دورية أكاديمية
Geographically regulated designs of incidence surveys can match the precision of classical survey designs whilst requiring smaller sample sizes: the case of snakebite envenoming in Sri Lanka.
| العنوان: | Geographically regulated designs of incidence surveys can match the precision of classical survey designs whilst requiring smaller sample sizes: the case of snakebite envenoming in Sri Lanka. |
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| المؤلفون: | Ediriweera DS; Health Data Science Unit, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka dileepa@kln.ac.lk., de Silva T; Department of Decision Sciences, Faculty of Business, University of Moratuwa, Moratuwa, Sri Lanka., Kasturiratne A; Department of Public Health, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka., de Silva HJ; Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka., Diggle P; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, UK. |
| المصدر: | BMJ global health [BMJ Glob Health] 2022 Oct; Vol. 7 (10). |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101685275 Publication Model: Print Cited Medium: Print ISSN: 2059-7908 (Print) Linking ISSN: 20597908 NLM ISO Abbreviation: BMJ Glob Health Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: [London] : BMJ Publishing Group Ltd, [2016]- |
| مواضيع طبية MeSH: | Snake Bites*/epidemiology, Antivenins/therapeutic use ; Humans ; Incidence ; Neglected Diseases ; Sample Size ; Snake Venoms ; Sri Lanka/epidemiology |
| مستخلص: | Background: Snakebite envenoming is a neglected tropical disease. Data from the worst affected countries are limited because conducting epidemiological surveys is challenging. We assessed the utility of inhibitory geostatistical design with close pairs (ICP) to estimate snakebite envenoming incidence. Methods: The National Snakebite Survey (NSS) in Sri Lanka adopted a multistage cluster sampling design, based on population distribution, targeting 1% of the country's population. Using a simulation-based study, we assessed predictive efficiency of ICP against a classical survey design at different fractions of the original sample size of the NSS. We also assessed travel distance, time taken to complete the survey, and sensitivity and specificity for detecting high-risk areas for snake envenoming, when using these methods. Results: A classical survey design with 33% of the original NSS sample size was able to yield a similar predictive efficiency. ICP yielded the same at 25% of the NSS sample size, a 25% reduction in sample size compared with a classical survey design. ICP showed >80% sensitivity and specificity for detecting high-risk areas of envenoming when the sampling fraction was >20%. When ICP was adopted with 25% of the original NSS sample size, travel distance was reduced by >40% and time to conduct the survey was reduced by >75%. Conclusions: This study showed that snakebite envenoming incidence can be estimated by adopting an ICP design with similar precision at a lower sample size than a classical design. This would substantially save resources and time taken to conduct epidemiological surveys and may be suited for low-resource settings. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.) |
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| فهرسة مساهمة: | Keywords: Community-based survey; Cross-sectional survey; Geographic information systems; Health services research; Snake bite, stings and other evenoming |
| المشرفين على المادة: | 0 (Antivenins) 0 (Snake Venoms) |
| تواريخ الأحداث: | Date Created: 20221011 Date Completed: 20221013 Latest Revision: 20221021 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC9557310 |
| DOI: | 10.1136/bmjgh-2022-009500 |
| PMID: | 36220306 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2059-7908 |
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| DOI: | 10.1136/bmjgh-2022-009500 |