Madagascar HEALTH & CLIMATE CHANGE COUNTRY PROFILE 2021 Small Island Developing States Initiative cONTENTs 1 EXEcUTIVE sUMMarY 2 KEY rEcOMMENdaTIONs 3 BacKgrOUNd 4 cLIMaTE HaZards rELEVaNT FOr HEaLTH 7 HEaLTH VULNEraBILITY aNd adaPTIVE caPacITY 9 HEaLTH IMPacTs OF cLIMaTE cHaNgE 11 HEaLTH sEcTOr rEsPONsE: MEasUrINg PrOgrEss acknowledgements This document was developed in collaboration with the Ministry of Health, the World Health Organization (WHO), the WHO Regional Office for Africa and the United Nations Framework Convention on Climate Change (UNFCCC). Financial support for this project was provided by the Norwegian Agency for Development Cooperation (NORAD) and the Wellcome Trust. Health and Climate Change Country Profileii EXEcUTIVE sUMMarY Despite producing very little greenhouse gas emissions that cause climate change, people living in small island developing States (SIDS) are on the front line of climate change impacts. These countries face a range of acute to long-term risks, including extreme weather events such as floods, droughts and cyclones, increased average temperatures and rising sea levels. Many of these countries already have a high burden of climate- sensitive diseases that are then exacerbated by climate change. As is often the case, nations at greatest risk are often under-resourced and unprotected in the face of escalating climate and pollution threats. In recent years, the voice of the small island nation leaders has become a force in raising the alarm for urgent global action to safeguard populations everywhere, particularly those whose very existence is under threat. Recognizing the unique and immediate threats faced by small islands, WHO has responded by introducing the WHO Special Initiative on Climate Change and Health in Small Island Developing States (SIDS). The initiative was launched in November 2017 in collaboration with the United Nations Framework Convention on Climate Change (UNFCCC) and the Fijian Presidency of the COP23 in Bonn, Germany, with the vision that by 2030 all health systems in SIDS will be resilient to climate variability and climate change. It is clear though that building resilience must happen in parallel with the reduction of carbon emissions by countries around the world in order to protect the most vulnerable from climate risks and to gain the health co-benefits of mitigation policies. The WHO Special Initiative on Climate Change and Health in SIDS aims to provide national health authorities in SIDS with the political, technical and financial support required to better understand and address the effects of climate change on health. A global action plan has been developed by WHO which outlines four pillars of action for achieving the vision of the initiative; empowerment of health leaders to engage nationally and internationally, evidence to build the investment case, implementation to strengthen climate resilience, and resources to facilitate access to climate finance. In March 2018, Ministers of Health gathered in Mauritius to develop an action plan to outline the implementation of the SIDS initiative locally and to identify national and regional indicators of progress. As part of the regional action plan, small island nations have committed to developing a WHO UNFCCC health and climate change country profile to present evidence and monitor progress on health and climate change. This WHO UNFCCC health and climate change country profile for Madagascar provides a summary of available evidence on climate hazards, health vulnerabilities, health impacts and progress to date in the health sector’s efforts to realize a climate-resilient health system. Madagascar 1 KEY rEcOMMENdaTIONs sTrENgTHEN IMPLEMENTaTION OF Madagascar’s NaTIONaL adaPTaTION PLaN FOr THE HEaLTH sEcTOr TO cLIMaTE cHaNgE Madagascar has an adaptation strategic plan for health sector to climate change, which was published in May 2021. Implementation of the health and climate change plan in Madagascar is reported to be low. Assess barriers to implementation of the plan/strategy (e.g. governance, evidence, monitoring and evaluation, finance). Implementation can be supported by exploring additional opportunities to access funds for health and climate change priorities (e.g. GCF readiness proposal). sTrENgTHEN cOLLaBOraTION TO carrY OUT rEsEarcH ON HEaLTH aNd cLIMaTE cHaNgE IN Madagascar Madagascar has a health and climate change working group, made up of key players in the health sector and the meteorological sector. This working group is headed jointly by the Director General of Meteorology and the health sector coordinator. Efforts should be made to strengthen collaborations with this health and climate change working group, to undertake and promote research on health and climate change in Madagascar. UPdaTE Madagascar’s VULNEraBILITY aNd adaPTaTION caPacITY assEssMENT Madagascar published a vulnerability and adaptation capacity assessment in 2015. Efforts should be made to update this assessment. EsTaBLIsH aN EFFEcTIVE EarLY WarNINg sYsTEM FOr HEaLTH aNd cLIMaTE cHaNgE rIsKs aT THE HEaLTH dIsTrIcT LEVEL Climatic and meteorological information and parameters are used in Madagascar to produce and regularly distribute the climatology health bulletin. Effective early warning systems are required at the health district level regarding health and climate change risks. BUILd cLIMaTE-rEsILIENT aNd ENVIrONMENTaLLY sUsTaINaBLE HEaLTH carE FacILITIEs Measures can be taken to prevent the potentially devastating impacts of climate change on health service provision. A commitment towards climate-resilient, environmentally sustainable health systems can improve system stability, promote a healing environment and mitigate climate change impacts. 1 2 3 4 5 WHO rEsOUrcEs TO sUPPOrT acTION ON THEsE KEY rEcOMMENdaTIONs: https://www.who.int/activities/building-capacity-on-climate-change-human-health/toolkit/ Health and Climate Change Country Profile2 BacKgrOUNd Madagascar is a large island nation, located off the eastern coast of Africa in the Indian Ocean. The highland plateau across the centre of Madagascar has created diverse ecosystems across the island (1). Whilst the climate is generally tropical, there are significant regional variations. Most notably, it is largely wet in the north and east, and dry in the south and west (2). Madagascar’s economy is mostly dependent upon agriculture, fishery and livestock production. There are some development challenges in Madagascar, which make it increasingly vulnerable to climate change (1). Furthermore, it is hit by tropical cyclones annually from December to May (2). Climate change is expected to cause rising temperatures, changing precipitation patterns (including flood and drought), sea level rise, and extreme weather events (including tropical cyclones). Indeed, many of these impacts are already being observed in Madagascar (3). For human health, these changes are likely to incur significant burdens, such as food and water insecurity, displacement, and damage to public health systems (1). As a least developed country, Madagascar’s greenhouse gas emissions are very small. Yet in their Nationally Determined Contribution (NDC), they commit to reducing their greenhouse gas emissions by 14% by 2030 compared with its business as usual scenario. Adaptation is a major priority for Madagascar, considering its high vulnerability to climate change. In terms of health adaptation, priority actions in the NDC include evaluating the links between climate change and the migration of vector-borne diseases and evolution of acute respiratory infections, and the implementation of early warning systems for health (3). Madagascar 3 cLIMaTE HaZards rELEVaNT FOr HEaLTH climate hazard projections for Madagascar Country-specific projections are outlined up to the year 2100 for climate hazards under a ‘business as usual’ high emissions scenario compared to projections under a ‘two-degree’ scenario with rapidly decreasing global emissions (see Figures 1–5). The climate model projections below present climate hazards under a high emissions scenario, Representative Concentration Pathway 8.5 (RCP8.5 – in orange) and a low emissions scenario (RCP2.6 – in green).a The text describes the projected changes averaged across about 20 global climate models (thick line). The figuresb also show each model individually as well as the 90% model range (shaded) as a measure of uncertainty and the annual and smoothed observed record (in blue).c In the following text the present- day baseline refers to the 30-year average for 1981–2010 and the end-of-century refers to the 30-year average for 2071–2100. Modelling uncertainties associated with the relatively coarse spatial scale of the models compared with that of small island States are not explicitly represented. There are also issues associated with the availability and representativeness of observed data for such locations. a Model projections are from CMIP5 for RCP8.5 (high emissions) and RCP2.6 (low emissions). Model anomalies are added to the historical mean and smoothed. b Observed historical record of mean temperature is from CRU-TSv3.26 and total precipitation is from GPCC. Observed historical records of extremes are from JRA55 for temperature and from GPCC-FDD for precipitation. c Analysis by the Climatic Research Unit, University of East Anglia, 2018. FIGURE 1: Mean annual temperature, 1900–2100 FIGURE 2: Total annual precipitation, 1900–2100 Under a high emissions scenario, the mean annual temperature is projected to rise by about 3.4°C on average by the end-of-century (i.e. 2071–2100 compared with 1981–2010). If emissions decrease rapidly, the temperature rise is limited to about 1°C. Total annual precipitation is projected to decrease by about 4% on average under a high emissions scenario, although the uncertainty range is large (-20% to +11%). If emissions decrease rapidly, there is little projected change on average: a decrease of 2% with an uncertainty range of -10% to +5%. Rising temperature Little change in total precipitation YearYear Year Year 1900 1950 2000 2050 2100 1900 1950 2000 2050 2100 1900 1950 2000 2050 2100 1900 1950 2000 2050 2100 Pe rc en ta ge o f h ot d ay s ( % ) % to ta l a nn ua l r ain fa ll f ro m ve ry w et d ay s To ta l a nn ua l p pt (m m ) Me an an nu al te m p (° C) 22 24 26 28 0 500 1000 1500 2000 0 20 40 60 80 100 0 10 20 30 40 50 60 NOTEs Health and Climate Change Country Profile4 d A ‘hot day’ (‘hot night’) is a day when maximum (minimum) temperature exceeds the 90th percentile threshold for that time of the year. e The proportion (%) of annual rainfall totals that falls during very wet days, defined as days that are at least as wet as the historically 5% wettest of all days. f SPI is unitless but can be used to categorize different severities of drought (wet): above +2.0 extremely wet; +2.0 to +1.5 severely wet; +1.5 to +1.0 moderately wet; +1.0 to +0.5 slightly wet; +0.5 to -0.5 near normal conditions; -0.5 to -1.0 slight drought; -1.0 to -1.5 moderate drought; -1.5 to -2.0 severe drought; below -2.0 extreme drought. FIGURE 4: Contribution to total annual rainfall from very wet days (‘extreme rainfall’ and ‘flood risk’), 1900–2100 FIGURE 3: Percentage of hot days (‘heat stress’), 1900–2100 The percentage of hot daysd is projected to increase substantially from about 15% of all observed days on average in 1981–2010 (10% in 1961–1990). Under a high emissions scenario, about 80% of days on average are defined as ‘hot’ by the end-of-century. If emissions decrease rapidly, about 40% of days on average are ‘hot’. Note that for the past few years the models tend to over-estimate the observed increase in hot days. Slightly larger increases are seen in hot nightsd (not shown). Under a high emissions scenario, the proportion of total annual rainfall from very wet dayse (about 30% for 1981–2010) could increase by the end- of-century (to about 35% on average with an uncertainty range of about 25% to 50%), with little change if emissions decrease rapidly. These projected changes are accompanied by little or no change in total annual rainfall (see Figure 2). More high temperature extremes Increase in extreme rainfallYearYear Year Year 1900 1950 2000 2050 2100 1900 1950 2000 2050 2100 1900 1950 2000 2050 2100 1900 1950 2000 2050 2100 Pe rc en ta ge o f h ot d ay s ( % ) % to ta l a nn ua l r ain fa ll f ro m ve ry w et d ay s To ta l a nn ua l p pt (m m ) Me an an nu al te m p (° C) 22 24 26 28 0 500 1000 1500 2000 0 20 40 60 80 100 0 10 20 30 40 50 60 YearYear Year Year 190 1950 20 2050 210 190 1950 20 2050 210 190 1950 20 2050 210 190 1950 20 2050 210 Pe rc en ta ge o f h ot d ay s ( % ) % to ta l a nn ua l r ain fa ll f ro m ve ry w et d ay s To ta l a nn ua l p pt (m m ) Me an an nu al te m p (° C) 2 24 26 28 0 50 10 150 20 0 20 40 60 80 10 0 10 20 30 40 50 60 FIGURE 5: Standardized Precipitation Index (‘drought’), 1900–2100 The Standardized Precipitation Index (SPI) is a widely used drought index which expresses rainfall deficits/excesses over timescales ranging from 1 to 36 months (here 12 months, i.e. SPI12).f It shows how at the same time extremely dry and extremely wet conditions, relative to the average local conditions, change in frequency and/or intensity. SPI12 values show little projected change from about zero on average, though year-to-year variability remains large. A few models indicate slightly larger decreases (more frequent/intense dry/drought events) or increases (more frequent/ intense wet events).f −3.0 −1.5 0.0 1.5 3.0 ve ry dr y very wet very dry SPI 1900 1950 2000 2050 2100 index Year ve ry w et ve ry d ry Madagascar 5 sea level rise Sea level rise is one of the most significant threats to low-lying areas on small islands and atolls. Research indicates that rates of global mean sea level rise are almost certainly accelerating as a result of climate change. The relatively long response times to global warming mean that sea level will continue to rise for a considerable time after any reduction in emissions. The continuing rise in sea level means that higher storm surge levels can be expected regardless of any other changes in the characteristics of storm surges. Tropical cyclones It is anticipated that the total number of tropical cyclones may decrease towards the end of the century. However, it is likely that human-induced warming will make cyclones more intense (an increase in wind speed of 2–11% for a mid-range scenario (i.e. RCP4.5 which lies between RCP2.6 and RCP8.5 – shown on pages 4–5) or about 5% for 2°C global warming). Projections suggest that the most intense events (category 4 and 5) will become more frequent (although these projections are particularly sensitive to the spatial resolution of the models). It is also likely that average precipitation rates within 100 km of the storm centre will increase – by a maximum of about 10% per degree of warming. Such increases in rainfall rate would be exacerbated if tropical cyclone translation speeds continue to slow (4–11).a Potential impacts of sea level rise include Coastal erosion Ecosystem disruption Higher storm surges Population displacement Water contamination and disruption Mental health POTENTIAL FUTURE CHANGES IN TROPICAL CYCLONES: A GLOBAL PERSPECTIVE (4–11)a IntensityTotal number Frequency of category 4 and 5 events average precipitation rates near storm centre DecreaseIncrease a Information and understanding about tropical cyclones (including hurricane and typhoons) from observations, theory and climate models have improved in the past few years. It is difficult to make robust projections for specific ocean basins or for changes in storm tracks. Presented here is a synthesis of the expected changes at the global scale. Health and Climate Change Country Profile6 HEaLTH VULNEraBILITY aNd adaPTIVE caPacITY sdg indicators related to health and climate change Many of the public health gains that have been made in recent decades are at risk due to the direct and indirect impacts of climate variability and climate change. Achieving Sustainable Development Goals (SDGs) across sectors can strengthen health resilience to climate change. Proportion of population living below the national poverty line (2012) (12) 1. NO POVErTY National disaster risk reduction strategy in place (2016) (17) YES YES 3. gOOd HEaLTH aNd WELL-BEINg Current health expenditure as percentage of gross domestic product (GDP) (2016) (14) 6 Under-five mortality rate (per 1000 live births) (2017) (15) 44.2 Universal Health Coverage Service Coverage Index (2017)a (13) 28 11% Proportion of total population using at least basic drinking- water services (2017)b (16) Proportion of total population using at least basic sanitation services (2017)b (16) 54% 13. cLIMaTE acTION 6. cLEaN WaTEr aNd saNITaTION a The index is based on ‘medium’ data availability. Values greater than or equal to 80 are presented as ≥80 as the index does not provide fine resolution at high values; 80 should not be considered a target. b Data for safely managed drinking-water and sanitation services are not consistently available for all SIDS at this time, therefore ‘at least basic services’ has been given for comparability. 70.7% Madagascar 7 While there are no specific WHO recommendations on national health workforce densities, the ‘Workload Indicators of Staffing Need’ (WISN) is a human resource management tool that can be used to provide insights into staffing needs and decision-making. Additionally, the National Health Workforce Accounts (NHWA) is a system by which countries can progressively improve the availability, quality and use of health workforce data through monitoring of a set of indicators to support achievement of universal health coverage (UHC), SDGs and other health objectives. The purpose of the NHWA is to facilitate the standardization and interoperability of health workforce information. More details about these two resources can be found at: https://www.who.int/activities/improving-health-workforce-data-and-evidence. Health care facilities Climate change poses a serious threat to the functioning of health care facilities. Extreme weather events increase the demand for emergency health services but can also damage health care facility infrastructure and disrupt service provision. Increased risks of climate-sensitive diseases will also require greater capacity from often already strained health services. In SIDS, health care facilities are often in low-lying areas, subject to flooding and storm surges making them particularly vulnerable. Health workforce Public health and health care professionals require training and capacity building to have the knowledge and tools necessary to build climate-resilient health systems. This includes an understanding of climate risks to individuals, communities and health care facilities, and approaches to protect and promote health given the current and projected impacts of climate change. International Health Regulations (IHR) Monitoring Framework Human Resources Core Capacity (18) 20% Yes “Does your human resource capacity as measured through the IHR adequately consider the human resource requirements to respond to climate-related events?” (19) “Is there a national curriculum developed to train health personnel on the health impacts of climate change?” (19) HUMAN RESOURCE CAPACITY (2018) No HEALTH WORKFORCE (PER 10 000 POPULATION, 2014)(20) N/A Environmental and occupational health and hygiene professionals 1.8 Medical doctors 1.1 Nurses and midwives 0.27 Health centres* (18) 0.47 Hospitals* (18) * Total density per 100 000 population (2013) (22) Health and Climate Change Country Profile8 HEaLTH IMPacTs OF cLIMaTE cHaNgE Infectious and vector-borne diseases Some of the world’s most virulent infections are also highly sensitive to climate: temperature, precipitation and humidity have a strong influence on the life-cycles of the vectors and the infectious agents they carry and influence the transmission of water- and foodborne diseases (21,22). Small island developing States (SIDS) are vulnerable to disease outbreaks. Climate change could affect the seasonality of such outbreaks, as well as the transmission of vector-borne diseases (23–26). Heat stress Climate change is expected to increase the mean annual temperature and the intensity and frequency of heat waves, resulting in a greater number of people at risk of heat-related medical conditions. Heat waves, i.e. prolonged periods of excessive heat, can pose a particular threat to human, animal and even plant health, resulting in loss of life, livelihoods, socioeconomic output, reduced labour productivity, rising demand for and cost of cooling options, as well as contribute to the deterioration of environmental determinants of health (air quality, soil, water supply). Heat stress impacts include: • heat rash/heat cramps • dehydration • heat exhaustion/heat stroke • death. Particularly vulnerable groups are: • the elderly • children • individuals with pre-existing conditions (e.g. diabetes) • the socially isolated. Madagascar 9 Noncommunicable diseases, food and nutrition security Small island developing States (SIDS) face distinct challenges that render them particularly vulnerable to the impacts of climate change on food and nutrition security including: small, and widely dispersed, land masses and population; large rural populations; fragile natural environments and lack of arable land; high vulnerability to climate change, external economic shocks, and natural disasters; high dependence on food imports; dependence on a limited number of economic sectors; and distance from global markets. The majority of SIDS also face a “triple- burden” of malnutrition whereby undernutrition, micronutrient deficiencies and overweight and obesity exist simultaneously within a population alongside increasing rates of diet-related NCDs. Climate change is likely to exacerbate the triple- burden of malnutrition and the metabolic and lifestyle risk factors for diet-related NCDs. It is expected to reduce short- and long-term food and nutrition security both directly, through its effects on agriculture and fisheries, and indirectly, by contributing to underlying risk factors such as water insecurity, dependency on imported foods, urbanization and migration and health service disruption. These impacts represent a significant health risk for SIDS, with their particular susceptibility to climate change impacts and already over-burdened health systems, and this risk is distributed unevenly, with some population groups experiencing greater vulnerability. MOTHER AND CHILD HEALTH Wasting in children under five years of age (2013) (32) 7.9% Iron defi ciency anaemia in women of reproductive age (2016) (31) 36.8% stunting in children under five years of age (2013) (32) 48.9% Overweight in children under five years of age (2013) (32) 1.1% NONCOMMUNICABLE DISEASES IN MADAGASCAR 43.1% Adult population considered undernourished (2015–2017, 3-year average) (28) 58.3 Healthy life expectancy (2016) (27) 4.5% Adult population considered obese (2016) (29) 3.9% Prevalence of diabetes in the adult population (2014) (30) Health and Climate Change Country Profile10 HEaLTH sEcTOr rEsPONsE: MEasUrINg PrOgrEss The following section measures progress in the health sector in responding to climate threats based on country reported data (19). Key indicators are aligned with those identi- fied in the Small Island Developing State Action Plan. Empowerment: Progress in leadership and governance Sectorb Agreement in place Transportation Electricity generation Household energy Agriculture Social services Water, sanitation and wastewater management =yes, =no, O=unknown, N/A=not applicable b Specific roles and responsibilities between the national health authority and the sector indicated are defined in the agreement. Intersectoral collaboration to address climate change Is there an agreement in place between the ministry of health and other sectors in relation to health and climate change policy? National planning for health and climate change Has a national health and climate change strategy or plan been developed?a Title: Plan stratégique d’adaptation du secteur santé au changement climatique Year: 2021 Content and implementation Are health adaptation priorities identified in the strategy/plan? Are the health co-benefits of mitigation action considered in the strategy/plan? Performance indicators are specified Level of implementation of the strategy/plan Low Current health budget covers the cost of implementing the strategy/plan =yes, =no, O=unknown, N/A=not applicable a In this context, a national strategy or plan is a broad term that includes national health and climate strategies as well as the health component of national adaptation plans (H-NAPs). Madagascar 11 Evidence: Building the investment case Vulnerability and adaptation assessments for health Has an assessment of health vulnerability and impacts of climate change been conducted at the national level? TITLE: Rapport de l’Etude d’evaluation de la vulnerabilite et des capacites d’adaptation du secteur sante au changement climatique a Madagascar YEAR: 2015 Have the results of the assessment been used for policy prioritization or the allocation of human and financial resources to address the health risks of climate change? Policy prioritization Human and financial resource allocation Level of influence of assessment results None SomewhatMinimal Strong Implementation: Preparedness for climate risks Integrated risk monitoring and early warning Climate-sensitive diseases and health outcomes Health surveillance system existsa Health surveillance system includes meteorological informationb Climate-informed health early warning system (EWS) in place Thermal stress (e.g. heat waves) Vector-borne diseases Foodborne diseases Waterborne diseases Nutrition (e.g. malnutrition associated with extreme climatic events) Injuries (e.g. physical injuries or drowning in extreme weather events) Mental health and well-being Airborne and respiratory diseases =yes, =no, O=unknown, N/A=not applicable a A positive response indicates that the surveillance system is in place, it will identify changing health risks or impacts AND it will trigger early action. b Meteorological information refers to either short-term weather information, seasonal climate information OR long-term climate information. Health and Climate Change Country Profile12 resources: Facilitating access to climate and health finance International climate finance Are international funds to support climate change and health work currently being accessed? If yes, from which sources? Green Climate Fund (GCF) Global Environment Facility (GEF) Other multilateral donors Bilateral donors Other: ______________________________________________________ Funding challenges Greatest challenges faced in accessing international funds Lack of information on the opportunities Lack of country eligibility Lack of connection by health actors with climate change processes Lack of capacity to prepare country proposals Lack of success in submitted applications None (no challenges/challenges were minimal) Other (please specify): Not applicable Madagascar 13 rEFErENcEs 1. Climate Change Knowledge Portal: Madagascar. The World Bank; 2021 (https://climateknowledgeportal.worldbank.org/country/ madagascar, accessed 25 February 2021). 2. Madagascar Second Communication to the UNFCCC. The Republic of Madagascar (https://unfccc.int/sites/default/files/resource/ Executive%20Summary_SNC%20Madagascar_English.pdf, accessed 25 February 2021). 3. Madagascar’s Intended Nationally Determined Contribution. The Republic of Madagascar; 2015 (https://www4.unfccc.int/ sites/ndcstaging/PublishedDocuments/Madagascar%20First/ Madagascar%20INDC%20Eng.pdf, accessed 18 May 2021). 4. Christensen JH, Krishna Kumar K, Aldrian E, An S-I, Cavalcanti IFA, de Castro M et al. Climate phenomena and their relevance for future regional climate change. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J et al., editors. Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press; 2013. 5. Knutson TR, Sirutis JJ, Zhao M, Tuleya RE, Bender M, Vecchi GA et al. Global projections of intense tropical cyclone activity for the late twenty-first century from dynamical downscaling of CMIP5/RCP4.5 scenarios. J Clim. 2015;28;7203–24. 6. Kossin JP, Emanuel KA, Vecchi GA. The poleward migration of the location of tropical cyclone maximum intensity. Nature. 2014;509:349–52. doi: 10.1038/nature13278. 7. Kossin JP. A global slowdown of tropical-cyclone translation speed. Nature. 2018;558:104–8. doi: 10.1038/s41586-018-0158-3. 8. Sobel AH, Camargo SJ, Hall TM, Lee CY, Tippett MK, Wing AA. Human influence on tropical cyclone intensity. Science. 2016;353:242–6. doi: 10.1126/science.aaf6574. 9. Sugi M, Hiroyuki M, Kohei Y. Projections of future changes in the frequency of intense tropical cyclones. Clim Dyn. 2017;49:619–32. doi: 10.1007/s00382-016-3361-7. 10. Walsh KJE, McBride JL, Klotzbach PJ, Balachandran S, Camargo SJ, Holland G et al. Tropical cyclones and climate change. WIREs Climate Change. 2016;7:65–89 (https://minerva-access.unimelb.edu.au/ bitstream/handle/11343/192963/wires_review_revised%20July%20 31%202015.pdf?sequence=1&isAllowed=y, accessed 18 May 2021). 11. Yoshida K, Sugi M, Mizuta R, Murakami H, Ishii M. Future changes in tropical cyclone activity in high-resolution large-ensemble simulations. Geophysical Res Lett. 2017;44:9910–17. doi. org/10.1002/2017GL075058. 12. Poverty data. Washington (DC): The World Bank; 2019 (https://data. worldbank.org/topic/poverty, accessed 21 March 2019). 13. Global Health Observatory. Universal health coverage portal. Geneva: World Health Organization; 2017 (https://www.who.int/data/ gho/data/major-themes/universal-health-coverage-major, accessed 18 May 2021). 14. Global Health Expenditure Database. Geneva: World Health Organization; 2019 (https://apps.who.int/nha/database, accessed 17 May 2019). 15. UN Inter-agency Group for Child Mortality Estimation. Child mortality estimates. New York: United Nations Children’s Fund; 2018 (https:// childmortality.org/data/Madagascar, accessed 24 May 2021). 16. WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (WASH). Geneva: World Health Organization/ New York: United Nations Children’s Fund; 2019 (https://washdata. org/data, accessed 1 August 2018). 17. Politique nationale de gestion des risques et des catastrophes 2016-2030. Government of Madagascar; 2016. 18. International Health Regulations (2005) Monitoring Framework. State Party Self-Assessment Annual Reporting tool (e-SPAR). Geneva: World Health Organization; 2019 (https://extranet.who.int/e-spar, accessed 9 May 2019). 19. WHO Climate and Health Country Survey as part of the WHO UNFCCC Health and Climate Change Country Profile Initiative. Geneva: World Health Organization; 2018 (https://www.who.int/ globalchange/resources/countries/en/, accessed 18 May 2021). 20. WHO Global Health Workforce Statistics, December 2018 update. Geneva: World Health Organization; 2018 (https://www.who.int/hrh/ statistics/hwfstats/en/, accessed 18 May 2021). 21. Atlas of health and climate. Geneva: World Health Organization and World Meteorological Organization; 2012 (https://www.who.int/ globalchange/publications/atlas/en/, accessed 18 May 2021). 22. Hales S, Kovats S, Lloyd S, Campbell-Lendrum D, editors. Quantitative risk assessment of the effects of climate change on selected causes of death, 2030s and 2050s. Geneva: World Health Organization; 2014 (https://apps.who.int/iris/bitstream/ handle/10665/134014/9789241507691_eng.pdf?sequence=1, accessed 27 May 2019). 23. Quam MB. Imported infections’ importance: global change driving dengue dynamics [dissertation]. Umeå: Umeå University; 2016 (http://umu.diva-portal.org/smash/get/diva2:914952/FULLTEXT01. pdf, accessed 18 May 2021). 24. Liu-Helmersson J. Climate change, dengue and Aedes mosquitoes: past trends and future scenarios [dissertation]. Umeå: Umeå University; 2018 (https://umu.diva-portal.org/smash/get/ diva2:1172083/FULLTEXT03.pdf, accessed 18 May 2021). 25. Liu-Helmersson J, Quam M, Wilder-Smith A, Stenlund H, Ebi K, Massad E et al. Climate change and Aedes vectors: 21st century projections for dengue transmission in Europe. EBioMedicine. 2016;7:267–77. doi: 10.1016/j.ebiom.2016.03.046. 26. Rocklöv J, Quam MB, Sudre B, German M, Kraemer MU, Brady O et al. Assessing seasonal risks for the introduction and mosquito borne spread of Zika virus in Europe. EBioMedicine. 2016;9:250–6. doi: 10.1016/j.ebiom.2016.06.009. 27. Global Health Observatory data repository. Healthy life expectancy (HALE) at birth. Geneva: World Health Organization; 2019 (https:// www.who.int/gho/mortality_burden_disease/life_tables/hale/en/, accessed 9 May 2019). 28. The state of food security and nutrition in the world 2018: building climate resilience for food security and nutrition. Rome; Food and Agriculture Organization of the United Nations; 2018 (http://www. fao.org/3/i9553en/i9553en.pdf, accessed 27 May 2019). 29. Global Health Observatory data repository. Prevalence of obesity among adults, BMI ≥30, crude estimates by country. Geneva: World Health Organization; 2017 (http://apps.who.int/gho/data/node.main. BMI30C?lang=en, accessed 9 May 2019). 30. Global report on diabetes. Geneva: World Health Organization; 2016 (https://apps.who.int/iris/bitstream/ handle/10665/204871/9789241565257_eng.pdf?sequence=1, accessed 27 May 2019). 31. Global Health Observatory. Prevalence of anaemia in women. Geneva: World Health Organization; 2019 (http://apps.who.int/gho/ data/node.main.ANEMIA3?lang=en, accessed 30 May 2019). 32. UNICEF-World Health Organization-The World Bank. Joint child malnutrition estimates – Levels and trends; 2019 (https://www.who. int/nutgrowthdb/estimates/en/, accessed 24 May 2021). WHO/HEP/ECH/CCH/21.01.08 © World Health Organization and the United Nations Framework Convention on Climate Change, 2021 Some rights reserved. This work is available under the CC BY-NC-SA 3.0 IGO licence All reasonable precautions have been taken by WHO to verify the information contained in this publication. However, the published material is being distributed without warranty of any kind, either expressed or implied. The responsibility for the interpretation and use of the material lies with the reader. In no event shall WHO be liable for damages arising from its use. Most estimates and projections provided in this document have been derived using standard categories and methods to enhance their cross-national comparability. As a result, they should not be regarded as the nationally endorsed statistics of Member States which may have been derived using alternative methodologies. Published official national statistics, if presented, are cited and included in the reference list. 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Organisation mondiale de la santé (OMS) · Technical Documents
Health and climate change: country profile 2021: Madagascar
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