Le SIDA au Ghana (serveur d'exploration)

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West and Central Africa

Identifieur interne : 001236 ( Main/Exploration ); précédent : 001235; suivant : 001237

West and Central Africa

Auteurs : Nathalie Lydié ; Noah Jamie Robinson [France]

Source :

RBID : ISTEX:86D019D967FD83DFEE2B5D7FC03A813AE34491D4

Descripteurs français

English descriptors

Abstract

In West and Central Africa, countries with high rates of emigration and immigration tend to have higher rates of HIV infection. However, there is one exception, Senegal, an exception demonstrating that high levels of mobility and migration do not necessarily lead to rapid and extensive spread of HIV infection. Five different population groups are considered in this article, either because their numbers are substantial or because their role in the spread of HIV and STDs is known to be important. They are migrant labourers, truck drivers, itinerant traders, commercial sex workers (CSWs), and refugees. It is difficult to estimate numbers of migrant labourers but they are common in West Africa. Principal migration routes flow towards the coast, with three coastal countries constituting the main centres of immigration: Senegal, Nigeria and Côte d’Ivoire. In Central Africa, the most prominent are between Cameroon, Congo, Gabon and the Democratic Republic of Congo (formerly Zaire). The role of truck drivers in the spread of HIV/STDs is well documented in East Africa, but less so in West and Central Africa. Itinerant trading is often a major economic activity for women. Itinerant women traders may be especially vulnerable to infection with HIV and other STDs since their trading activities often involve travelling long distances without their families and selling sexual services to supplement their other trading activities. In West and Central Africa, prostitutes constitute a particular type of migrant, many of whom travel on an international scale. Prostitutes from Senegal and Guinea Bissau work in Gambia, those from Togo work in Côte d’Ivoire, and those from Ghana work in Benin, Senegal and Côte d’Ivoire. Finally, the continent has seen large‐scale refugee movements in recent years. The research indicates a complex relationship between migration and HIV infection. Clearly not all migrants have the same risk of infection and thus do not contribute equally to the spread of HIV. However, there is little analysis to date on the influences of different types of migration (which might be characterized by duration, frequency of return visits, living conditions, etc.) on the spread of HIV infection. Strong associations between migration and HIV seropositivity have suggested to various authors that migrant workers may be more involved in sexual activities with multiple partners, particularly while away from their home environment. However, few studies verify this hypothesis directly. Practical strategies for preventing the spread of HIV/AIDS among migrant populations in West and Central Africa must aim at providing information before departure, along the communication routes, at the final destination and at the time of their return journey. The degree of concentration at each stage will depend on the characteristics of the population. For example, male migrants should be informed before departure of the risk they take by having non‐protected sexual contacts during their absence. This is perhaps the most effective strategy for truck drivers and seasonal migrant labourers. Whatever strategy is used, however, solid collaboration will be required between countries, particularly with respect to information and prevention campaigns, and to the avoidance of stigmatization of any group of individuals.

Url:
DOI: 10.1111/1468-2435.00057


Affiliations:


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Le document en format XML

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<term>Aids cases</term>
<term>Aids prevention</term>
<term>American journal</term>
<term>Anarfi</term>
<term>Average price</term>
<term>Behaviour</term>
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<term>Blood transfusions</term>
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<term>Cameroon ministry</term>
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<term>Central african countries</term>
<term>Central african republic</term>
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<term>Condom</term>
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<term>Dakar</term>
<term>December</term>
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<term>Editions derouauxordina</term>
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<term>Lutte contre</term>
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<term>Main reasons</term>
<term>Main studies</term>
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<term>Male migration</term>
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<term>Market time</term>
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<term>Migrant communities</term>
<term>Migrant groups</term>
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<term>Migrant labourers</term>
<term>Migrant populations</term>
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<term>Migration</term>
<term>Migration routes</term>
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<term>Monogamous unions</term>
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<term>Prevalence levels</term>
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<term>Prevention campaigns</term>
<term>Prevention efforts</term>
<term>Prevention messages</term>
<term>Prevention programmes</term>
<term>Prevention strategies</term>
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<term>Programme</term>
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<term>Recent years</term>
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<term>Refugee movements</term>
<term>Refugee situations</term>
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<term>Regular partners</term>
<term>Return journey</term>
<term>Return visits</term>
<term>Risk behaviour</term>
<term>Risk factor</term>
<term>Risk factors</term>
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<term>Same risk</term>
<term>Same time</term>
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<term>Seasonal migrants</term>
<term>Seasonal migration</term>
<term>Second hypothesis</term>
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<term>Stds spread</term>
<term>Strong associations</term>
<term>Syphilis</term>
<term>Temporary expatriation</term>
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<term>Urban migrants</term>
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<term>West african countries</term>
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<term>Aids cases</term>
<term>Aids prevention</term>
<term>American journal</term>
<term>Anarfi</term>
<term>Average price</term>
<term>Behaviour</term>
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<term>Blood transfusions</term>
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<term>Burkina faso</term>
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<term>Cameroon ministry</term>
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<term>Central africa</term>
<term>Central african countries</term>
<term>Central african republic</term>
<term>Centre</term>
<term>Cervical infections</term>
<term>Chauffeurs routiers</term>
<term>Coastal countries</term>
<term>Communication routes</term>
<term>Community approaches</term>
<term>Complex relationship</term>
<term>Condom</term>
<term>Csws</term>
<term>Dakar</term>
<term>December</term>
<term>Democratic republic</term>
<term>Demographic characteristics</term>
<term>Different groups</term>
<term>Different types</term>
<term>East africa</term>
<term>Economic necessity</term>
<term>Economic situation</term>
<term>Editions derouauxordina</term>
<term>Effective strategy</term>
<term>Empirical studies</term>
<term>Enfermedades sexualmente transmisibles</term>
<term>Entre</term>
<term>Extensive spread</term>
<term>Family member</term>
<term>Faso</term>
<term>Final destination</term>
<term>First time</term>
<term>Frica</term>
<term>Further spread</term>
<term>Future research</term>
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<term>Ghanaian women</term>
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<term>Higher rates</term>
<term>Home environment</term>
<term>Human immunodeficiency virus</term>
<term>Immune deficiency syndromes</term>
<term>Infection</term>
<term>Infectious diseases</term>
<term>Inflammatory disease</term>
<term>International conference</term>
<term>International journal</term>
<term>International migration</term>
<term>International symposium</term>
<term>Itinerant</term>
<term>Itinerant traders</term>
<term>Itinerant women traders</term>
<term>Kouam</term>
<term>Labourer</term>
<term>Large number</term>
<term>Leur</term>
<term>Local women</term>
<term>Long distances</term>
<term>Long periods</term>
<term>Lorry parks</term>
<term>Lutte contre</term>
<term>Lydi</term>
<term>Main centres</term>
<term>Main reasons</term>
<term>Main studies</term>
<term>Male migrants</term>
<term>Male migration</term>
<term>Mali</term>
<term>Market time</term>
<term>Migrant</term>
<term>Migrant communities</term>
<term>Migrant groups</term>
<term>Migrant labour</term>
<term>Migrant labourers</term>
<term>Migrant populations</term>
<term>Migrant workers</term>
<term>Migrantes</term>
<term>Migration</term>
<term>Migration routes</term>
<term>Migration sont celles</term>
<term>Mobile populations</term>
<term>Monogamous unions</term>
<term>Mounkaila</term>
<term>Multiple partners</term>
<term>Nations population fund</term>
<term>Neighbouring countries</term>
<term>Niamey</term>
<term>Niger</term>
<term>Nigeria</term>
<term>Noire</term>
<term>Orubuloye</term>
<term>Other countries</term>
<term>Other partners</term>
<term>Other stds</term>
<term>Other stds knowledge</term>
<term>Particular type</term>
<term>Pickering</term>
<term>Pison</term>
<term>Plastic bags</term>
<term>Poids lourds</term>
<term>Poorer knowledge</term>
<term>Positive choice</term>
<term>Pregnant women</term>
<term>Prevalence</term>
<term>Prevalence levels</term>
<term>Prevalence rates</term>
<term>Prevention campaigns</term>
<term>Prevention efforts</term>
<term>Prevention messages</term>
<term>Prevention programmes</term>
<term>Prevention strategies</term>
<term>Previous month</term>
<term>Programme</term>
<term>Prostitute</term>
<term>Recent years</term>
<term>Refugee</term>
<term>Refugee movements</term>
<term>Refugee situations</term>
<term>Regional level</term>
<term>Regular partners</term>
<term>Return journey</term>
<term>Return visits</term>
<term>Risk behaviour</term>
<term>Risk factor</term>
<term>Risk factors</term>
<term>Rural areas</term>
<term>Rural senegal</term>
<term>Same risk</term>
<term>Same time</term>
<term>Sanogo</term>
<term>Seasonal migrants</term>
<term>Seasonal migration</term>
<term>Second hypothesis</term>
<term>Senegal</term>
<term>Several months</term>
<term>Sexual abstinence</term>
<term>Sexual activities</term>
<term>Sexual activity</term>
<term>Sexual behaviour</term>
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<term>Sexual contacts</term>
<term>Sexual networking</term>
<term>Sexual partners</term>
<term>Sexual relations</term>
<term>Sexual services</term>
<term>Short periods</term>
<term>Sida</term>
<term>Sida chez</term>
<term>Social science</term>
<term>Southern africa</term>
<term>Std</term>
<term>Stds spread</term>
<term>Strong associations</term>
<term>Syphilis</term>
<term>Temporary expatriation</term>
<term>Testa</term>
<term>Third hypothesis</term>
<term>Togo</term>
<term>Togo work</term>
<term>Trading activities</term>
<term>Travailleurs migrants</term>
<term>Truck drivers</term>
<term>Truck drivers truck drivers</term>
<term>Urban areas</term>
<term>Urban migrants</term>
<term>Vaginal douching</term>
<term>Various authors</term>
<term>Visit prostitutes</term>
<term>West africa</term>
<term>West african countries</term>
<term>West african initiative</term>
<term>Wider population</term>
<term>Wolner hanssen</term>
<term>Young women</term>
<term>Zaire</term>
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<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Bénin</term>
<term>Cameroun</term>
<term>Gambie</term>
<term>Ghana</term>
<term>Mali</term>
<term>Niger</term>
<term>Nigeria</term>
<term>Sénégal</term>
<term>Togo</term>
<term>Zaïre</term>
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<term>Prix moyen</term>
<term>Situation économique</term>
<term>Conférence internationale</term>
<term>Migrant</term>
<term>Migration</term>
<term>Réfugié</term>
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<front>
<div type="abstract" xml:lang="en">In West and Central Africa, countries with high rates of emigration and immigration tend to have higher rates of HIV infection. However, there is one exception, Senegal, an exception demonstrating that high levels of mobility and migration do not necessarily lead to rapid and extensive spread of HIV infection. Five different population groups are considered in this article, either because their numbers are substantial or because their role in the spread of HIV and STDs is known to be important. They are migrant labourers, truck drivers, itinerant traders, commercial sex workers (CSWs), and refugees. It is difficult to estimate numbers of migrant labourers but they are common in West Africa. Principal migration routes flow towards the coast, with three coastal countries constituting the main centres of immigration: Senegal, Nigeria and Côte d’Ivoire. In Central Africa, the most prominent are between Cameroon, Congo, Gabon and the Democratic Republic of Congo (formerly Zaire). The role of truck drivers in the spread of HIV/STDs is well documented in East Africa, but less so in West and Central Africa. Itinerant trading is often a major economic activity for women. Itinerant women traders may be especially vulnerable to infection with HIV and other STDs since their trading activities often involve travelling long distances without their families and selling sexual services to supplement their other trading activities. In West and Central Africa, prostitutes constitute a particular type of migrant, many of whom travel on an international scale. Prostitutes from Senegal and Guinea Bissau work in Gambia, those from Togo work in Côte d’Ivoire, and those from Ghana work in Benin, Senegal and Côte d’Ivoire. Finally, the continent has seen large‐scale refugee movements in recent years. The research indicates a complex relationship between migration and HIV infection. Clearly not all migrants have the same risk of infection and thus do not contribute equally to the spread of HIV. However, there is little analysis to date on the influences of different types of migration (which might be characterized by duration, frequency of return visits, living conditions, etc.) on the spread of HIV infection. Strong associations between migration and HIV seropositivity have suggested to various authors that migrant workers may be more involved in sexual activities with multiple partners, particularly while away from their home environment. However, few studies verify this hypothesis directly. Practical strategies for preventing the spread of HIV/AIDS among migrant populations in West and Central Africa must aim at providing information before departure, along the communication routes, at the final destination and at the time of their return journey. The degree of concentration at each stage will depend on the characteristics of the population. For example, male migrants should be informed before departure of the risk they take by having non‐protected sexual contacts during their absence. This is perhaps the most effective strategy for truck drivers and seasonal migrant labourers. Whatever strategy is used, however, solid collaboration will be required between countries, particularly with respect to information and prevention campaigns, and to the avoidance of stigmatization of any group of individuals.</div>
</front>
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