Print Email Facebook Twitter Community health surveillance via digital collection of syndromic and behavior data by community healthcare workers in rural Kenya Title Community health surveillance via digital collection of syndromic and behavior data by community healthcare workers in rural Kenya: a pilot study Author van Herpen, Maarten M.J.W. (Acacia Impact Innovation BV) Saadah, Nicholas H. (Leiden University Medical Center) Otieno, Pieter (AMREF Health Africa) Kiara, Lemmy (AMREF Health Africa) Diehl, J.C. (TU Delft Design for Sustainability) Date 2023 Abstract Disease surveillance is essential to enable adequate detection and response to disease outbreaks. Syndromic surveillance is used to augment traditional approaches, especially in community-based surveillance. Here we demonstrate that Community Healthcare Workers (CHWs) supported by a mobile phone application can provide community-based syndromic disease surveillance in low-resource settings, and that they are able to generate relevant symptom-based and behavior data such as cough symptoms, use of mosquito nets and availability of household handwashing facilities. We analyzed 1.6 million data points collected by CHWs during home visits in rural Kenya as a proof of principle that the symptoms and behavior they observe can be used as a community-based health surveillance tool. To demonstrate the relevance of the data, we show that national covid-19 case numbers did not align with reported cough symptoms in remote populations, which implies that rural populations did not experience covid-19 outbreaks in tandem with urban populations. We also found that the behavior of using long-lasting insecticidal nets could be tracked by the CHWs, and it followed the seasonality of the mosquito burden. Strengthening community-based syndromic and behavior surveillance through CHWs is therefore a great opportunity to strengthen national public health surveillance and response in Africa and should be included in the Integrated Disease Surveillance and Response (IDSR) strategy. Subject Community health workersCommunity-based disease surveillanceSyndromic disease surveillanceEpidemic preparednessCovid-19Long-lasting insecticidal netsMobile phoneAfrica To reference this document use: http://resolver.tudelft.nl/uuid:87fc1be1-7ded-4c0a-9fe2-a2c43ed7a2d6 DOI https://doi.org/10.1007/s44250-023-00063-5 ISSN 2731-7501 Source Discover Health Systems, 2 Part of collection Institutional Repository Document type journal article Rights © 2023 Maarten M.J.W. van Herpen, Nicholas H. Saadah, Pieter Otieno, Lemmy Kiara, J.C. Diehl Files PDF s44250_023_00063_5.pdf 672.57 KB Close viewer /islandora/object/uuid:87fc1be1-7ded-4c0a-9fe2-a2c43ed7a2d6/datastream/OBJ/view