Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa.
<p>Map created by authors using shapefiles from GADM (Database of Global Administrative Areas, version 4.1, <a href="https://www.gadm.org" target="_blank">www.gadm.org</a>).</p>
Պահպանված է:
| Հիմնական հեղինակ: | |
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| Այլ հեղինակներ: | , , , , , , , , |
| Հրապարակվել է: |
2025
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| Խորագրեր: | |
| Ցուցիչներ: |
Ավելացրեք ցուցիչ
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| _version_ | 1849927629037109248 |
|---|---|
| author | Bwambale Jonani (21156747) |
| author2 | Emmanuel Charles Kasule (21156750) Bwire Roman Herman (21168941) Joel Fredrick Arturo (21156756) Mwesigwa Calvin Mugambwa (22683322) Ssebulime Stephen (21156771) John Bosco Mundaka (20309196) Richard Kwizera (606632) Gerald Mboowa (770601) Felix Bongomin (5081681) |
| author2_role | author author author author author author author author author |
| author_facet | Bwambale Jonani (21156747) Emmanuel Charles Kasule (21156750) Bwire Roman Herman (21168941) Joel Fredrick Arturo (21156756) Mwesigwa Calvin Mugambwa (22683322) Ssebulime Stephen (21156771) John Bosco Mundaka (20309196) Richard Kwizera (606632) Gerald Mboowa (770601) Felix Bongomin (5081681) |
| author_role | author |
| dc.creator.none.fl_str_mv | Bwambale Jonani (21156747) Emmanuel Charles Kasule (21156750) Bwire Roman Herman (21168941) Joel Fredrick Arturo (21156756) Mwesigwa Calvin Mugambwa (22683322) Ssebulime Stephen (21156771) John Bosco Mundaka (20309196) Richard Kwizera (606632) Gerald Mboowa (770601) Felix Bongomin (5081681) |
| dc.date.none.fl_str_mv | 2025-11-25T18:26:58Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0337090.g004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Regional_variation_in_the_prevalence_of_sickle_cell_anemia_HBSS_across_Africa_/30713605 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Science Policy Infectious Diseases Biological Sciences not elsewhere classified three decades despite systematically searched pubmed sickle cell anemia electrophoretic techniques predominated 21 %– 8 1994 &# 8211 improved diagnostic accessibility southern africa showed sensitivity analysis showed central africa showed 74 %; p significant genetic disorder including geographic region 08 %– 1 analysis </ p 2 </ sup males 2 diagnostic method xlink "> temporal variations systematic review subgroup analyses study variability study design specific interventions significantly moderated research output remained stable quality assurance quality assessments prediction interval marginally significant logit transformation google scholar fold increase findings highlight examine regional continued surveillance comprehensive data children exhibited cases ). care technologies base databases african populations 91 %. 88 %), 839 participants 694 ). 65 %) 6 %). |
| dc.title.none.fl_str_mv | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Map created by authors using shapefiles from GADM (Database of Global Administrative Areas, version 4.1, <a href="https://www.gadm.org" target="_blank">www.gadm.org</a>).</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_398f6ed0f16c8e08f95c01caacb061c8 |
| identifier_str_mv | 10.1371/journal.pone.0337090.g004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30713605 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa.Bwambale Jonani (21156747)Emmanuel Charles Kasule (21156750)Bwire Roman Herman (21168941)Joel Fredrick Arturo (21156756)Mwesigwa Calvin Mugambwa (22683322)Ssebulime Stephen (21156771)John Bosco Mundaka (20309196)Richard Kwizera (606632)Gerald Mboowa (770601)Felix Bongomin (5081681)BiotechnologyScience PolicyInfectious DiseasesBiological Sciences not elsewhere classifiedthree decades despitesystematically searched pubmedsickle cell anemiaelectrophoretic techniques predominated21 %– 81994 &# 8211improved diagnostic accessibilitysouthern africa showedsensitivity analysis showedcentral africa showed74 %; psignificant genetic disorderincluding geographic region08 %– 1analysis </ p2 </ supmales 2diagnostic methodxlink ">temporal variationssystematic reviewsubgroup analysesstudy variabilitystudy designspecific interventionssignificantly moderatedresearch outputremained stablequality assurancequality assessmentsprediction intervalmarginally significantlogit transformationgoogle scholarfold increasefindings highlightexamine regionalcontinued surveillancecomprehensive datachildren exhibitedcases ).care technologiesbase databasesafrican populations91 %.88 %),839 participants694 ).65 %)6 %).<p>Map created by authors using shapefiles from GADM (Database of Global Administrative Areas, version 4.1, <a href="https://www.gadm.org" target="_blank">www.gadm.org</a>).</p>2025-11-25T18:26:58ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0337090.g004https://figshare.com/articles/figure/Regional_variation_in_the_prevalence_of_sickle_cell_anemia_HBSS_across_Africa_/30713605CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307136052025-11-25T18:26:58Z |
| spellingShingle | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. Bwambale Jonani (21156747) Biotechnology Science Policy Infectious Diseases Biological Sciences not elsewhere classified three decades despite systematically searched pubmed sickle cell anemia electrophoretic techniques predominated 21 %– 8 1994 &# 8211 improved diagnostic accessibility southern africa showed sensitivity analysis showed central africa showed 74 %; p significant genetic disorder including geographic region 08 %– 1 analysis </ p 2 </ sup males 2 diagnostic method xlink "> temporal variations systematic review subgroup analyses study variability study design specific interventions significantly moderated research output remained stable quality assurance quality assessments prediction interval marginally significant logit transformation google scholar fold increase findings highlight examine regional continued surveillance comprehensive data children exhibited cases ). care technologies base databases african populations 91 %. 88 %), 839 participants 694 ). 65 %) 6 %). |
| status_str | publishedVersion |
| title | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. |
| title_full | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. |
| title_fullStr | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. |
| title_full_unstemmed | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. |
| title_short | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. |
| title_sort | Regional variation in the prevalence of sickle cell anemia (HBSS) across Africa. |
| topic | Biotechnology Science Policy Infectious Diseases Biological Sciences not elsewhere classified three decades despite systematically searched pubmed sickle cell anemia electrophoretic techniques predominated 21 %– 8 1994 &# 8211 improved diagnostic accessibility southern africa showed sensitivity analysis showed central africa showed 74 %; p significant genetic disorder including geographic region 08 %– 1 analysis </ p 2 </ sup males 2 diagnostic method xlink "> temporal variations systematic review subgroup analyses study variability study design specific interventions significantly moderated research output remained stable quality assurance quality assessments prediction interval marginally significant logit transformation google scholar fold increase findings highlight examine regional continued surveillance comprehensive data children exhibited cases ). care technologies base databases african populations 91 %. 88 %), 839 participants 694 ). 65 %) 6 %). |