Evaluation of the Kano State Lassa Fever Surveillance System, 2015-2018 – Nigeria

BackgroundLassa fever (LF) is one of the priority diseases under surveillance through the integrated disease surveillance and response system (IDSR). We evaluated the LF surveillance system against its set objectives and assessed its attributes. MethodsWe used cross-sectional study design. Forty-seven stakeholders involved in the surveillance system were interviewed using the Centers for Disease Control and Prevention’s Updated Guidelines for Evaluating Public Health Surveillance Systems. The LF surveillance data from January 2015 to December 2018 were also analyzed. The attribute and objectives of the system were evaluated. ResultsOut of the 76 suspected cases recorded in kano state during the study period, only 54 samples were laboratory tested, 11 of them were confirmed positive with 9 deaths (case fatality rate of 82%). Confirmed cases were predominantly in Tudun Wada LGA (63.6%), while the age-group 20-39 years constituted 55% of the confirmed cases. There was male preponderance of cases (73%). The predictive value positive (PVP) was 14.5%. The surveillance system was however meeting its objectives of determining LF burden and detecting and characterizing cases and outbreak.ConclusionLF surveillance system in Kano was simple, flexible, stable, acceptable and timely. However, data was not representative. We recommended improved reporting from private and tertiary facilities and more personnel training and support to improve the system.

COVID-19 surveillance systems in 13 African countries

Background: Surveillance forms the basis for response to disease outbreaks, including COVID-19. Herein, we identified the COVID-19 surveillance systems and the associated challenges in 13 African countries. Methods: We conducted a comprehensive narrative review of peer-reviewed literature published between January 2020 and April 2021 in PubMed, Medline, PubMed Central, and Google Scholar using predetermined search terms. Relevant studies from the search and other data sources on COVID-19 surveillance strategies and associated challenges in 13 African countries (Mauritius, Algeria, Nigeria, Angola, Cote d’Ivoire, the Democratic Republic of the Congo, Ghana, Ethiopia, South Africa, Kenya, Zambia, Tanzania, and Uganda) were identified and reviewed. Results: Our findings revealed that the selected African countries have ramped up COVID-19 surveillance ranging from immediate case notification, virological surveillance, hospital-based surveillance to mortality surveillance among others. Despite this, there exist variations in the level of implementation of the surveillance systems across countries. Integrated Disease Surveillance and Response (IDSR) strategy is also being leveraged in some African countries, but the implementation across countries remains uneven. Our study also revealed various challenges facing surveillance which included shortage of skilled human resources resulting in poor data management, weak health systems, complexities of ethical considerations, diagnostic insufficiency, the burden of co-epidemic surveillance, and geographical barriers, among others. Conclusion: With the variations in the level of implementation of COVID-19 surveillance strategies seen across countries, it is pertinent to ensure proper coordination of the surveillance activities in the African countries and address all the challenges facing COVID-19 surveillance using tailored strategies.

Perinatal Death Surveillance and Response: A Secondary Analysis of Nepal’s Efforts

This paper presents Nepal’s experience regarding perinatal death surveillance and the country’s response in reducing preventable perinatal deaths. In developing this paper, evidence of perinatal mortality in Nepal is brought from secondary sources, mainly the assessment report of Maternal and Perinatal Death Surveillance and Response (MPDSR) system. As of 2019, this initiative has been implemented in 77 hospitals across Nepal. Challenges and barriers in implementing the MPDSR system need to be brought to attention, as the system is being scaled up to 110 hospitals. Data from the Perinatal Death Review revealed that 72% of the maternal deaths occurred during the post-partum period, due to (i) post-partum haemorrhage, (ii) hypertensive disorder, (iii) pregnancy-related infections, and (iv) non-obstetric causes. In 70% of the cases such deaths could have been prevented. Majority of perinatal deaths, at 71%, were stillbirths, mainly due to low child weight of less than 2500 grams. In conclusion, there is urgent need for the national guidelines for MPDSR system to be amended, additional and continued training provision to the health workforce, improvement in the coordination and feedback mechanism, and strengthening of the information management system. Key words: MPDSR system; Perinatal Death Review; Nepal; Perinatal Mortality; Stillbirth

Leveraging Sub-national Collaboration and Influence for Improving Animal Health Surveillance and Response: A Stakeholder Mapping in Tanzania

Animal health surveillance plays a vital role in ensuring public health, animal welfare, and sustainable food production by monitoring disease trends, early detecting (new) hazards, facilitating disease control and infection, and providing data for risk analysis. Good stakeholder collaboration across the sector can lead to better communication, better science and decision-making and more effective surveillance and response. An understanding of relevant stakeholders, their interests and their power can facilitate such collaboration. While information on key stakeholders in animal health surveillance is available at the national level in Tanzania, it is missing at the subnational level. The study aimed to explore the existing stakeholders' collaborations and influences at the subnational level through stakeholder mapping and to determine potential leverage points for improving the national animal health surveillance system. A qualitative design was used, involving consultative workshops with government animal health practitioners in Sumbawanga, Sikonge and Kilombero districts of Tanzania from December 2020 to January 2021. Data were collected using an adapted USAID stakeholder collaboration mapping tool with the following steps: (i) Define the objective (ii) Identify all stakeholders (iii) Take stock of the current relationships (iv) Determine resource-based influence (v) Determine non-resource based influence and (vi) Review and revise the collaboration map. Forty-five stakeholders were identified in all three districts and grouped into four categories: private sector and non-government organizations (n = 16), government (n = 16), community (n = 9) and political leaders (n = 4). Animal health practitioners had a stronger relationship with community stakeholders as compared to other categories. The results also showed that most of the stakeholders have non-resource-based influence compared to resource-based influence. The private sector and non-government organizations have a relatively higher number of resource-based influential stakeholders, while political leaders have more non-resource-based influence. The mapping exercise demonstrated that the system could benefit from community mobilization and sensitization, resource mobilization and expanding the horizon of surveillance data sources. Some of the leverage points include integration of surveillance activities into animal health services, clear operational processes, constant engagement, coordination and incentivization of stakeholders. The diversity in the identified stakeholders across the districts suggests that collaborations are contextual and socially constructed.

SARS-CoV-2 wildlife surveillance in Ontario and Québec, Canada

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the COVID-19 pandemic, is capable of infecting a variety of wildlife species. Wildlife living in close contact with humans are at an increased risk of SARS-CoV-2 exposure and if infected have the potential to become a reservoir for the pathogen, making control and management more difficult.ObjectiveTo conduct SARS-CoV-2 surveillance in urban wildlife from Ontario and Québec, Canada, increasing our knowledge of the epidemiology of the virus and our chances of detecting spillover from humans into wildlife.MethodsUsing a One Health approach, we leveraged activities of existing research, surveillance, and rehabilitation programs among multiple agencies to collect samples from 776 animals from 17 different wildlife species between June 2020 and May 2021. Samples from all animals were tested for the presence of SARS-CoV-2 viral RNA, and a subset of samples from 219 animals across 3 species (raccoons, Procyon lotor; striped skunks, Mephitis mephitis; and mink, Neovison vison) were also tested for the presence of neutralizing antibodies.ResultsNo evidence of SARS-CoV-2 viral RNA or neutralizing antibodies was detected in any of the tested samples.ConclusionAlthough we were unable to identify positive SARS-CoV-2 cases in wildlife, continued research and surveillance activities are critical to better understand the rapidly changing landscape of susceptible animal species. Collaboration between academic, public and animal health sectors should include experts from relevant fields to build coordinated surveillance and response capacity.

Implementation of maternal and perinatal death surveillance and response system among health facilities in Morogoro Region: a descriptive cross-sectional study

Background When used effectively, the Maternal and Perinatal Death Surveillance and Response (MPDSR) system can bring into reality a revolutionary victory in the fight against maternal and perinatal mortality from avoidable causes. This study aimed at determining the status of implementation of the system among health facilities in the Morogoro Region. Method This study was conducted among 38 health facilities from three districts of the Morogoro region, Tanzania, from April 27, 2020, to May 29, 2020. Quantitative data were collected through document review for MPDSR implementation status. The outcome was determined by using a unique scoring sheet with a total of 30 points. Facilities that scored less than 11 points were considered to be in the pre-implementation phase, those scored 11 to 17 were considered in the implementation phase, and those scored 18 to 30 were considered to be in the institutionalization phase. Results The majority 20(53 %) of health facilities were in the pre-implementation phase, only 15(40 %) of assessed health facilities were in the implementation phase, and few 3(8 %) of health facilities were in institutionalization phase. There was a strong evidence that MPDSR implementation was more advanced in urban compared to rural health facilities (Fisher’s test = 6.158, p = 0.049), hospitals compared to health centers (Fisher’s test =14.609, p <0.001) and private and faith-based organization than public facilities (Fisher’s test, 15.897 = p = 0.002). Conclusions The study revealed that health facilities in Morogoro Region have not adequately implemented the MPDSR system. The majority of health facilities in rural settings and owned by the government showed poor MPDSR implementation and hence called for immediate action to rectify the situation. Strengthen MPDSR implementation, health facilities should be encouraged to adhere to the available MPDSR guidelines in the process of death reviews. Transparent systems should also be established to ensure thorough tracking and follow-up of recommendations evolving from MPDSR reviews. Health facilities should also consider integrating MPDSR to other quality improvement teams to maximize its efficiency.

Patterns of diarrhoeal disease among under-five children in Plateau State, Nigeria, 2013–2017

Background Diarrhoea is the second commonest cause of under-five mortality accounting for over half a million deaths annually. Although the prevalence of diarrhoea in Plateau State is lower than the national figure, the level remains high despite remarkable progress in the reduction of under-five mortality. This study seeks to determine the pattern of diarrhoea disease among under-fives in Plateau State. Methods We extracted data from the Integrated Disease Surveillance and Response platform between January 2013 and December 2017 and analysed the trends of diarrhoea, age-specific case fatality rate (ASCFR), and seasonal patterns. We modelled the quarterly pattern of diarrhoea cases using additive time series and predicted the expected cases for 2018–2020. Results We documented 60,935 cases of diarrhoea with age group 12–59 months having the highest number of cases (49.3%). The age group < 1 month had the highest ASCFR of 0.53%. Seasonal variation showed cases peaked in the first and third quarters of each year, except for the year 2016. The time series projection estimated 16,256, 17,645 and 19,034 cases in the year 2018, 2019 and 2020 respectively. Conclusion Seasonal variation exists, and trends show an increased pattern of diarrhoeal disease among under-fives. There is a need to strengthen the implementation of diarrhoeal preventive and control strategy in the state and to improve the quality of data reporting.