Low cost and real-time surveillance of enteric infection and diarrhoeal disease using rapid diagnostic tests: A pilot study
Low cost and real-time surveillance of enteric infection and diarrhoeal disease using rapid diagnostic tests: A pilot study
复制标题
使用快速诊断测试对肠道感染和腹泻病进行低成本实时监测:一项试点研究
DOI:
10.1101/2022.03.07.22271752
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Watson S
中科院分区:
文献类型:
--
作者:
Watson S
BackgroundReal-time disease surveillance is an important component of infection control in at-risk populations. However, data on cases or from lab testing is often not available in many low-resource settings. Rapid diagnostic tests (RDT), including immunochromatographic assays, may provide a low cost, expedited source of infection data.MethodsWe conducted a pilot survey-based prevalence mapping study of enteric infection in Camp 24 of the camps for the forcibly displaced Rohingya population from Myanmar in Cox’s Bazar, Bangladesh. We randomly sampled the population and collected and tested stool from under-fives for eight pathogens using RDTs in January–March 2021 and September–October 2021. A Bayesian geospatial statistical model allowing for imperfect sensitivity and specificity of the tests was adapted.ResultsWe collected and tested 396 and 181 stools in the two data collection rounds. Corrected prevalence estimates ranged from 0.5% (Norovirus) to 27.4% (Giardia). Prevalence ofEscherichia coliO157, Campylobacter, and Cryptosporidium were predicted to be higher in the high density area of the camp with relatively high probability (70–95%), while Adenovirus, Norovirus, and Rotavirus were lower in the areas with high water chlorination. Clustering of cases of Giardia and Shigella was also observed, although associated with relatively high uncertainty.ConclusionsWith an appropriate correction for diagnostic performance RDTs can be used to generate reliable prevalence estimates, maps, and well-calibrated uncertainty estimates at a significantly lower cost than lab-based studies, providing a useful approach for disease surveillance in these settings.
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影响因子:
3.1
作者:
Kim HS;Hyun J;Kim JS;Song W;Kang HJ;Lee KM
通讯作者:
Lee KM
影响因子:
9.4
作者:
J. Kaplon;C. Fremy;S. Pillet;Lucile Mendes Martins;K. Ambert‐Balay;S. Aho;P. Pothier
通讯作者:
P. Pothier
DOI:
--
发表时间:
2001
期刊:
Kansenshogaku zasshi. The Journal of the Japanese Association for Infectious Diseases
影响因子:
--
作者:
H. Shimizu;L. Li;K. Mitamura;K. Okuyama;Y. Hirai;H. Ushijima
通讯作者:
H. Ushijima
影响因子:
2.9
作者:
Watson SI;Diggle PJ;Chipeta MG;Lilford RJ
通讯作者:
Lilford RJ
影响因子:
2.2
作者:
E. Goto
通讯作者:
E. Goto