Fig 1.
Map of catchment area of MSF’s CBS system in Cox’s Bazar, Bangladesh, week 20–44, 2019 (source: MSF).
Fig 2.
Use of CBS data to guide targeted programmatic interventions by MSF in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Table 1.
CBS case definitions syndromes/diseases under surveillance by MSF in Cox’s Bazar, Bangladesh, week 20–44, 2019 [5].
Table 2.
Description of human resources engaged in MSF’s public health surveillance in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Fig 3.
Overview of MSF’s public health surveillance, alert and response system in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Table 3.
Definitions and measurement of surveillance system attributes [7].
Table 4.
Catchment population MSF’s CBS in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Table 5.
Positive predictive value of a notified suspected case to meet the case definition in MSF’s CBS in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Fig 4.
Trends in suspected AWD cases compared between two MSF health facilities, surveillance workers and Epi Alert Team in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Fig 5.
Trends in suspected AJS cases compared between two MSF health facilities, surveillance workers and Epi Alert Team in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Fig 6.
Trends in suspected diphtheria cases compared between two MSF health facilities, surveillance workers and Epi Alert Team in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Fig 7.
Trends in suspected measles cases compared between two MSF health facilities, surveillance workers and Epi Alert Team in Cox’s Bazar, Bangladesh, week 20–44, 2019.
Table 6.
Timeliness of MSF’s health facility based surveillance versus CBS in Cox’s Bazar, Bangladesh, week 20–44, 2019*.