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water sources, infrastructure, space and the dynamics of ...

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Mat<strong>the</strong>w Biniyam KursahTRITA LWR Master ThesisSpace <strong>and</strong> incidence <strong>of</strong> malariaThis section presents <strong>and</strong> analyses results <strong>of</strong> <strong>the</strong> correlation betweendistances to <strong>the</strong> main town, <strong>water</strong>courses, roads, <strong>the</strong> type <strong>of</strong> l<strong>and</strong> cover<strong>and</strong> elevation on one h<strong>and</strong> <strong>and</strong> environmental diseases on <strong>the</strong> o<strong>the</strong>r.Table 13 shows correlation between malaria <strong>and</strong> distance to <strong>the</strong> maintown (district capital). The rationale behind this was to find out whe<strong>the</strong>rdistances to major town which is <strong>the</strong> hub <strong>of</strong> health, educational, social,economic <strong>and</strong> political activities in <strong>the</strong> district have any relationship with<strong>the</strong> occurrence <strong>of</strong> Malaria incidences. The premises are that; 1) <strong>the</strong> majortown serve as <strong>the</strong> district capital with relatively better <strong>water</strong> managementsystems, 2) majority <strong>of</strong> <strong>the</strong> most educated (defence mechanism) peopleare found in <strong>the</strong> major town, <strong>and</strong> 3) poverty is dominant in <strong>the</strong> ruralareas than <strong>the</strong> major town (hub <strong>of</strong> economic activities). However, Table13 shows that Malaria <strong>and</strong> distance to major towns (including majortowns in neighbouring districts) have an inverse correlation withsignificance <strong>of</strong> 0.001 levels. This can be explained by six main reasons; 1)<strong>the</strong> relatively dense population in Saboba township <strong>and</strong> high number <strong>of</strong>personal-house ownerships (Table 15) created so many dugout pits formosquitoes to breed, 2) <strong>the</strong> dilapidated <strong>and</strong> open gutters found in <strong>the</strong>major town serve as good grounds for mosquito larvae to grow, 3) <strong>the</strong>reare more open containers such as used cans, broken bottles etc inSaboba township than in <strong>the</strong> peripheries due to higher population, 4)relatively low hospital attendance <strong>of</strong> <strong>the</strong> peripheral areas due totransportation difficulties, illiteracy etc, 5) <strong>the</strong> open type public toilets (Fig.15) are only available in <strong>the</strong> major town; <strong>the</strong>se toilets serve as reservoirfor breeding mosquitoes, <strong>and</strong> 6) <strong>the</strong> township has a poorer sanitationthan <strong>the</strong> periphery.Table 14 shows that <strong>the</strong> relationship between Malaria <strong>and</strong> distance toroads also has an inverse relationship with a significance level <strong>of</strong> 0.026.This means that more Malaria cases are reported close to road networks.However, <strong>the</strong> closeness to roads in itself does not directly determine <strong>the</strong>presence <strong>of</strong> stagnant <strong>water</strong> to facilitate breeding <strong>of</strong> mosquito (anopheles)larvae but ra<strong>the</strong>r 1) <strong>the</strong> concentration <strong>of</strong> large population along roadnetworks means more dugout pits as a results <strong>of</strong> <strong>the</strong> need for buildings(Fig. 1), 2) <strong>the</strong> gutters constructed along road networks <strong>and</strong> <strong>the</strong> potholesfound on <strong>the</strong>se third class roads in <strong>the</strong> district may have served asbreeding grounds for mosquito larvae, <strong>and</strong> 3) low hospital attendance <strong>of</strong>those in <strong>the</strong> periphery due to transportational difficulties; account forthis relationship. This shows that Malaria is largely an urban health problemin <strong>the</strong> district.With a significant level <strong>of</strong> 0.108 <strong>and</strong> correlation <strong>of</strong> -0.190, Table 15shows that <strong>the</strong>re is no significant correlation between incidence <strong>of</strong>Malaria <strong>and</strong> distances to conventional <strong>water</strong> <strong>sources</strong> (river <strong>and</strong> streams).Three main reasons explain this surprising result. Firstly, <strong>the</strong> more visible<strong>water</strong> bodies are rivers <strong>and</strong> streams with flowing current – such flows donot facilitate high breeding <strong>of</strong> mosquitoes. Secondly, <strong>the</strong> usuallytemporary, small, stagnant <strong>and</strong> open grey <strong>water</strong> bodies which facilitate<strong>the</strong> growth <strong>of</strong> mosquitoes are not shown in <strong>the</strong> GIS analysis. Thepresence <strong>of</strong> <strong>water</strong> does not necessarily make it breeding grounds formosquitoes, but ra<strong>the</strong>r <strong>the</strong> prevailing condition <strong>of</strong> <strong>the</strong> <strong>water</strong>. The thirdreason that explains this o<strong>the</strong>rwise surprising result is <strong>the</strong> length <strong>of</strong>exposure <strong>of</strong> intermittent rivers <strong>and</strong> streams to <strong>the</strong> breeding <strong>of</strong>mosquitoes. Though, <strong>the</strong>se <strong>water</strong>courses do dry-out <strong>and</strong> “cut” at some<strong>of</strong> its sections, which could facilitate <strong>the</strong> breeding <strong>of</strong> mosquitoes, it ishindered by <strong>the</strong> differences in <strong>the</strong> timing <strong>of</strong> <strong>the</strong> dry-out period (around42

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