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Sampling methods for monitoring changes in gonococcal populations
1Department of Medical Microbiology, St Mary's Hospital Medical School, Paddington, London.
Epidemiology and Infection
|August 1, 1989
Summary
Monitoring Neisseria gonorrhoeae antibiotic resistance is feasible with smaller sample sizes. Two sampling methods, collecting every fifth or the first 20 isolates, accurately reflect the overall population
Area of Science:
- Microbiology
- Infectious Diseases
- Public Health Surveillance
Background:
- Neisseria gonorrhoeae is a significant cause of sexually transmitted infections.
- Monitoring antibiotic resistance patterns is crucial for effective treatment and public health.
- Assessing the representativeness of different sampling strategies is important for efficient surveillance.
Purpose of the Study:
- To evaluate the representativeness of two sampling methods for Neisseria gonorrhoeae surveillance.
- To determine if smaller sample sizes can accurately reflect the characteristics of the total bacterial population.
Main Methods:
- Collected 160 consecutive Neisseria gonorrhoeae isolates over three months.
- Tested isolates for susceptibility to penicillin, erythromycin, and spectinomycin.
- Determined auxotype and serotype for each isolate.
- Compared two sampling methods: every fifth isolate vs. the first 20 isolates (10 male, 10 female) per month.
Main Results:
- No significant difference was found between the sampling methods and the total population in detecting predominant auxotypes and serovars.
- Antibiotic susceptibility distributions were similar across all tested groups.
- Both sampling methods accurately reflected the overall Neisseria gonorrhoeae population characteristics.
Conclusions:
- Smaller sampling strategies, such as collecting every fifth or the first 20 isolates, are representative of the total Neisseria gonorrhoeae population.
- These methods can be effectively used for monitoring major changes in gonococcal populations, especially antibiotic susceptibility.
- Efficient surveillance of Neisseria gonorrhoeae is achievable with optimized sampling techniques.