A case study of fish farming impacts on malaria prevalence in - lumes
A case study of fish farming impacts on malaria prevalence in - lumes
A case study of fish farming impacts on malaria prevalence in - lumes
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was attributed to poor plann<strong>in</strong>g by the government. Many districts have been created<br />
without proper plann<strong>in</strong>g for example when a county becomes a district; it is supposed<br />
to operate us<strong>in</strong>g the exist<strong>in</strong>g <strong>in</strong>frastructure and facilities – yet it has to serve an<br />
extended populati<strong>on</strong>. The health pers<strong>on</strong>nel’s highlighted that some establishments such<br />
as rapid diagnostic tests (RDTs) for <strong>malaria</strong> which were useful <strong>in</strong> rural areas failed <strong>in</strong><br />
2009 due to poor policy implementati<strong>on</strong> and lack <str<strong>on</strong>g>of</str<strong>on</strong>g> m<strong>on</strong>itor<strong>in</strong>g and evaluati<strong>on</strong><br />
framework.<br />
Chang<strong>in</strong>g weather c<strong>on</strong>diti<strong>on</strong>s such as <strong>in</strong>crease <strong>in</strong> temperatures and un-predicted heavy<br />
ra<strong>in</strong>fall was another factor highlighted by the resp<strong>on</strong>dents. They emphasised that<br />
temperature <strong>in</strong>crements are evident and ra<strong>in</strong>fall are erratic and heavy <strong>in</strong> Kabale. They<br />
stressed that <strong>malaria</strong> <strong>in</strong>cidences are rampant <strong>in</strong> the ra<strong>in</strong>y m<strong>on</strong>ths <str<strong>on</strong>g>of</str<strong>on</strong>g> March and April<br />
and October and November. Ra<strong>in</strong>fall and temperature are vital <strong>in</strong> mosquito lifecycles<br />
development and hence <strong>in</strong>creased mosquito vector proliferati<strong>on</strong> - c<strong>on</strong>sequently lead<strong>in</strong>g<br />
to <strong>in</strong>creased <strong>malaria</strong> <strong>prevalence</strong> <strong>in</strong> the <str<strong>on</strong>g>study</str<strong>on</strong>g> area.<br />
4.2 Fish <str<strong>on</strong>g>farm<strong>in</strong>g</str<strong>on</strong>g> and <strong>malaria</strong><br />
4.2.1 Malaria <strong>in</strong>cidence per a m<strong>on</strong>th<br />
The resp<strong>on</strong>ses revealed that <strong>malaria</strong> is a comm<strong>on</strong> problem affect<strong>in</strong>g many households<br />
<strong>in</strong> Kabale. The resp<strong>on</strong>ses show that dur<strong>in</strong>g each m<strong>on</strong>th <strong>malaria</strong> is experienced <strong>in</strong> at least<br />
55% <str<strong>on</strong>g>of</str<strong>on</strong>g> the resp<strong>on</strong>dent households (Table 2). In the affected households, it can be<br />
depicted that <strong>malaria</strong> can be experienced either <strong>on</strong>ce or twice <strong>in</strong> a m<strong>on</strong>th (i.e. the<br />
number <str<strong>on</strong>g>of</str<strong>on</strong>g> times <strong>malaria</strong> can affect either <strong>on</strong>e or more household member(s) <strong>in</strong> a<br />
m<strong>on</strong>th). It is <strong>on</strong>ly two resp<strong>on</strong>dents who <strong>in</strong>dicated that their households can be affected<br />
by <strong>malaria</strong> more than two times <strong>in</strong> a m<strong>on</strong>th.<br />
It can also be depicted that there are many households where <strong>malaria</strong> was rarely<br />
experienced. In these households a m<strong>on</strong>th or more can elapse without any member <str<strong>on</strong>g>of</str<strong>on</strong>g><br />
their households be<strong>in</strong>g affected by <strong>malaria</strong>.<br />
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