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Cette étude vise à analyser quelques paramètres épidémiologiques de l'allergie au Bénin. Elle a été réalisée à Cotonou au Centre Hospitalier Universitaire de la Mère et de l'Enfant (CHU-MEL) et au Centre Hospitalier Universitaire de Pneumo-Phtisiologie (CHU-PP). Elle a été menée sur la base d'une fiche de dépouillement permettant de recueillir les données ciblées. Le dépouillement a porté sur les dossiers archivés des patients ayant consultés dans ces hôpitaux au cours de l'année 2016. Seuls ceux qui avaient comme diagnostics posés des symptômes d'allergie ou suspicion allergie ont été sélectionnés puis dépouillés. Les données collectées ont été analysées à l'aide des logiciels Excel et STATA. Au total, 1098 dossiers sont dépouillés dans les deux centres avec respect58,3 % des dossiers étudiés proviennent du CHU-MEL, les autres proviennent du CHU-PP, soit 458 dossiers. L'âge des enfants influence le type de pathologie allergique dont ils sont atteints tandis que chez l'adulte le secteur d'activité est le facteur d'influence. Les secteurs d'activité les plus touchés sont le secteur tertiaire (commerçants, juristes, administrateurs) et les sans emploi (retraités ou écoliers, élèves ou étudiants). Les symptômes des allergies qui sont le plus souvent diagnostiqués sont la rhinite allergique accompagnée de toux spasmodique (36,0 %), la toux allergique (28,1 %), la rhinite allergique (13,8 %) et l'asthme (12,6 %). La période de pic de ces manifestations est celle de Novembre à février. L'allergie constitue donc bien un phénomène de santé publique au Bénin. This study aimed to analyze the epidemiological parameters concerning allergy in Benin. The study was carried out in Benin in Cotonou at the University Hospital Center for Mothers and Children and at the University Hospital Pulmonology-Tuberculosis Department respectively via external pediatric consultations and pulmonology departments. It was conducted using an accountancy sheet to collect the sociodemographic data of patients, the reasons for consultations, the diagnoses made, and the treatments followed. Counting was based on the archived records of patients visiting these hospitals throughout 2016. Only data for subjects diagnosed with allergy symptoms or presenting suspected allergy were selected and then examined. The collected data were analyzed using Excel and STATA software. In all, 1098 of the patient files consulted were processed. In total, 58.3 % (640 files) of these cases were from the University Hospital Center for Mother and Child, with the remainder (458 files) coming from the University Hospital Pulmonology-Tuberculosis Department. In children, age affects the type of allergic pathology seen, while in adults, the key factor is sector of activity. The sectors most affected are the tertiary sector (traders, lawyers, administrators) and subjects not in work (retired people, school children, and students). The most commonly diagnosed symptoms of allergies are allergic rhinitis with spasmodic cough (36.0 %), allergic cough (28.1 %), allergic rhinitis (13.8 %) and asthma (12.6 %). The peak period for these events is from November to February. Allergy is thus clearly a public health issue in Benin. [ABSTRACT FROM AUTHOR]

In total, 446 healthy individuals (240 in urban and 206 in rural environments, respectively) were selected from 96 households, based on cluster sampling of residential location. Demographic, sociological and environmental data were collected by face-to-face interviews using a standard questionnaire. Infection with Helicobacter pylori was assessed by detection of anti- H. pylori IgG serum antibodies. The prevalence of H. pylori antibodies was 75.4% in the urban population and 72.3% in rural (village) residents (p 0.459). No association was found between infection and age, gender, education level, size of household, economic activity or source of drinking water. The infection rate was higher in children whose parents were both infected, and also in children whose mother was infected (p < 0.001). By logistic regression analysis, the density of occupation of sleeping accommodation (more than three persons sharing a room; 95% odds ratio (OR) = 9.82 (4.13–23.31), p < 0.001), and the mother's status within the household (95% OR = 3.85 (1.53–9.67), p 0.003), were independent predictors for H. pylori infection. The 74% seroprevalence of H. pylori infection found in healthy Beninese individuals is similar to that reported previously from other parts of sub-Saharan Africa. Family contact with infected persons and crowded living conditions were associated with increased risk of infection. These findings are consistent with intra-familial H. pylori transmission and suggest that improvement of living conditions should be protective against infection. [ABSTRACT FROM AUTHOR]