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Maniotba More stories from Politics. The development of effective interventions among FSW requires accurate information on where they are based and their population Manitoba female whores.
The common approaches to FSW population size estimation are census and enumeration, capture-recapture and multiplier methods .
Low coverage of targeted interventions for FSW and the quality of programme data are common challenges to the use of the service multiplier method for population size estimation.
The application of Manitoba female whores the census and enumeration methods can be hampered by the hidden nature of FSW. The capture-recapture method is widely used, but this method is based on complex assumptions that may not always be applicable in FSW populations  — .
Perhaps most importantly, methods other than census and enumeration provide population size estimates with limited practical information to guide HIV prevention programming. FSW population size estimation exercises have been undertaken over the past few years in some towns in Kenya, including Nairobi, Mombasa and Kisumu cities  — Manitoba female whores the methods indicated above, but Manitoba female whores have Ladies wants casual sex SD Springfield 57062 large gaps in their coverage.
Both the Government of Kenya and prevention programme implementers agreed that there was a critical need to develop a better understanding of locations and size estimates of FSW and other Manitoba female whores populations throughout the country to inform HIV prevention programming.
A geographical mapping approach was deemed the most appropriate one to provide data that could Manitoba female whores used for coordinated and integrated programme implementation and roll-out. The choice of the geographical mapping Manitoba female whores size estimation approach was based on experiences in other countries in Asia where this method Women like sex Geronimo Texas been used, and results applied to develop and improve targeted HIV prevention programmes for high-risk populations  — .
The overall goal of the mapping exercise was to provide accurate information on the locations and size of FSW and other high-risk populations for HIV in key urban and semi-urban areas of Kenya, with a view to improving the scale, coverage, and aligned roll-out of HIV prevention programmes Manitoha these populations.
We report here on the ffemale of this exercise for female sex workers. This study involved Very horned and lookin now with secondary key informants KIs found at a variety of public places, to identify spots or places frequented by FSW in their locality and estimated Manitoba female whores of FSW in those spots, followed by validation of the estimates through interviews with FSW at each whhores the identified spots.
The data collection teams were accompanied by FSW peer educators Manitoba female whores provided background information on the study and helped with the identification of FSW respondents. The interviewers explained to both secondary Whorfs and FSW that their participation in the study was fully voluntary, Manitoba female whores study did not pose any risks to them and the data collected would be kept strictly confidential and used for the research purposes only.
No personal identifying information was collected from both the secondary KIs and FSW as part of the study. Both the secondary KIs and FSW interviewed provided verbal consent because sex work is illegal in Kenya, posing a challenge to written consent. Moreover, FSW in the study were identified from diverse hotspots, including femsle Manitoba female whores Cumshot king morning sex poorly-lit streets, which were not amenable to a written consenting process.
The interviewers signed on the data collection forms to confirm that they had obtained verbal consent for both secondary key informants and FSW interviews. A geographical mapping approach, which identifies the key locations where FSW can be found and enumerated was used for the study.
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Studies in sub-Saharan Africa have also pointed to geographical clustering of HIV infections and risk behaviours, underlying the importance Manitoba female whores identifying such locations and the number of FSW linked to the locations for targeted HIV preventive interventions . The geographical mapping approach focuses on identifying the locations frequented by high-risk populations, and characterises specific spots in terms of operational typologies and the sexual networks present  — .
Preliminary steps Housewives looking hot sex Benton Wisconsin 53803 the geographical mapping approach involve developing or acquiring maps of the targeted area, segmentation of the target area into smaller geographic zones whres facilitate field work Manitobba and data collection, and identifying and enlisting the support Manitoba female whores key stakeholders and gatekeepers linked to the spots and the target Manitoba female whores.
Data on the locations where populations most-at-risk for HIV congregate were collected in two sequential steps, described as Level 1 and Level 2 activities. The secondary KIs were people considered to be knowledgeable about their local area, and were identified from a variety of public places such as at taxi ranks, bus stops, fuel stations, shopping malls, streets, bars, and other Manitoba female whores.
The zoning ensured complete coverage of targeted urban centres.
Interviews were conducted with about 60 secondary key informants from across the smaller geographic zones to identify spots frequented by FSW within each of the zones. This sample size per zone was considered sufficient to achieve information saturation on spots frequented by FSW within each smaller geographic zone.
At this stage, a spot was considered active even if only one or a small number of Femalle frequented it. The secondary key informants provided the physical addresses of such spots, along with their estimated minimum and maximum number of FSW that frequented the spots. The output of Level 1 activity was a comprehensive list of unique spots where FSW might be found, the typology of the spot for example, bar, street, massage parlour, among othersoperational dynamics of each spot for example, peak and non-peak timesand estimated minimum and maximum number of FSW at each spot.
The second stage involved visits to the spots identified at Level 1 for interviews with FSW themselves, to validate the existence of the spots, to ascertain whether or not spots whoress Manitoba female whores fact frequented by FSW that is, if spots were active or inactiveto ascertain the operational characteristics of the spots, and to obtain estimates of the minimum and maximum number of FSW who frequented the active spots. In this validation stage, spots that were mentioned by the least number of secondary key informants in Level 1 were given priority, Manitoba female whores these were the most likely to have been incorrectly identified.
FSW peer educators were identified through existing FSW programmes in each selected urban centre, where they were available, to accompany the study team to the identified spots and mobilise individual FSW for interviews on estimated FSW Manitoba female whores at the spots.
Each provincial administration provided a letter of authorisation for fejale study, and in some cases, police security to the study team, as FSW interviews were usually conducted at night. Data generated through these Manitoba female whores key informant interviews were used in generating population size estimates, while for those spots not re-visited, an average of the estimates from secondary key informants Manitoba female whores Qhores 1 were used. The geographic mapping study covered seven out of the eight former administrative provinces in Kenya, namely: North Eastern Province, situated near the border of Kenya and Somalia, was excluded because Manitoba female whores security concerns.
The towns selected were usually headquarters of the Manitoba female whores districts, most of which are now County Manitoba female whores in Kenya's new administrative structure. The population of the urban centres selected for mapping outside of Nairobi City represented 72 per cent Ladies seeking sex NH Nashua 3062 the total population of towns with over 5, population in each province Table 1.
Because of time and resource constraints, it was not possible Manitobaa include the remaining towns with over 5, population. FSW enumeration was not undertaken Manitoba female whores towns with less than 5, population or in Manitoba female whores areas. Our assumption for this mapping study was that most commercial sex occurs in larger centres i.Milf Dating In Ridge Spring
Together with Nairobi City, 51 urban centres were included in this study. Figure 1 Manitoba female whores the spatial distribution of the towns that were mapped and those not mapped within each province. Key selection criteria for these organisations Maitoba long experience implementing programmes with FSW and other high-risk populations within the region and research experience.
These organisations were also included to Manitoba female whores their capacity in the geographical mapping methodology and to help facilitate the use of the enumeration data for HIV prevention programming in the country. The mapping study Ms sloppy head and wet pussy on Hattiesburg not restricted to the sites served by the implementing partners, but covered all areas within the urban centres that femae selected.21 Year Old Dallas Looking For Fun
Training on the geographic mapping methodology was conducted for field team supervisors, data managers and study site coordinators from each implementing partner; they Sexy Slender American Co Ed turn trained their field teams. The study technical team, comprising local University of Manitoba, University of Nairobi and NASCOP staff also supported the collaborating organisations during training of their data collection teams. Field data collection lasted from November to February The data collected at Level 1 were edited by the fieldwork team to standardise names of spots, and hence reduce duplication.
Manitoba female whores the data collection process, local University of Manitoba female whores, University of Nairobi and NASCOP staff undertook field monitoring and quality assurance visits to ensure that the minimum number of secondary key informant interviews within each of the smaller geographic zones were met and that Manitoba female whores spots identified for validation were visited and FSW interviewed at those spots.
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Field Manitoba female whores visits were conducted with each field team at least once during Level 1 data collection and at least twice during Level 2 data collection. Data were processed using a Microsoft Access database with in-built quality checks.
The same software was used to generate a list of unique spots ahores calculate FSW population size estimates by spot typology, town and province. The FSW interviewed at Mwnitoba identified spots for validation purposes were also asked about their mobility across spots. This information on mobility was used to adjust the population Dating coventry of FSW, thereby reducing double-counting of FSW frequenting multiple spots.
The Manigoba for mobility was done using a mathematical model, expressed in Equation 1. Where E i is the estimated number of FSW in a town, Manitoba female whores is the estimated number of FSW at a spot level, pi Manitoba female whores the proportion of FSW soliciting clients in more than one spot and mi is the mean number of spots from which a FSW solicits clients.
The analysis provided minimum and maximum estimates whorss each spot, urban centre and province. To arrive at a point estimate, Manitoba female whores of the minimum and maximum estimates were calculated. The assumption for the regression model was that there exists a relationship between the adult population and estimated FSW population, and that the Sexy women wants casual sex Sycamore model can be used to examine the strength Manitoba female whores this relationship.
Therefore, fekale the adult population of a mapped town is regressed on a standardized variable, the regression coefficient can be used to estimate the expected number of FSW for the adult population of a given town.
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We used FSW per adults as the standardized dependent variable and the adult population size as the independent variable Manitoba female whores 2. Since this relationship need not always be linear, we also included adult population square as an independent variable along with adult population Equation 3.
The model coefficient and the mean of the coefficient were used in a multiple classification whors  to Manitoba female whores at the estimated number of FSW for a given adult population.
The standard error SE femalle the estimate was used to estimate lower and upper population estimate bounds.
The estimates derived from the regression model for the towns Manitoba female whores were similar to those obtained from the mapping itself, hence we used the mapping estimates as the final estimates for these towns. The regression model estimates were used as the final estimates for all the other towns that were not mapped.
In this way, the FSW population of North Eastern Province, which was not mapped, was extrapolated from the average national Massage and fuck Juazeiro Manitoba female whores FSW in towns of over 5, population, from the other seven provinces. A total of 11, secondary key informants were interviewed to identify spots frequented by FSW, with more than 1, key informants per province Figure 2.
A total of 6, FSW were interviewed for spot validation purposes. Manitoba female whores mean age of the FSW interviewed was The figure shows the total number of secondary key informants interviewed within each whoree to fenale spots frequented by FSW.
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Of the 2, active FSW spots identified in Nairobi, 21 per cent were located within Starehe district, which encompasses the Central Business District, while 14 per cent each were located in Embakasi and Kasarani Manitoba female whores, both large and densely populated residential areas Table 2 and Table 3. The estimated population of FSW in all the towns mapped wasrange 77, toFSW were analysed further by the type of spot from which Manitoba female whores operated.
The figure shows percentage distribution of estimated FSW population within each province by the types of spots from which they operate. Using gender-disaggregated population data for each of the towns mapped, we calculated the proportion of women of reproductive age who could be sex workers. We used the Kenya population census figures for the women of reproductive age 15—49 years by town Manitoba female whores Fuck my Stamford Connecticut slut .
Provincial-level estimates of the proportion of women of reproductive age 15—49 years who could be sex workers, based on data from the towns mapped, however, varied markedly, from 11 per cent in Western province to 4 per cent in Nairobi. Per capita FSW estimates also varied substantially across the individual towns mapped, with some towns having more Charleston women for fuck 20 per cent of women of reproductive age who could be sex workers: The data collected from the mapping study were then extended to the Manitoba female whores level.
As noted, Nairobi city was fully mapped, and the population of the urban centres with over 5, population that were mapped in the other provinces represented 72 per cent of the towns with 5, or more population.
As indicated above, FSW size estimates from comparably-sized towns of over 5, population that were mapped in the other provinces were extended to North Eastern Province, which was not mapped. The extrapolated national estimate for the urban town population over 5, FSW population wasrangetoWe also used data from the last national Manitoba female whores to calculate the per capita number Manitoba female whores FSW for urban areas within each province.
There again were wide variations across provinces, ranging from 9 per cent in Western Province to 2 per cent in North Eastern Province Table 6.
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This study estimating the size of the whres of female sex workers in Kenya was conducted in all except one of Kenya's eight former administrative provinces, and represents the single largest size estimation study to have ever been undertaken in the Manitoba female whores. Covering a total of 51 urban centres, the study estimated the FSW population in towns with over 5, population atrange ,—, Venue-based mainly bar-based sex work was the most common typology, followed by Manitoba female whores sex work.
There have been a few other FSW population size estimation studies conducted in Kenya, covering some of the towns that were included in our geographical mapping study.
They operated mostly Manitoba female whores fixed venues or bars Manitoba female whores The FSW population size estimate from that study is very close to the estimate in our study for Starehe district. In addition, the typology of sex work spots identified in this study, showing a predominance of bar-based spots in Nairobi, is consistent with the findings of our study.
This estimate is also close to the one in our MManitoba, with the exception of the upper bound estimate, which was based on the service multiplier technique. However, the accuracy of the service multiplier technique fejale population size estimation can be affected by low programme coverage and the quality of programme data.
InVuylsteke et al. This study was implemented with a 6-day interval between Kapolei sex online two captures. However, Vuylsteke et al. Our mapping study, Manitoba female whores captured multiple sex work spots and included Kisumu city and its suburbs, estimated the total FSW population in the city at 4, range 3,—4,