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
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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