People-centred surveillance : a narrative review of community-based surveillance among crisis-affected populations
Copyright © 2020 Elsevier Ltd. All rights reserved..
Outbreaks of disease in settings affected by crises grow rapidly due to late detection and weakened public health systems. Where surveillance is underfunctioning, community-based surveillance can contribute to rapid outbreak detection and response, a core capacity of the International Health Regulations. We reviewed articles describing the potential for community-based surveillance to detect diseases of epidemic potential, outbreaks, and mortality among populations affected by crises. Surveillance objectives have included the early warning of outbreaks, active case finding during outbreaks, case finding for eradication programmes, and mortality surveillance. Community-based surveillance can provide sensitive and timely detection, identify valid signals for diseases with salient symptoms, and provide continuity in remote areas during cycles of insecurity. Effectiveness appears to be mediated by operational requirements for continuous supervision of large community networks, verification of a large number of signals, and integration of community-based surveillance within the routine investigation and response infrastructure. Similar to all community health systems, community-based surveillance requires simple design, reliable supervision, and early and routine monitoring and evaluation to ensure data validity. Research priorities include the evaluation of syndromic case definitions, electronic data collection for community members, sentinel site designs, and statistical techniques to counterbalance false positive signals.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:4 |
|---|---|
| Enthalten in: |
The Lancet. Planetary health - 4(2020), 10 vom: 30. Okt., Seite e483-e495 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Ratnayake, Ruwan [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 14.04.2021 Date Revised 14.04.2021 published: Print Citation Status MEDLINE |
|---|
| doi: |
10.1016/S2542-5196(20)30221-7 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM31608221X |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM31608221X | ||
| 003 | DE-627 | ||
| 005 | 20231225160318.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231225s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/S2542-5196(20)30221-7 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1053.xml |
| 035 | |a (DE-627)NLM31608221X | ||
| 035 | |a (NLM)33038321 | ||
| 035 | |a (PII)S2542-5196(20)30221-7 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Ratnayake, Ruwan |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a People-centred surveillance |b a narrative review of community-based surveillance among crisis-affected populations |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 14.04.2021 | ||
| 500 | |a Date Revised 14.04.2021 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 Elsevier Ltd. All rights reserved. | ||
| 520 | |a Outbreaks of disease in settings affected by crises grow rapidly due to late detection and weakened public health systems. Where surveillance is underfunctioning, community-based surveillance can contribute to rapid outbreak detection and response, a core capacity of the International Health Regulations. We reviewed articles describing the potential for community-based surveillance to detect diseases of epidemic potential, outbreaks, and mortality among populations affected by crises. Surveillance objectives have included the early warning of outbreaks, active case finding during outbreaks, case finding for eradication programmes, and mortality surveillance. Community-based surveillance can provide sensitive and timely detection, identify valid signals for diseases with salient symptoms, and provide continuity in remote areas during cycles of insecurity. Effectiveness appears to be mediated by operational requirements for continuous supervision of large community networks, verification of a large number of signals, and integration of community-based surveillance within the routine investigation and response infrastructure. Similar to all community health systems, community-based surveillance requires simple design, reliable supervision, and early and routine monitoring and evaluation to ensure data validity. Research priorities include the evaluation of syndromic case definitions, electronic data collection for community members, sentinel site designs, and statistical techniques to counterbalance false positive signals | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 700 | 1 | |a Tammaro, Meghan |e verfasserin |4 aut | |
| 700 | 1 | |a Tiffany, Amanda |e verfasserin |4 aut | |
| 700 | 1 | |a Kongelf, Anine |e verfasserin |4 aut | |
| 700 | 1 | |a Polonsky, Jonathan A |e verfasserin |4 aut | |
| 700 | 1 | |a McClelland, Amanda |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t The Lancet. Planetary health |d 2017 |g 4(2020), 10 vom: 30. Okt., Seite e483-e495 |w (DE-627)NLM271658096 |x 2542-5196 |7 nnns |
| 773 | 1 | 8 | |g volume:4 |g year:2020 |g number:10 |g day:30 |g month:10 |g pages:e483-e495 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/S2542-5196(20)30221-7 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 4 |j 2020 |e 10 |b 30 |c 10 |h e483-e495 | ||