scholarly journals Twenty Years of Integrated Disease Surveillance and Response in Sub-Saharan Africa: Challenges and Opportunities for Effective Management of Infectious Disease Epidemics

2020 ◽  
Author(s):  
Irene Mremi ◽  
Janeth George ◽  
Susan F. Rumisha ◽  
Calvin Sindato ◽  
Leonard E.G. Mboera ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Health Information ◽  
Disease Surveillance ◽  
Sub Saharan Africa ◽  
Health Management Information System ◽  
Support Functions ◽  
Surveillance And Response ◽  
Sub Saharan ◽  
Disease Epidemics

Abstract Background: Public health surveillance requires valid, timely and complete health information for early detection of outbreaks. Countries in Sub-Saharan Africa (SSA) adopted the Integrated Disease Surveillance and Response (IDSR) strategy in 1998 in response to an increased frequency of emerging and re-emerging diseases in the region. This systematic review aimed to analyse how IDSR implementation has embraced advancement in information technology, big data analytics techniques and wealth of data sources to strengthen detection and management of infectious disease epidemics in SSA. Methods: Three databases were searched for eligible articles: HINARI, PubMed, and advanced Google Scholar databases. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols checklist. A total of 1,809 articles were identified using key descriptors and screened at two stages, and 45 studies met the inclusion criteria for detailed review.Results: Of the 45 studies, 35 were country-specific, seven studies covered the region, and three studies covered 3-4 countries. A total of 24 studies assessed the IDSR core functions, while 42 studies evaluated the support functions. Twenty-three studies addressed both the core and support functions. Most of the studies involved Tanzania (9), Ghana (6) and Uganda (5). The implementation of the IDSR strategy has shown improvements, mainly in the support functions. The Health Management Information System (HMIS) has remained the main source of IDSR data. However, the HMIS system is characterised by inadequate data completeness, timeliness, quality, analysis and utilisation as well as lack of integration of data from sources other than health care facilities. Conclusion: In most SSA, HMIS is the main source of IDSR data, characterised by incompleteness, inconsistency and inaccuracy. This data is considered to be biased and reflects only the population seeking care from healthcare facilities. Community-based event-based surveillance is weak and non-existence in the majority of the countries. Data from other systems are not effectively utilised and integrated for surveillance. It is recommended that SSA countries consider and adopt multi-sectoral, multi-disease and multi-indicator platforms that integrate the existing surveillance systems with other sources of health information to provide support to effective detection and prompt response to public health threats.

scholarly journals Twenty Years of Integrated Disease Surveillance and Response in Sub-Saharan Africa: Challenges and Opportunities for Effective Management of Infectious Disease Epidemics

2020 ◽  
Author(s):  
Irene Mremi ◽  
Janeth George ◽  
Susan F. Rumisha ◽  
Calvin Sindato ◽  
Leonard E.G. Mboera ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Health Information ◽  
Disease Surveillance ◽  
Sub Saharan Africa ◽  
Health Management Information System ◽  
Support Functions ◽  
Surveillance And Response ◽  
Sub Saharan ◽  
Disease Epidemics

Abstract Background: Public health surveillance requires valid, timely and complete health information for early detection of outbreaks. Countries in Sub-Saharan Africa (SSA) adopted Integrated Disease Surveillance and Response (IDSR) strategy in 1998 in response to an increased frequency of emerging and re-emerging diseases in the region. This systematic review aimed to analyse how IDSR implementation has embraced advancement in information technology, big data analytics techniques and wealth of data sources to strengthen detection and management of infectious disease epidemics in SSA. Methods: A search for eligible articles was done through HINARI, PubMed, and advanced Google Scholar databases. The review followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols checklist. Using the key search descriptors, 1,809 articles were identified and screened at two stages and 45 studies met the inclusion criteria for detailed review.Results: Of the 45 studies, 35 were country-specific, seven studies covered the region and three studies covered 3-4 countries. A total of 24 studies assessed the IDSR core functions while 42 studies assessed the support functions. Twenty-three studies addressed both the core and support functions. Most of the studies involved Tanzania (9), Ghana (6) and Uganda (5). The implementation of the IDSR strategy has shown improvements mainly in the support functions. The Health Management Information System (HMIS) has remained the main source of IDSR data. However, the HMIS system is characterised by inadequate data completeness, timeliness, quality, analysis and utilisation as well as lack of integration of data from sources other than health care facilities. Conclusion: In most SSA, HMIS is the main source of IDSR data, characterised by incompleteness, inconsistency and inaccuracy. This data is considered to be biased and reflects only the population seeking care from healthcare facilities. Community-based event-based surveillance is weak and non-existence in the majority of the countries. Data from other systems are not effectively utilized and integrated for surveillance. It is recommended that SSA countries consider and adopt multi-sectoral, multi-disease and multi-indicator platforms that integrate the existing surveillance systems with other sources of health information to provide support to effective detection and prompt response to public health threats.

scholarly journals Twenty years of integrated disease surveillance and response in Sub-Saharan Africa: challenges and opportunities for effective management of infectious disease epidemics

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Irene R. Mremi ◽  
Janeth George ◽  
Susan F. Rumisha ◽  
Calvin Sindato ◽  
Sharadhuli I. Kimera ◽  
...  
Keyword(s):  
Big Data ◽  
Disease Surveillance ◽  
Primary Source ◽  
Health Care Facilities ◽  
Sub Saharan Africa ◽  
Quality Analysis ◽  
Health Management Information System ◽  
Support Functions ◽  
Surveillance And Response ◽  
Sub Saharan

Abstract Introduction This systematic review aimed to analyse the performance of the Integrated Disease Surveillance and Response (IDSR) strategy in Sub-Saharan Africa (SSA) and how its implementation has embraced advancement in information technology, big data analytics techniques and wealth of data sources. Methods HINARI, PubMed, and advanced Google Scholar databases were searched for eligible articles. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols. Results A total of 1,809 articles were identified and screened at two stages. Forty-five studies met the inclusion criteria, of which 35 were country-specific, seven covered the SSA region, and three covered 3–4 countries. Twenty-six studies assessed the IDSR core functions, 43 the support functions, while 24 addressed both functions. Most of the studies involved Tanzania (9), Ghana (6) and Uganda (5). The routine Health Management Information System (HMIS), which collects data from health care facilities, has remained the primary source of IDSR data. However, the system is characterised by inadequate data completeness, timeliness, quality, analysis and utilisation, and lack of integration of data from other sources. Under-use of advanced and big data analytical technologies in performing disease surveillance and relating multiple indicators minimises the optimisation of clinical and practice evidence-based decision-making. Conclusions This review indicates that most countries in SSA rely mainly on traditional indicator-based disease surveillance utilising data from healthcare facilities with limited use of data from other sources. It is high time that SSA countries consider and adopt multi-sectoral, multi-disease and multi-indicator platforms that integrate other sources of health information to provide support to effective detection and prompt response to public health threats.

scholarly journals Assessment of the core and support functions of the integrated disease surveillance and response system in Zanzibar, Tanzania

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fatma Saleh ◽  
Jovin Kitau ◽  
Flemming Konradsen ◽  
Leonard E. G. Mboera ◽  
Karin L. Schiøler
Keyword(s):  
Infectious Disease ◽  
Early Detection ◽  
Disease Surveillance ◽  
Health Facilities ◽  
Outbreak Detection ◽  
World Health ◽  
Support Functions ◽  
The Core ◽  
Surveillance And Response ◽  
Facility Level

Abstract Background Disease surveillance is a cornerstone of outbreak detection and control. Evaluation of a disease surveillance system is important to ensure its performance over time. The aim of this study was to assess the performance of the core and support functions of the Zanzibar integrated disease surveillance and response (IDSR) system to determine its capacity for early detection of and response to infectious disease outbreaks. Methods This cross-sectional descriptive study involved 10 districts of Zanzibar and 45 public and private health facilities. A mixed-methods approach was used to collect data. This included document review, observations and interviews with surveillance personnel using a modified World Health Organization generic questionnaire for assessing national disease surveillance systems. Results The performance of the IDSR system in Zanzibar was suboptimal particularly with respect to early detection of epidemics. Weak laboratory capacity at all levels greatly hampered detection and confirmation of cases and outbreaks. None of the health facilities or laboratories could confirm all priority infectious diseases outlined in the Zanzibar IDSR guidelines. Data reporting was weakest at facility level, while data analysis was inadequate at all levels (facility, district and national). The performance of epidemic preparedness and response was generally unsatisfactory despite availability of rapid response teams and budget lines for epidemics in each district. The support functions (supervision, training, laboratory, communication and coordination, human resources, logistic support) were inadequate particularly at the facility level. Conclusions The IDSR system in Zanzibar is weak and inadequate for early detection and response to infectious disease epidemics. The performance of both core and support functions are hampered by several factors including inadequate human and material resources as well as lack of motivation for IDSR implementation within the healthcare delivery system. In the face of emerging epidemics, strengthening of the IDSR system, including allocation of adequate resources, should be a priority in order to safeguard human health and economic stability across the archipelago of Zanzibar.

scholarly journals Level and Predicators of quality of Integrated Disease Surveillance and Response for Infectious Disease in Tigray, Northern Ethiopia: Cross-Sectional Study

2020 ◽  
Author(s):  
Kiros Fenta Ajemu ◽  
Abraham Aregay Desta ◽  
Nega Mamo Bezabih ◽  
Alemnesh Abraha Araya ◽  
Essayas Haregot Hilawi
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Service Quality ◽  
Disease Surveillance ◽  
Qualitative Data ◽  
Health Facilities ◽  
Northern Ethiopia ◽  
Cross Sectional ◽  
Surveillance And Response

Abstract Background: The health impacts of recent global infectious disease outbreaks have demonstrated the importance of strengthening public health systems. The aim of the study was to assess the level of quality of integrated disease surveillance and response for infectious disease in public health facilities of Tigray, Northern Ethiopia. Methods: the study was facility based cross-sectional. It was conducted from June- July 2018 in 46 health facilities. It has involved mixed method approach both quantitative and qualitative data collection methods. Donabedian input-process-output quality assessment model was used to evaluate the service. The magnitude of the association was considered at p-value of ≤0.05 in multivariable logistic regression analysis using adjusted odds ratio (AOR) at 95% confidence interval (CI). Concurrently, facility surveillance officers were subjected to an in-depth interview autonomously to explore factors for good and bad service quality. Quantitative data were analyzed using SPSS version 21. Use of manual thematic approach was used for qualitative data analysis. Result: The level of the overall quality of IDSR service provision has rendered as good in 6 out of 46(13%) studied health facilities. Two third of studied health facilities were rated as good for input service quality but 34.7% for process service quality. The output service quality was two times better than the overall service quality. Being enrollment of HIT to rapid response team (AOR=7, 95% CI: 1.092- 37.857) and accessing technical guideline to the health facility (AOR=3, 95% CI: 0.399-22.567) were predictor factors for facilitating overall service quality.

Integrating technology and data in public health disease surveillance in Africa: case study of the AVADAR program (Preprint)

2021 ◽  
Author(s):  
Chinedu Ejike Anarado ◽  
Loveth Metiboba ◽  
Faye Simmonds ◽  
Tope Falodun
Keyword(s):  
Public Health ◽  
Disease Surveillance ◽  
Data Gathering ◽  
Sub Saharan Africa ◽  
Surveillance Systems ◽  
Wild Poliovirus ◽  
Timely Response ◽  
Sub Saharan ◽  
Traditional Surveillance

BACKGROUND Sub-saharan Africa, Afghanistan and Pakistan are the last frontiers with the prevalence of wild poliovirus (WPV). Following joint efforts and partnerships some of which were instituted in the last 20 years, Africa was declared free of WPV in August 2020. While efforts now focus on eliminating circulating vaccine derived poliovirus (cVDPV), it is important to review some of the interventions that resulted in a polio-free certification for the continent. OBJECTIVE The Auto-visual AFP detection and response (AVADAR) program was one of such interventions. AVADAR helped with a more focused, technology and data driven campaign, to ensure that surveillance was broad, inclusive, and responsive. With the infusion of mobile health technology, the project became a success as it reported, investigated and confirmed more cases of AFP compared to the existing traditional surveillance systems. This study attempts a review of the AVADAR intervention with a view to understand the role played by technology and data. METHODS This study comparatively reviewed the data generated over a three year period, across nine countries where the AVADAR project was implemented. It sought to understand how AVADAR was an improvement over traditional surveillance systems. RESULTS The AVADAR program confirmed more reported AFP cases, when compared with the traditional (paper-based) system. It was found that more true AFP cases were found through the AVADAR system. AVADAR accounted for 76% of cases reported across eight countries. CONCLUSIONS Evidently, data and technology - in this case - the AVADAR tool, addressed most of the challenges of Public Health Surveillance in the target countries. The challenge of erratic surveillance data gathering, and feedback was reduced as the AVADAR program demonstrated coordinated data gathering, active case search, timely response to alerts, and ultimately, improved confirmation of true cases. It contributes lessons that could be useful in enhancing surveillance systems across the developing world particularly in Africa.

Crowdsourcing Covid-19 signals in sub-Saharan Africa: Leveraging digital contributor networks for participatory surveillance of Covid-19 symptoms and deaths (Preprint)

2020 ◽  
Author(s):  
Ngozi A Erondu ◽  
Sagal A Ali ◽  
Mohamed Ali ◽  
Schadrac C Agbla
Keyword(s):  
Public Health ◽  
Sub Saharan Africa ◽  
Specific Information ◽  
Surveillance Systems ◽  
Health Seeking ◽  
African Countries ◽  
Cross Sectional Survey ◽  
Local Networks ◽  
The World ◽  
Sub Saharan

BACKGROUND In sub-Saharan Africa, underreporting of cases and deaths has been attributed to various factors including, weak disease surveillance, low health-seeking behaviour of flu like symptoms, and stigma of Covid-19. There is evidence that SARS-CoV-2 spread mimics transmission patterns of other countries across the world. Since the Covid-19 pandemic has changed the way research can be conducted and in light of restrictions on travel and risks to in-person data collection, innovative approaches to collecting data must be considered. Nearly 50% of Africa’s population is a unique mobile subscriber and it is one of the fastest growing smart-phone marketplaces in the world; hence, mobile phone platforms should be considered to monitor Covid-19 trends in the community. OBJECTIVE We demonstrate the use of digital contributor platforms to survey individuals about cases of flu-like symptoms and instances of unexplained deaths in Ethiopia, Kenya, Nigeria, Somalia, and Zimbabwe. METHODS Rapid cross-sectional survey of individuals with severe flu and pneumonia symptoms and unexplained deaths in Ethiopia, Kenya, Nigeria, Somalia and Zimbabwe RESULTS Using a non-health specific information platform, we found COVID-19 signals in five African countries, specifically: •Across countries, nearly half of the respondents (n=739) knew someone who had severe flu or pneumonia symptoms in recent months. •One in three respondents from Somalia and one in five from Zimbabwe respondents said they knew more than five people recently displaying flu and/or pneumonia symptoms. •In Somalia there were signals that a large number of people might be dying outside of health facilities, specifically in their homes or in IDP or refugee camps. CONCLUSIONS Existing digital contributor platforms with local networks are a non-traditional data source that can provide information from the community to supplement traditional government surveillance systems and academic surveys. We demonstrate that using these distributor networks to for community surveys can provide periodic information on rumours but could also be used to capture local sentiment to inform public health decision-making; for example, these insights could be useful to inform strategies to increase confidence in Covid19 vaccine. As Covid-19 continues to spread somewhat silently across sub-Saharan Africa, regional and national public health entities should consider expanding event-based surveillance sources to include these systems.

scholarly journals COVID-19 pandemic: the implications of the natural history, challenges of diagnosis and management for care in sub-Saharan Africa

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Lawrence Omo-Aghoja ◽  
Emuesiri Goodies Moke ◽  
Kenneth Kelechi Anachuna ◽  
Adrian Itivere Omogbiya ◽  
Emuesiri Kohworho Umukoro ◽  
...  
Keyword(s):  
Public Health ◽  
Natural History ◽  
Low Income ◽  
Sub Saharan Africa ◽  
Low Income Countries ◽  
Diagnosis And Management ◽  
Severe Acute Respiratory Infection ◽  
Identification Technique ◽  
Sub Saharan ◽  
Policies And Programs

Abstract Background Coronavirus disease (COVID-19) is a severe acute respiratory infection which has afflicted virtually almost all nations of the earth. It is highly transmissible and represents one of the most serious pandemics in recent times, with the capacity to overwhelm any healthcare system and cause morbidity and fatality. Main content The diagnosis of this disease is daunting and challenging as it is dependent on emerging clinical symptomatology that continues to increase and change very rapidly. The definitive test is the very expensive and scarce polymerase chain reaction (PCR) viral identification technique. The management has remained largely supportive and empirical, as there are no officially approved therapeutic agents, vaccines or antiviral medications for the management of the disease. Severe cases often require intensive care facilities and personnel. Yet there is paucity of facilities including the personnel required for diagnosis and treatment of COVID-19 in sub-Saharan Africa (SSA). It is against this backdrop that a review of key published reports on the pandemic in SSA and globally is made, as understanding the natural history of a disease and the documented responses to diagnosis and management is usually a key public health strategy for designing and improving as appropriate, relevant interventions. Lead findings were that responses by most nations of SSA were adhoc, paucity of public health awareness strategies and absence of legislations that would help enforce preventive measures, as well as limited facilities (including personal protective equipment) and institutional capacities to deliver needed interventions. Conclusion COVID-19 is real and has overwhelmed global health care system especially low-income countries of the sub-Sahara such as Nigeria. Suggestions for improvement of healthcare policies and programs to contain the current pandemic and to respond more optimally in case of future pandemics are made herein.

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