Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0017160 (gastroenteritis)
 11,398 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

This study was conducted to provide practical information for actual preparation of medical volunteering in tropical Asia, mainly the distribution of common illnesses encountered during mission. From 2012 to 2017, we visited two rural areas of Eastern Cambodia for medical volunteering missions, Cham Lak and Khsoem. Neither area has electricity or public water. We classified the common cases encountered during missions into six groups (upper respiratory infection, gastroenteritis, vaginitis and/or cystitis, dermatitis, work-related pain and parasite prevention) and assessed the distribution. In Cham Lak and Khsoem, 558 and 371 people were treated, respectively. The most commonly encountered cases in children under age of 18 were upper respiratory infection, followed by parasite control and dermatitis, in both areas. There was no significant difference in distribution between the two areas. For adults, the most common illnesses in Cham Lak area were vaginitis and/or cystitis, followed by gastroenteritis and work-related pain. In Khsoem area, the common illnesses were work-related pain followed by gastroenteritis, and upper respiratory infection. The distribution between the two areas differed significantly (p <0.001). The difference might be due to the water source and main crops of agriculture. Successful preparation of a medical volunteering needs deep understanding of the destination community.
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PMID:Common Illnesses in Tropical Asia and Significance of Medical Volunteering. 3009 Aug 65

Down syndrome (DS) is the commonest genetic disorder and more liable for recurrent infections. We aimed to determine the differences in lymphocyte subgroups between DS children and the healthy population and to study the pattern and likelihood for recurrent infections and hospital admission due to infection. Our study was carried out in the Genetic Unit of Mansoura University Children's Hospital, Egypt. The study enrolled 150 DS (DS group) and 100 controls (CG group). They were assessed for recurrent infections (including tonsillitis, otitis media [OM], pneumonia, upper respiratory tract infections [URTI], sinusitis, and gastroenteritis [GE]) and hospital admission due to infections. All patients were subjected to complete blood count and flow cytometric analysis for expression markers of B lymphocytes (CD19), natural killer (NK) cells (CD56), and T lymphocytes (CD3, CD4 and CD8). We found a statistically significant increase in the frequency of URTIs and sinusitis, OM, pneumonia, and hospital admission in the DS group. As regards the type of recurrent infection in DS, it was highest for URTIs and sinusitis. For age groups below 13 years, a statistically significant decrease in all studied CD markers was found in the DS group, while for the 13-18-year-olds, a statistically significant decrease was found in CD4, CD19, and CD56 in the DS group. Non-significant correlations were found between CD markers and recurrent infection and hospital admission. We concluded that lymphocyte subgroups that carry CD3, CD4, CD8, CD19, and CD56 were decreased in DS. Recurrent infections and hospital admission are still striking feature for DS but are not significantly correlated with lymphocyte subgroups.
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PMID:Lymphocyte subgroups and recurrent infections in children with Down syndrome - a prospective case control study. 3058 68

Early detection of disease outbreaks is crucial and even small improvements in detection can significantly impact on a country's public health. In this work, we investigate the use of a crowdsourcing application and a real-time disease outbreak surveillance system for five diseases; Influenza, Gastroenteritis, Upper Respiratory Tract Infection (URTI), Scabies and Conjunctivitis, that are closely monitored in Mauritius. We also analyze and correlate the collected data with past statistics. A crowdsourcing mobile application known as Disease Outbreak Tracker (DOT) was implemented and made public. A real-time disease surveillance system using the Early Aberration Reporting System algorithm (EARS) for analysis of the collected data was also implemented. The collected data were correlated to historical data for 2017. Data were successfully collected and plotted on a daily basis. The results show that a few cases of Flu and Scabies were reported in some districts. The EARS methods C1, C2 and C3 also depicted spikes above the set threshold on some days. The study covers data collected over a period of one month. Once symptoms data were collected using DOT, probabilistic methods were used to find the disease or diseases that the user was suffering from. The data were further processed to find the extent of the disease outbreak district-wise, per disease. These data were represented graphically for a rapid understanding of the situation in each district. Our findings concur with existing data for the same period for previous years showing that the crowdsourcing application can aid in the detection of disease outbreaks.
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PMID:DOT: a crowdsourcing Mobile application for disease outbreak detection and surveillance in Mauritius. 3283 7


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