Routine data for malaria morbidity estimation in Africa: challenges and prospects
<p><strong>Background</strong></p> <p>The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response glob...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2020
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| _version_ | 1826258805044805632 |
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| author | Alegana, VA Okiro, EA |
| author_facet | Alegana, VA Okiro, EA |
| author_sort | Alegana, VA |
| collection | OXFORD |
| description | <p><strong>Background</strong></p>
<p>The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally.</p>
<p>In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented.</p>
<p><strong>Conclusion</strong></p>
<p>Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens.</p> |
| first_indexed | 2024-03-06T18:39:48Z |
| format | Journal article |
| id | oxford-uuid:0c7d910a-6056-4c3d-b4d9-539f9b8ffbdd |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:39:48Z |
| publishDate | 2020 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | oxford-uuid:0c7d910a-6056-4c3d-b4d9-539f9b8ffbdd2022-03-26T09:35:14ZRoutine data for malaria morbidity estimation in Africa: challenges and prospectsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:0c7d910a-6056-4c3d-b4d9-539f9b8ffbddEnglishSymplectic ElementsBioMed Central2020Alegana, VAOkiro, EA<p><strong>Background</strong></p> <p>The burden of malaria in sub-Saharan Africa remains challenging to measure relying on epidemiological modelling to evaluate the impact of investments and providing an in-depth analysis of progress and trends in malaria response globally.</p> <p>In malaria-endemic countries of Africa, there is increasing use of routine surveillance data to define national strategic targets, estimate malaria case burdens and measure control progress to identify financing priorities. Existing research focuses mainly on the strengths of these data with less emphasis on existing challenges and opportunities presented.</p> <p><strong>Conclusion</strong></p> <p>Here we define the current imperfections common to routine malaria morbidity data at national levels and offer prospects into their future use to reflect changing disease burdens.</p> |
| spellingShingle | Alegana, VA Okiro, EA Routine data for malaria morbidity estimation in Africa: challenges and prospects |
| title | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
| title_full | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
| title_fullStr | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
| title_full_unstemmed | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
| title_short | Routine data for malaria morbidity estimation in Africa: challenges and prospects |
| title_sort | routine data for malaria morbidity estimation in africa challenges and prospects |
| work_keys_str_mv | AT aleganava routinedataformalariamorbidityestimationinafricachallengesandprospects AT okiroea routinedataformalariamorbidityestimationinafricachallengesandprospects |