Data management in resource-limited settings can be a mountainous problem if not approached with a thorough understanding of those limitations and a mindset prepared for rapid changes in the environment. Data management becomes even more challenging at multiple points of entry, where there are many interwoven parts working together in order to get a potential traveler from his/her first steps into an airport area to boarding a plane, all while ensuring that the traveler has been thoroughly screened for any signs or symptoms of a possible Ebola virus disease infection. This capstone describes the history of the International Health Regulations’ effects on control of disease spread and importation at points of entry, the Do Not Board/Lookout List’s role in disease control in the United States, and the CDC’s International Assistance Team’s unique task in creating and implementing country-specific databases to meet the needs of Ebola-affected countries. The most critical data management need at these countries’ points of entry is specifically to prevent the exportation of Ebola virus disease in order to keep each country’s airspace open and allow goods, personnel and services to continue to be imported into these countries during this sustained Ebola outbreak.

Student Number : 0215978H - MPh research report - School of Public Health - Faculty of Health Sciences / The study was conducted in the City of Mbabane and assessed Occupational Health and Safety in the informal car maintenance, welding and spray-painting industry. The objective of the study was to assess the risks workers are exposed to in the informal car maintenance, welding and spray-painting industry in Mbabane city in Swaziland. Data was collected by administration of a questionnaire to managers of the establishments and by personal observations of workers while on the job from walk through surveys that were conducted in the city. Seventy (70) workplaces were identified and sixty five (65) of them participated in the study, representing a response rate of 92.86%. There were twenty (20) workplaces doing car maintenance, twenty five (25) doing welding and twenty (20) doing spray painting. Fifty-three (53) The data was analysed using the EPI INFO software and results revealed that most workers in this sector were indeed at high risk of exposure to occupational health and safety problems. They worked under unfavourable conditions such as working in the open and subjected to adverse weather conditions, exposed to solvents, welding fumes and gases, strenuous work, improper postures, lifting heavy loads, exposed to spray painting aerosols and fumes and exposed to dust. The workers’ occupational health and safety was made worse by the fact that most of them did not have or use personal protective equipment. 90% of the workers were exposed to emissions while carrying out their jobs of spray painting and 10% of them were exposed to paint. All the workers that were doing spray painting were exposed to paint (95%) and solvents 5%). Although 75% of the workers, doing spray painting had some kind of personal protection provided however the usage rate was very low. In all the workplaces that were doing spray painting, there were no other existing control measures for protecting the workers from paint emissions 76% did not have any respiratory protection. However, only 33.3% of them were using the PPE provided and 66.7% were not using them. Therefore most of the workers were at risk of breathing in welding fumes and other welding related gases. This means 92 % of workers were at risk to welding fumes and gases. 68% of the workers did not have protection for the hands, only 32% had. Those workers that had hand protection (32%) had gloves with shorter cuffs and separate sleeves (12%). Others had leather gauntlet gloves with canvas or cuffs (20%). 75% of these workers who had PPE were not using them, only 25% did. Since most of the workers did not use hand protection, this means that their hands were not protected against heat, spatter, and radiation. Most of the workers (72%) did not wear eye protection when removing slag and that put them at risk of eye injuries. All welding operations were not done in a booth. This means that the workers and co-workers were at risk of exposure to welding gases and fumes. 48% of the workplaces had their surroundings with materials that could catch fire. 52% had their surroundings free from burnable material. Therefore almost half of the workplaces were at risk of catching fire. 76% of the working places had no fire extinguishers. Only 24% had fire extinguishers, but only two had been serviced accordingly. The workplaces were less prepared for outbreaks of fire. 68% of the workers took no precautions against burns; they had their sleeves rolled up and forearms without gloves or sleeves when carrying out their work. Only 32% of the workers took precautions against burns. 72% of the workers said that they did not know how to treat burns. Only 28% said they knew how to treat them. 72% of the workplaces did not have first aid kits. The means that they were not prepared for accident, only 28% had first aid kits. 71.4% of the work places had first aid kits without the necessary medicines, bandages, and equipment, only 28.6% had. This indicated a lack of preparedness for accidents on their part. A long-term strategy should be developed aimed at improving the occupational health and safety of the workers. Workers need to be empowered to perform their tasks safely. Workers and owners of informal industries should participate in the formulation of interventions aimed at improving occupational health and safety. The City Council should provide health and safety education and training to the Informal Sector.

Introdução - A preocupação com a qualidade e disseminação dos dados em inquéritos é crescente no mundo. A integração entre banco de dados, planejamento da amostra, questionário e entrada de dados é fundamental para que resultados observados sejam válidos e precisos. A bibliografia pesquisada apontou que os inquéritos raramente produzem arquivos organizados, padronizados e prontos para disseminação, o que impossibilita estudar diferentes objetos de investigação com base em informações já coletadas. Objetivos - Implementar modelo hierárquico para entrada de dados em inquéritos epidemiológicos. Métodos - Foi utilizada a UML (Linguagem de Modelagem Unificada) para o projeto lógico e o Makeview do Epi Info para obtenção das estruturas de dados. Os testes foram feitos em um setor censitário do inquérito Acesso a Medicamentos - FAPESP. A documentação foi gerada no Makeview com ajuda de uma macro do Excel. Resultados - O modelo permite criar arquivos relacionais flexíveis, conforme a necessidade do objeto de estudo, com unidades estatísticas escolhidas dentre os 4 níveis hierárquicos: setor censitário, domicílios, indivíduos e questões específicas. Conclusão - A possibilidade de criar infinitas visões sobre os dados representa um avanço em comparação com o modelo plano. Deve ser usado como padrão em inquéritos epidemiológicos, pois permite estudar o efeito de conglomeração das unidades de análise, além de viabilizar a disseminação com dados organizados. O Epi Info pode ser usado para implementar modelos hierárquicos que considerem as variáveis do plano amostral. / Introduction - Concern about the quality and data dissemination in surveys is growing in the world. The integration between database, sample planning, questionnaire and data entry is fundamental to the accuracy and validity of the results. The bibliography showed that investigations rarely produce organized files, standardized and ready to dissemination, which makes impossible the study of various investigation objects based on information already collected. Goals - Implement hierarchical model for data entry in epidemiological surveys. Methods - It was used the UML (Unified Modeling Language) for the logical project and the Epi Info Makeview to obtain the data files. The tests were made in a census block of the Access to Medicines - FAPESP survey. The documentation was generated in Makeview with help of an Excel macro. Results - The model allows you to create flexible relational files, as the need to study subject, with statistical units chosen amongst the 4 hierarchical levels: census blocks, households, individuals and specific issues. Conclusion - The ability to create infinite views on the data represents a breakthrough in comparison to the flat files. It should be used as standard in epidemiological surveys, it allows studying the effect of conglomeration of analysis\' units, besides enabling the dissemination with organized data. The Epi Info can be used to implement hierarchical models that consider the variables of a sampling plan.

Introdução - A preocupação com a qualidade e disseminação dos dados em inquéritos é crescente no mundo. A integração entre banco de dados, planejamento da amostra, questionário e entrada de dados é fundamental para que resultados observados sejam válidos e precisos. A bibliografia pesquisada apontou que os inquéritos raramente produzem arquivos organizados, padronizados e prontos para disseminação, o que impossibilita estudar diferentes objetos de investigação com base em informações já coletadas. Objetivos - Implementar modelo hierárquico para entrada de dados em inquéritos epidemiológicos. Métodos - Foi utilizada a UML (Linguagem de Modelagem Unificada) para o projeto lógico e o Makeview do Epi Info para obtenção das estruturas de dados. Os testes foram feitos em um setor censitário do inquérito Acesso a Medicamentos - FAPESP. A documentação foi gerada no Makeview com ajuda de uma macro do Excel. Resultados - O modelo permite criar arquivos relacionais flexíveis, conforme a necessidade do objeto de estudo, com unidades estatísticas escolhidas dentre os 4 níveis hierárquicos: setor censitário, domicílios, indivíduos e questões específicas. Conclusão - A possibilidade de criar infinitas visões sobre os dados representa um avanço em comparação com o modelo plano. Deve ser usado como padrão em inquéritos epidemiológicos, pois permite estudar o efeito de conglomeração das unidades de análise, além de viabilizar a disseminação com dados organizados. O Epi Info pode ser usado para implementar modelos hierárquicos que considerem as variáveis do plano amostral. / Introduction - Concern about the quality and data dissemination in surveys is growing in the world. The integration between database, sample planning, questionnaire and data entry is fundamental to the accuracy and validity of the results. The bibliography showed that investigations rarely produce organized files, standardized and ready to dissemination, which makes impossible the study of various investigation objects based on information already collected. Goals - Implement hierarchical model for data entry in epidemiological surveys. Methods - It was used the UML (Unified Modeling Language) for the logical project and the Epi Info Makeview to obtain the data files. The tests were made in a census block of the Access to Medicines - FAPESP survey. The documentation was generated in Makeview with help of an Excel macro. Results - The model allows you to create flexible relational files, as the need to study subject, with statistical units chosen amongst the 4 hierarchical levels: census blocks, households, individuals and specific issues. Conclusion - The ability to create infinite views on the data represents a breakthrough in comparison to the flat files. It should be used as standard in epidemiological surveys, it allows studying the effect of conglomeration of analysis\' units, besides enabling the dissemination with organized data. The Epi Info can be used to implement hierarchical models that consider the variables of a sampling plan.