About: Integrated Disease Surveillance and Response (IDSR) in Malawi: Implementation Gaps and Challenges for Timely Alert

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Integrated Disease Surveillance and Response (IDSR) in Malawi: Implementation Gaps and Challenges for Timely Alert
Creator	Kagoli, Matthew Wu, Tsung-Shu Kaasbøll, Jens Aksel Bjune, Gunnar
source	BioRxiv; MedRxiv
abstract	The emerging and recent 2014 Ebola Virus Disease (EVD) outbreaks rang the bell to call upon efforts from globe to assist resource-constrained countries to strengthen public health surveillance system for early response. Malawi adopted the Integrated Disease Surveillance and Response (IDSR) strategy to develop its national surveillance system since 2002 and revised its guideline to fulfill the International Health Regulation (IHR) requirements in 2014. This study aimed to understand the state of IDSR implementation and differences between guideline and practice for future disease surveillance system strengthening. This was a mixed-method observational study. Quantitative data were to analyze completeness and timeliness of surveillance system performance from national District Health Information System 2 (DHIS2). Qualitative data were collected through interviews with 29 frontline health service providers from the selected district and key informants of the IDSR system implementation and administration at district and national levels. The current IDSR system showed relatively good completeness (76.4%) but poor timeliness (41.5%) of total expected monthly reports nationwide and zero weekly reports. The challenges of IDSR implementation revealed through qualitative data included lack of supervision, inadequate resources for training and difficulty to implement weekly report due to overwhelming paperwork at frontline health services. The differences between IDSR technical guideline and actual practice were huge. The developing information technology infrastructure in Malawi and emerging mobile health (mHealth) technology can be opportunities for the country to overcome these challenges and improve surveillance system to have better timeliness for the outbreaks and unusual events detection.
has issue date	2018-07-06(xsd:dateTime)
bibo:doi	10.1101/363713
has license	medrxiv
sha1sum (hex)	7d37b9bb45aa60ff71b01a27afee24eca35597d4
schema:url	https://doi.org/10.1101/363713
resource representing a document's title	Integrated Disease Surveillance and Response (IDSR) in Malawi: Implementation Gaps and Challenges for Timely Alert
schema:publication	bioRxiv
resource representing a document's body	covid:7d37b9bb45aa60ff71b01a27afee24eca35597d4#body_text
is schema:about of	named entity 'International Health' named entity 'globe' named entity 'PLoS ONE' named entity 'IMPLEMENTATION' named entity 'BELL' named entity 'surveillance' named entity 'disease surveillance' named entity 'call' named entity 'Disease' named entity 'IHR' named entity 'PLoS ONE' named entity 'Tanzania' named entity 'sub-Saharan Africa' named entity 'Democratic Republic of the Congo' named entity 'Viral Hemorrhagic Fever' named entity 'Africa' named entity 'epidemic' named entity 'electronic medical records' named entity 'HMIS' named entity 'global health' named entity 'situational awareness' named entity 'qualitative methods' named entity 'epidemic' named entity 'public health' named entity 'Health Surveillance' named entity 'syndromic surveillance' named entity 'HMIS' named entity 'health workers' named entity 'Malawi' named entity 'Africa' named entity 'public health' named entity 'HMIS' named entity 'decision-making' named entity 'data quality' named entity 'time series' named entity 'health facility' named entity 'Ebola' named entity 'information technology' named entity 'health care workers' named entity 'health services' named entity 'Zambia' named entity 'malaria' named entity 'Africa' named entity 'syndromic surveillance' named entity 'non-profit organization' named entity 'public health' named entity 'Western Africa' named entity 'EMR' named entity 'public health' named entity 'data quality' named entity 'USSD' named entity 'Africa' named entity 'information technology' named entity 'Malawi' named entity 'Malawi' named entity 'public health' named entity 'EMR' named entity 'disease surveillance' named entity 'diseases and conditions' named entity 'SMS' named entity 'mHealth' named entity 'health promotion' named entity 'data quality' named entity 'Personal Digital Assistants' named entity 'Malawi' named entity 'patient monitoring' named entity 'smartphone' named entity 'mHealth' named entity 'EMR' named entity 'Lilongwe District' named entity 'health care' named entity 'Malawi' named entity 'health care' named entity 'Viral Disease' named entity 'mHealth' named entity 'basic infrastructure' named entity 'health facilities' named entity 'health facilities' named entity 'developing countries' named entity '2, 7' named entity 'policies and procedures'

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