IMPACT OF ENLIGHTENMENT AND MONITORING ON THE USE OF LONG LASTING INSECTICIDE NETS FOR MALARIA PREVENTION AMONG CHILDREN UNDER FIVE YEARS IN A RURAL COMMUNITY IN ABEOKUTA, NIGERIA

The female Anopheles mosquito is the vector for human malaria and bites man mostly from 5pm to 7am, with maximum intensity between 10pm and 4am. This provides the basis for the use of Long Lasting Insecticide Nets (LLIN). A study to assess the impact of enlightenment, advocacy and monitoring on LLIN use for children under five years was conducted in Olugbo. A total of two hundred (200) children under five years were recruited into the study. Ethical clearance was received from the Ogun State Ministry of Health. Pre-tested questionnaires were administered to the respondents and blood samples were collected for malaria test before and after provision(Pre and Post intervention) of LLIN. The blood samples were analyzed at the laboratory using the QBC Malaria Test and ParaLens system. The subjects were divided into two groups of study (group that received LLIN, enlightenment on the importance of LLIN and assisted with LLIN hanging) and Control (group that merely received the LLIN without enlightenment or assistance). The subjects in the study group were monitored between 1600hrs to 2000hrs thrice a week. The pre intervention study result shows that the prevalence of malaria infection was 70% and 56% amongst the study and Control group respectively. The post intervention blood samples screening reveals that the prevalence of infection in the study group was 13% with low parasite density. In the Control group, however, the prevalence of infection was 60% and 38.33% of those infected had high parasite density. There is a significant difference (P<0.05) in malaria parasitaemia between both groups post intervention. This study shows that distribution of LLINs alone is not sufficient to reduce malaria morbidity and recommends that enlightenment and assistance with hanging of LLINs should form an integral part of mass distribution of LLINs by government and donor agencies

A connectome of the adult drosophila central brain

The neural circuits responsible for behavior remain largely unknown. Previous efforts have reconstructed the complete circuits of small animals, with hundreds of neurons, and selected circuits for larger animals. Here we (the FlyEM project at Janelia and collaborators at Google) summarize new methods and present the complete circuitry of a large fraction of the brain of a much more complex animal, the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses, and proofread such large data sets; new methods that define cell types based on connectivity in addition to morphology; and new methods to simplify access to a large and evolving data set. From the resulting data we derive a better definition of computational compartments and their connections; an exhaustive atlas of cell examples and types, many of them novel; detailed circuits for most of the central brain; and exploration of the statistics and structure of different brain compartments, and the brain as a whole. We make the data public, with a web site and resources specifically designed to make it easy to explore, for all levels of expertise from the expert to the merely curious. The public availability of these data, and the simplified means to access it, dramatically reduces the effort needed to answer typical circuit questions, such as the identity of upstream and downstream neural partners, the circuitry of brain regions, and to link the neurons defined by our analysis with genetic reagents that can be used to study their functions. Note: In the next few weeks, we will release a series of papers with more involved discussions. One paper will detail the hemibrain reconstruction with more extensive analysis and interpretation made possible by this dense connectome. Another paper will explore the central complex, a brain region involved in navigation, motor control, and sleep. A final paper will present insights from the mushroom body, a center of multimodal associative learning in the fly brain

A connectome and analysis of the adult Drosophila central brain

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly’s brain

A connectome and analysis of the adult Drosophila central brain

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly's brain