14 research outputs found
CrowdEEG Platform: A Collaborative Annotation Tool for Medical Time Series Data
No full textThis repository contains the code for the CrowdEEG web application, a collaborative annotation tool for medical time series data. Check out our Getting Started guide to learn how to run and deploy this web app.
This tool has been referenced in the following papers:
Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, and Edith Law: Ambiguity-aware AI Assistants for Medical Data Analysis. CHI 2020.
Mike Schaekermann, Graeme Beaton, Minahz Habib, Andrew Lim, Kate Larson, and Edith Law: Understanding Expert Disagreement in Medical Data Analysis through Structured Adjudication. CSCW 2019.
Sokolov, E. and Abdoul Bachir, D. H. and Sakadi, F. and Williams, J. and Vogel, A. C. and Schaekermann, Mike and Tassiou, N. and Bah, A. K. and Khatri, V. and Hotan, G. C. and Ayub, N. and Leung, E. and Fantaneanu, T. A. and Patel, A. and Vyas, M. and Milligan, T. and Villamar, M. F. and Hoch, D. and Purves, S. and Esmaeili, B. and Stanley, M. and Lehn‐Schioler, T. and Tellez‐Zenteno, J. and Gonzalez‐Giraldo, E. and Tolokh, I. and Heidarian, L. and Worden, L. and Jadeja, N. and Fridinger, S. and Lee, L. and Law, E. and Fodé Abass, C. and Mateen, F. J.: Tablet‐based electroencephalography diagnostics for patients with epilepsy in the West African Republic of Guinea. European Journal of Neurology 2020.
Williams, Jennifer A and Cisse, Fodé Abass and Schaekermann, Mike and Sakadi, Foksouna and Tassiou, Nana Rahamatou and Hotan, Gladia C. and Bah, Aissatou Kenda and Hamani, Abdoul Bachir Djibo and Lim, Andrew and Leung, Edward C.W. and Fantaneanu, Tadeu A. and Milligan, Tracey A. and Khatri, Vidita and Hoch, Daniel B. and Vyas, Manav V. and Lam, Alice D. and Cohen, Joseph M. and Vogel, Andre C. and Law, Edith and Mateen, Farrah J: Smartphone EEG and remote online interpretation for children with epilepsy in the Republic of Guinea: Quality, characteristics, and practice implications. Seizure 2020.
You may also be interested in the CrowdEEG Dataset.
If you find this web application useful in your research, please consider citing:
@inproceedings{Schaekermann2020AmbiguityAwareAI,
Author = {Schaekermann, Mike and Beaton, Graeme and Sanoubari, Elaheh and Lim, Andrew and Larson, Kate and Law, Edith},
Title = {Ambiguity-Aware AI Assistants for Medical Data Analysis},
Year = {2020},
ISBN = {9781450367080},
Publisher = {Association for Computing Machinery},
Address = {New York, NY, USA},
DOI = {10.1145/3313831.3376506},
Pages = {1–14},
Numpages = {14},
Location = {Honolulu, HI, USA},
Series = {CHI '20}
Analyse des aspects épidémiologiques, cliniques et évolutifs de la rougeole au Niger
No full textIntroduction : La rougeole sévit constamment au Niger avec des périodes de pic. L’objectif était d’analyser le profil épidémiologique, clinique et évolutif de la rougeole au cours de l’année 2022. Méthodologie : il s’agissait d’une étude transversale qui a porté sur tous les cas suspects de rougeole durant l’année 2022. L’analyse bivariée et multivariée ont été faites avec le logiciel SPSS version 27.0. et avait permis d’identifier les facteurs associés au décès. Résultats : un total de 8424 cas suspectés a été colligé. L’âge médian était de 3 ans avec des extrêmes de 0 à 72 ans et les moins de 15 ans représentaient 92%. Après régression logistique les facteurs prédictifs du décès étaient : la provenance du Nigéria (ORa= 0,16, IC à 95% [0,03- 0,82)]), les semaines épidémiologiques 37-52 (ORa = 0,02, IC à 95% [0,006 - 0,13)]). Conclusion : l’infection rougeoleuse demeure une réalité de santé publique, et la riposte repose principalement sur le renforcement de la vaccination. La létalité de la rougeole est étroitement corrélée aux pics épidémiologiques.
Introduction: Measles remains endemic in Niger with epidemic peaks. This study aimed to analyze the epidemiological, clinical, and outcome profile of measles cases during 2022. Methods: This was a cross-sectional study, including all suspected measles cases reported in 2022. Bivariate and multivariate analyses were performed using SPSS version 27.0. identifying factors associated with death. Results: a total of 8424 suspected cases were collected. The median age was 3 years, with extremes from 0 to 72 years old and those under 15 years old accounted for 92%. After logistic regression, the predictors of death were: origin from Nigeria (ORa= 0.16, 95% CI [0.03-0.82)]), epidemiological weeks 37-52 (ORa = 0.02, 95% CI [0.006-0.13)]). Conclusion: Measles infection remains a persistent public health concern, and the response must prioritize vaccination. The case fatality rate of the disease is closely correlated with epidemiological peaks
Analyse des aspects épidémiologique, cliniques et évolutifs de la rougeole au Niger
No full textIntroduction : La rougeole sévit constamment au Niger avec des périodes de pic. L’objectif était d’analyser le profil épidémio - clinique et évolutif de la rougeole au Niger. Méthodologie : Il s’agissait d’une étude transversale descriptive à visée analytique qui a porté sur tous les cas suspects de rougeole en 2022. L’analyse bivariée et multivariée avait permis d’identifier les facteurs associés au décès. Une P- value inférieure à 0,05 a été considérée comme significative. Résultats : Au total 8424 cas suspectés ont été colligés. La moyenne d’âge était de 5,51 ans avec des extrêmes allant de 0 à 72 ans et les moins de 15 ans représentaient 92%. Après regression logistique les cas suspects qui ont été enregistrés entre les semaines épidémiolgiques 37-52 [Odd Ratio Ajusté (ORA) = 0,02; Intervalle de confiance (IC) à 95% (0,006 - 0,13)] et ceux qui provenaient du Nigéria[ ORA= 0,16; IC à 95% ( 0,03- 0,82)] étaient protégés du décès. Conclusion : L’épidémie rougeoleuse demeure une réalité, la riposte à la rougeole doit mettre un accent sur la vaccination. La létalité de la maladie est corrélée au pic épidémiologique.
Introduction: Measles is constantly rampant in Niger with peak periods. The objective was to analyze the epidemio-clinical and evolutionary profile of measles in Niger. Methods: This was a descriptive cross-sectional study with an analytical focus that included all suspected measles cases in 2022. Bivariate and multivariate analysis identified factors associated with death. A P- value of less than 0.05 was considered significant. Results: A total of 8424 suspected cases were collected. The average age was 5.51 years with extremes ranging from 0 to 72 years old and those under 15 years old accounted for 92%. After logistic regression, suspected cases that were recorded between epidemiological weeks 37-52 [Adjusted Odd Ratio (ORA) = 0.02; 95% confidence interval (CI) (0.006 - 0.13)] and those from Nigeria [ORA= 0.16; 95% CI (0.03-0.82)] were protected from death. Conclusion: Measles outbreak remains a reality, measles response must a focus on vaccination. The lethality of the disease is correlated with the epidemiological peak
Sequelae following an epidemic of meningococcal meningitis in Niger in 2022.
No full textBackgroundThe management of post-meningitis sequelae is a priority in the WHO Roadmap to Defeat Meningitis by 2030. Nonetheless, the prevalence of sequelae in the African Meningitis Belt is not well described, making the development of post-meningitis care programmes difficult. We conducted a home-based follow-up study of cases notified during an epidemic due to Neisseria meningitidis serogroup C (NmC) in 2022 in the Dungass and Magaria Districts of Niger, to describe the prevalence of sequelae several months after the epidemic.MethodsStandard WHO case definitions were used during the epidemic. District linelists were completed with the results of PCR testing of patients who had undergone lumbar puncture. These lists included the village of origin of the notified cases. Accompanied by community outreach workers, the study's nurse-investigators sought out case-patients in their homes to assess the presence of sequelae. A standardised questionnaire was administered, and a focused physical examination was carried out.ResultsA total of 1001 suspected cases and 50 deaths (CFR 5.0%) were reported in the two districts. A total of 469 CSF samples (47%) were analysed at the national reference laboratory, of which 220 were PCR positive (47%). NmC was the predominant causative organism (87% of confirmed cases). 82 cases were excluded due to distance. 570 of the 919 cases sought out were eventually found and included. Of these 570 cases, 49 had died (CFR 8.6%). Among surviving cases, the prevalence of sequelae was 12%, and among survivors of confirmed NmC meningitis, 18%. The most common sequelae were hearing loss (6%), paralysis (3%) and epilepsy (2%).DiscussionCase fatality during the epidemic appears to have been higher than reported in routine surveillance. The prevalence of severe sequelae is high, and clinical description of sequelae could help future epidemic management
Analyse des aspects épidémiologique, cliniques et évolutifs de la rougeole au Niger
No full textIntroduction : La rougeole sévit constamment au Niger avec des périodes de pic. L’objectif était d’analyser le profil épidémio - clinique et évolutif de la rougeole au Niger. Méthodologie : Il s’agissait d’une étude transversale descriptive à visée analytique qui a porté sur tous les cas suspects de rougeole en 2022. L’analyse bivariée et multivariée avait permis d’identifier les facteurs associés au décès. Une P- value inférieure à 0,05 a été considérée comme significative. Résultats : Au total 8424 cas suspectés ont été colligés. La moyenne d’âge était de 5,51 ans avec des extrêmes allant de 0 à 72 ans et les moins de 15 ans représentaient 92%. Après regression logistique les cas suspects qui ont été enregistrés entre les semaines épidémiolgiques 37-52 [Odd Ratio Ajusté (ORA) = 0,02; Intervalle de confiance (IC) à 95% (0,006 - 0,13)] et ceux qui provenaient du Nigéria[ ORA= 0,16; IC à 95% ( 0,03- 0,82)] étaient protégés du décès. Conclusion : L’épidémie rougeoleuse demeure une réalité, la riposte à la rougeole doit mettre un accent sur la vaccination. La létalité de la maladie est corrélée au pic épidémiologique.
Introduction: Measles is constantly rampant in Niger with peak periods. The objective was to analyze the epidemio-clinical and evolutionary profile of measles in Niger. Methods: This was a descriptive cross-sectional study with an analytical focus that included all suspected measles cases in 2022. Bivariate and multivariate analysis identified factors associated with death. A P- value of less than 0.05 was considered significant. Results: A total of 8424 suspected cases were collected. The average age was 5.51 years with extremes ranging from 0 to 72 years old and those under 15 years old accounted for 92%. After logistic regression, suspected cases that were recorded between epidemiological weeks 37-52 [Adjusted Odd Ratio (ORA) = 0.02; 95% confidence interval (CI) (0.006 - 0.13)] and those from Nigeria [ORA= 0.16; 95% CI (0.03-0.82)] were protected from death. Conclusion: Measles outbreak remains a reality, measles response must a focus on vaccination. The lethality of the disease is correlated with the epidemiological peak
Single-dose oral ciprofloxacin prophylaxis as a response to a meningococcal meningitis epidemic in the African meningitis belt: A 3-arm, open-label, cluster-randomized trial
No full textAntibiotic prophylaxis for contacts of meningitis cases is not recommended during outbreaks in the African meningitis belt. We assessed the effectiveness of single-dose oral ciprofloxacin administered to household contacts and in village-wide distributions on the overall attack rate (AR) in an outbreak of meningococcal meningitis
Evaluation of community-based surveillance for acute flaccid paralysis cases in a security-compromised setting, Tillabéri Health Region, Niger, 2021
No full textIntroduction: Community-based surveillance (CBS) is based on community engagement in disease and public health event surveillance. Enhancing the CBS project has been implemented since 2020 through a Community Relays’ network in a security-compromised setting of Tillabéri Health Region in Niger to ensure progress towards poliomyelitis eradication. The study aimed at describing the CBS system and assessing its usefulness, simplicity, sensitivity, acceptability, timeliness, representativeness and determining its positive predictive value.
Methods: This was a descriptive cross-sectional study that included all alerts and acute flaccid paralysis (AFP) cases reported, as well as the selected surveillance system personnel from January 2017 to December 2021. Data were collected via desk reviews and individual face-to-face interviews to describe the CBS’ organisation and operation and assess its usefulness and attributes using the US Center for Disease Control and Prevention, Atlanta, 2001 guidelines. Usefulness were assessed by the Non Polio Acute Flaccid Paralysis Rate (NPAFP-R) before and during CBS, simplicity: no constraint in cases investigation, sensitivity: NPAFP-R≥3.0 cases/100,000 under 15 children in CBS districts, acceptability: ≥80.0% Community Relays reporting alerts associated with ≥80.0% priority sites adequately visited, ≥80.0% cases notified within 7 days after paralysis onset and ≥80.0% adequate cases, timeliness: ≥80.0% AFP cases notified within 7 days after paralysis onset investigated within 48 hours and received at National lab in good condition within 72 hours, representativeness: expected NPAFP-R with both sex and associated with the expected age groups within AFP cases in the CBS districts, Positive Predictive Value: percentage of Poliomyelitis cases among cases notified. Results are presented in proportions.
Results: Community Relays report to the health system through a free fleet mobile phone network involving all CBS stakeholders from the operational to the central level. The overall NPAFP-R rose from 1.3 to 18.0 cases/100,000 under 15 in CBS districts. AFP cases should be notified within 7 days after paralysis onset, investigated within 48 hours, and specimens should be collected 14 days after paralysis onset. The proportion of AFP cases notified within 7 days was 42.1% (8/19) and 65.1% (69/106) in 2020 and 2021 respectively. The NPAFP-R (Number of AFP cases/100,000 under 15) was 15.0 in Abala, Ayorou: 66.0, Gothèye: 13.0 and Kollo: 16.0. M/F sex ratio: 0.96. Age (years) distribution of cases was <1: 13.1% (15/114), 1-4: 84.3% (96/114), and 5-14: 2.6% (3/114). The overall Positive Predictive Value was 1.4% (2/141).
Conclusion: The enhanced CBS in Tillabéri Region was useful, sensitive, representative, complex, neither reactive nor acceptable. Its timeliness and acceptability could be improved if Community Relays were established and introduced to their respective communities
Cases of meningitis over time after inclusion, Madarounfa District, Niger, 2017.
No full text(A) Control arm. (B) Household prophylaxis arm. (C) Village-wide prophylaxis arm.</p
Attack rates by age, sex, and case confirmation status.
No full textAttack rates by age, sex, and case confirmation status.</p
