Study protocol: improving response to malaria in the Amazon through identification of inter-community networks and human mobility in border regions of Ecuador, Peru and Brazil.

INTRODUCTION: Understanding human mobility's role in malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission. METHODS: We measure community connectivity across the study area using a respondent driven sampling design among key informants who are at least 18 years of age. 45 initial communities will be selected: 10 in Brazil, 10 in Ecuador and 25 in Peru. Participants will be recruited in each initial node and administered a survey to obtain data on each community's mobility patterns. Survey responses will be ranked and the 2-3 most connected communities will then be selected and surveyed. This process will be repeated for a third round of data collection. Community network matrices will be linked with each country's malaria surveillance system to test the effects of mobility on disease risk. ETHICS AND DISSEMINATION: This study protocol has been approved by the institutional review boards of Duke University (USA), Universidad San Francisco de Quito (Ecuador), Universidad Peruana Cayetano Heredia (Peru) and Universidade Federal Minas Gerais (Brazil). Results will be disseminated in communities by the end of the study.

Network Profile: Improving Response to Malaria in the Amazon through Identification of Inter-Community Networks and Human Mobility in Border Regions of Ecuador, Peru, and Brazil.

Objectives: Understanding human mobility's role on malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission. Design: A community-level network survey. Setting: We collect data on community connectivity along three river systems in the Amazon basin: the Pastaza river corridor spanning the Ecuador-Peru border; and the Amazon and Javari river corridors spanning the Brazil-Peru border. Participants: We interviewed key informants in Brazil, Ecuador, and Peru, including from indigenous communities: Shuar, Achuar, Shiwiar, Kichwa, Ticuna, and Yagua. Key informants are at least 18 years of age and are considered community leaders. Primary outcome: Weekly, community-level malaria incidence during the study period. Methods: We measure community connectivity across the study area using a respondent driven sampling design. Forty-five communities were initially selected: 10 in Brazil, 10 in Ecuador, and 25 in Peru. Participants were recruited in each initial node and administered a survey to obtain data on each community's mobility patterns. Survey responses were ranked and the 2-3 most connected communities were then selected and surveyed. This process was repeated for a third round of data collection. Community network matrices will be linked with eadch country's malaria surveillance system to test the effects of mobility on disease risk. Findings: To date, 586 key informants were surveyed from 126 communities along the Pastaza river corridor. Data collection along the Amazon and Javari river corridors is ongoing. Initial results indicate that network sampling is a superior method to delineate migration flows between communities. Conclusions: Our study provides measures of mobility and connectivity in rural settings where traditional approaches are insufficient, and will allow us to understand mobility's effect on malaria transmission.

An evaluation of cognitive behavioral therapy as a treatment for dissociative seizures: a pilot study.

OBJECTIVE: To evaluate in an open trial the effectiveness of cognitive behavioral therapy as a treatment of adults with dissociative seizures (i.e., "pseudoseizures"). BACKGROUND: Although suggestions have been made concerning the management of patients with dissociative seizures, no studies have previously evaluated the systematic use of cognitive behavioral therapy in the treatment of this disorder. METHOD: Twenty patients diagnosed with dissociative seizures were offered treatment comprising 12 sessions of cognitive behavioral therapy. Principal outcome measures were dissociative seizure frequency and psychosocial functioning, including improvement in employment status and mood. Measures were administered before treatment, at the end of treatment, and at a 6-month follow-up. RESULTS: Treatment was completed by 16 patients (questionnaire measures were not available for 4 patients who discontinued treatment). Following treatment, there was a highly significant reduction in seizure frequency and an improvement in self-rated psychosocial functioning. These improvements were maintained at the 6-month follow-up. There was also a tendency for patients to have improved their employment status between the start of treatment and the 6-month follow-up period. CONCLUSIONS: In this open prospective trial, cognitive behavioral therapy was associated with a reduction in dissociative seizure frequency and an improvement in psychosocial functioning in adults with dissociative seizures.