Kangalawe 61Deaths due to malaria25020015010050019941995199619971998199920002001Year200220032004200520062007Ilembo HCIfisi DDHInyala HCRungwe DHIkuti HCIgogwe DDHMbuyuni HCChunya DHMwambani DDHVwawa DHMbozi DDHFigure 6. Deaths due to malaria in selected health facilities in Mbeya Region. Source: Compiled from MTUHArecords 1994 to 2007.Percentage Percentage <strong>of</strong> <strong>of</strong> respondents120100806040200100094.75.3100095.24.8Chunya Mbeya Rural Mbozi RungweDistrictYesNoFigure 7. Responses on the link between climate change and malaria in Mbeya region.diarrhoeal and respiratory diseases were linked to climatechange in that they are influenced by seasonalfluctuations <strong>of</strong> weather factors such asincreasing/decreasing amounts <strong>of</strong> rainfall or temperature.Responses from household and key informant interviewsindicated that in Mbeya malaria is most prevalent duringthe rainy season, as reported by about 77% <strong>of</strong>respondents (Table 7), locally attributed to presence <strong>of</strong>mosquito breeding sites in most areas. This period is alsomuch warmer compared to the cold months like June toAugustThe responses by some respondents that malaria hasbecome a common phenomenon during other times <strong>of</strong>the year indicates that generally mosquitoes andassociated malaria have found a suitable habit in an areathat would traditionally be devoid <strong>of</strong> malaria withoutclimate change. Traditionally, malaria transmission hasbeen limited in the <strong>highlands</strong> because <strong>of</strong> their lowtemperatures, which deter mosquitoes and malariaparasites. However, with a rise in global temperaturesthis trend is changing (Githeko et al., 2000; Wandiga etal., 2006). It was noted in some villages, such as Ilemboin Mbeya Rural district that although there were still nomosquitoes in the area because <strong>of</strong> the very cold climate,there were many clinical malaria cases. The explanationgiven was that those who got malaria were bitten bymosquitoes when they travelled outside the village onshort-term basis, and returned back to the village with theparasites. Given their low natural immunity they succumbeasily to malaria. This shows that apart from climatechange mobility could be a compounding stress factor forthe prevalence <strong>of</strong> malaria in some areas (Kangalawe,2009).Diarrhoeal diseases were also reported to be most
62 Afr. J. Environ. Sci. Technol.Table 7. Percentage responses on time <strong>of</strong> the year when malaria is most prevalent in selected districts in the southern<strong>highlands</strong>.Time <strong>of</strong> the year/season Chunya Mbeya Rural Mbozi Rungwe TotalRainy season (November to May) 82.4 61.1 100.0 63.6 76.8Dry season (June to October) 17.6 5.6 0.0 27.4 12.6All times 0.0 33.3 0.0 9.0 10.6Total 100 100 100 100 100.0Percentage <strong>of</strong> respondentsPercentage <strong>of</strong> respondents70.060.050.040.030.020.010.00.063.416.20-100,000 101,000-200,0005.5201,000-300,0007.3 7.6301,000-400,000Household income per month>500,000Figure 8. Average household monthly income (shillings) in selected villages in Mbeya region.prevalent during the rainy season, mainly betweenOctober and May. This is a generally wet period for mostparts <strong>of</strong> southern <strong>highlands</strong> <strong>of</strong> Tanzania. Respiratorydiseases were reported to be most prevalent during thecooler months, especially from June to September.Community’s expressions <strong>of</strong> periods with more diseaseincidences were also supported by hospital records in allthe eleven health facilities visited as part <strong>of</strong> theassessments <strong>of</strong> the impacts <strong>of</strong> climate change on humanhealth in Mbeya region (Kangalawe, 2009).Impacts <strong>of</strong> malaria on household economy and locallivelihoodsMany <strong>of</strong> the respondents who reported to have hadmalaria or patients suffering from malaria indicated thatthey had to pay for treatments at the nearby health facilityor to buy medication from pharmaceutical shops(Kangalawe, 2009). The low incomes (Figure 8) amongmost community members may indicate their limitedcapacity to pay for medical treatment 2 from the healthfacilities available in the area. Such low incomes may aswell indicate inability to meet various costs related to2 There was a considerable variation between households regarding experienceswith costs for malaria treatment. The costs were reported to range between 500and 30,000/= Tanzanian shillings, with a mean value <strong>of</strong> 10,225/=. The upperand lowest extremes are values for patients hospitalized and for outpatientrespectively.climate change adaptations, especially with increasedprevalence <strong>of</strong> highland malaria.There was a majority concern that the amount theyhave to pay for malaria treatment is very high and many<strong>of</strong> them could not afford. This was one <strong>of</strong> the reasonswhy in case <strong>of</strong> a household member getting malaria thehousehold may have to sell livestock or <strong>food</strong> crops to getcash for malaria treatment. Selling <strong>food</strong> crops andlivestock may have negative impacts on the household<strong>food</strong> <strong>security</strong> especially where overselling becomes aproblem. As such some households did not affordmodern medicine, opting for herbal medicines, asexpressed by 17.9% <strong>of</strong> respondents. This may havesome negative consequences on their livelihoods.A Multidisciplinary approach to evaluate the impact<strong>of</strong> climate change and other stress factorsAssessment <strong>of</strong> non-climate stress factors affectinglivelihoodsA stress factor in this case is considered as any factor orcombination <strong>of</strong> factors; be it environmental, socioeconomical,health related or political that has negativeimpacts on the natural resource base and livelihoods <strong>of</strong>the local communities. Table 8 presents examples <strong>of</strong>non-climate stress factors related to agriculturalproduction, natural resource base and local livelihoods in