Innovative approach to monitor performance of integrated disease surveillance and response after the Ebola outbreak in Sierra Leone: lessons from the field.

BACKGROUND: Supervision of healthcare workers improves performance if done in a supportive and objective manner. Regular supervision is a support function of Integrated Disease Surveillance and Response (IDSR) strategy and allows systematic monitoring of IDSR implementation. Starting 2015, WHO and other development partners supported the Ministry of Health and Sanitation (MoHS) to revitalize IDSR in Sierra Leone and to monitor progress through supportive supervision assessments. We report on the findings of these assessments. METHODS: This was a cross-sectional study where six longitudinal assessments were conducted in randomly selected health facilities. Health facilities assessed were 71 in February 2016, 99 in July 2016, 101 in May 2017, 126 in August 2018, 139 in February 2019 and 156 in August 2021. An electronic checklist based on selected core functions of IDSR was developed and uploaded onto tablets using the Open Data Kit (ODK) platform. Supervision teams interviewed health care workers, reviewed documents and made observations in health facilities. Supervision books were used to record feedback and corrective actions. Data from the supervisory visits was downloaded from ODK platform, cleaned and analysed. Categorical data was summarized using frequencies and proportions while means and medians were used for continuous variables. Z test was used to test for differences in proportions. RESULTS: Completeness of IDSR reporting improved from 84.5% in 2016 to 96% in 2021 (11.5% points; 95% CI 3.6, 21.9; P-value 0.003). Timeliness of IDSR reports improved from 80.3 to 92% (11.7% points; 95% CI 2.4, 22.9; P-value 0.01). There was significant improvement in health worker knowledge of IDSR concepts and tools, in availability of IDSR standard case definition posters and reporting tools and in data analysis practices. Availability of vaccines and temperature monitoring tools in health facilities also improved significantly but some indicators dropped such as availability of IDSR technical guidelines and malaria testing kits and drugs. CONCLUSION: Supervision using electronic tool contributed to health systems strengthening through longitudinal tracking of core IDSR indicators and other program indicators such as essential malaria commodities and availability and status of routine vaccines. Supervision using electronic tools should be extended to other programs.

Spatial and temporal distribution of infectious disease epidemics, disasters and other potential public health emergencies in the World Health Organisation Africa region, 2016-2018.

BACKGROUND: Emerging and re-emerging diseases with pandemic potential continue to challenge fragile health systems in Africa, creating enormous human and economic toll. To provide evidence for the investment case for public health emergency preparedness, we analysed the spatial and temporal distribution of epidemics, disasters and other potential public health emergencies in the WHO African region between 2016 and 2018. METHODS: We abstracted data from several sources, including: the WHO African Region's weekly bulletins on epidemics and emergencies, the WHO-Disease Outbreak News (DON) and the Emergency Events Database (EM-DAT) of the Centre for Research on the Epidemiology of Disasters (CRED). Other sources were: the Program for Monitoring Emerging Diseases (ProMED) and the Global Infectious Disease and Epidemiology Network (GIDEON). We included information on the time and location of the event, the number of cases and deaths and counter-checked the different data sources. DATA ANALYSIS: We used bubble plots for temporal analysis and generated graphs and maps showing the frequency and distribution of each event. Based on the frequency of events, we categorised countries into three: Tier 1, 10 or more events, Tier 2, 5-9 events, and Tier 3, less than 5 or no event. Finally, we compared the event frequencies to a summary International Health Regulations (IHR) index generated from the IHR technical area scores of the 2018 annual reports. RESULTS: Over 260 events were identified between 2016 and 2018. Forty-one countries (87%) had at least one epidemic between 2016 and 2018, and 21 of them (45%) had at least one epidemic annually. Twenty-two countries (47%) had disasters/humanitarian crises. Seven countries (the epicentres) experienced over 10 events and all of them had limited or developing IHR capacities. The top five causes of epidemics were: Cholera, Measles, Viral Haemorrhagic Diseases, Malaria and Meningitis. CONCLUSIONS: The frequent and widespread occurrence of epidemics and disasters in Africa is a clarion call for investing in preparedness. While strengthening preparedness should be guided by global frameworks, it is the responsibility of each government to finance country specific needs. We call upon all African countries to establish governance and predictable financing mechanisms for IHR implementation and to build resilient health systems everywhere.

Design thinking during a health emergency: building a national data collection and reporting system.

BACKGROUND: Design thinking allows challenging problems to be redefined in order to identify alternative user-center strategies and solutions. To address the many challenges associated with collecting and reporting data during the 2014 Ebola outbreak in Guinea, Liberia and Sierra Leone, we used a design thinking approach to build the Global Ebola Laboratory Data collection and reporting system. MAIN TEXT: We used the five-stage Design Thinking model proposed by Hasso-Plattner Institute of Design at Stanford in Guinea, Liberia and Sierra Leone. This approach offers a flexible model which focuses on empathizing, defining, ideating, prototyping, and testing. A strong focus of the methodology includes end-users' feedback from the beginning to the end of the process. This is an iterative methodology that continues to adapt according to the needs of the system. The stages do not need to be sequential and can be run in parallel, out of order, and repeated as necessary. Design thinking was used to develop a data collection and reporting system, which contains all laboratory data from the three countries during one of the most complicated multi-country outbreaks to date. The data collection and reporting system was used to orient the response interventions at the district, national, and international levels within the three countries including generating situation reports, monitoring the epidemiological and operational situations, providing forecasts of the epidemic, and supporting Ebola-related research and the Ebola National Survivors programs within each country. CONCLUSIONS: Our study demonstrates the numerous benefits that arise when using a design thinking methodology during an outbreak to solve acute challenges within the national health information system and the authors recommend it's use during future complex outbreaks.

A rapid assessment of the implementation of integrated disease surveillance and response system in Northeast Nigeria, 2017.

BACKGROUND: Integrated disease surveillance and response (IDSR) is the strategy adopted for public health surveillance in Nigeria. IDSR has been operational in Nigeria since 2001 but the functionality varies from state to state. The outbreaks of cerebrospinal meningitis and cholera in 2017 indicated weakness in the functionality of the system. A rapid assessment of the IDSR was conducted in three northeastern states to identify and address gaps to strengthen the system. METHOD: The survey was conducted at the state and local government areas using standard IDSR assessment tools which were adapted to the Nigerian context. Checklists were used to extract data from reports and records on resources and tools for implementation of IDSR. Questionnaires were used to interview respondents on their capacities to implement IDSR. Quantitative data were entered into an MS Excel spreadsheet, analysed and presented in proportions. Qualitative data were summarised and reported by thematic area. RESULTS: A total of 34 respondents participated in the rapid survey from six health facilities and six local government areas (LGAs). Of the 2598 health facilities in the three states, only 606 (23%) were involved in reporting IDSR. The standard case definitions were available in all state and LGA offices and health facilities visited. Only 41 (63%) and 31 (47.7%) of the LGAs in the three states had rapid response teams and epidemic preparedness and response committees respectively. The Disease Surveillance and Notification Officers (DSNOs) and clinicians' knowledge were limited to only timeliness and completeness among over 10 core indicators for IDSR. Review of the facility registers revealed many missing variables; the commonly missed variables were patients' age, sex, diagnosis and laboratory results. CONCLUSIONS: The major gaps were poor documentation of patients' data in the facility registers, inadequate reporting tools, limited participation of health facilities in IDSR and limited capacities of personnel to identify, report IDSR priority diseases, analyze and interpret IDSR data for decision making. Training of surveillance focal persons, provision of IDSR reporting tools and effective supportive supervisions will strengthen the system in the country.

Institutionalized data quality assessments: a critical pathway to improving the accuracy of integrated disease surveillance data in Sierra Leone.

BACKGROUND: Public health agencies require valid, timely and complete health information for early detection of outbreaks. Towards the end of the Ebola Virus Disease (EVD) outbreak in 2015, the Ministry of Health and Sanitation (MoHS), Sierra Leone revitalized the Integrated Disease Surveillance and Response System (IDSR). Data quality assessments were conducted to monitor accuracy of IDSR data. METHODS: Starting 2016, data quality assessments (DQA) were conducted in randomly selected health facilities. Structured electronic checklist was used to interview district health management teams (DHMT) and health facility staff. We used malaria data, to assess data accuracy, as malaria was endemic in Sierra Leone. Verification factors (VF) calculated as the ratio of confirmed malaria cases recorded in health facility registers to the number of malaria cases in the national health information database, were used to assess data accuracy. Allowing a 5% margin of error, VF < 95% were considered over reporting while VF > 105 was underreporting. Differences in the proportion of accurate reports at baseline and subsequent assessments were compared using Z-test for two proportions. RESULTS: Between 2016 and 2018, four DQA were conducted in 444 health facilities where 1729 IDSR reports were reviewed. Registers and IDSR technical guidelines were available in health facilities and health care workers were conversant with reporting requirements. Overall data accuracy improved from over- reporting of 4.7% (VF 95.3%) in 2016 to under-reporting of 0.2% (VF 100.2%) in 2018. Compared to 2016, proportion of accurate IDSR reports increased by 14.8% (95% CI 7.2, 22.3%) in May 2017 and 19.5% (95% CI 12.5-26.5%) by 2018. Over reporting was more common in private clinics and not- for profit facilities while under-reporting was more common in lower level government health facilities. Leading reasons for data discrepancies included counting errors in 358 (80.6%) health facilities and missing source documents in 47 (10.6%) health facilities. CONCLUSION: This is the first attempt to institutionalize routine monitoring of IDSR data quality in Sierra Leone. Regular data quality assessments may have contributed to improved data accuracy over time. Data compilation errors accounted for most discrepancies and should be minimized to improve accuracy of IDSR data.

Healthcare workers' experiences regarding scaling up of training on integrated disease surveillance and response (IDSR) in Uganda, 2016: cross sectional qualitative study.

BACKGROUND: The Integrated Disease Surveillance and Response (IDSR) strategy was adopted as the framework for implementation of International Health Regulation (2005) in the African region of World Health Organisation (WHO AFRO). While earlier studies documented gains in performance of core IDSR functions, Uganda still faces challenges due to infectious diseases. IDSR revitalisation programme aimed to improve prevention, early detection, and prompt response to disease outbreaks. However, little is known about health worker's perception of the revitalised IDSR training. METHODS: We conducted focus group discussions of health workers who were trained between 2015 and 2016. Discussions on benefits, challenges and possible solutions for improvement of IDSR training were recorded, transcribed, translated and coded using grounded theory. RESULTS: In total, 22/26 FGDs were conducted. Participants cited improved completeness and timeliness of reporting, case detection and data analysis and better response to disease outbreaks as key achievements after the training. Programme challenges included an inadequate number of trained staff, funding, irregular supervision, high turnover of trained health workers, and lack of key logistics. Suggestions to improve IDSR included pre-service and community training, mentorship, regular supervision and improving funding at the district level. CONCLUSION: Health workers perceived that scaling up revitalized IDSR training in Uganda improved public health surveillance. However, they acknowledge encountering challenges that hinder their performance after the training. Ministry of Health should have a mentorship plan, integrate IDSR training in pre-service curricula and advocate for funding IDSR activities to address some of the gaps highlighted in this study.

Genetic characterization of influenza B virus in Cameroon and high frequency of reassortant strains.

Influenza B is broadly divided into B/Victoria and B/Yamagata lineages based on its genetic and antigenic properties. We describe in this study the first report on genome characterization of type B influenza virus in the Cameroon National Influenza Center (NIC) between 2014 and 2017. Respiratory samples were collected as part of the influenza surveillance activity in the NIC. RNA products were tested for the presence of influenza using the CDC Influenza A/B typing panel. Thirty-five samples positive for influenza B were selected for sequencing three gene segments (HA, NA, and M) and phylogenetic trees were generated by MEGA version 6.0. Nucleotide phylogenetic analysis of the HA gene revealed the presence of three major clades among Cameroonian strains. All Victoria lineages grouped into B/Victoria clade 1A, while, Yamagata lineages grouped into Yamagata clade 2 (2014 strains) and Yamagata clade 3 (2015-2017). We observed a high frequency of reassortant viruses with Yamagata-like HA gene and Victoria-like NA gene (27.4%; 23/84). The results from this study confirm variations in the genome composition of type B influenza virus and emphasize on the relevance of molecular surveillance for spotting peculiar genetic variants of public health and clinical significance.

Revision of clinical case definitions: influenza-like illness and severe acute respiratory infection.

The formulation of accurate clinical case definitions is an integral part of an effective process of public health surveillance. Although such definitions should, ideally, be based on a standardized and fixed collection of defining criteria, they often require revision to reflect new knowledge of the condition involved and improvements in diagnostic testing. Optimal case definitions also need to have a balance of sensitivity and specificity that reflects their intended use. After the 2009-2010 H1N1 influenza pandemic, the World Health Organization (WHO) initiated a technical consultation on global influenza surveillance. This prompted improvements in the sensitivity and specificity of the case definition for influenza - i.e. a respiratory disease that lacks uniquely defining symptomology. The revision process not only modified the definition of influenza-like illness, to include a simplified list of the criteria shown to be most predictive of influenza infection, but also clarified the language used for the definition, to enhance interpretability. To capture severe cases of influenza that required hospitalization, a new case definition was also developed for severe acute respiratory infection in all age groups. The new definitions have been found to capture more cases without compromising specificity. Despite the challenge still posed in the clinical separation of influenza from other respiratory infections, the global use of the new WHO case definitions should help determine global trends in the characteristics and transmission of influenza viruses and the associated disease burden.

La formulation de définitions précises de cas cliniques fait partie intégrante d'un processus efficace de surveillance de la santé publique. Alors que ces définitions devraient, dans l'idéal, s'appuyer sur un ensemble standardisé et fixe de critères de définition, elles nécessitent souvent une révision pour tenir compte des nouvelles connaissances relatives à la maladie concernée et des améliorations apportées aux tests diagnostiques. Pour être optimales, les définitions de cas doivent aussi établir un équilibre entre sensibilité et spécificité qui reflète leur utilisation aux fins prévues. À la suite de la pandémie de grippe H1N1 de 2009-2010, l'Organisation mondiale de la Santé (OMS) a lancé une consultation technique sur la surveillance mondiale de la grippe. Cela a conduit à des améliorations concernant la sensibilité et la spécificité de la définition de cas pour la grippe ­ c'est-à-dire une maladie respiratoire dont seule la symptomatologie reste à définir. Le processus de révision n'a pas seulement modifié la définition du syndrome de type grippal pour inclure une liste simplifiée des critères le mieux à même de prédire une infection grippale, il a également permis de clarifier le langage utilisé dans la définition pour en améliorer l'interprétation. Par ailleurs, afin de tenir compte des cas sévères de grippe qui nécessitaient une hospitalisation, une nouvelle définition de cas a été introduite concernant l'infection aigüe sévère des voies respiratoires dans tous les groupes d'âge. Il a été constaté que les nouvelles définitions reflétaient davantage de cas, sans pour autant compromettre la spécificité. S'il est vrai que la distinction clinique de la grippe des autres infections respiratoires continue de poser problème, l'utilisation mondiale des nouvelles définitions de cas de l'OMS devrait permettre de dégager des tendances mondiales concernant les caractéristiques et la transmission des virus grippaux ainsi que la charge de morbidité qui leur est associée.

La elaboración de definiciones precisas de los casos clínicos es una parte fundamental de un proceso efectivo de la vigilancia de la salud pública. Aunque tales definiciones deberían, idealmente, estar basadas en una recopilación estandarizada y fija de criterios de definición, a menudo necesitan una revisión para reflejar el nuevo conocimiento de la enfermedad existente y las mejoras en las pruebas de diagnóstico. Las definiciones óptimas de los casos también deben tener un equilibrio entre sensibilidad y especificidad que refleje su uso previsto. Después de la pandemia de gripe H1N1 en 2009-2010, la Organización Mundial de la Salud (OMS) inició una consulta técnica para la vigilancia mundial de la gripe. Esto dio lugar a mejoras en la sensibilidad y la especificidad de las definiciones de los casos de gripe, es decir, una enfermedad respiratoria que carece de una sintomatología definitoria singular. El proceso de revisión no solo modificó la definición de las enfermedades similares a la gripe para incluir una lista simplificada de los criterios que demostraron ser más predictivos de la infección por gripe, sino que también aclaró el lenguaje utilizado para la definición, con el fin de mejorar su interpretación. Para englobar los casos graves de gripe que requirieron hospitalización, también se desarrolló una nueva definición de los casos de la infección respiratoria aguda grave en todos los grupos de edad. Se ha descubierto que las nuevas definiciones engloban más casos sin comprometer la especificidad. A pesar del desafío que todavía plantea la separación clínica de la gripe de otras infecciones respiratorias, el uso global de las nuevas definiciones de los casos de la OMS debería ayudar a determinar las tendencias mundiales en las características y transmisión de los virus de la gripe y la carga de la enfermedad asociada.

Development, Use, and Impact of a Global Laboratory Database During the 2014 Ebola Outbreak in West Africa.

Background: The international impact, rapid widespread transmission, and reporting delays during the 2014 Ebola outbreak in West Africa highlighted the need for a global, centralized database to inform outbreak response. The World Health Organization and Emerging and Dangerous Pathogens Laboratory Network addressed this need by supporting the development of a global laboratory database. Methods: Specimens were collected in the affected countries from patients and dead bodies meeting the case definitions for Ebola virus disease. Test results were entered in nationally standardized spreadsheets and consolidated onto a central server. Results: From March 2014 through August 2016, 256343 specimens tested for Ebola virus disease were captured in the database. Thirty-one specimen types were collected, and a variety of diagnostic tests were performed. Regular analysis of data described the functionality of laboratory and response systems, positivity rates, and the geographic distribution of specimens. Conclusion: With data standardization and end user buy-in, the collection and analysis of large amounts of data with multiple stakeholders and collaborators across various user-access levels was made possible and contributed to outbreak response needs. The usefulness and value of a multifunctional global laboratory database is far reaching, with uses including virtual biobanking, disease forecasting, and adaption to other disease outbreaks.

Strengthening laboratory capacity through the surveillance of rotavirus gastroenteritis in Central Africa: the Surveillance Épidémiologique en Afrique Centrale (SURVAC) Project.

OBJECTIVES: The goal of the SURVAC pilot project was to strengthen disease surveillance and response in three countries; Cameroon (CAE), Democratic Republic of the Congo (DRC) and Central African Republic (CAR). METHODS: Seven laboratories involved in rotavirus surveillance were provided with equipment, reagents and supplies. CDC and WHO staff provided on-site classroom and bench training in biosafety, quality assurance, quality control (QC), rotavirus diagnosis using Enzyme Immunoassay (EIA) and genotyping of rotavirus strains using the Reverse Transcription Polymerase-chain reaction (RT-PCR). All laboratory data were reported through WHO/AFRO. RESULTS: Twenty-three staff members were trained on RT-PCR for rotavirus genotyping which was introduced for the first time in all three countries. In CAE, the number of samples analysed by EIA and RT-PCR increased tenfold between 2007 and 2013. In DRC, this number increased fivefold, from 2009 to 2013 whereas in CAR, it increased fourfold between 2011 and 2013. All laboratories passed WHO proficiency testing in 2014. CONCLUSION: Laboratory capacity was strengthened through equipping laboratories and strengthening a subregional laboratory workforce for surveillance of rotavirus gastroenteritis. Each of the three countries generated rotavirus surveillance and genotyping data enabling the mapping of circulating genotypes. These results will help monitor the impact of rotavirus vaccination in these countries.