had administered over 8.8 million doses of coronavirus (COVID-19) vaccine as of June 19, 2022. The country officially launched the vaccination campaign in July 2021, after receiving the first batch of over one million doses through the COVAX initiative. So far, more than 35,700 cases of COVID-19 were confirmed by the government in Tanzania, which had denied the spread of the pandemic in its territory for over one year.

  6. Coronavirus deaths in East Africa 2022, by country

    • statista.com
    Updated Apr 25, 2014
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    Statista (2014). Coronavirus deaths in East Africa 2022, by country [Dataset]. https://www.statista.com/statistics/1175313/coronavirus-deaths-by-country-in-east-africa/
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    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 1, 2022
    Area covered
    Africa
    Description

    As of June 1, 2022, East Africa registered over 26,000 deaths due to the coronavirus (COVID-19). The number of cases in the region surpassed 1.34 million. Ethiopia was the most affected country in East Africa, accounting for some 7,500 casualties. Kenya followed, with over 5,600 deaths caused by the disease.

  7. z

    Counts of COVID-19 reported in TANZANIA, UNITED REPUBLIC OF: 2020-2021

    • zenodo.org
    • catalog.midasnetwork.us
    • +2more
    json, xml, zip
    Updated Jun 3, 2024
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    MIDAS Coordination Center; MIDAS Coordination Center (2024). Counts of COVID-19 reported in TANZANIA, UNITED REPUBLIC OF: 2020-2021 [Dataset]. http://doi.org/10.25337/t7/ptycho.v2.0/tz.840539006
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    json, zip, xmlAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset provided by
    Project Tycho
    Authors
    MIDAS Coordination Center; MIDAS Coordination Center
    License

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

    Time period covered
    Jan 3, 2020 - Jul 31, 2021
    Area covered
    Tanzania
    Description

    Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team, except for aggregation of individual case count data into daily counts when that was the best data available for a disease and location. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format. All geographic locations at the country and admin1 level have been represented at the same geographic level as in the data source, provided an ISO code or codes could be identified, unless the data source specifies that the location is listed at an inaccurate geographical level. For more information about decisions made by the curation team, recommended data processing steps, and the data sources used, please see the README that is included in the dataset download ZIP file.

  8. f

    Data checklist.

    • plos.figshare.com
    xlsx
    Updated Jul 24, 2025
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    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha (2025). Data checklist. [Dataset]. http://doi.org/10.1371/journal.pgph.0004408.s001
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    xlsxAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha
    License

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

    Description

    COVID-19 has caused about 580 million cases and 6.4 million deaths worldwide by August 8th, 2022, including 8.7 million cases (173,063 deaths) in Africa. East Africa reported 1.39 million cases on July, 2022. Tanzania confirmed 37,865 cases and 841 deaths by 8th August 2022. Although billions of vaccine doses administered globally, just 17.6% of Tanzanians are fully vaccinated. Symptomatic pregnant women face a mortality risk that is 70% higher than in non-pregnant women.. Therefore, this study aimed at assessing knowledge, attitude, and acceptance of COVID-19 vaccine among pregnant women in the Mbeya region. A descriptive cross-sectional study was conducted in the Obstetrics and Gynecology department of MZRH. Three scores were calculated for participants’ knowledge, attitude, and acceptance to COVID-19 vaccination. These scores were compared to many sample factors using binary logistic regression and the chi-square test. The study recruited 233 participants. Most participants (31.3%) relied on social media for Covid-19 vaccine information. Poor Covid-19 vaccine knowledge (71.2%), negative attitudes (76.8%), and low acceptance rate (38.6%) were observed. Multivariate analysis showed that greater acceptance was positively associated with having a chronic illness (AOR = 3.21, CI 1.448-7.123, P = 0.004), stronger vaccine attitudes (AOR = 1.26, CI 1.149-1.368, P = 0.015), better vaccine knowledge (AOR = 2.70, CI 2.587-2.810, P = 0.005), and prior vaccination history (AOR = 0.13, CI 0.068-0.183, P = 0.000). Conversely, preference for natural immunity (AOR = 0.42, CI 0.341-0.498, P = 0.018), and not yet being vaccinated (AOR = 0.67, CI 0.594-0.755, P = 0.000) were all linked to lower acceptance. Pregnant women exhibited low knowledge, attitude, and acceptance to COVID-19 vaccines. Misinformation about the COVID-19 vaccine causes pause. Education on COVID-19 vaccination is needed to enhance vaccine uptake among pregnant women. This group must comprehend COVID-19 immunization importance, safety, and efficacy.

  9. f

    Relationship between acceptance and COVID-19 vaccine knowledge level.

    • plos.figshare.com
    xls
    Updated Jul 24, 2025
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    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha (2025). Relationship between acceptance and COVID-19 vaccine knowledge level. [Dataset]. http://doi.org/10.1371/journal.pgph.0004408.t008
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha
    License

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

    Description

    Relationship between acceptance and COVID-19 vaccine knowledge level.

  10. COVID-19: The First Global Pandemic of the Information Age

    • cameroon.africageoportal.com
    Updated Apr 8, 2020
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    Urban Observatory by Esri (2020). COVID-19: The First Global Pandemic of the Information Age [Dataset]. https://cameroon.africageoportal.com/datasets/UrbanObservatory::covid-19-the-first-global-pandemic-of-the-information-age
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    Dataset updated
    Apr 8, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Description

    On March 10, 2023, the Johns Hopkins Coronavirus Resource Center ceased its collecting and reporting of global COVID-19 data. For updated cases, deaths, and vaccine data please visit the following sources: World Health Organization (WHO)For more information, visit the Johns Hopkins Coronavirus Resource Center.-- Esri COVID-19 Trend Report for 3-9-2023 --0 Countries have Emergent trend with more than 10 days of cases: (name : # of active cases) 41 Countries have Spreading trend with over 21 days in new cases curve tail: (name : # of active cases)Monaco : 13, Andorra : 25, Marshall Islands : 52, Kyrgyzstan : 79, Cuba : 82, Saint Lucia : 127, Cote d'Ivoire : 148, Albania : 155, Bosnia and Herzegovina : 172, Iceland : 196, Mali : 198, Suriname : 246, Botswana : 247, Barbados : 274, Dominican Republic : 304, Malta : 306, Venezuela : 334, Micronesia : 346, Uzbekistan : 356, Afghanistan : 371, Jamaica : 390, Latvia : 402, Mozambique : 406, Kosovo : 412, Azerbaijan : 427, Tunisia : 528, Armenia : 594, Kuwait : 716, Thailand : 746, Norway : 768, Croatia : 847, Honduras : 1002, Zimbabwe : 1067, Saudi Arabia : 1098, Bulgaria : 1148, Zambia : 1166, Panama : 1300, Uruguay : 1483, Kazakhstan : 1671, Paraguay : 2080, Ecuador : 53320 Countries may have Spreading trend with under 21 days in new cases curve tail: (name : # of active cases)61 Countries have Epidemic trend with over 21 days in new cases curve tail: (name : # of active cases)Liechtenstein : 48, San Marino : 111, Mauritius : 742, Estonia : 761, Trinidad and Tobago : 1296, Montenegro : 1486, Luxembourg : 1540, Qatar : 1541, Philippines : 1915, Ireland : 1946, Brunei : 2010, United Arab Emirates : 2013, Denmark : 2111, Sweden : 2149, Finland : 2154, Hungary : 2169, Lebanon : 2208, Bolivia : 2838, Colombia : 3250, Switzerland : 3321, Peru : 3328, Slovakia : 3556, Malaysia : 3608, Indonesia : 3793, Portugal : 4049, Cyprus : 4279, Argentina : 5050, Iran : 5135, Lithuania : 5323, Guatemala : 5516, Slovenia : 5689, South Africa : 6604, Georgia : 7938, Moldova : 8082, Israel : 8746, Bahrain : 8932, Netherlands : 9710, Romania : 12375, Costa Rica : 12625, Singapore : 13816, Serbia : 14093, Czechia : 14897, Spain : 17399, Ukraine : 19568, Canada : 24913, New Zealand : 25136, Belgium : 30599, Poland : 38894, Chile : 41055, Australia : 50192, Mexico : 65453, United Kingdom : 65697, France : 68318, Italy : 70391, Austria : 90483, Brazil : 134279, Korea - South : 209145, Russia : 214935, Germany : 257248, Japan : 361884, US : 6440500 Countries may have Epidemic trend with under 21 days in new cases curve tail: (name : # of active cases) 54 Countries have Controlled trend: (name : # of active cases)Palau : 3, Saint Kitts and Nevis : 4, Guinea-Bissau : 7, Cabo Verde : 8, Mongolia : 8, Benin : 9, Maldives : 10, Comoros : 10, Gambia : 12, Bhutan : 14, Cambodia : 14, Syria : 14, Seychelles : 15, Senegal : 16, Libya : 16, Laos : 17, Sri Lanka : 19, Congo (Brazzaville) : 19, Tonga : 21, Liberia : 24, Chad : 25, Fiji : 26, Nepal : 27, Togo : 30, Nicaragua : 32, Madagascar : 37, Sudan : 38, Papua New Guinea : 38, Belize : 59, Egypt : 60, Algeria : 64, Burma : 65, Ghana : 72, Haiti : 74, Eswatini : 75, Guyana : 79, Rwanda : 83, Uganda : 88, Kenya : 92, Burundi : 94, Angola : 98, Congo (Kinshasa) : 125, Morocco : 125, Bangladesh : 127, Tanzania : 128, Nigeria : 135, Malawi : 148, Ethiopia : 248, Vietnam : 269, Namibia : 422, Cameroon : 462, Pakistan : 660, India : 4290 41 Countries have End Stage trend: (name : # of active cases)Sao Tome and Principe : 1, Saint Vincent and the Grenadines : 2, Somalia : 2, Timor-Leste : 2, Kiribati : 8, Mauritania : 12, Oman : 14, Equatorial Guinea : 20, Guinea : 28, Burkina Faso : 32, North Macedonia : 351, Nauru : 479, Samoa : 554, China : 2897, Taiwan* : 249634 -- SPIKING OF NEW CASE COUNTS --20 countries are currently experiencing spikes in new confirmed cases:Armenia, Barbados, Belgium, Brunei, Chile, Costa Rica, Georgia, India, Indonesia, Ireland, Israel, Kuwait, Luxembourg, Malaysia, Mauritius, Portugal, Sweden, Ukraine, United Kingdom, Uzbekistan 20 countries experienced a spike in new confirmed cases 3 to 5 days ago: Argentina, Bulgaria, Croatia, Czechia, Denmark, Estonia, France, Korea - South, Lithuania, Mozambique, New Zealand, Panama, Poland, Qatar, Romania, Slovakia, Slovenia, Switzerland, Trinidad and Tobago, United Arab Emirates 47 countries experienced a spike in new confirmed cases 5 to 14 days ago: Australia, Austria, Bahrain, Bolivia, Brazil, Canada, Colombia, Congo (Kinshasa), Cyprus, Dominican Republic, Ecuador, Finland, Germany, Guatemala, Honduras, Hungary, Iran, Italy, Jamaica, Japan, Kazakhstan, Lebanon, Malta, Mexico, Micronesia, Moldova, Montenegro, Netherlands, Nigeria, Pakistan, Paraguay, Peru, Philippines, Russia, Saint Lucia, Saudi Arabia, Serbia, Singapore, South Africa, Spain, Suriname, Thailand, Tunisia, US, Uruguay, Zambia, Zimbabwe 194 countries experienced a spike in new confirmed cases over 14 days ago: Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Brunei, Bulgaria, Burkina Faso, Burma, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo (Brazzaville), Congo (Kinshasa), Costa Rica, Cote d'Ivoire, Croatia, Cuba, Cyprus, Czechia, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Korea - South, Kosovo, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, North Macedonia, Norway, Oman, Pakistan, Palau, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Sudan, Spain, Sri Lanka, Sudan, Suriname, Sweden, Switzerland, Syria, Taiwan*, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Tuvalu, US, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uruguay, Uzbekistan, Vanuatu, Venezuela, Vietnam, West Bank and Gaza, Yemen, Zambia, Zimbabwe Strongest spike in past two days was in US at 64,861 new cases.Strongest spike in past five days was in US at 64,861 new cases.Strongest spike in outbreak was 424 days ago in US at 1,354,505 new cases. Global Total Confirmed COVID-19 Case Rate of 8620.91 per 100,000Global Active Confirmed COVID-19 Case Rate of 37.24 per 100,000Global COVID-19 Mortality Rate of 87.69 per 100,000 21 countries with over 200 per 100,000 active cases.5 countries with over 500 per 100,000 active cases.3 countries with over 1,000 per 100,000 active cases.1 country with over 2,000 per 100,000 active cases.Nauru is worst at 4,354.54 per 100,000.

  11. f

    Association between Attitude and COVID-19 vaccine knowledge.

    • plos.figshare.com
    xls
    Updated Jul 24, 2025
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    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha (2025). Association between Attitude and COVID-19 vaccine knowledge. [Dataset]. http://doi.org/10.1371/journal.pgph.0004408.t009
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    xlsAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha
    License

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

    Description

    Association between Attitude and COVID-19 vaccine knowledge.

  12. f

    Datasheet1_Provision and utilization of maternal health services during the...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Oct 31, 2023
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    Aline Semaan; Kristi Sidney Annerstedt; Lenka Beňová; Jean-Paul Dossou; Christelle Boyi Hounsou; Gottfried Agballa; Gertrude Namazzi; Bianca Kandeya; Samuel Meja; Dickson Ally Mkoka; Anteneh Asefa; Soha El-halabi; Claudia Hanson (2023). Datasheet1_Provision and utilization of maternal health services during the COVID-19 pandemic in 16 hospitals in sub-Saharan Africa.pdf [Dataset]. http://doi.org/10.3389/fgwh.2023.1192473.s001
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    pdfAvailable download formats
    Dataset updated
    Oct 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Aline Semaan; Kristi Sidney Annerstedt; Lenka Beňová; Jean-Paul Dossou; Christelle Boyi Hounsou; Gottfried Agballa; Gertrude Namazzi; Bianca Kandeya; Samuel Meja; Dickson Ally Mkoka; Anteneh Asefa; Soha El-halabi; Claudia Hanson
    License

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

    Area covered
    Sub-Saharan Africa
    Description

    ObjectiveMaintaining provision and utilization of maternal healthcare services is susceptible to external influences. This study describes how maternity care was provided during the COVID-19 pandemic and assesses patterns of service utilization and perinatal health outcomes in 16 referral hospitals (four each) in Benin, Malawi, Tanzania and Uganda.MethodsWe used an embedded case-study design and two data sources. Responses to open-ended questions in a health-facility assessment survey were analyzed with content analysis. We described categories of adaptations and care provision modalities during the pandemic at the hospital and maternity ward levels. Aggregate monthly service statistics on antenatal care, delivery, caesarean section, maternal deaths, and stillbirths covering 24 months (2019 and 2020; pre-COVID-19 and COVID-19) were examined.ResultsDeclines in the number of antenatal care consultations were documented in Tanzania, Malawi, and Uganda in 2020 compared to 2019. Deliveries declined in 2020 compared to 2019 in Tanzania and Uganda. Caesarean section rates decreased in Benin and increased in Tanzania in 2020 compared to 2019. Increases in maternal mortality ratio and stillbirth rate were noted in some months of 2020 in Benin and Uganda, with variability noted between hospitals. At the hospital level, teams were assigned to respond to the COVID-19 pandemic, routine meetings were cancelled, and maternal death reviews and quality improvement initiatives were interrupted. In maternity wards, staff shortages were reported during lockdowns in Uganda. Clinical guidelines and protocols were not updated formally; the number of allowed companions and visitors was reduced.ConclusionVarying approaches within and between countries demonstrate the importance of a contextualized response to the COVID-19 pandemic. Maternal care utilization and the ability to provide quality care fluctuated with lockdowns and travel bans. Women's and maternal health workers' needs should be prioritized to avoid interruptions in the continuum of care and prevent the deterioration of perinatal health outcomes.

  13. f

    Multivariate analysis showing acceptance of COVID-19 vaccine.

    • plos.figshare.com
    xls
    Updated Jul 24, 2025
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    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha (2025). Multivariate analysis showing acceptance of COVID-19 vaccine. [Dataset]. http://doi.org/10.1371/journal.pgph.0004408.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha
    License

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

    Description

    Multivariate analysis showing acceptance of COVID-19 vaccine.

  14. f

    Univariate analysis showing the acceptance of COVID-19 vaccine.

    • plos.figshare.com
    xls
    Updated Jul 24, 2025
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    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha (2025). Univariate analysis showing the acceptance of COVID-19 vaccine. [Dataset]. http://doi.org/10.1371/journal.pgph.0004408.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset provided by
    PLOS Global Public Health
    Authors
    Revocatus Lawrence Kabanga; Vincent John Chambo; Rebecca Mokeha
    License

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

    Description

    Univariate analysis showing the acceptance of COVID-19 vaccine.

  15. m

    Early Impacts of COVID-19 Pandemic on the Crude Oil Prices and Demand in...

    • data.mendeley.com
    Updated Oct 11, 2024
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    Mwewa Chikonkolo Mwape (2024). Early Impacts of COVID-19 Pandemic on the Crude Oil Prices and Demand in Sub-Saharan Africa: A Review [Dataset]. http://doi.org/10.17632/29ztj6vc7h.1
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    Dataset updated
    Oct 11, 2024
    Authors
    Mwewa Chikonkolo Mwape
    License

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

    Area covered
    Sub-Saharan Africa, Africa
    Description

    In March 2020, the World Health Organization (WHO) proclaimed COVID-19 a global pandemic with no therapy/vaccination or universally accepted therapeutic modalities. This resulted in the implementation of containment measures such as lockdowns, which hindered economic activities and, as a result, hampered global demand, consumption, and product transportation. The global crude oil supply chain was one of the most affected. As a result, this study was done to examine the effects of COVID-19 on global crude oil markets and its consequences in Sub-Saharan Africa (SSA), using Kenya and Tanzania as case studies. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA)-based content analysis approaches were utilized to analyse data from multiple sources, and the COVID-19-induced oil price crisis was compared to previous global crude oil gluts from 1970 to 2020. It has been determined that global crude oil prices dropped by 65.96% from around $69.25/barrel in January 2020 to $23.57/barrel in June 2020, with WTI reaching $-36.98/barrel in March 2020 (one of the highest in recent times). As a result, petroleum prices in Kenya and Tanzania fell by 30%. This, however, did not result in long-term energy price stability in the SSA due to a lack of logistical and storage capabilities. More research on energy storage, consumption, analysis, modelling, and preparedness for COVID-19-like disasters are suggested.

    Data from various trustworthy sources were gathered to enable a thorough and accurate investigation of the effects of covid-19 on energy prices.

  16. f

    Service delivery utilization data by facilities.

    • plos.figshare.com
    xlsx
    Updated Jun 2, 2023
    + more versions
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    Elizabeth H. Shayo; Nahya Khamis Nassor; Leonard E. G. Mboera; Esther Ngadaya; Peter Mangesho; Mtumwa Bakari; Mark Urassa; Mohamed Seif; Clotilda Tarimo; Ame Masemo; Blandina Theofil Mmbaga; Natasha O’Sullivan; David McCoy; Giuliano Russo (2023). Service delivery utilization data by facilities. [Dataset]. http://doi.org/10.1371/journal.pgph.0001549.s002
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    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS Global Public Health
    Authors
    Elizabeth H. Shayo; Nahya Khamis Nassor; Leonard E. G. Mboera; Esther Ngadaya; Peter Mangesho; Mtumwa Bakari; Mark Urassa; Mohamed Seif; Clotilda Tarimo; Ame Masemo; Blandina Theofil Mmbaga; Natasha O’Sullivan; David McCoy; Giuliano Russo
    License

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

    Description

    The SARS-Cov-2 virus (COVID-19) has had a global social and economic impact. Despite the growing evidence, its effects on access and delivery of maternal and child health services in low-income countries are still unclear. This cross-sectional case study was conducted in Mjini Magharibi, Chake Chake, and Ilala districts in Tanzania to help fill this gap. The study combined qualitative and quantitative data collection methods, providing an account of the evolution of the pandemic and the associated control measures in Tanzania. We drew from 34 in-depth interviews, 60 semi-structured interviews, and 14 focus group discussions with key informants, patients, and health providers, and complemented the findings with a review of pandemic reports and health facility records. We followed the Standards for Reporting Qualitative Research (SRQR) to provide an account of the findings. Our account of the pandemic shows that there was at times an inconsistent policy response in Tanzania, with diverse control measures adopted at various stages of the epidemic. There was a perception that COVID-19 services were prioritized during the epidemic at the expense of regular ones. There were reports of reorganisation of health facilities, reallocation of staff, rescheduled antenatal and postnatal clinics, and reduced time for health education and child monitoring. Scarcity of essential commodities was reported, such as vaccines, equipment, and medical supplies. Such perceptions were in part supported by the routine utilization evidence in the three districts, showing a lower uptake of antenatal, postnatal, family planning, and immunization services, as well as fewer institutional deliveries. Our findings suggest that, although the policy response in Tanzania was erratic, it was rather fear of the pandemic itself and diversion of resources to control COVID-19, that may have contributed most to lower the utilization of mother and child services. For future emergencies, it will be crucial to ensure the policy response does not weaken the population’s demand for services.

  17. Malete et al., Physical Activity and Mental Health During COVID-19 in Four...

    • figshare.com
    csv
    Updated Sep 10, 2024
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    Leapetswe Malete (2024). Malete et al., Physical Activity and Mental Health During COVID-19 in Four African Countries [Dataset]. http://doi.org/10.6084/m9.figshare.26977597.v2
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    csvAvailable download formats
    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Leapetswe Malete
    License

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

    Area covered
    Malete, Africa
    Description

    Considering varied COVID-19 responses in Botswana, Ghana, Nigeria, and Tanzania when cases started to increase in the continent, this study examined the proportion of adults meeting World Health Organization (WHO; 2020) PA guidelines (≥ 150 minutes of moderate-to-vigorous intensity PA [MVPA] per week), as well as the associations between time (minutes) spent in MVPA per week and symptoms of anxiety and depression.

  18. f

    Datasheet2_Provision and utilization of maternal health services during the...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Oct 31, 2023
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    Aline Semaan; Kristi Sidney Annerstedt; Lenka Beňová; Jean-Paul Dossou; Christelle Boyi Hounsou; Gottfried Agballa; Gertrude Namazzi; Bianca Kandeya; Samuel Meja; Dickson Ally Mkoka; Anteneh Asefa; Soha El-halabi; Claudia Hanson (2023). Datasheet2_Provision and utilization of maternal health services during the COVID-19 pandemic in 16 hospitals in sub-Saharan Africa.docx [Dataset]. http://doi.org/10.3389/fgwh.2023.1192473.s002
    Explore at:
    docxAvailable download formats
    Dataset updated
    Oct 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Aline Semaan; Kristi Sidney Annerstedt; Lenka Beňová; Jean-Paul Dossou; Christelle Boyi Hounsou; Gottfried Agballa; Gertrude Namazzi; Bianca Kandeya; Samuel Meja; Dickson Ally Mkoka; Anteneh Asefa; Soha El-halabi; Claudia Hanson
    License

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

    Area covered
    Sub-Saharan Africa
    Description

    ObjectiveMaintaining provision and utilization of maternal healthcare services is susceptible to external influences. This study describes how maternity care was provided during the COVID-19 pandemic and assesses patterns of service utilization and perinatal health outcomes in 16 referral hospitals (four each) in Benin, Malawi, Tanzania and Uganda.MethodsWe used an embedded case-study design and two data sources. Responses to open-ended questions in a health-facility assessment survey were analyzed with content analysis. We described categories of adaptations and care provision modalities during the pandemic at the hospital and maternity ward levels. Aggregate monthly service statistics on antenatal care, delivery, caesarean section, maternal deaths, and stillbirths covering 24 months (2019 and 2020; pre-COVID-19 and COVID-19) were examined.ResultsDeclines in the number of antenatal care consultations were documented in Tanzania, Malawi, and Uganda in 2020 compared to 2019. Deliveries declined in 2020 compared to 2019 in Tanzania and Uganda. Caesarean section rates decreased in Benin and increased in Tanzania in 2020 compared to 2019. Increases in maternal mortality ratio and stillbirth rate were noted in some months of 2020 in Benin and Uganda, with variability noted between hospitals. At the hospital level, teams were assigned to respond to the COVID-19 pandemic, routine meetings were cancelled, and maternal death reviews and quality improvement initiatives were interrupted. In maternity wards, staff shortages were reported during lockdowns in Uganda. Clinical guidelines and protocols were not updated formally; the number of allowed companions and visitors was reduced.ConclusionVarying approaches within and between countries demonstrate the importance of a contextualized response to the COVID-19 pandemic. Maternal care utilization and the ability to provide quality care fluctuated with lockdowns and travel bans. Women's and maternal health workers' needs should be prioritized to avoid interruptions in the continuum of care and prevent the deterioration of perinatal health outcomes.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2022). Confirmed COVID-19 cases in Tanzania 2022 [Dataset]. https://www.statista.com/statistics/1258560/confirmed-covid-19-cases-in-tanzania/
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Confirmed COVID-19 cases in Tanzania 2022

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Dataset updated
Jun 15, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jun 1, 2022
Area covered
Tanzania
Description

As of June 1, 2022, Tanzania reported a total of 33,928 confirmed coronavirus (COVID-19) cases. The country started releasing data on the disease in July 2021, after denying the spread of the pandemic in its territory for over one year. In the same month, Tanzania kicked off its vaccination campaign against COVID-19.

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