17 research outputs found

    Prevalence and determinants of hypertension among students of the University of Kinshasa, Democratic Republic of Congo: a cross-sectional study

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    Background: The 2017 ACC/AHA Guideline categorized blood pressure into 4 levels:normal (SBP<120 and DBP <80mm Hg), elevated (SBP of 120\u2013129 or DBP< 80 mmHg) and stage 1 (SBP of 130\u2013139 or DBP of 80\u201389 mm Hg) or 2 (SBP 65140 orDBP 6590mmHg). Compared with the JNC7 guideline, the 2017 ACC/AHA guideline recommends using lower SBP and DBP levels to define hypertension. Objective: To determine the prevalence of hypertension as well as associated factors among students of the University of Kinshasa. Methods: This was a cross-sectional study conducted at the University of Kinshasa and including 1 281 students aged between 18 and 30. Blood pressure was assessed according to the WHO STEPwise approach, which is a standardized method of data collection, analysis and dissemination for the surveillance of non-communicable diseases in WHO member countries.The Chisquare and Student's t-tests and a multivariate logistic regression analysis have been used to evaluate the results. Statistical analyses were done using IBM SPSS version 21. Results: The prevalence of hypertension according to the guidelines from the 2017 ACC/AHA and the JNC 7 was 26.4 % (CI 95%; 23.9 - 28.9) and 7.3 % (CI 95%; 5.8 -8.8), respectively. The results of multivariate logistic regression analysis showed that smoking, alcohol abuse, overweight, male sex, age 65 24 years old and low physical activity were associated with hypertension (p < 0.0001). Conclusion: At least one out of four students had hypertension. These data should encourage public health authorities to develop strategies for screening of BP and topromote the adoption of healthy lifestyle in young adults

    2009: Cholera epidemics, war and disasters around Goma and Lake Kivu: an eight-year survey. PLoS Neglected Tropical Diseases

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    Background: During the last eight years, North and South Kivu, located in a lake area in Eastern Democratic Republic of Congo, have been the site of a major volcano eruption and of numerous complex emergencies with population displacements. These conditions have been suspected to favour emergence and spread of cholera epidemics. Methodology/Principal Findings: In order to assess the influence of these conditions on outbreaks, reports of cholera cases were collected weekly from each health district of North Kivu (4,667,699 inhabitants) and South Kivu (4,670,121 inhabitants) from 2000 through 2007. A geographic information system was established, and in each health district, the relationships between environmental variables and the number of cholera cases were assessed using regression techniques and time series analysis. We further checked for a link between complex emergencies and cholera outbreaks. Finally, we analysed data collected during an epidemiological survey that was implemented in Goma after Nyiragongo eruption. A total of 73,605 cases and 1,612 deaths of cholera were reported. Time series decomposition showed a greater number of cases during the rainy season in South Kivu but not in North Kivu. Spatial distribution of cholera cases exhibited a higher number of cases in health districts bordering lakes (Odds Ratio 7.0, Confidence Interval range 3.8–12.9). Four epidemic reactivation

    Cholera Epidemics, War and Disasters around Goma and Lake Kivu: An Eight-Year Survey.

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    International audienceBACKGROUND: During the last eight years, North and South Kivu, located in a lake area in Eastern Democratic Republic of Congo, have been the site of a major volcano eruption and of numerous complex emergencies with population displacements. These conditions have been suspected to favour emergence and spread of cholera epidemics. METHODOLOGY/PRINCIPAL FINDINGS: In order to assess the influence of these conditions on outbreaks, reports of cholera cases were collected weekly from each health district of North Kivu (4,667,699 inhabitants) and South Kivu (4,670,121 inhabitants) from 2000 through 2007. A geographic information system was established, and in each health district, the relationships between environmental variables and the number of cholera cases were assessed using regression techniques and time series analysis. We further checked for a link between complex emergencies and cholera outbreaks. Finally, we analysed data collected during an epidemiological survey that was implemented in Goma after Nyiragongo eruption. A total of 73,605 cases and 1,612 deaths of cholera were reported. Time series decomposition showed a greater number of cases during the rainy season in South Kivu but not in North Kivu. Spatial distribution of cholera cases exhibited a higher number of cases in health districts bordering lakes (Odds Ratio 7.0, Confidence Interval range 3.8-12.9). Four epidemic reactivations were observed in the 12-week periods following war events, but simulations indicate that the number of reactivations was not larger than that expected during any random selection of period with no war. Nyiragongo volcanic eruption was followed by a marked decrease of cholera incidence. CONCLUSION/SIGNIFICANCE: Our study points out the crucial role of some towns located in lakeside areas in the persistence of cholera in Kivu. Even if complex emergencies were not systematically followed by cholera epidemics, some of them enabled cholera spreading

    Prevalence of anti-SARS-CoV-2 antibodies in people attending the two main Goma markets in the eastern Democratic Republic of the Congo.

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    The Democratic Republic of the Congo (DRC) officially reports low coronavirus disease 19 (COVID-19) prevalence. This cross-sectional study, conducted between September and November 2021, assessed the COVID-19 seroprevalence in people attending Goma's two largest markets, Kituku and Virunga. A similar study in a slum of Bukavu overlapped for 1 month using identical methods. COVID-19-unvaccinated participants (n = 796 including 454 vendors and 342 customers, 60% of whom were women) were surveyed. The median age of vendors and customers was 34.2 and 30.1 years, respectively. The crude and adjusted anti-SARS-CoV-2 antibody seroprevalence rates were 70.2% (95% CI 66.9-73.4%) and 98.8% (95% CI 94.1-100%), respectively, with no difference between vendors and customers. COVID-19 symptoms reported by survey participants in the previous 6 months were mild or absent in 58.9% and 41.1% of participants with anti-SARS-CoV-2 antibodies, respectively. No COVID-19-seropositive participants reported hospitalisation in the last 6 months. These findings are consistent with those reported in Bukavu. They confirm that SARS-CoV-2 spread without causing severe symptoms in densely populated settlements and markets and suggest that many COVID-19 cases went unreported. Based on these results, the relevance of an untargeted hypothetical vaccination programme in these communities should be questioned

    Preliminary inventory of bats (Mammalia, Chiroptera) in three Protected Areas of the Democratic Republic of the Congo

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    As part of biodiversity monitoring in the Kisangani Forest Region, a survey of bats was conducted in three protected areas, specifically Lomami, Yangambi and Epulu. In this pilot study, a total of 201 specimens were collected using Japanese nets of different lengths (6, 9 and 12 m long) and a height of 2 m with a mesh size of 2 × 2 cm to capture bats. Captured specimens were identified using determination keys appropriate for the study area. The results of inventories in the three sites revealed that 201 specimens of captured bats belong to 2 sub-orders, 4 families, 9 genera and 12 species. The most abundant species were Epomops franqueti, Megaloglossus woermannii and Myotis bocagii. The following species, Epomops franqueti, Megaloglossus woermanii, Casinycteris argynnis, and Hipposideros caffer were found at all three sites. Based on the Shannon Index, it was observed that the Lomami site has a higher specific diversity than the two other areas (Yangambi and Epulu) 1.74 against 1.51 and 1.42 respectively

    Suspect cases with culture done and Suspect cases with positive culture for <i>Vibrio cholera</i> (first part).

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    <p>Surveillance zone, Beira city, Mozambique (A); surveillance zone, Koumassi-Vridi-Port BoĂ«t district, Abidjan, Cote d’Ivoire (B); surveillance zone, Lake district, Togo (C); surveillance zone, Mbale-Manafwa-Butaleja districts, Uganda (D); surveillance zone, Lome-Golfe districts, Togo (E); surveillance zone, Conakry, Guinea (F); Dark blue bars show cases with culture test done, light blue bars show cases with culture test not done, green bars show cases with <i>Vibrio cholera</i> identified by culture, and yellow bars show cases having a culture negative for <i>Vibrio cholera</i>. The dashed line shows the first month of the enhanced Africhol surveillance. The dotted line shows the last month of the enhanced Africhol surveillance.</p
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