{"id":"W4385882668","doi":"10.2196/45715","title":"Facilitators and Barriers in the Implementation of a Digital Surveillance and Outbreak Response System in Ghana Before and During the COVID-19 Pandemic: Qualitative Analysis of Stakeholder Interviews","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 International Cooperation; Deutsche Gesellschaft für Internationale Zusammenarbeit; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; European Commission","keywords":"Disease surveillance; International Health Regulations; Qualitative research; Business; Institutionalisation; Pandemic; Workforce; Context (archaeology); Public relations; Environmental health; Knowledge management; Medicine; Political science; Disease; Public health; Nursing; Geography; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01740089,0.0004972253,0.0005046002,0.001471733,0.006608359,0.002628438,0.001449347,0.001374874,0.001682438],"category_scores_gemma":[0.02214286,0.0006566985,0.0003322914,0.001698738,0.007164787,0.003768563,0.003439293,0.001621859,0.000154958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007021097,"about_ca_system_score_gemma":0.007003195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01080525,"about_ca_topic_score_gemma":0.01522056,"domain_scores_codex":[0.9888588,0.008588514,0.0003372154,0.0003958742,0.0004859271,0.001333593],"domain_scores_gemma":[0.9695458,0.02582744,0.001830687,0.0003468682,0.001317194,0.001132089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003287823,0.00002833707,0.002864291,0.0001013606,0.000001980828,0.0004650778,0.9927013,0.00003903466,0.0006822703,0.0006498569,0.0001652177,0.00226842],"study_design_scores_gemma":[0.000003289741,0.00002797334,0.001573627,0.0001062208,0.000001921832,0.00007588563,0.9960663,0.00007179508,0.0002337031,0.0001358014,0.001698621,0.000004904025],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939971,0.0002472566,0.00182404,0.001490655,0.00001753037,0.0003330763,0.0001091604,0.000007313853,0.001973927],"genre_scores_gemma":[0.9967561,0.0003546518,0.001504039,0.0002845509,0.000007487685,0.0003527317,0.00005033343,0.00001077908,0.0006793394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01740089,"threshold_uncertainty_score":0.09202582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1427130785477592,"score_gpt":0.4936533623489764,"score_spread":0.3509402838012172,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}