{"id":306028,"date":"2026-02-28T05:41:15","date_gmt":"2026-02-28T05:41:15","guid":{"rendered":"https:\/\/www.newsbeep.com\/nz\/306028\/"},"modified":"2026-02-28T05:41:15","modified_gmt":"2026-02-28T05:41:15","slug":"how-localization-can-strengthen-malaria-elimination-across-africa","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/nz\/306028\/","title":{"rendered":"how localization can strengthen malaria elimination across Africa"},"content":{"rendered":"<p>For a health facility in northern Togo, effective analysis and use of routine surveillance data can mean the difference between identifying a rise in malaria cases early or only recognizing it once wards are full and children present with severe disease. For malaria programmes across Africa, the ability of health workers to understand and act on data directly shapes who receives timely care.<\/p>\n<p>Yet across malaria programmes in the region, health workers are increasingly expected to analyse trends and guide responses using routine data, often with limited access to advanced, practice-oriented training that reflects their language, context and analytical needs. When learning is not accessible or contextualised, data may be collected but not fully used for decision-making. <\/p>\n<p>To address this, the World Health Organization (WHO) developed the <a href=\"https:\/\/whoacademy.org\/coursewares\/course-v1:WHOA+0040_ML_EN+2024?source=edX\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a href=\"https:\/\/whoacademy.org\/coursewares\/course-v1:WHOA+0040_ML_EN+2024?source=edX\" target=\"_blank\" data-sf-ec-immutable=\"\" rel=\"nofollow noopener\">Malaria: Harnessing the power of routine health facility data<\/a> course, and made it available in English, French, Spanish and Portuguese on the <a href=\"https:\/\/whoacademy.org\/\" data-sf-ec-immutable=\"\" rel=\"nofollow noopener\" target=\"_blank\">WHO Academy online learning platform<\/a> as part of a blended learning programme. Led by Dr Deepa Pindolia, the course was designed from the outset with localization as a core principle, recognizing that data analysis is already complex, and learning it in a second or third language is not effective.<\/p>\n<p>For Dr Atekpe Payakissim Somiabalo, National Malaria Control Programme (NMCP) Coordinator in Togo, providing the training in French was critical. \u201cThe main priority is training operational staff in a language they know so that everyone understands the importance of the data collected for decisionmaking.\u201d According to the NMCP, malaria remains the leading cause of illness in Togo, accounting for 30% of outpatient consultations, 9% of hospitalizations, more than 2.18 million cases and 993 deaths in 2024. \u00a0<\/p>\n<p>When asked if he would recommend the course to colleagues working on malaria elimination, Dr Somiabalo was emphatic. \u201cYes, yes and yes.\u00a0Any effective intervention to combat a given disease is based on a better surveillance system.\u00a0We need to develop contextualized operational action plans to solve the problems\u00a0identified\u00a0and improve coverage and performance indicators.\u201d<\/p>\n<p>In Senegal, Mr M\u00e9doune Ndiop, a specialist in monitoring, evaluation and surveillance within the NMCP (2002-2025) and co-chair of its working group (2018-2024), shares this observation on the importance of localized, contextualized and accessible learning for health-care workers at different levels of the health system. \u201cIt increases participants&#8217; understanding and ensures they have a better grasp of concepts,\u201d he noted. \u201cThe use of the local official language facilitates interactions with participants, especially in analysis and interpretation exercises.\u201d <\/p>\n<p>Thibaud de Chevigny, malaria expert and facilitator of the course, has witnessed this transformation across Africa. After more than a decade supporting malaria programmes in the region, he believes localization is not optional \u2013 it is foundational. \u201cTranslation is absolutely essential, because most subnational programme teams and health information officers in Africa don\u2019t work in English,\u201d he emphasized. \u201cWhen people can learn in their own language, the concepts are clearer, the training feels more inclusive and it also creates more opportunity to cascade the learning.\u201d<\/p>\n<p>For de Chevigny, all training should be fully localized and adapted to the context. \u201cBeyond translation, the real impact comes when the course is localized to reflect each country\u2019s context.\u00a0I\u2019ve\u00a0seen how participants become much more engaged when we use local epidemiological data or case studies.\u00a0Suddenly\u00a0the discussions shift from theory to their daily reality.\u201d<\/p>\n<p>This approach is critical in a region that carries the overwhelming share of the global malaria burden. According to the <a href=\"https:\/\/www.who.int\/teams\/global-malaria-programme\/reports\/world-malaria-report-2025\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a href=\"https:\/\/www.who.int\/teams\/global-malaria-programme\/reports\/world-malaria-report-2025\" target=\"_blank\" data-sf-ec-immutable=\"\" rel=\"nofollow noopener\">World malaria report 2025<\/a>, \u00a094% of malaria cases globally occurred in the WHO African Region in 2024. Of the 610 000 malaria deaths, 95% were in the WHO African Region and three\u2011quarters of those were among children under the age of five. <\/p>\n<p>As de Chevigny highlights, routine surveillance is the backbone of effective malaria control, especially in an era of growing insecticide and drug resistance, climate change and decreased funding, making data-driven decision-making more critical than ever. \u201cMy main hope is that health-care workers come away with the confidence to use surveillance data as a powerful decision-making tool in their daily work. I want them to leave the course knowing that their role at the frontline is central to reducing malaria\u2019s burden, and that they are equipped with both the knowledge and the practical skills to make a tangible difference.\u201d <\/p>\n","protected":false},"excerpt":{"rendered":"For a health facility in northern Togo, effective analysis and use of routine surveillance data can mean the&hellip;\n","protected":false},"author":2,"featured_media":306029,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[134,527,111,139,69],"class_list":{"0":"post-306028","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-healthcare","8":"tag-health","9":"tag-healthcare","10":"tag-new-zealand","11":"tag-newzealand","12":"tag-nz"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/306028","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=306028"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/306028\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/306029"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=306028"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=306028"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=306028"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}