La fièvre Ebola : organisation de la riposte et hantise au Sénégal

Diop, Madoky Magatte; Touré, Papa Souleymane; Berthe, Adama; Diop, Bernard Marcel; Ka, M.M.

doi:10.1016/j.revmed.2014.10.081

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This predominance of lymph node location had already been reported in Tunisian [13] and Senegalese [12] series. However, the predominance of serous localizations, mainly peritoneal in our series and in the Senegalese series of Diop et al [8], could be explained by the predominant gastroenterological orientation of these internal medicine departments.…”

Section: Discussioncontrasting

confidence: 59%

“…Thus, Nganda et al [7] in the Congo estimated it at 51.8% of all forms of tuberculosis. In Senegal, Diop et al [8] reported 12.7% of extra-pulmonary forms among 824 cases of tuberculosis collected in the Thiès health district. Senegalese epidemiological data from 2009 and 2018 reported extra-pulmonary forms in 14% of 12,836 cases of tuberculosis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Profile of Extra-Pulmonary Tuberculosis in Internal Medicine

Dieng,

Sow,

Diédhiou

et al. 2024

OJIM

View full text Add to dashboard Cite

Introduction: Tuberculosis is an infectious disease that mainly affects the lung. Extra-pulmonary localizations are a reason for hospitalization in our health facilities. The objective of this study was to describe the epidemiological, clinical, paraclinical and evolutionary aspects of extra pulmonary tuberculosis (EPT) at the Abass Ndao Hospital Center. Patients and Methods: This was a descriptive cross-sectional study conducted over a period of 11 years (January 1, 2010 to December 30, 2021). All patients with extrapulmonary tuberculosis hospitalized in the department of internal medicine during the recruitment period were included. Results: Fifty-two (52) patients were collected. The year 2019 recorded the most cases 23.08% (n = 20). The mean age of the patients was 40.56 ± 18.24 years. The age group 20 -34 years 42.31% (n = 22) was the most represented. Females were in the majority 61.54% (n = 32) with a sex ratio (M/F) was 0.63. Housewives were in the majority 40.38% (n = 21). 60.87% of the cases (n = 14) came from a health facility. 38.46% of the cases had been infected. 21.74% (n = 9) were smokers. The reasons for consultation were dominated by fever (67.44%), AEG (62.79%) and cough (41.86%). Eighteen patients (40.91%) had fever. The mean time to consultation was 77.37 ± 90.3 days with extremes of 3 and 365 days. The median was 45 days. More than half of the patients 61.90% (n = 26) had anemia. Positive retroviral serology was noted in 21.43% of cases. All patients had a CRP greater than 6. More than half of the patients 51.92% (n = 27) had multifocal tuberculosis. The peritoneum 44.23% (n = 23) was the main organ affected. The average hospital stay was 9.8 ± 4.9 days with extremes of 1 and 19 days. All patients had received the protocol in force at the national level. Death was noted in 4 patients (9.52%). Conclusion: EPT is characterized in our context by a notorious diagnostic difficulty due to the multiplicity of clinical presentations, the complexity of explorations, and the problems of

show abstract

Section: Discussioncontrasting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Profile of Extra-Pulmonary Tuberculosis in Internal Medicine

Dieng,

Sow,

Diédhiou

et al. 2024

OJIM

View full text Add to dashboard Cite

show abstract

“…Across health posts nationally, 67.9% had GPS coverage; such comparatively low coverage was largely skewed by Dakar, where only 32.5% of facilities designated as health posts had GPS coordinates. This is likely associated with the high prevalence of private clinics in Dakar, 31 for which more granular facility information can be more challenging to access. Outside of Dakar, GPS coverage ranged from 91.9% in Saint-Louis to 72.8% in Tambacounda; it is worth noting that the lower GPS coverage for Tambacounda is likely associated with the inclusion of a non-geolocated regional facility list of health centers, health posts, and health huts for 2022.…”

Section: Technical Validationmentioning

confidence: 99%

“…This is at least partly due to the composition of available facility data inputs (i.e., several data inputs included only public facilities), as well as higher missingness or non-reporting of GPS among private facilities in facility surveys. We sought to derive GPS locations based on facility addresses provided through a 2016-2017 assessment of private facilities in Senegal; 31 however, nearly all of the addresses included insufficient information for Google-based tools to appropriately assign reasonable GPS coordinates. Progress toward a full MFL with GPS will require improving the health data landscape for the private sector, particularly in areas with a higher prevalence of private health service delivery (e.g., Dakar).…”

Section: Usage Notesmentioning

confidence: 99%

A consolidated and geolocated facility list in Senegal from triangulating secondary data

Gueye,

Ly,

Gueye

et al. 2023

Preprint

View full text Add to dashboard Cite

Background Having a consolidated, geolocated list of all facilities in a country - a 'master facility list' (MFL) - can provide critical inputs for health program planning and implementation. To the best of our knowledge, Senegal has never had a centralized MFL, though many data sources currently exist within the broader Senegalese data landscape that could be used to work toward building a full MFL. Main text We collated 12,965 facility observations from 16 separate datasets and lists in Senegal, and applied matching algorithms, manual checking and revisions as needed, and verification processes to identify unique facilities and triangulate corresponding GPS coordinates. Our resulting consolidated facility list was a total of 4,685 facilities with 51.5% having at least one GPS coordinate (n=2,414). Key challenges included accounting for variable spelling across datasets, distinguishing between facility type changes (e.g., health huts being upgraded to health posts with the same name) and separate facilities that shared the same name, GPS verification, among others. Conclusion Developing approaches to leverage existing data for MFL establishment can help bridge data demands and inform more targeted approaches for completing a full facility census based on areas and facility types with the lowest coverage. Going forward, it is crucial to ensure routine updates of current facility lists, and to strengthen government-led mechanisms around such data collection demands and the need for timely data for health decision-making.

show abstract

La fièvre Ebola : organisation de la riposte et hantise au Sénégal

Cited by 2 publications

References 0 publications

Profile of Extra-Pulmonary Tuberculosis in Internal Medicine

Profile of Extra-Pulmonary Tuberculosis in Internal Medicine

A consolidated and geolocated facility list in Senegal from triangulating secondary data

Contact Info

Product

Resources

About