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district\r\nBackground: It was carved out of the Kumasi Metropolitan 
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district\r\nBackground: It was carved out of the Kumasi Metropolitan 
            
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Assembly.  It is a University community with several thousands of 
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Assembly.  It is a University community with several thousands of 
            
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students in residence. It has a very distinctive population structure 
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students in residence. It has a very distinctive population structure 
            
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to the rest of the population (pasted below). This creates a numerator 
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to the rest of the population (pasted below). This creates a numerator 
            
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/ denominator mismatch for the model when it projects the number of 
310
/ denominator mismatch for the model when it projects the number of 
            
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PLHIV from the DHS HIV prevalence from 2014 to 2021 because we do not 
311
PLHIV from the DHS HIV prevalence from 2014 to 2021 because we do not 
            
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handle migration very carefully. The simplest solution would be to 
            
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smooth out the population distribution for this district.  Would that 
313
smooth out the population distribution for this district.  Would that 
            
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be okay? Redistributed the population of Oforikrom proportionally to 
314
be okay? Redistributed the population of Oforikrom proportionally to 
            
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the national population age distribution\r\n",
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