Strengthening timely detection and reporting of unusual respiratory events from health facilities in Yaoundé, Cameroon
Autor: | Bienvenu Etogo, Brett Whitaker, Elise Seukap, Luc Christian Gwom, Gwladys Chavely Monamele, Chanceline Bilounga Ndongo, Alain Georges M Etoundi, Arunmozhi Balajee, Henri Manga, Omer G. Pasi, Richard Njouom, Karen A. Alroy, Carolle Yanique Tayimetha, Sebastien Kenmoe, Dorine Tseuko, Alexey Clara |
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Rok vydání: | 2020 |
Předmět: |
Pulmonary and Respiratory Medicine
medicine.medical_specialty Epidemiology 030231 tropical medicine Early detection International Health Regulations 03 medical and health sciences 0302 clinical medicine Influenza A Virus H1N1 Subtype Health facility early warning and response Medicine Humans Public Health Surveillance 030212 general & internal medicine Cameroon Respiratory Tract Infections global health security Warning system Bacteria business.industry event‐based surveillance Public health Public Health Environmental and Occupational Health Outbreak Original Articles medicine.disease Triage Haemophilus influenzae 3. Good health health facility Klebsiella pneumoniae Streptococcus pneumoniae Infectious Diseases Viruses surveillance Christian ministry Original Article Medical emergency Health Facilities Public Health business |
Zdroj: | Influenza and Other Respiratory Viruses |
ISSN: | 1750-2659 1750-2640 |
DOI: | 10.1111/irv.12684 |
Popis: | Background The International Health Regulations state that early detection and immediate reporting of unusual health events is important for early warning and response systems. Objective To describe a pilot surveillance program established in health facilities in Yaounde, Cameroon in 2017 which aimed to enable detection and reporting of public health events. Methods Cameroon's Ministry of Health, in partnership with the US Centers for Disease Control and Prevention, Cameroon Pasteur Center, and National Public Health Laboratory, implemented event-based surveillance (EBS) in nine Yaounde health facilities. Four signals were defined that could indicate possible public health events, and a reporting, triage, and verification system was established among partner organizations. A pre-defined laboratory algorithm was defined, and a series of workshops trained health facilities, laboratory, and public health staff for surveillance implementation. Results From May 2017 to January 2018, 30 signals were detected, corresponding to 15 unusual respiratory events. All health facilities reported a signal at least once, and more than three-quarters of health facilities reported ≥2 times. Among specimens tested, the pathogens detected included Klebsiella pneumoniae, Moraxella catarrhalis, Streptococcus pneumoniae, Haemophilus influenza, Staphylococcus aureus, Pneumocystis jiroveci, influenza A (H1N1) virus, rhinovirus, and adenovirus. Conclusions The events detected in this pilot were caused by routine respiratory bacteria and viruses, and no novel influenza viruses or other emerging respiratory threats were identified. The surveillance system, however, strengthened relationships and communication linkages between health facilities and public health authorities. Astute clinicians can play a critical role in early detection and EBS is one approach that may enable reporting of emerging outbreaks and public health events. |
Databáze: | OpenAIRE |
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