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dryad36/100

Policy and programmatic directions for the Lesotho tuberculosis programme: Findings of the national tuberculosis prevalence survey, 2019

<p><strong>Introduction</strong></p> <p>The Kingdom of Lesotho has one of the highest burdens of tuberculosis (TB) in the world. A national TB prevalence survey was conducted to estimate the prevalence of bacteriologically confirmed pulmonary TB disease among those ≥15 years of age in 2019.</p> <p><strong>Method</strong></p> <p>A multistage cluster-based cross-sectional survey where residents ≥15 years in 54 clusters sampled from across the country were eligible to participate. Survey participants were screened using a symptom screen questionnaire and digital chest X-ray (CXR). Respondents who acknowledged cough of any duration, fever, weight loss, night sweats and/or had any CXR abnormality in the lungs were asked to provide two spot sputum specimens. All sputum testing was conducted at the National TB Reference Laboratory (NTRL), where samples underwent Xpert MTB/RIF Ultra (1st sample) and MGIT culture (2nd sample). HIV counselling and testing was offered to all survey participants. TB cases were those with Mycobacterium tuberculosis complex-positive samples with culture; and where culture was not positive, Xpert MTB/RIF Ultra (Xpert Ultra) was positive with a CXR suggestive of active TB and no current or prior history of TB.</p> <p><strong>Result</strong></p> <p>A total of 39,902 individuals were enumerated, and of these, 26,857 (67.3%) were eligible to participate; 21,719 (80.9%) participated in the survey of which 8,599 (40%) were males and 13,120 (60%) were females. All 21,719 (100%) survey participants underwent symptom screening and a total of 21,344 participants (98.3%) had a CXR. Of the 7,584 (34.9%) participants who were eligible for sputum examination, 4,190 (55.2%) were eligible by CXR only, 1,455 (19.2%) by symptom screening, 1,630 by both, and 309 by CXR exemption. A total of 6,780 (89.4%) submitted two sputum specimens, and 311 (4.1%) submitted one sample only. From the 21,719 survey participants, HIV counseling and testing was offered to 17,048, and 3,915 (23.0%) were documented as HIV-positive. The survey identified 132 participants with bacteriologically confirmed pulmonary TB thus providing an estimated prevalence of 581 per 100,000 population (95% CI 466–696) for those ≥15 years in 2019. Using the survey results, TB incidence was re-estimated to be 654 per 100,000 (95% CI 406–959), which was comparable to the 2018 TB incidence rate of 611 per 100,000 (95% CI 395–872) reported by the World Health Organization (WHO). The highest TB burden was found in those ≥55 years and among men. The ratio of prevalence to case notification was estimated at 1.22. TB/HIV coinfection was identified in 39 (29.6%) participants. Out of the 1,825 participants who reported a cough, 50% of these participants, mostly men, did not seek care. Those who sought care predominantly went to the public health facilities.</p> <p><strong>Conclusion</strong></p> <p>The TB prevalence survey results confirmed that burden of TB and TB/HIV coinfection remains very high in Lesotho. Given that TB prevalence remains high, and there is a significant proportion of participants with confirmed TB that did not report TB suggestive symptoms. The National TB Programme will need to update its TB screening and treatment algorithms to achieve the End TB targets. A major focus will need to be placed on finding the "missing cases" i.e., undiagnosed or under-reported TB cases, or ensuring that not only TB symptomatic but also those who do not present with typical TB symptoms are promptly identified to reduce further onward transmission.</p>

opencc-zeroMay 2023View details →
zenodo36/100

National Taiwan Museum Rational Validity Assessment, May 2023

<p>This is the data gathered in order to perform a rational validity assessment of the National Taipei Museum, checking its displayed collection against its mission statement.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Fig. 64 in Survey of Linyphiidae spiders (Arachnida: Araneae) from Wulipo National Nature Reserve, Chongqing, China

Fig. 64. Location of Wulipo National Nature Reserve, Chongqing, China.

opencc-by-4.0Jun 2023View details →
dryad36/100

Scholarly publishing in a developing nation

<p class="MsoNormal">The scholarly literature from the developing world is low, and the scientific impact in some countries, including Libya, is much lower compared with their peers. This study explores the editorial practices and editors' perspectives to gain insight into the standard of scholarly publishing in Libya.</p>

opencc-zeroJun 2023View details →
zenodo36/100

The National Bibliography of Scotland (version 2) - Data Foundry - National Library of Scotland

<p>This dataset was created in October-December 2022 for the National Library of Scotland&#39;s Data Foundry by&nbsp;<a href="https://data.nls.uk/projects/the-national-librarians-research-fellowship-in-digital-scholarship-2022-23/">Gustavo Candela, National Librarian&rsquo;s Research Fellowship in Digital Scholarship 2022-23</a>.</p> <p>This output is based on the&nbsp;<a href="https://data.nls.uk/data/metadata-collections/national-bibliography-of-scotland/">The National Bibliography of Scotland (version 2)</a>&nbsp;dataset and&nbsp;is the result of the transformation to RDF described in a research article published in the&nbsp;<a href="https://doi.org/10.1177/01655515231174386">Journal of Information Science</a>.</p> <p>For more information about the&nbsp;project, visit the&nbsp;<a href="https://data.nls.uk/projects/the-national-librarians-research-fellowship-in-digital-scholarship-2022-23/">Data Foundry Fellowship page</a>.</p> <p><strong>References</strong></p> <p>Candela, G. (2023). Towards a semantic approach in GLAM Labs: The case of the Data Foundry at the National Library of Scotland.&nbsp;<em>Journal of Information Science</em>.&nbsp;<a href="https://doi.org/10.1177/01655515231174386">https://doi.org/10.1177/01655515231174386</a></p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Moving Image Archive - Data Foundry - National Library of Scotland

<p>This dataset was created in October-December 2022 for the National Library of Scotland&#39;s Data Foundry by&nbsp;<a href="https://data.nls.uk/projects/the-national-librarians-research-fellowship-in-digital-scholarship-2022-23/">Gustavo Candela, National Librarian&rsquo;s Research Fellowship in Digital Scholarship 2022-23</a>.</p> <p>This output is based on the&nbsp;<a href="http://data.nls.uk/data/metadata-collections/moving-image-archive/">Moving Image Archive</a>&nbsp;dataset and&nbsp;is the result of the transformation to RDF described in a research article published in the <a href="https://doi.org/10.1177/01655515231174386">Journal of Information Science</a>.</p> <p>For more information about the&nbsp;project, visit the <a href="https://data.nls.uk/projects/the-national-librarians-research-fellowship-in-digital-scholarship-2022-23/">Data Foundry Fellowship page</a>.</p> <p><strong>References</strong></p> <p>Candela, G. (2023). Towards a semantic approach in GLAM Labs: The case of the Data Foundry at the National Library of Scotland.&nbsp;<em>Journal of Information Science</em>.&nbsp;<a href="https://doi.org/10.1177/01655515231174386">https://doi.org/10.1177/01655515231174386</a></p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Bibliography of Scottish Literature in Translation (BOSLIT) - Data Foundry - National Library of Scotland

<p>This dataset was created in October-December 2022 for the National Library of Scotland&#39;s Data Foundry by&nbsp;<a href="https://data.nls.uk/projects/the-national-librarians-research-fellowship-in-digital-scholarship-2022-23/">Gustavo Candela, National Librarian&rsquo;s Research Fellowship in Digital Scholarship 2022-23</a>.</p> <p>This output is based on the&nbsp;<a href="https://data.nls.uk/data/metadata-collections/boslit/">Bibliography of Scottish Literature in Translation (BOSLIT)</a>&nbsp;dataset and&nbsp;is the result of the transformation to RDF described in a research article published in the&nbsp;<a href="https://doi.org/10.1177/01655515231174386">Journal of Information Science</a>.</p> <p>For more information about the&nbsp;project, visit the&nbsp;<a href="https://data.nls.uk/projects/the-national-librarians-research-fellowship-in-digital-scholarship-2022-23/">Data Foundry Fellowship page</a>.</p> <p><strong>References</strong></p> <p>Candela, G. (2023). Towards a semantic approach in GLAM Labs: The case of the Data Foundry at the National Library of Scotland.&nbsp;<em>Journal of Information Science</em>.&nbsp;<a href="https://doi.org/10.1177/01655515231174386">https://doi.org/10.1177/01655515231174386</a></p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Datasets from: A Worldwide View of Nation-state Internet Censorship, Free and Open Communications on the Internet (FOCI), 2023

<p>These data were used to perform the cross-sectional study, systematic literature review, and analysis presented in the research framework from the paper, A Worldwide View of Nation-state Internet Censorship - presented at the FOCI workshop as part of the 23rd Privacy Enhancing Technologies Symposium in Lausanne, Switzerland.</p>

opencc-by-4.0Jul 2023View details →
dryad36/100

Population dynamics and social organization of sambar (Rusa unicolor unicolor) in Horton Plains National Park, Sri Lanka

<p>We estimated the population density and investigated the social organization of sambar (<em>Rusa unicolor unicolor</em>) in Horton Plains National Park (HPNP), Sri Lanka. Distance sampling was conducted along six strip transects every month for a period over three years (2018–2020) to estimate the density of the sambar population in grasslands of HPNP (9.4 km<sup>2</sup>), while the antler stage of males and the behaviour of individuals were recorded to describe the population's reproductive stage and hence the social organization. Population density estimates showed relative stability over the three years and varied over the seasons but with consistent peaks from year to year with the highest population densities recorded in November-December (212.93 ± 25.38 animals/km<sup>2</sup> in 2018, 187.91 ± 28.51 in 2019, and 179.76 ± 31.85 in 2020). The highest percentage of males in hard antlers was observed from November through January, while the percentage of antlers cast sambar peaked from March to April each year. Hinds were observed with newborn calves throughout the year, but the highest number of newborn calves were recorded from July to August each year, while the number of calves counted each year varied from 210–267 individuals. The mean group size was variable throughout each year with the largest groups recorded from September to December (up to 52), the period accompanied by the most observations of mating and sparring behaviour. Although on a tropical island, HPNP is situated on a rolling plateau landscape in the highlands, where sambar showed a degree of reproductive seasonality somewhat similar to temperate cervid species.</p>

opencc-zeroJun 2023View details →
zenodo36/100

footballing-nations

footballing-nations <blockquote> <p>relies on <a href="https://github.com/sscu-budapest/datazimmer">datazimmer</a> and the <a href="https://sscu-budapest.github.io/tooling">tooling</a> of sscub</p> </blockquote>

openmit-licenseJan 2023View details →
zenodo36/100

Data, research code, and metadata related to the Soils of the Upper Part of Itatiaia National Park (INP) for Pedology, Hyperspectral Soil Mapping, and Spectral studies

<p>Data, research code (in R language), and metadata related to the Soils&nbsp;of the Upper Part of Itatiaia National Park (INP) for&nbsp;Hyperspectral Soil Mapping</p> <p>Up to this point, this data, and code were used in the&nbsp;Doctoral thesis of Elias Mendes Costa and&nbsp;Yuri Andrei Gelsleichter, and the following publications.</p> <p>------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Dados, c&oacute;digo de pesquisa (em linguagem R) e metadados relacionados aos Solos e ao Mapeamento da Parte Superior do Parque Nacional de Itatiaia (PNI) para o Mapeamento Hiperespectral&nbsp;de Solos</p> <p>At&eacute; este momento, esses dados, e c&oacute;digos foram utilizados nas&nbsp;teses de doutorado de Elias Mendes Costa e de Yuri Andrei Gelsleichter e nas seguintes publica&ccedil;&otilde;es.</p> <p>&nbsp;</p> <p>Gelsleichter, Y. A., Costa, E. M., dos Anjos, L. H. C., &amp; Marcondes, R. A. T. (2023). Enhancing soil mapping with hyperspectral subsurface images generated from soil lab vis-SWIR spectra tested in southern Brazil. Geoderma Regional, e00641.<br> doi: https://doi.org/10.1016/j.geodrs.2023.e00641<br> link: https://www.sciencedirect.com/science/article/pii/S2352009423000378</p> <p>Costa, E. M., Pinheiro, H. S. K., Anjos, L. H. C. dos, Marcondes, R. A. T., &amp; Gelsleichter, Y. A. (2020). Mapping soil properties in a poorly-accessible area. Revista Brasileira de Ci&ecirc;ncia Do Solo, 44.<br> doi:&nbsp;https://doi.org/10.36783/18069657rbcs20190107<br> link:&nbsp;https://www.rbcsjournal.org/article/mapping-soil-properties-in-a-poorly-accessible-area/<br> <br> Costa, E. M., dos Anjos, L. H. C., Pinheiro, H. S. K., Gelsleichter, Y. A., &amp; Marcondes, R. A. T. (2020). Spatial Bayesian belief networks: A participatory approach for mapping environmental vulnerability at the Itatiaia National Park, Brazil. Environmental Earth Sciences, 79, 1&ndash;13.<br> doi:&nbsp;https://doi.org/10.1007/s12665-020-09099-9<br> link:&nbsp;https://link.springer.com/article/10.1007/s12665-020-09099-9#citeas</p> <p>The code is arranged to deliver the outputs in their respective folders.</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

Fig. 2 in The Odonate fauna of Val Grande National Park (Insecta: Odonata)

Fig. 2 – Frequency of records of odonates in VGNP.

opencc-by-4.0Mar 2021View details →
zenodo36/100

Additional Files for "Assessing the potential of germplasm collections for the management of genetic diversity: the case of the French National Cryobank"

<p>Additional files for the article entitled &quot;Assessing the potential of germplasm collections for managing genetic diversity: the case of the French National Cryobank&quot;.</p> <p><strong>Additional file 1: Table S1</strong></p> <p><strong>Title:</strong>&nbsp;Report on the output of material since the creation of the French National Cryobank</p> <p><strong>Additional file 2: Figure S1</strong></p> <p><strong>Title:</strong>&nbsp;Summary of material outputs from the French National Cryobank since 1999</p> <p><strong>Additional file 3: Table S2</strong></p> <p><strong>Title:</strong>&nbsp;Descriptors from the French National Cryobank data for six species</p> <p><strong>Additional file 4: Figure S2</strong></p> <p><strong>Title:</strong>&nbsp;Distribution of data and definition of intervals regarding breed diffusion (A), donor birth-year classes (B), and classes of donor&rsquo;s age at 1<sup>st</sup>&nbsp;collection (C)</p> <p><strong>Additional file 5: Table S3</strong></p> <p><strong>Title:</strong>&nbsp;Statistics of the number of effective donors (De) according to species</p> <p><strong>Additional file 6: Table S4</strong></p> <p><strong>Title:</strong>&nbsp;Distribution of donors and doses across breeds</p> <p><strong>Description:</strong>&nbsp;In green, the breeds for which the FNC collections meet FAO conditions for reconstitution of an extinct breed. In blue, the breeds for which the collections of the FNC do not yet meet FAO conditions for reconstitution of an extinct breed. In gray, FAO recommendations not available. Based on the 2012 FAO report, with 100 founder females for ruminants and horses, or 30 founder females for pigs (with a pregnancy rate of 0.6).</p> <p><strong>Additional file 7: Figure S3</strong></p> <p><strong>Title:</strong>&nbsp;Evolution of genetic contributions of sires and their production of direct descendants in the French National Cryobank over the period 2011&ndash;2020 for three livestock species</p> <p><strong>Description:</strong>&nbsp;Two breeds of pigs are represented in pink (a, b), three breeds of sheep are represented in blue (c, d, e), and five breeds of cattle are represented in ochre (f, g, h, i, j).</p> <p><strong>Additional file 8: Figure S4</strong></p> <p><strong>Title:</strong>&nbsp;Distribution of individual IDIs of cryopreserved sires for the 17 breeds analyzed</p> <p><strong>Description:</strong>&nbsp;Pig breeds are represented in pink, sheep breeds are represented in blue, and cattle breeds are represented in ochre.</p> <p><strong>Additional file 9: Figure S5</strong></p> <p><strong>Title:</strong>&nbsp;Correlation between IDI values and the year of birth of donors</p> <p><strong>Additional file 10: Figure S6</strong></p> <p><strong>Title:</strong>&nbsp;Prediction of IDI values based on donor&rsquo;s year of birth and the motivation for entry into collection</p> <p><strong>Description:</strong>&nbsp;Type I (for endangered breeds) is represented in purple and type III (for representative individuals of a breed over a period) is represented in orange.</p>

opencc-by-4.0Jul 2023View details →
zenodo36/100

The Optimal Climate Intervention Scenario for Crop Production Varies by Nation

<p><strong>Abstract.&nbsp;</strong>Stratospheric aerosol intervention (SAI) is a proposed strategy to reduce the effects of anthropogenic climate change. As it would not directly counteract the increased forcing from CO<sub>2</sub>, its impacts on national crop production need to be analyzed, as SAI regionally modifies variables such as surface temperature, precipitation, humidity, total solar radiation, diffuse radiation, ultraviolet radiation, and surface ozone. In this work, we analyze impacts to crop production by looking at output from 11 different SAI scenarios carried out with a fully coupled Earth System Model coupled to a crop model. Higher latitude nations tend to produce the most calories under unabated climate change, while midlatitude nations maximize calories under moderate temperature limitation, and equatorial nations prefer large levels of climate intervention to produce the most calories from crops. Our results highlight the challenges in defining &ldquo;globally optimal&rdquo; SAI strategies, even if such definitions are based on just one metric.</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

Permits issued in respect of South Africa's National Environmental Management: Biodiversity Act's Alien and Invasive Species Regulations over the period October 2014–December 2022

<p>Data based on records of permits issued by the South African Department of Forestry, Fisheries, and the Environment (DFFE) to conduct activities on listed invasive species restricted under the NEM:BA A&amp;IS Regulations of 2014<br> This is based on the file &lt;Copy of Official AIS Permit Register (31 Aug 2019).xlsx&gt; with updates to 2020 based on the updates in the file &lt;AIS Permit Register Updated to 21 January 2021.xlsx&gt;&nbsp; and updates to Dec 2022 based on the file &lt;AIS Permit register updated up to 31 Decenber 2022.xlsx&gt;<br> Compiled for the purposes of the reporting process&nbsp; &quot;The Status of Biological Invasions and their Management in South Africa&quot;, see http://iasreport.sanbi.org.za/ for more details.&nbsp; Can access the latest report on Zenodo http://dx.doi.org/10.5281/zenodo.3947613 and the latest species list associated with the report via http://dx.doi.org/10.5281/zenodo.3947659<br> For details of how this was constructed see the relevant workflow in the status report process.<br> Where appropriate the rationale for issuing a permit is as per the wording of the regulations and lists of 2020 (see below for the full citation)<br> Each row represents a permit for a&nbsp; particular species for a particular activity.&nbsp; Permit numbers can cover multiple taxa<br> The original data-set has details of the applicant and their contact numbers, who the permit was handled by, and the method by and date on which the permit was sent to the permit holder, these have been redacted<br> Note there can be multiple permits issued to the same permit holder for the same species for the same purposes with the same start and end date<br> In cases where two permits were issued to the same applicant and one of which was for research, both were deemed for research even if it was not specified as such</p> <p>For enquiries contact: invasives@sanbi.org.za or IAS.report.SANBI@gmail.com</p> <p>Suggested citation (noting that in most cases it will be more appropriate to reference the Department responsible itself): SANBI (2023) Permits issued in respect of South Africa&#39;s National Environmental Management: Biodiversity Act&#39;s Alien and Invasive Species Regulations over the period October 2014 &ndash; December 2022. version&nbsp; 20230809. Zenodo.&nbsp; https://dx.doi.org/10.5281/zenodo.8229321</p>

opencc-by-4.0May 2023View details →
zenodo36/100

An infoveillance analysis of public interest, national data and wastewater monitoring in Wales, UK

<p>Infoveillance, wastewater and national data.R - The R script used for the analyses and figures present in the manuscript.</p> <p>&nbsp;</p> <p>R functions:</p> <p>flattenCorrMatrix.R -A function for correlation analysis</p> <p>cormtest.R - A function for correlation analysis</p> <p>&nbsp;</p> <p>Data files:</p> <p>Medical data.csv - Data extracted from the UK government portal for COVID-19 cases, deaths and vaccinations</p> <p>South Wales qPCR data.csv - qPCR data for different South Wales sites on each date, with &lsquo;signal&rsquo; denoting the signal of SARS-CoV-2 detection in wastewater samples</p> <p>Wales GT data.csv - Google Trends relative search volume data extracted directly from Google Trends for the region of Wales</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Data for validation and norming of the Danish KIDSCREEN-10 child/adolescent version in a national representative sample of school pupils in grades five through eight

<p>Data for&nbsp;for analyses in Measuring child and adolescent well-being in Denmark: validation and norming of the Danish KIDSCREEN-10 child/adolescent version in a national representative sample of school pupils in grades five through eight. Contains the following variables:</p> <p>Variables Kid1 to Kid10 are the KISDCREEN 10 items. Category labels are &nbsp;the orginal from the KIDSCREEN consortium (Danish version). Items Kid3 and Kid4 are reversed coded according to the KIDSCREEN coding manual. Valus have been recoded from 1-5 to 0-4 for the purpose of item analyses.</p> <p>Language (spoken in the home): 1 = Danish, 2 = other</p> <p>School: 1 = public, 2 = private</p> <p>Sex: 1 = boy, 2 = girl</p> <p>Grade (level): 1 = 5th grade, 2 = 6th grade, 3 = 7th grade, 4 = 8th grade</p> <p>Sample (random): 1 to 7</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Localizing Commitments, Challenges, and Insights on the Road to Immunization Agenda 2030: Responses from 6,185 national and sub-national staff (Immunization Agenda 2030 Full Learning Cycle, 7 March - 20 June 2022)

<p># Localizing Commitments, Challenges, and Insights on the Road to Immunization Agenda 2030: Responses from 6,185 national and sub-national staff (Immunization Agenda 2030 Full Learning Cycle, 7 March - 20 June 2022)</p> <p>## Abstract<br> This data set contains survey responses from over 6,000 national and subnational immunization staff who applied to participate in a 2022 Full Learning Cycle (FLC) learning programme of The Geneva Learning Foundation (TGLF), intended to contribute to the Movement for Immunization Agenda 2030. The 95-item questionnaire collected information on respondents&#39; commitment to the movement&#39;s principles, demographics, work challenges, motivation and learning culture, and the impact of COVID-19 on routine immunization. The purpose was to understand applicants&#39; priority challenges and readiness to engage in peer learning to advance country and global immunization goals. Questions addressed consent, identity confirmation, COVID-19 vaccination status, employer, role, system level, past participation in the sponsoring organization&#39;s programs, work and wellbeing, difficulties with COVID-19 vaccination, outbreak response, gender equity, and reaching zero-dose children. Applicants identified one priority challenge in their work that they would seek to address through the program. This data set offers insights into frontline perspectives on strengthening immunization programs. Secondary analysess were performed in 2022 and 2023 to illuminate human resource issues, gender barriers, pandemic recovery, and peer learning for change.</p> <p>## Research Audience</p> <p>Education and global health researchers with interest in human resources for health (HRH) and the characteristics, priority challenges, and experiences of national and sub-national immunization staff participating in the Movement for Immunization Agenda (IA) 2030.</p> <p>## Credits</p> <p>### Author</p> <p>The Geneva Learning Foundation (TGLF)<br> 18 Avenue Louis Casa&iuml;&nbsp;<br> CH1209 Geneva, Switzerland<br> research@learning.foundation</p> <p>### Principal Investigator and Corresponding Author<br> Reda Sadki, TGLF<br> reda@learning.foundation</p> <p>### Project Partners<br> - Biostat Global Consulting (BGC)<br> - Bridges to Development<br> - Centre for Change &amp; Complexity in Learning (C3L)</p> <p>### Partners&#39; Roles and Responsibilities<br> - Design: TGLF<br> - Implementation (sample collection): TGLF<br> - Processing: TGLF, C3L<br> - Anonymization: BGC<br> - Data cleaning: Bridges to Development<br> - Submission: TGLF<br> - Maintenance of learning analytics database where data are stored: C3L</p> <p>### Funding<br> Wellcome Trust, Bill &amp; Melinda Gates Foundation (BMGF)</p> <p>## Recommended Citation<br> The Geneva Learning Foundation, 2023. Full Learning Cycle (2022) Application for national and sub-national immunization staff to identify challenges and join the Movement for Immunization Agenda (IA 2030) (Version 1.0) [Data Set]. The Geneval Learning Foundation. [DOI:https://doi.org/10.5281/zenodo.8199552](https://zenodo.org/record/8199552)</p> <p>## File List<br> IA2030_EN_FLC_2022_Application_Survey.README.md (this document)</p> <p>20220211.IA2030-EN Movement application-FINAL.docx: List of questions included in the questionnaire. (Note: skip patterns are not shown.)</p> <p>IA2030_EN_Application_Survey_Dataset.xlsx: English version of anonymized Application Survey Dataset. Version 1: Geneva Learning Foundation, 11 August 2023. (6,669 observations; 58 variables)</p> <p>## Related Data Sets<br> This is a subset of data collected by The Geneva Learning Foundation (TGLF) during the first IA2030 Full Learning Cycle (FLC). The complete IA2030 Application Survey data set is more comprehensive, and includes information such as respondents&#39; gender, employer, professional role, country, and health system level, as well as responses to open-text questions.&nbsp;</p> <p>Researchers who would like to analyze the full set of unredacted responses are invited to contact the Geneva Learning Foundation to inquire about a Data Sharing Agreement that would stipulate conditions of access (insights@learning.foundation).</p> <p>The Geneva Learning Foundation, 2023. Value Creation Stories (VCS) weekly feedback survey, 2022 Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) (Version 1.0). [Data Set]. The Geneva Learning Foundation. DOI: https://doi.org/10.5281/zenodo.7763922&nbsp;</p> <p>Additional data sets for the first Full Learning Cycle (FLC) of the Movement for Immunization Agenda 2030 (IA2030) are available from TGLF&#39;s Insights Unit (&lt;insights@learning.foundation&gt;).</p> <p>## Survey Purpose</p> <p>The Immunization Agenda 2030, the global immunization strategy for 2021-2030, set ambitious targets for global immunization coverage and other key indicators (World Health Organization [WHO], 2023a).</p> <p>In response to the WHO Director-General&#39;s call for a social movement to ensure immunization remains a priority for global and regional health agendas and promote broad societal support for immunization (WHO, 2023b), TGLF, working with its global community of over 35,000 alumni, developed a learning programme intended to contribute to a &ldquo;Movement for Immunization Agenda 2030 (IA2030)&rdquo;.</p> <p>In addition to participating in structured peer learning activities, applicants made a pledge to work towards IA2030 and their country&#39;s goals, adhere to the IA2030 core principles, and to provide support to their peers making similar commitments.</p> <p>The purpose of the IA2030 Application Survey was to collect demographic and organizational information from immunization workers who work at the national or sub-national level interested in applying for the 2022 Learning Cycle and for membership in the Movement for IA2030.</p> <p>## Survey Questionnaire<br> The survey questionnaire consisted of both quantitative (Likert) and qualitative (open-text) responses to 95 questions documenting respondents&#39; commitment to joining the Movement for IA2030 and adhering to relevant principles, demographic characteristics, information about work history and role, work and well-being, learning culture and performance, COVID-19 recovery efforts through vaccination campaigns and routine immunization (including outreach), priority work-related challenges, and most important reason for wanting to join the Movement for IA2030.</p> <p>Survey content was informed by TGLF&#39;s six years of experience working with thousands of immunization workers from over 90 countries.</p> <p>The survey was administered in English and French. While most of questions were required, several items, including questions about work and well-being and COVID-19 vaccination status, were optional.</p> <p>### Question Scaling and Response Options<br> Most questions were asked with a &#39;select one response&#39; instruction, but several encouraged the respondent to &#39;select all that apply&#39;.<br> - AP_CAR_20&nbsp;&nbsp; &nbsp;Which of these job categories apply to you?<br> - AP_ENV_55&nbsp;&nbsp; &nbsp;Where you work, what strategies have been put in place to reach under immunized or zero-dose children?<br> - AP_CHA_63&nbsp;&nbsp; &nbsp;Is your challenge related to any of these?<br> - AP_ENV_78&nbsp;&nbsp; &nbsp;What actions are being taken at your level of the health system to strengthen RI or PHC that specifically takes advantage of some aspect of COVID-19 vaccine introduction?<br> - AP_ENV_87&nbsp;&nbsp; &nbsp;Select all activities used for catch-up.<br> - AP_ENV_91&nbsp;&nbsp; &nbsp;What were the disruptions related to?</p> <p>Each person&#39;s several responses are stored in a single text variable and separated by commas. Some data management will be necessary to divide these strings of text into individual variables to represent each response option.</p> <p>## Overview of questionnaire for respondents<br> The following information was shared with all applicants to provide an overview of the questions and their rationale.</p> <p>First, we ask you for:<br> - Consent to share your data, to confirm your supervisor&rsquo;s support, and to make commitments to follow country and WHO guidelines on COVID-19 and immunization<br> - Your legal name and birthdate to confirm your identity for certification.<br> - Your WhatsApp number to connect you with other participants in the Movement.<br> - Your organization, role, and health system level, and if you are a TGLF alum.<br> - We ask you about your work and well-being: Before we ask you about the challenges you face, we ask about your work and well-being, especially your motivation and how learning is being supported where you work.<br> - We ask about the challenges you face: In 2020, global immunization coverage levels for infants dropped back to 2009 levels. It is like we lost 11 years of hard work. So we ask you about the challenges you face: COVID-19 vaccination, epidemic outbreaks (measles, yellow fever, etc.), gender barriers, and zero-dose children.<br> - We ask you to pick the challenge that you will work on in the Movement: Then we ask you to identify your most difficult and important challenge. This is the one that you will focus on in the Movement. (You can always change later.)<br> - Are you truly committed to learning with colleagues from all over the world? Because the Movement is about learning, sharing experience, and collaborating with others, we ask you to confirm to what extent this is what you want to do.<br> - We ask you to share your successes, ideas, and lessons learned: Because we know that you have many strengths, we ask you if you want to share a success story, and idea, or a lesson learned with colleagues.<br> - We ask you if you want to help build and shape the Movement for IA2030: We ask you if you want to join the Organizing Committee to help build the Movement for Immunization Agenda 2030.<br> - Global partners request your help: Finally, we ask you to answer questions that IA2030 global partners are specifically interested in, about the effect of COVID-19 on routine immunization, catch-up activities, and your own COVID-19 vaccination. (You can choose to skip these questions.)</p> <p>### Specific questions that respondents were encouraged to reflect upon before writing out their answers<br> - Tell us more about your work and well-being. What are the worst and best parts of your job? Where do you find the motivation to continue your work? What helps you feel involved in your work? &nbsp;How has the COVID-19 pandemic changed how you feel about your work? What makes you lose or gain your motivation?&nbsp;<br> - Tell us more about the effect of the introduction of the COVID-19 vaccine for routine immunization (RI) and primary health care (PHC) services in the area where you work. Explain what has happened. What measures, if any, have been taken to mitigate disruptions or potential disruptions to health workers involvement in routine immunization due to COVID-19 vaccination activities where you work?<br> - Do you have a story about gender barriers to immunization that you would like to share?<br> - Tell us more about what you are doing to reach zero-dose children and missed communities.&nbsp;<br> - Tell us more about how we can better support you. What are the barriers for you to tackle the challenge you face? For your challenge, what kind of support would be most helpful to you? Why? Tell us more about your motivation to join the Movement for Immunization Agenda 2030. What do you hope to gain? What do you want to contribute? How will participating in this Movement help you improve your work?<br> - Do you have something that you want to share with colleagues? What you share does not need to be a &ldquo;big&rdquo; idea. We are interested in what you are doing that helps you to continue or improve your immunization work, even in a small way.</p> <p>## Ethical Considerations<br> Prior to fielding of the survey, the survey instrument and protocol were subjected to ethical and legal review by TGLF.</p> <p>Prior to beginning the survey, prospective respondents reviewed a User Agreement and a summary of TGLF&#39;s Privacy Policy (https://www.learning.foundation/pages/privacy), which provides information about the personal information the Foundation collects; the ways in which the Foundation uses personal information; and TGLF&#39;s procedures for protecting the loss, misuse or alteration of personal information.</p> <p>Participants who chose to respond to the items relevant to work and well-being and organizational culture were promised that their responses would be strictly confidential and that only anonymous, aggregated data would be shared with others.</p> <p>## Recruitment Process and Description of the Sample<br> Members of TGLF&#39;s immunization learning community were invited to participate in the survey by email and were encouraged to invite relevant colleagues (immunization workers who work at either the national or sub-national level) to participate by sharing the invitation.</p> <p>Respondents accessed the survey via the Internet by clicking on the survey link contained in the email.</p> <p>Inclusion criteria for participation in the survey included being an immunization worker who works at the national or sub-national level.</p> <p>Only individuals who indicated their direct supervisor at work agreed with their participation and who completed the consent form were permitted to complete a survey.</p> <p>## Survey Design and Administration<br> This one-time Internet-based survey was administered as part of the launch of the IA2030 Movement.</p> <p>The survey was available from February 22, 2022 - June 17, 2022.</p> <p>Respondents did not receive any incentives for completing the survey.</p> <p>The survey was hosted on the Typeform server. The survey itself and all information collected for the survey was secured with multiple levels of encryption and access controls to guarantee participant confidentiality, per Typeform policy (https://www.typeform.com/help/a/security-at-typeform-360029259552/?tid=200afff9-65b2-46e2-9553-0063f2c808b6).</p> <p>## Data Processing and Cleaning<br> Duplicate surveys were identified using respondents&#39; email addresses and were removed from the data file.</p> <p>When a duplicate survey was submitted, only the most recent survey data were retained.</p> <p>## Data Privacy and Anonymization<br> The data file shared on this site is intentionally incomplete. &nbsp;Columns holding personally identifying information (e.g., email address, gender, country) have been deleted.</p> <p>Out of an abundance of caution, columns that could potentially hold personally identifying information (i.e., responses to open-text questions) have been deleted.</p> <p>In accordance with the privacy policy noted in the questionnaire, responses to questions related to work and well-being and organizational culture have also been redacted.</p> <p>A complete list of the variables that have been redacted from the data file is provided in the data file &quot;Summary&quot; tab.</p> <p>Each respondent&#39;s record holds a unique identifier in the column named AP_DAT_99.</p> <p>## Data Availability and Accessibility<br> This data set is being made available through Zenodo, an open access repository. There are no restrictions on access to open data except those stated in the copyright and license. Researchers who would like to analyze the full set of unredacted responses are invited to contact the Geneva Learning Foundation to inquire about a Data Sharing Agreement that would stipulate conditions of access (insights@learning.foundation).</p> <p>## Copyright and License<br> &copy; The Geneva Learning Foundation 2022.</p> <p>This data set and all associated files are licensed under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)</p> <p>Some rights reserved. This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International; https://creativecommons.org/licenses/by-nc-sa/4.0/.</p> <p>Under the terms of this license, you may copy, redistribute and adapt the data set for non-commercial purposes, provided the work is appropriately cited, as indicated above. In any use of this data set, there should be no suggestion that the Foundation endorses any specific organization, products, or services. Any mediation relating to disputes arising under the license shall be conducted in accordance with the mediation rules of the World Intellectual Property Organization.</p> <p>General disclaimers. The designations employed and the presentation of the data set do not imply the expression of any opinion whatsoever on the part of the Foundation concerning the legal status of any country, territory, city or area or of its authorities. The mention of specific companies or of certain manufacturers&#39; products does not imply that they are endorsed or recommended by the Foundation in preference to others of a similar nature that are not mentioned. Errors and omissions excepted, the names of all reasonable precautions have been taken by the Foundation to verify the information contained in this data set. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for interpretation and use of the material lies with the reader. In no event shall the Foundation be liable for damages arising from its use.</p> <p>The data set contains individual views and does not necessarily represent the decisions or the policies of the Foundation.</p> <p>Version 1.0 (11 August 2023).</p> <p>## References<br> Asiwome Kosi Abiwu, P.H., and Jones, I. (2022). IA2030 Case study 5. Paul Hilarius Asiwome Kosi Abiwu. View from the frontline: building stronger systems (The Geneva Learning Foundation) 10.5281/ZENODO.7004284.</p> <p>Ateke, N.A., and Jones, I. (2022). IA2030 Case study 4. Njoh Andreas Ateke. View from the frontline: working with communities to strengthen immunization programmes (The Geneva Learning Foundation) 10.5281/ZENODO.7004263.</p> <p>Ekwam, D.K., and Jones, I. (2022). IA2030 Case study 13. Pharm. Daniel Kwesi Ekwam. Covering all the bases (The Geneva Learning Foundation) 10.5281/ZENODO.7010227.</p> <p>Faye, W., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Case study 18. Wasnam Faye. Vaccine angels - Give us the opportunity and we can perform miracles. (The Geneva Learning Foundation) 10.5281/ZENODO.7785244.</p> <p>Faye, W., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 &Eacute;tude de cas 18. Wasnam Faye. Les anges de la vaccination : &laquo; Donnez-nous l&#39;occasion et nous ferons des miracles. &raquo; (The Geneva Learning Foundation) 10.5281/ZENODO.7849329.</p> <p>Ferrah Conteh, Z., and Jones, I. (2022). IA2030 Case study 6. Zainab Ferrah Conteh. View from the frontline: Strenghtening the immunization programme backbone (The Geneva Learning Foundation) 10.5281/ZENODO.7010079.</p> <p>Iwot, N., and Jones, I. (2022). IA2030 Case study 14. Ndaeyo Iwot. Building the capacities of communities (The Geneva Learning Foundation) 10.5281/ZENODO.7010211.</p> <p>Jones, I., Mbuh, C., and Sadki, R. (2023). Listening and Learning at Teach to Reach 7 (IA2030 Listening and Learning Report 4) (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7766585.</p> <p>Jones, I., Mbuh, C., and Sadki, R. (2023). Teach to Reach 7: Partager pour apprendre (Rapport IA2030 &laquo;&Eacute;couter pour apprendre n&deg; 4) (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7851783.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 1. A digital health platform for immunization and primary health care (PHC) engagement (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.6982953.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 1. A digital health platform for immunization and primary health care (PHC) engagement (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.6982953.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case Study 10. Development of zero dose situational analyses and action plans (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010177.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 2. Squaring the circle: safeguarding existing immunization programmes and primary healthcare during COVID-19 vaccination (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004191.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case Study 8. Practitioners&#39; perceptions of key immunization challenges (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7005241.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Listening and learning report 1. Working groups consultative engagement through a peer learning platform (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010140.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Movement Year 1 report. Consultative engagement through a digitally enabled peer learning platform (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7119648.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030. Listening and learning report 3. Everyone, everywhere: digital peer learning to leave no one behind (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010209.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). Mouvement pour la vaccination &agrave; l&#39;horizon 2030. Rapport &Eacute;couter pour apprendre n&deg; 3. Partout, pour tous: l&#39;apprentissage num&eacute;rique par les pairs pour que personne ne reste sur le c&ocirc;t&eacute; (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7142102.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., Kovanovic, V., et al. (2022). IA2030 Rapport &laquo;&Eacute;couter pour apprendre&raquo; n&deg; 2. Notre engagement pour la vaccination #VaccinesWork (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7254160.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., Kovanovic, V., et al. (2022). IA2030.Listening and learning report 2. It takes people to make #VaccinesWork (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010196.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Yagnik, A., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., et al. (2022). IA2030 Case Study 9. Understanding and responding to zero-dose challenges (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010171.</p> <p>Jones, I., Watkins, K.E., Sadki, R., Brooks, A., Gasse, F., Yagnik, A., Mbuh, C., Zha, M., Steed, I., Sequeira, J., et al. (2022). IA2030 Case Study 7. Motivation, learning culture and programme performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004304.</p> <p>Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V.(2022). IA2030 Year 1 report. Consultative engagement through a digitally enabled peer learning platform (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7119648.</p> <p>Jones, I., Watkins, K.E., Sadki, R., Brooks, A., Gasse, F., Yagnik, A., Mbuh, C., Zha, M., Steed, I., Sequeira, J., et al. (2022). IA2030 Case Study 7. Motivation, learning culture and programme performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004304.</p> <p>Kabor&eacute;, B., and Jones, I. (2022). IA2030 Case study 12. Boureima Kabor&eacute;. Delivering services in conflict-affected areas (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010188.</p> <p>Kuotong Nongho, R., and Jones, I. (2022). IA2030 Case study 3. Kuotong Nongho Rogers. View from the frontline: microplanning for equity (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7004235.</p> <p>Mbuh, C., Gasse, F., Jones, I., Sadki, R., Brooks, A., Zha, M., Steed, I., Sequeira, J., Churchill, S., and Kovanovic, V. (2022). IA2030 Case study 16. Continuum from knowledge to performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7014392.</p> <p>Monga, F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Case study 19. Franck Monga. Building a movement for IA2030 in the Democratic Republic of Congo (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7794726.</p> <p>Monga, F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 &Eacute;tude de cas 19. Franck Monga. Construire un Mouvement pour la vaccination en R&eacute;publique D&eacute;mocratique du Congo (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7851476.</p> <p>Monz&oacute;n, M.F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 Case study 17. Mar&iacute;a Fernanda Monz&oacute;n. Speaking up for frontline staff (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7785024.</p> <p>Monz&oacute;n, M.F., Jones, I., Mbuh, C., and Sadki, R. (2023). IA2030 &Eacute;tude de cas 17. Mar&iacute;a Fernanda Monz&oacute;n. Prendre la parole au nom des personnels de premi&egrave;re ligne (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7848308.</p> <p>Oketch, P., and Jones, I. (2022). IA2030 Case study 15. Penina Oketch. Planning, people and performance (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010242.</p> <p>Sadki, R., Mbuh, C., Szylovec, A.P., and Brooks, A. (2023). Value creation stories anonymized open data set (Immunization Agenda 2030 Full Learning Cycle, 7 March - 20 June 2022). https://doi.org/10.5281/zenodo.7763922.</p> <p>WHO (2020). Immunization Agenda 2030: A Global Strategy to Leave No One Behind [Internet]. Available from: https://www.who.int/teams/immunization-vaccines-and-biologicals/strategies/ia2030.&nbsp;</p> <p>Yagnik, A., Jones, I., Sadki, R., Brooks, A., Gasse, F., Mbuh, C., Zha, M., Steed, I., Sequeira, J., Churchill, S., et al. (2022). IA2030 Case Study 11. Gender barriers to immunization (The Geneva Learning Foundation) https://doi.org/10.5281/zenodo.7010184.</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

2021 National Composite Index for Family Planning (NCIFP): Data File and Questionnaire

<p>The National Composite Index for Family Planning (NCIFP) was developed after 2012 to support FP2020&rsquo;s efforts to improve the enabling policy and program environment for family planning, by examining the levels and types of effort for a range of family planning policy and programmatic indicators, including indicators to measure rights-based programming.&nbsp;This data file&nbsp;includes the final, cleaned data for the 2021 round of the NCIFP, as well as a codebook identifying the variable names with their corresponding questions. The PDF file is the full questionnaire for the 2021 round of the NCIFP, in English.</p> <p>A paper by Karen Hardee, Rebecca Rosenberg, John Ross, and Imelda Zosa-Feranil using these data is&nbsp;under consideration for publication in Gates Open Research.</p>

opencc-by-4.0Aug 2023View details →
dryad36/100

Buffalo close association matrices: Kruger National Park, South Africa

<div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Many infectious pathogens are shared through social interactions, and examining host connectivity has offered valuable insights for understanding patterns of pathogen transmission across wildlife species. African buffalo are social ungulates and i</span><span class="NormalTextRun SCXW115066823 BCX0">mportant reservoirs of </span><span class="ContextualSpellingAndGrammarError SCXW115066823 BCX0">directly-transmitted</span><span class="NormalTextRun SCXW115066823 BCX0"> pathogens that impact numerous wildlife and livestock species. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Here, we analyzed African buffalo social networks to quantify variation in close contacts, examined drivers of contact heterogeneity, and investigat</span><span class="NormalTextRun SCXW115066823 BCX0">ed how the observed contact patterns affect pathogen invasion likelihoods for a wild social ungulate. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">We collected continuous association data using proximity collars and sampled host traits approximately every two months during a 15-month study period in</span><span class="NormalTextRun SCXW115066823 BCX0"> Kruger National Park, South Africa. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Although the observed herd was well connected, with most individuals contacting each other during each bimonthly interval, our analyses revealed striking heterogeneity in close-contact associations among herd members. </span><span class="NormalTextRun SCXW115066823 BCX0">Network analysis showed that individual connectivity was stable over time and that individual age, sex, reproductive status, and pairwise genetic relatedness were important predictors of buffalo connectivity. Calves were the most connected members of the h</span><span class="NormalTextRun SCXW115066823 BCX0">erd, and adult males were the least connected. These findings highlight the role susceptible calves may play in the transmission of pathogens within the herd. We also demonstrate that, at time scales relevant to infectious pathogens found in nature, the ob</span><span class="NormalTextRun SCXW115066823 BCX0">served level of connectivity affects pathogen invasion likelihoods for a wide range of infectious periods and </span><span class="SpellingError SCXW115066823 BCX0">transmissibilities</span><span class="NormalTextRun SCXW115066823 BCX0">. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div> <div class="ListContainerWrapper SCXW115066823 BCX0"> <ol class="NumberListStyle1 SCXW115066823 BCX0"> <li class="OutlineElement Ltr SCXW115066823 BCX0"> <p class="Paragraph SCXW115066823 BCX0"><span class="TextRun SCXW115066823 BCX0"><span class="NormalTextRun SCXW115066823 BCX0">Ultimately, our study identifies key predictors of social connectivity in a social ungulate and illustrates how contact heter</span><span class="NormalTextRun SCXW115066823 BCX0">ogeneity, even within a highly connected herd, can shape pathogen invasion likelihoods. </span></span><span class="EOP SCXW115066823 BCX0"> </span></p> </li> </ol> </div>

opencc-zeroAug 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record