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When examining 141 countries globally, we found no evidence of a positive ecological association between migration intensity and HIV prevalence.
There has however only been one published study that has evaluated the relationship between migration intensity and HIV prevalence at a population level [ 24].
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No evidence of a positive ecological association between national migration intensity and HIV prevalence was found.
Linear regression was used to analyze the association between the various measures of migration intensity and peak national HIV prevalence for 141 countries and HIV prevalence by province and ethnic group in South Africa.
This is followed by the results on the migration intensity and its determinants.
To circumvent these problems of comparability Bell proposes using certain conventional measures of migration intensity and Courgeau's k index- a statistic which adjusts migration intensity for differences in statistical geography as described below [ 32].
In the second step, the Index of Migration Intensity is constructed and its determinants are analyzed.
We also explored in which extent this effect could be influenced by other factors, especially those directly related to the metapopulation structure, such as the mean degree of connectivity of the network or the migration intensity between patches.
Firstly, it evaluates the ecological association between levels of internal and international migration and national peak HIV prevalence using thirteen variables from a variety of sources to capture various aspects of internal and international migration intensity.
Migration intensity also seems to be dependent on wind direction differing between seasons, as a clear increase in migration activity could be observed in conditions with tailwinds.
Index of Migration Intensity.
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