The Likoma Network Study: Context, data collection and initial results

The extent and structure of sexual networks have important consequences for the spread of sexually transmitted diseases such as HIV. However, very few datasets currently exist that allow a detailed investigation of sexual networks in sub-Saharan African settings where HIV epidemics have become generalized. In this paper, we describe the context and methods of the Likoma Network Study (LNS), one of the few studies that have collected extensive information on sexual networks in sub-Saharan Africa. We start by reviewing theoretical arguments and empirical studies emphasizing the importance of network structures in the epidemiology of HIV and other sexually transmitted infections (STI). The island setting of this study is described, and we argue that the choice of an island as a research site limited potential biases that may make the collection of sexual network data difficult. We then document our empirical strategy for the collection of sexual network data and the subsequent identification of sexual network partners. A description of the protocol for the collection of biomarker data (HIV infection) is provided. Finally, we present initial results relating to the socioeconomic context of the island, the size and composition of sexual networks, the quality of the sexual network data, the determinants of successful contact tracing during the LNS, and the prevalence of HIV in the study population.HIV risk factors, HIV transmission, Malawi, sexual behavior, sexual networks

The Likoma Network Study: Context, Data Collection and Initial Results

The sexual networks connecting members of a population have important consequences for the spread of sexually transmitted diseases including HIV. However, very few datasets currently exist that allow an investigation of the structure of sexual networks, particularly in sub-Saharan Africa where HIV epidemics have become generalized. In this paper, we describe the context and methods of the Likoma Network Study (LNS), a survey of complete sexual networks we conducted in Likoma island (Malawi) between October 2005 and March 2006. We start by reviewing theoretical arguments and empirical studies emphasizing the importance of network structures for the epidemiology of sexually and transmitted diseases. We describe the island setting of this study, and argue that the choice of an island as research site addresses the possible sources of bias in the collection of complete network data. We then describe in detail our empirical strategy for the identification of sexual networks, as well as for the collection of biomarker data (HIV infection). Finally, we provide initial results relating to the socioeconomic context of the island, the size and composition of sexual networks, the prevalence of HIV in the study population, the quality of the sexual network data, the determinants of successful contact tracing during the LNS, and basic measures of network connectivity

The Likoma network study: study context, data collection and survey instruments

The extent and structure of sexual networks have important consequences for the spread of sexually transmitted diseases such as HIV. However, very few datasets currently exist that allow a detailed investigation of sexual networks in sub-Saharan African settings where HIV epidemics have become generalized. In this paper, we describe the context and methods of the Likoma Network Study (LNS), one of the few studies that have collected extensive information on sexual networks in sub-Saharan Africa. We start by reviewing theoretical arguments and empirical studies emphasizing the importance of network structures in the epidemiology of HIV and other sexually transmitted infections (STI). The island setting of this study is described, and we argue that the choice of an island as a research site limited potential biases that may make the collection of sexual network data difficult. We then document our empirical strategy for the collection of sexual network data and the subsequent identification of sexual network partners. A description of the protocol for the collection of biomarker data (HIV infection) is provided. Finally, we present initial results relating to the socioeconomic context of the island, the size and composition of sexual networks, the quality of the sexual network data, the determinants of successful contact tracing during the LNS, and the prevalence of HIV in the study population