The Badolo HealthResilience Scientific Framework for health system resilience roadmaps

The Badolo HealthResilience Scientific Framework for health system resilience roadmaps | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Method Article The Badolo HealthResilience Scientific Framework for health system resilience roadmaps Mathieu Badolo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3894147/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Baground : Health systems resilience to climate change is an essential aspect of overall resilience to climate change in a given context. Significant impacts of climate change on health systems could significantly reduce the capacities and resources of the main socio-economic sectors for resilience and development. particularly, climate change impacts on health systems would increase social inequality and disparities. The development of efficient scientific frameworks for the construction of inclusive configurations of health systems on which climate change has only residual impacts remains a scientific challenge to be considered. Methods : The purpose of this article is to describe the Badolo HealthResilience scientific framework for climate resilience of health systems. It includes methodological tools, bodies of information and solutions and a resilience scheme for efficient resilience roadmaps, based on the concepts of residual vulnerabilities, residual impacts and resilience configurations, trajectories and markers. It integrates contextual specificities, gender, social inclusion and population migration risks. Results : The results of this article include methodological tools, climate change impact vectors, climate vulnerability vectors, climate resilience vectors, gender and social inclusion vectors, population migration risks integration vectors and health systems resilience roadmaps, that are decision-making tools for formulating, planning, managing, monitoring and evaluating health systems resilience to climate change, based on contextual challenges and capacities. Conclusion : The Badolo HealthResilience scientific framework can be a decision-making tool to build more relevant, efficient and effective health systems resilience governance models. The main levers of these governance models are the engagement, mobilization, participation and contribution of populations Health climate change gender social inclusion resilience configurations trajectories roadmaps markers Figures Figure 1 Introduction Health systems resilience to climate change is a critical aspect of overall climate resilience in a given context [ 1 – 5 ]. Significant impacts of climate change on health systems could significantly reduce the capacities and resources of the main socio-economic sectors for resilience and development [ 6 – 16 ]. particularly, climate change impacts on health systems would increase social inequality and disparities [ 17 , 18 ]and amplify difficultie for achieving the sustainable development goals [ 6 ]. The development of efficient scientific frameworks for the construction of inclusive configurations of health systems on which climate change has only residual impacts remains a scientific challenge to be considered [ 6 , 8 , 19 – 25 ]. The purpose of this article is to describe the Badolo HealthResilience scientific framework, an innovative scientific framework for health systems resilience to climate change roadmaps. The singularities, relevance and efficiency of this scientific framework result from its resilience approach, methodological tools, corpuses of information and solutions and scheme. Health systems resilience roadmaps and actions resulting from the HealthResilience framework implement the concepts of climate change residual vulnerabilities, climate change residual impacts, partial or global climate resilience configurations, resilience trajectories and markers. Such resilience roadmaps subdivide the resilience trajectories into segments of resilience trajectories to achieve partial configurations of resilience, according to the contextual specificities and capacities. Resilience markers show, for each segment of the resilience trajectory, the achievements in terms of resilience The methodologies of the Badolo HealthResilience scientific framework are tools for the development of health systems resilience vectors, gender and social inclusion integration vectors and risks of population migration integration vectors. Its resilience scheme is a decision support tool for formulating, planning, managing, monitoring and evaluating health systems resilience to climate change, based on contextual challenges, resilience needs and capacities. The results of this article indicate a results-oriented governance of the resilience of health systems to climate change, based more on the criteria of inclusion, relevance, efficiency, social inclusion and sustainability. Its levers are the engagement, mobilization, participation and contribution of populations and actors in the health systems sector. Methodology Figure 1 shows the Badolo HealhResilience scientific framework methodological tools, information sets and resilience scheme. The Badolo HealthResilience Scientific Framework has a multidimensional approach to resilience. It associates with health systems a vector e = e (e1; e2, e3, e4, e5) whose components are the following dimensions: e1 = offer of health services e2 = demand for health services e4 = quality of health services e4 = financing of health systems e5 = governance of health systems The ClimVir methodological tool is inspired by the ClimProspect methodological tool[ 26 ]. It includes three specific algorithms, ClimImpacts, ClimVulnerabities and Climsolutions. The ClimImpacts algorithm is used to indicate the direct and indirect impacts of climate change on health systems. The vulnerability factors of health systems to climate change are obtained by the ClimVulnerabilities algorithm. The ClimSolutions algorithm is the tool for developing health systems resilience corpuses solutions to climate change. The ClimGender algorithm is the methodological tool to generate subsets of information for the integration of gender and social inclusion in the resilience of health systems. This information is social groups, climate change impacts, vulnerabilities to climate change and resilience solutions for gender mainstreaming The ClimMigration integration algorithm is the methodological tool for generating sub-sets of information for the integration of population migration risks into health system resilience policies. This information is the migration risks linked to the impacts of climate change on health systems, the contextual vulnerabilities to these migration risks and the responses to reduce these vulnerabilities. Results The results that will be described are health system resilience vectors, gender and social inclusion integration vectors, population migration integration vectors dan health systems resilience roadmaps Health systems resilience vectors The vectors for health systems resilience to climate change are the vectors ce, vce and zce. The component cei ( i = 1, …, 5) of the vector ce is the chain of impacts of climate change on the component ei ( i = 1, …, 5) of health systems. If impact chains of length (p) are considered, an impact chain includes (p + 1) impacts eidj (i = 1, …, 5; j = 0, …, p). An impact eido (i = 1, …, 5) is a direct impact of climate change and an impact eidj (i = 1, …, 5; j = 1, ; …, p) is an indirect impact of order (j ). It is the repercussion of the impact eid(j-1). For health systems, the indirect impacts of climate change could be economic, social, environmental, human, infrastructural, institutional or political impacts. The vector ce can be used to determine the subsets of social, economic, environmental, human, institutional and political repercussions of the impacts of climate change on health systems: cesocial, subset of climate change impacts on health systems social repercussions ; ceeconomic, subset of climate change impacts on health systems economic repercussions; ceenvironmental, subset of climate change impacts on health systems environmental repercussions ; ceinfrastructural, subset of climate change impacts on health systems infrastructural repercussions; ceinstitutional, subset of climate change impacts on health systems institutional repercussions; cehuman, subset of climate change impacts on health systems human repercussions ; cepolitical, subset subset of climate change impacts on health systems political repercussions In contexts where effective resilience policies are implemented, the impacts of climate change on health systems are reduced to residual impacts, cei (i = i, …, 5) ≈ Ø. The impacts of climate change on health services components are residual impacts. A component vcei( i = 1, …, 5) of the vector (vce) designates the vulnerability factors of the component ei( i = 1, …, 5) of health systems to climate change. It includes (p + 1) subsets vceidj (i = 1, …, 5; j = 0, …, p) of vulnerability factors. Reducing the vulnerability under the subset vceidj mitigates the impact eidj (i = 1,…, 5; j = 0, …, p). Health systems vulnerability factors to climate change can be economic, social, environmental, human, infrastructural, scientific, technological, institutional or political factors. The vector (vce) can be used to indicate, in a given context, health systems social, economic, environmental, infrastructural, human, institutional, scientific, technological and political vulnerabilities to climate change: vcesocial, subset of health systems social vulnerability factors to climate change; vceeconomic, subset of health systems economic vulnerability factors to climate change; vceenvironmental, subset of health systems environmental vulnerability factors to climate change; vceinfrastructural, subset of health systems infrastructural vulnerability factors to climate change; vce institutional, subset of health systems institutional vulnerability factors to climate change; vce human, subset of health systems human vulnerability factors to climate change; vces scientific, subset of health systems scientific vulnerability factors to climate change; vcetechnological, subset of health systems technological vulnerability factors to climate change; vcepolitical, subset of health systems political vulnerability factors to climate change When effective vulnerability reduction policies are implemented, the vulnerability of health systems to climate change is reduced to a residual vulnerability, vcei (i = i, …, 5) ≈ Ø. The vulnerability of health systems components e1, e2, e3, e4 and e5 to climate change is residual vulnerability. A component zcei( i = 1, …, 5) of the vector zce designates the set of resilience solutions of the component ei ( i = 1, …, 5) of health systems to climate change. It includes (p + 1) subsets zceidj (i = 1, …, 5; j = 0, …, p) of resilience solutions. The implementation of resilience solutions under the subset zceidj reduces vulnerability under the subset veidj (i = 1,…, 5; j = 0, …, p). Solutions for the resilience of health systems to climate change can be economic, social, environmental, human, infrastructural, scientific, technological, institutional or political solutions. The resilience solutions adopted should also be factors of contextual transformation for resilience and sustainability. The vector zce can be used to specify, in a given context, solutions for social, economic, environmental, infrastructural, human, institutional, scientific, technological and political resilience of health systems to climate change: zcesocial, subset of health systems social resilience solutions to climate change; zceeconomic, subset of health systems economic resilience solutions to climate change; zceenvironmental, subset of health systems environmental resilience solutions to climate change; zceinfrastructural, subset of health systems infrastructural resilience solutions to climate change; zce institutional, subset of health systems institutional resilience solutions to climate change; zce human, subset of health systems human resilience solutions to climate change; zces scientific, subset of health systems scientific resilience solutions to climate change; zcetechnological, subset of health systems technological resilience solutions to climate change; zcepolitical, subset of health systems political resilience solutions to climate change When effective resilience policies are implemented, health systems become systems whose vulnerability to climate change is residual and on which climate change has only residual impacts. Health systems resilience solutions to climate change should also be factors of social, economic, environmental, institutional and political contextual transformations in line with the achievement of the sustainable development goals. Gender and social inclusion integration vectors The vectors for gender and social inclusion integration are vectors gsce, gce, vgce and zgce. They are developed using ClimGender method. The component gscei (i = 1, ..., 5) of the vector (gsce) is the social group specifically concerned by the impacts of climate change under the chain of impacts cei (i = 1, ..., 5). The component gcei (i = 1, …, 5) of the vector (gce) is the subset of climate change impacts for the integration of gender and social inclusion in health systems resilience. It is the subset of the specific impacts of climate change for the social group gscei (i = 1, ..., 5). The component vgcei (i = 1, …, 5) of the vector (vgce) is the subset of vulnerability factors to climate change for the integration of gender and social inclusion in health systems resilience. It is the subset of the group gscei (i = 1, ..., 5) specific vulnerability factors to climate change. The component zgcei (i = 1, …, 5) of the vector (zgce) is the set of solutions for the integration of gender and social inclusion in health systems resilience. It is the subset of the group gscei (i = 1, ..., 5) specific resilience solutions to climate change. Population migration integration vectors The vectors for population migration integration are the vectors mce, vmce and the zmce. The component mcei (i = 1, ..., 5) of the vector (mce) is the subset of population migration risks induced by the chain of impacts cei (i = 1, ..., 5 ). The component vmcei (i = 1, …, 5) of the vector (vmce) is the subset of contextual vulnerability factors to migration risks under the subset mcei (= 1, …, 5). The component zmcei (i = 1, …, 5) of the vector (vmce) is the subset of solutions for the integration of migration risks under the subset mcei (= 1, …, 5) in the resilience of systems of health. Health systems resilience roadmap The Badolo HealthResilience scientific framework subdivides the resilience complex trajectory of into several successive resilience trajectory segments of less complexity, on the basis of contextual factors and capacities. A resilience trajectory segment of order (k) creates a partial resilience configuration ēk of health systems at a specified horizon (hk). The main information families associated with a resilience configuration ēk are: ēkce, the family of impacts of climate change on health systems to address ; ēkvce, the family of vulnerability factors of health systems to climate change to address; ēkzce, the family of health systems resilience solutions to climate change to implement; ēkzgce, the family of solutions for gender and social inclusion integration to implement; ēkzmce, the family of resilience solutions for climate migrations integration to implement; Discussion The climate change impact chains cei (i = 1, …, 5) are the relevance fundamental element of the scientific framework that we propose. They concern the main dimensions of health systems and include high-order indirect impacts. They are therefore particularly indicated for integrating contextual factors into health resilience and for an efficient mapping of specific social groups for gender and social inclusion integration. The sets vcei ( i = 1, …, 5) of vulnerability factors underpin the efficiency of the Badolo HealthResilience scientific framework. They indicate the types of efforts and solutions to implement to build health systems resilience configurations. Reducing vulnerabilities under these five vulnerability sets will transform health systems into systems characterized by residual vulnerabilities to climate change and residual climate change impacts. The solutions of the vector zce solutions are required solutions to mitigate the direct and indirect impacts of climate change on health systems. These solutions mitigate climate change impacts by reducing vulnerability to climate change. Their efficient implementation produces configurations of residual vulnerabilities to climate change and residual impacts of climate change. The zce vector determines the performance of the Badolo HealthResilience scientific framework. The vectors for gender, social inclusion and climate migration integration are derived from the chains of impacts of climate change on health systems. This supports their relevance and efficiency. Several studies on health systems resilience to climate change are proposed in the scientific literature [ 6 , 8 , 19 – 25 ]. The results presented in this article take into account these studies but present important singularities. The Badolo HealthResilience scientific framework has a multidimensional approach to health systems the resilience to climate change. It assigns objectives to resilience actions which are configurations of resilience. The results proposed in this article are multiple contributions to advancing the resilience of health systems to climate change. On a theoretical level, the Badolo HealthResilience scientific framework is a multidimensional approach to the resilience of health systems to climate change, which integrates the indirect impacts of climate change, gender and social inclusion, population migration risks into resilience plans. It splits resilience trajectories into segments of resilience trajectories of lower complexity based on climate change impact vectors, vulnerability factors vectors and resilience solutions vectors. It implements the concepts of residual vulnerabilities, residual impacts, resilience horizons and resilience markers. The Badolo HealthResilience scientific framework can be a decision-making tool to build more relevant, efficient and effective health systems resilience governance models. The main levers of these governance models are the engagement, mobilization, participation and contribution of populations. Conclusion The objective of this article was to describe the Badolo HealthResilience scientific framework, an innovative scientific framework for the specification and realization of inclusive resilience configurations of health systems to climate change, integrating the risks of population migration. The singularities, relevance and efficiency of this new scientific framework result from its approach, methodological tools, corpus of information and solutions for resilience and its resilience scheme. The Badolo HealphResilience scientific framework includes multiple contributions to advancing the resilience of health systems to climate change. On a theoretical level, this scientific framework is a multidimensional approach to the resilience of health systems to climate change, which integrates the indirect impacts of climate change, gender and social inclusion and population migration risks. It subdivides resilience trajectories into segments of resilience trajectories of lower complexity, based on climate change impact vectors, vulnerability factors to climate change vectors and resilience solutions to climate change vectors. It implements the concepts of residual vulnerabilities, residual impacts, resilience horizons and resilience markers. The Badolo HealthResilience scientific framework can be a decision-making tool to build more relevant, efficient and effective health systems resilience governance models. The main levers of these governance models are the engagement, mobilization, participation and contribution of populations. Declarations Author Contribution MB . The article is his work ORCID iD Mathieu Badolo: https://orcid.org/0000-0002-0419-3183 Funding This study was not funded Availability of data and materials N/A Ethics approval and consent to participate N/A. Consent for publication N/A Competing interests The author declares no competing interests . 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3894147","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Method Article","associatedPublications":[],"authors":[{"id":269042265,"identity":"81312b6a-79f3-4cf6-ba6c-8e382882cf91","order_by":0,"name":"Mathieu Badolo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/0lEQVRIiWNgGAWjYBAC/gYowwCEHjDYAJmMjQfwaZE4wMDYANeSwJAG0tKAV4uBA6qWw2BR/FrYe48/rqhgiDZnP7zxQULFebu17YeBttTYROPUwnMusfHMGYbcnT1pxQYJZ24nbzuTCNRyLC23AZcWiRzDxsY2htwNB3LMJBLbbiebHQBqYWw4jFuL/Bugln9ALeffgLScSzY7/5CAlggeoJYGoJYbYFsO2JndIGCLxJkcw5kNxyRyd854BvJLcoLZDaAtCXj8wt9+xuBjQ41N7nb+5I0PPlTY2ZudT3/44ANQBJcWmGVwViJYZQJ+5ajAnhTFo2AUjIJRMDIAACnJaMX2JdwwAAAAAElFTkSuQmCC","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Mathieu","middleName":"","lastName":"Badolo","suffix":""}],"badges":[],"createdAt":"2024-01-24 13:14:14","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3894147/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3894147/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":50132326,"identity":"428c6022-a4a9-4ee8-99b8-6bd72dbb4220","added_by":"auto","created_at":"2024-01-25 03:34:14","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":622342,"visible":true,"origin":"","legend":"\u003cp\u003eHealthResilience framework methodological tools, information and solutions sets and resilience roadmaps\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-3894147/v1/1ba9d999699a1f62f32c1b78.jpeg"},{"id":50132474,"identity":"0234d3ba-a48d-41d1-a283-6a53394fc107","added_by":"auto","created_at":"2024-01-25 03:42:14","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":330308,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3894147/v1/2f70fb74-8976-4c40-bac2-83d39cfb7905.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Badolo HealthResilience Scientific Framework for health system resilience roadmaps","fulltext":[{"header":"Introduction","content":"\u003cp\u003eHealth systems resilience to climate change is a critical aspect of overall climate resilience in a given context [\u003cspan additionalcitationids=\"CR2 CR3 CR4\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Significant impacts of climate change on health systems could significantly reduce the capacities and resources of the main socio-economic sectors for resilience and development [\u003cspan additionalcitationids=\"CR7 CR8 CR9 CR10 CR11 CR12 CR13 CR14 CR15\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. particularly, climate change impacts on health systems would increase social inequality and disparities [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]and amplify difficultie for achieving the sustainable development goals [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe development of efficient scientific frameworks for the construction of inclusive configurations of health systems on which climate change has only residual impacts remains a scientific challenge to be considered [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan additionalcitationids=\"CR20 CR21 CR22 CR23 CR24\" citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe purpose of this article is to describe the Badolo HealthResilience scientific framework, an innovative scientific framework for health systems resilience to climate change roadmaps. The singularities, relevance and efficiency of this scientific framework result from its resilience approach, methodological tools, corpuses of information and solutions and scheme. Health systems resilience roadmaps and actions resulting from the HealthResilience framework implement the concepts of climate change residual vulnerabilities, climate change residual impacts, partial or global climate resilience configurations, resilience trajectories and markers. Such resilience roadmaps subdivide the resilience trajectories into segments of resilience trajectories to achieve partial configurations of resilience, according to the contextual specificities and capacities. Resilience markers show, for each segment of the resilience trajectory, the achievements in terms of resilience\u003c/p\u003e \u003cp\u003eThe methodologies of the Badolo HealthResilience scientific framework are tools for the development of health systems resilience vectors, gender and social inclusion integration vectors and risks of population migration integration vectors. Its resilience scheme is a decision support tool for formulating, planning, managing, monitoring and evaluating health systems resilience to climate change, based on contextual challenges, resilience needs and capacities.\u003c/p\u003e \u003cp\u003eThe results of this article indicate a results-oriented governance of the resilience of health systems to climate change, based more on the criteria of inclusion, relevance, efficiency, social inclusion and sustainability. Its levers are the engagement, mobilization, participation and contribution of populations and actors in the health systems sector.\u003c/p\u003e"},{"header":"Methodology","content":"\u003cp\u003eFigure \u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e shows the Badolo HealhResilience scientific framework methodological tools, information sets and resilience scheme.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe Badolo HealthResilience Scientific Framework has a multidimensional approach to resilience. It associates with health systems a vector e\u0026thinsp;=\u0026thinsp;e (e1; e2, e3, e4, e5) whose components are the following dimensions:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003ee1\u0026thinsp;=\u0026thinsp;offer of health services\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ee2\u0026thinsp;=\u0026thinsp;demand for health services\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ee4\u0026thinsp;=\u0026thinsp;quality of health services\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ee4\u0026thinsp;=\u0026thinsp;financing of health systems\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ee5\u0026thinsp;=\u0026thinsp;governance of health systems\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThe ClimVir methodological tool is inspired by the ClimProspect methodological tool[\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. It includes three specific algorithms, ClimImpacts, ClimVulnerabities and Climsolutions.\u003c/p\u003e \u003cp\u003eThe ClimImpacts algorithm is used to indicate the direct and indirect impacts of climate change on health systems. The vulnerability factors of health systems to climate change are obtained by the ClimVulnerabilities algorithm. The ClimSolutions algorithm is the tool for developing health systems resilience corpuses solutions to climate change.\u003c/p\u003e \u003cp\u003eThe ClimGender algorithm is the methodological tool to generate subsets of information for the integration of gender and social inclusion in the resilience of health systems. This information is social groups, climate change impacts, vulnerabilities to climate change and resilience solutions for gender mainstreaming\u003c/p\u003e \u003cp\u003eThe ClimMigration integration algorithm is the methodological tool for generating sub-sets of information for the integration of population migration risks into health system resilience policies. This information is the migration risks linked to the impacts of climate change on health systems, the contextual vulnerabilities to these migration risks and the responses to reduce these vulnerabilities.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eThe results that will be described are health system resilience vectors, gender and social inclusion integration vectors, population migration integration vectors dan health systems resilience roadmaps\u003c/p\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eHealth systems resilience vectors\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe vectors for health systems resilience to climate change are the vectors ce, vce and zce.\u003c/p\u003e \u003cp\u003eThe component cei ( i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector ce is the chain of impacts of climate change on the component ei ( i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of health systems. If impact chains of length (p) are considered, an impact chain includes (p\u0026thinsp;+\u0026thinsp;1) impacts eidj (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5; j\u0026thinsp;=\u0026thinsp;0, \u0026hellip;, p). An impact eido (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) is a direct impact of climate change and an impact eidj (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5; j\u0026thinsp;=\u0026thinsp;1, ; \u0026hellip;, p) is an indirect impact of order (j ). It is the repercussion of the impact eid(j-1).\u003c/p\u003e \u003cp\u003eFor health systems, the indirect impacts of climate change could be economic, social, environmental, human, infrastructural, institutional or political impacts.\u003c/p\u003e \u003cp\u003eThe vector ce can be used to determine the subsets of social, economic, environmental, human, institutional and political repercussions of the impacts of climate change on health systems:\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003ecesocial, subset of climate change impacts on health systems social repercussions ;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eceeconomic, subset of climate change impacts on health systems economic repercussions;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eceenvironmental, subset of climate change impacts on health systems environmental repercussions ;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eceinfrastructural, subset of climate change impacts on health systems infrastructural repercussions;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eceinstitutional, subset of climate change impacts on health systems institutional repercussions;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ecehuman, subset of climate change impacts on health systems human repercussions ;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ecepolitical, subset subset of climate change impacts on health systems political repercussions\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eIn contexts where effective resilience policies are implemented, the impacts of climate change on health systems are reduced to residual impacts, cei (i\u0026thinsp;=\u0026thinsp;i, \u0026hellip;, 5) \u0026asymp; \u0026Oslash;. The impacts of climate change on health services components are residual impacts.\u003c/p\u003e \u003cp\u003eA component vcei( i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector (vce) designates the vulnerability factors of the component\u003c/p\u003e \u003cp\u003eei( i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of health systems to climate change. It includes (p\u0026thinsp;+\u0026thinsp;1) subsets vceidj (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5; j\u0026thinsp;=\u0026thinsp;0, \u0026hellip;, p) of vulnerability factors. Reducing the vulnerability under the subset vceidj mitigates the impact eidj (i\u0026thinsp;=\u0026thinsp;1,\u0026hellip;, 5; j\u0026thinsp;=\u0026thinsp;0, \u0026hellip;, p).\u003c/p\u003e \u003cp\u003eHealth systems vulnerability factors to climate change can be economic, social, environmental, human, infrastructural, scientific, technological, institutional or political factors.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe vector (vce) can be used to indicate, in a given context, health systems social, economic, environmental, infrastructural, human, institutional, scientific, technological and political vulnerabilities to climate change:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003evcesocial, subset of health systems social vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evceeconomic, subset of health systems economic vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evceenvironmental, subset of health systems environmental vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evceinfrastructural, subset of health systems infrastructural vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evce institutional, subset of health systems institutional vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evce human, subset of health systems human vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evces scientific, subset of health systems scientific vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evcetechnological, subset of health systems technological vulnerability factors to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003evcepolitical, subset of health systems political vulnerability factors to climate change\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eWhen effective vulnerability reduction policies are implemented, the vulnerability of health systems to climate change is reduced to a residual vulnerability, vcei (i\u0026thinsp;=\u0026thinsp;i, \u0026hellip;, 5) \u0026asymp; \u0026Oslash;. The vulnerability of health systems components e1, e2, e3, e4 and e5 to climate change is residual vulnerability.\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003eA component zcei( i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector zce designates the set of resilience solutions of the component ei ( i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of health systems to climate change. It includes (p\u0026thinsp;+\u0026thinsp;1) subsets zceidj (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5; j\u0026thinsp;=\u0026thinsp;0, \u0026hellip;, p) of resilience solutions. The implementation of resilience solutions under the subset zceidj reduces vulnerability under the subset veidj (i\u0026thinsp;=\u0026thinsp;1,\u0026hellip;, 5; j\u0026thinsp;=\u0026thinsp;0, \u0026hellip;, p).\u003c/p\u003e \u003cp\u003eSolutions for the resilience of health systems to climate change can be economic, social, environmental, human, infrastructural, scientific, technological, institutional or political solutions. The resilience solutions adopted should also be factors of contextual transformation for resilience and sustainability.\u003c/p\u003e \u003cp\u003eThe vector zce can be used to specify, in a given context, solutions for social, economic, environmental, infrastructural, human, institutional, scientific, technological and political resilience of health systems to climate change:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003ezcesocial, subset of health systems social resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezceeconomic, subset of health systems economic resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezceenvironmental, subset of health systems environmental resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezceinfrastructural, subset of health systems infrastructural resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezce institutional, subset of health systems institutional resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezce human, subset of health systems human resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezces scientific, subset of health systems scientific resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezcetechnological, subset of health systems technological resilience solutions to climate change;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003ezcepolitical, subset of health systems political resilience solutions to climate change\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eWhen effective resilience policies are implemented, health systems become systems whose vulnerability to climate change is residual and on which climate change has only residual impacts. Health systems resilience solutions to climate change should also be factors of social, economic, environmental, institutional and political contextual transformations in line with the achievement of the sustainable development goals.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eGender and social inclusion integration vectors\u003c/h2\u003e \u003cp\u003eThe vectors for gender and social inclusion integration are vectors gsce, gce, vgce and zgce. They are developed using ClimGender method.\u003c/p\u003e \u003cp\u003eThe component gscei (i\u0026thinsp;=\u0026thinsp;1, ..., 5) of the vector (gsce) is the social group specifically concerned by the impacts of climate change under the chain of impacts cei (i\u0026thinsp;=\u0026thinsp;1, ..., 5).\u003c/p\u003e \u003cp\u003eThe component gcei (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector (gce) is the subset of climate change impacts for the integration of gender and social inclusion in health systems resilience. It is the subset of the specific impacts of climate change for the social group gscei (i\u0026thinsp;=\u0026thinsp;1, ..., 5).\u003c/p\u003e \u003cp\u003eThe component vgcei (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector (vgce) is the subset of vulnerability factors to climate change for the integration of gender and social inclusion in health systems resilience. It is the subset of the group gscei (i\u0026thinsp;=\u0026thinsp;1, ..., 5) specific vulnerability factors to climate change.\u003c/p\u003e \u003cp\u003eThe component zgcei (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector (zgce) is the set of solutions for the integration of gender and social inclusion in health systems resilience. It is the subset of the group gscei (i\u0026thinsp;=\u0026thinsp;1, ..., 5) specific resilience solutions to climate change.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003ePopulation migration integration vectors\u003c/h2\u003e \u003cp\u003eThe vectors for population migration integration are the vectors mce, vmce and the zmce.\u003c/p\u003e \u003cp\u003eThe component mcei (i\u0026thinsp;=\u0026thinsp;1, ..., 5) of the vector (mce) is the subset of population migration risks induced by the chain of impacts cei (i\u0026thinsp;=\u0026thinsp;1, ..., 5 ).\u003c/p\u003e \u003cp\u003eThe component vmcei (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector (vmce) is the subset of contextual vulnerability factors to migration risks under the subset mcei (=\u0026thinsp;1, \u0026hellip;, 5).\u003c/p\u003e \u003cp\u003eThe component zmcei (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of the vector (vmce) is the subset of solutions for the integration of migration risks under the subset mcei (=\u0026thinsp;1, \u0026hellip;, 5) in the resilience of systems of health.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eHealth systems resilience roadmap\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"BlockQuote\"\u003e \u003cp\u003eThe Badolo HealthResilience scientific framework subdivides the resilience complex trajectory of into several successive resilience trajectory segments of less complexity, on the basis of contextual factors and capacities.\u003c/p\u003e \u003cp\u003eA resilience trajectory segment of order (k) creates a partial resilience configuration ēk of health systems at a specified horizon (hk). The main information families associated with a resilience configuration ēk are:\u003c/p\u003e \u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eēkce, the family of impacts of climate change on health systems to address ;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eēkvce, the family of vulnerability factors of health systems to climate change to address;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eēkzce, the family of health systems resilience solutions to climate change to implement;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eēkzgce, the family of solutions for gender and social inclusion integration to implement;\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eēkzmce, the family of resilience solutions for climate migrations integration to implement;\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe climate change impact chains cei (i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) are the relevance fundamental element of the scientific framework that we propose. They concern the main dimensions of health systems and include high-order indirect impacts. They are therefore particularly indicated for integrating contextual factors into health resilience and for an efficient mapping of specific social groups for gender and social inclusion integration.\u003c/p\u003e \u003cp\u003eThe sets vcei ( i\u0026thinsp;=\u0026thinsp;1, \u0026hellip;, 5) of vulnerability factors underpin the efficiency of the Badolo HealthResilience scientific framework. They indicate the types of efforts and solutions to implement to build health systems resilience configurations. Reducing vulnerabilities under these five vulnerability sets will transform health systems into systems characterized by residual vulnerabilities to climate change and residual climate change impacts.\u003c/p\u003e \u003cp\u003eThe solutions of the vector zce solutions are required solutions to mitigate the direct and indirect impacts of climate change on health systems. These solutions mitigate climate change impacts by reducing vulnerability to climate change. Their efficient implementation produces configurations of residual vulnerabilities to climate change and residual impacts of climate change. The zce vector determines the performance of the Badolo HealthResilience scientific framework.\u003c/p\u003e \u003cp\u003eThe vectors for gender, social inclusion and climate migration integration are derived from the chains of impacts of climate change on health systems. This supports their relevance and efficiency.\u003c/p\u003e \u003cp\u003eSeveral studies on health systems resilience to climate change are proposed in the scientific literature\u003c/p\u003e \u003cp\u003e[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan additionalcitationids=\"CR20 CR21 CR22 CR23 CR24\" citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. The results presented in this article take into account these studies but present important singularities. The Badolo HealthResilience scientific framework has a multidimensional approach to health systems the resilience to climate change. It assigns objectives to resilience actions which are configurations of resilience.\u003c/p\u003e \u003cp\u003eThe results proposed in this article are multiple contributions to advancing the resilience of health systems to climate change. On a theoretical level, the Badolo HealthResilience scientific framework is a multidimensional approach to the resilience of health systems to climate change, which integrates the indirect impacts of climate change, gender and social inclusion, population migration risks into resilience plans. It splits resilience trajectories into segments of resilience trajectories of lower complexity based on climate change impact vectors, vulnerability factors vectors and resilience solutions vectors. It implements the concepts of residual vulnerabilities, residual impacts, resilience horizons and resilience markers.\u003c/p\u003e \u003cp\u003eThe Badolo HealthResilience scientific framework can be a decision-making tool to build more relevant, efficient and effective health systems resilience governance models. The main levers of these governance models are the engagement, mobilization, participation and contribution of populations.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe objective of this article was to describe the Badolo HealthResilience scientific framework, an innovative scientific framework for the specification and realization of inclusive resilience configurations of health systems to climate change, integrating the risks of population migration. The singularities, relevance and efficiency of this new scientific framework result from its approach, methodological tools, corpus of information and solutions for resilience and its resilience scheme.\u003c/p\u003e \u003cp\u003eThe Badolo HealphResilience scientific framework includes multiple contributions to advancing the resilience of health systems to climate change. On a theoretical level, this scientific framework is a multidimensional approach to the resilience of health systems to climate change, which integrates the indirect impacts of climate change, gender and social inclusion and population migration risks. It subdivides resilience trajectories into segments of resilience trajectories of lower complexity, based on climate change impact vectors, vulnerability factors to climate change vectors and resilience solutions to climate change vectors. It implements the concepts of residual vulnerabilities, residual impacts, resilience horizons and resilience markers.\u003c/p\u003e \u003cp\u003eThe Badolo HealthResilience scientific framework can be a decision-making tool to build more relevant, efficient and effective health systems resilience governance models. The main levers of these governance models are the engagement, mobilization, participation and contribution of populations.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthor Contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMB . The article is his work\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eORCID iD\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMathieu Badolo: \u0026nbsp;https://orcid.org/0000-0002-0419-3183\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was not funded\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eN/A\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eN/A.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eN/A\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author declares no competing interests\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCentre Mathieu BADOLO de recherche, R\u0026eacute;silience et durabilit\u0026eacute;\u003c/p\u003e\n\u003cp\u003eD\u0026eacute;partement -Th\u0026eacute;ories et m\u0026eacute;thodologies de la r\u0026eacute;silience et de la durabilit\u0026eacute;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eHoebena AD, Ilona M, Chersich OMT. 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Climate. 2015; volume 3.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Health, climate change, gender, social inclusion, resilience configurations, trajectories, roadmaps, markers","lastPublishedDoi":"10.21203/rs.3.rs-3894147/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3894147/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e \u003cb\u003eBaground\u003c/b\u003e: Health systems resilience to climate change is an essential aspect of overall resilience to climate change in a given context. Significant impacts of climate change on health systems could significantly reduce the capacities and resources of the main socio-economic sectors for resilience and development. particularly, climate change impacts on health systems would increase social inequality and disparities.\u003c/p\u003e \u003cp\u003eThe development of efficient scientific frameworks for the construction of inclusive configurations of health systems on which climate change has only residual impacts remains a scientific challenge to be considered.\u003c/p\u003e \u003cp\u003e \u003cb\u003eMethods\u003c/b\u003e: The purpose of this article is to describe the Badolo HealthResilience scientific framework for climate resilience of health systems. It includes methodological tools, bodies of information and solutions and a resilience scheme for efficient resilience roadmaps, based on the concepts of residual vulnerabilities, residual impacts and resilience configurations, trajectories and markers. It integrates contextual specificities, gender, social inclusion and population migration risks.\u003c/p\u003e \u003cp\u003e \u003cb\u003eResults\u003c/b\u003e: The results of this article include methodological tools, climate change impact vectors, climate vulnerability vectors, climate resilience vectors, gender and social inclusion vectors, population migration risks integration vectors and health systems resilience roadmaps, that are decision-making tools for formulating, planning, managing, monitoring and evaluating health systems resilience to climate change, based on contextual challenges and capacities.\u003c/p\u003e \u003cp\u003e \u003cb\u003eConclusion\u003c/b\u003e: The Badolo HealthResilience scientific framework can be a decision-making tool to build more relevant, efficient and effective health systems resilience governance models. The main levers of these governance models are the engagement, mobilization, participation and contribution of populations\u003c/p\u003e","manuscriptTitle":"The Badolo HealthResilience Scientific Framework for health system resilience roadmaps","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-25 03:34:09","doi":"10.21203/rs.3.rs-3894147/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a99a681c-f0e2-4e78-9ab8-f2c264948399","owner":[],"postedDate":"January 25th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-01-25T03:34:09+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-25 03:34:09","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3894147","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3894147","identity":"rs-3894147","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}