Survey of the perceptions of key stakeholders on the attributes of the South African Notifiable Diseases Surveillance System
BMC Public Health volume 16, Article number: 1120 (2016)
An effective and efficient notifiable diseases surveillance system (NDSS) is essential for a rapid response to disease outbreaks, and the identification of priority diseases that may cause national, regional or public health emergencies of international concern (PHEICs). Regular assessments of country-based surveillance system are needed to enable countries to respond to outbreaks before they become PHEICs. As part of a broader evaluation of the NDSS in South Africa, the aim of the study was to determine the perceptions of key stakeholders on the national NDSS attributes of acceptability, flexibility, simplicity, timeliness and usefulness.
During 2015, we conducted a nationally representative cross-sectional survey of communicable diseases coordinators and surveillance officers, as well as members of NDSS committees. Individuals with less than 1 year experience of the NDSS were excluded. Consenting participants completed a self-administered questionnaire. The questionnaire elicited information on demographic information and perceptions of the NDSS attributes. Data were analysed using descriptive statistics and the unconditional logistic regression model.
Most stakeholders interviewed (53 %, 60/114) were involved in disease control and response. The median number of years of experience with the NDSS was 11 years (inter-quartile range (IQR): 5 to 20 years). Regarding the NDSS attributes, 25 % of the stakeholders perceived the system to be acceptable, 51 % to be flexible, 45 % to be timely, 61 % to be useful, and 74 % to be simple. Health management stakeholders perceived the system to be more useful and timely compared to the other stakeholders. Those with more years of experience were less likely to perceive the NDSS system as acceptable (OR 0.91, 95 % CI: 0.84–1.00, p = 0.041); those in disease detection were less likely to perceive it as timely (OR 0.10, 95 % CI: 0.01–0.96, p = 0.046) and those participating in National Outbreak Response Team were less likely to perceive it as useful (OR 0.38, 95 % CI: 0.16–0.93, p = 0.034).
The overall poor perceptions of key stakeholder on the system attributes are a cause for concern. The study findings should inform the revitalisation and reform of the NDSS in South Africa, done in consultation and partnership with the key stakeholders.
Notifiable disease surveillance systems (NDSS) in the 21st century should be capable of rapid identification of priority diseases that cause national, regional or public health emergencies of international concern (PHEIC). An effective and efficient NDSS could enhance the ability of a country to respond rapidly to outbreaks before they become PHEICs. Regular evaluations of the surveillance system are needed to ensure this capability, as well as relevance and usage by the key stakeholders. Furthermore, the PHEICs caused by the Ebola Virus Disease (EVD) outbreak from 2014 to 2016  and the 2016 Zika virus outbreak  demonstrated that the status of the NDSS in each country could impact on global health security. Hence the outcome of NDSS evaluations is of relevance to the global community.
At a global level, an independent panel appointed by the World Health Organization (WHO) in response to the EVD outbreak found that countries failed to develop International Health Regulations (IHR) surveillance core capacities . The panel also questioned the reliability of the annual mandatory self-administered IHR assessment questionnaires that are required by WHO of all member states . These findings underscore the need for objective evaluations of the NDSS at country level. Many countries have begun to use to framework developed by the Centers for Disease Control and Prevention (CDC) to evaluate their surveillance systems. 
In high-income countries in Europe  and Australasia [6, 7], evaluations of the NDSS have focused on data quality, usefulness, acceptability, timeliness, as well as the simplicity of the system. Studies in low- and middle-income countries in the Americas [8, 9], Europe , Asia , and Africa [12–14], have found that challenges with laboratories, supervision, monitoring, organisational capacity, staffing and resources impede NDSS functioning. These findings might not be relevant to South Africa as a comparative study of the NDSS in China and the USA found that differences in context, background and resource availability among countries make it difficult to generalize findings from one country to the other .
The NDSS in South Africa has been in existence since the late 1970s. The NDSS in South Africa is a paper-based system that tracks 33 medical conditions. In terms of existing legislation, all health care providers are obliged to notify these 33 conditions to their local authority, which in turn reports it to the district, district to province, and province to the NDOH (Fig. 1) . In the preceding 15 years, parallel surveillance systems have been developed for tuberculosis (TB), malaria and vaccine-preventable notifiable diseases. We could only find three evaluations of specific diseases at provincial level in South Africa [17–19]. However, there has been no systematic and objective evaluation of the NDSS at the national level or an evaluation of the NDSS since the adoption of the IHR in 2007. The need for such an evaluation  is critical, in light of health sector reforms in South Africa, which include the implementation of a National Health Insurance System  and the establishment of a National Public Health Institute . The involvement of key NDSS stakeholders in evaluations and policy development is critical to obtain their inputs and to build mutual understanding and trust. [23–25] In this paper, the term stakeholder is used to describe individuals actively involved in the NDSS, or in structures and committees set up to deal with any aspect of the NDSS in South Africa. The stakeholders include individuals involved in disease control and response; disease detection; and health management.
As part of a broader evaluation of the NDSS in South Africa, a survey was conducted among key stakeholders in South Africa on their perceptions of the NDSS attributes of acceptability, flexibility, simplicity, timeliness and usefulness.
During April and May 2015, we invited all communicable diseases coordinators, epidemiologists and surveillance officers at the National Department of Health (NDoH) and all nine provincial health departments, as well as members of the National Surveillance Forum, the South African Malaria Elimination Committee, the South African Expanded Programme on Immunisations Committee and the National and Provincial Outbreak Response Teams (NORT and PORT respectively), to participate in a cross-sectional survey. As experience is an important determinant of the perspectives of the stakeholders, we excluded those not working in a health related field and those with less than 1 year experience of the NDSS from the study.
Measurement and data collection
We developed an electronic semi-structured questionnaire (Additional file 1) using the secure, web-based Research Electronic Data Capture (REDCap), programme hosted at the University of Witwatersrand . In addition to socio- demographic information, the questionnaire elicited information on participants’ perceptions of the NDSS attributes of acceptability (the willingness of providers to participate in the NDSS), flexibility (adaptability to changing circumstances and needs), simplicity (ease of understanding of NDSS forms and processes), timeliness (the speed at which the provider takes the appropriate steps after an event came to her/his attention) and usefulness (whether the data contributes to outbreak response, or the prevention and control of communicable diseases or improved public health knowledge) .
The questionnaire consisted of one to four questions per attribute for each of the five system attributes. The questions were designed on a 7-point Likert-scale ranging from one (strongly disagree) to 7 (strongly agree). The questions were phrased in a manner that attempted to minimise an unreflective response by participants, for instance questions requiring a positive response were alternated with questions requiring negative responses so that respondents would not be tempted to continue answering all the questions using the same response. Cronbach’s alpha coefficients were calculated to determine reliability and coherence between items and ranged from 0.82 to 0.97, indicating high reliability and inter-item correlation.
We piloted the questionnaire prior to implementation, and no changes were deemed necessary. The questionnaire was in English as this is the official language used for business communication in South Africa. On 7 April 2015, we electronically sent invitations for participation in the survey to all identified key stakeholders via REDCap. The first page of the questionnaire consisted of an information sheet and we asked participants to consent before completing the survey electronically. Those not consenting were allowed to opt out. We sent four reminders to participants who did not respond after 2 weeks and we closed the survey on 31 May 2015, after 54 days from the enrolment date.
We captured data entered by participants in REDCap and exported the data into STATA® 14 for cleaning and analysis. We computed frequency and summary tables to describe participants’ age, position, experience, training and roles on committees. We summarized categorical variables in tables showing frequency and percentage of each category. We also summarized numerical/measured variables using means (standard deviations) or medians (ranges) depending on whether they could be assumed to be normally distributed or skewed.
We analysed responses from 7-point Likert scale attribute questions by describing the frequency distribution for each point on the scale. In order to simplify the interpretation of the results, we then categorized the responses to each question on NDSS attributes as agree or disagree. We excluded the ‘neither agree nor disagree’ response in the analysis. We then computed the percentage of respondents who agreed with a particular attribute. We conducted a sensitivity analysis using two additional scenarios: in ‘scenario 2’, we combined the responses of participants who indicated ‘neither agree nor disagree’ with the responses of those participants who indicated ‘agree’ to the questions; in ‘scenario 3’, we combined the responses of participants who indicated ‘neither agree nor disagree’ with the responses of those participants who indicated ‘disagree’ to the questions. In the final stage of the analysis, we determined whether participants’ age, experience, training and roles with regards to the NDSS were associated with each of the attributes using the unconditional logistic regression model. The outcome variable was whether the participant agreed with the attribute or not. We calculated odds ratios (OR), 95 % confidence intervals (95 % CI) and p-values. P-values of less than 0.05 were considered to be statistically significant.
Key stakeholders’ socio-demographic information
We enrolled a total of 141 participants and obtained a response rate of 84 %. After excluding those who did not give consent (n = 11), worked in a non-health related field (n = 9), and with less than 1 year experience with the NDSS (n = 7), the final sample size was 114. The median age of key stakeholders was 49 years, ranging from 26 to 69 years. The median number of years of experience in the NDSS was 11 years (inter-quartile range (IQR): 5 to 20 years). The median duration of NDSS training was 2 weeks. Most of the key stakeholders who participated in NDSS committees, participated in the NORT (43 %). (Table 1)
Key stakeholders’ areas of work responsibilities were regrouped into disease control and response (communicable disease co-ordinators and public health officials); disease detection (epidemiologists, surveillance officers and pathologists); health management (general health managers); and others (undetermined responsibility in the NDSS). Most key stakeholders were involved in disease control and response (53 %), and these stakeholders were younger, with a median age of 41 years, compared to 55 years in the health management group.
Perceptions on the NDSS attributes
The proportion of participants who strongly agreed with any of the attributes was small, with the highest value of 7.5 % for simplicity. The proportion of participants who agreed was slightly higher at around 10 % except for timeliness. An even higher proportion slightly agreed, at around 30 %, with the exception of acceptability. The proportion of participants who neither agreed nor disagreed was also around 30 % for all attributes with the exception of flexibility. The proportion of those who slightly disagree were higher in all attributes with the exception of simplicity. The proportion of those who either disagreed or strongly disagreed was higher for acceptability and flexibility, but negligible for the other attributes. The perceptions of participants for each attribute are shown in Fig. 2.
After categorizing the responses into agree/disagree and excluding those that neither agreed or disagreed, we found that 25 % of the stakeholders perceived the NDSS to be acceptable, 51 % to be flexible, 74 % to be simple, 45 % to be timely,, and 61 % to be useful. A higher percentage of participants in Health Management perceived the system to be simple, useful and timely. Participants from the ‘Other’ category that includes those with an undetermined responsibility in the NDSS, perceived the system to be more flexible. Similarly, stakeholders participating in PORT perceived the system to be more simple and useful, compared to those in other NDSS committees. (Table 2)
The results of the sensitivity analysis showed that the scores on simplicity and timeliness were higher in Scenario 2, when “neither agreed nor disagreed” were added to “agreed”. (Table 3)
Scenario 1 was used to determine the factors influencing key stakeholders’ perceptions on specific attributes of the NDSS. The logistic regression analysis revealed that the stakeholders with more years of experience were significantly less likely to perceive the NDSS system as acceptable (OR 0.91, 95 % CI: 0.84–1.00, p = 0.041). Participants working in disease detection were less likely to perceive the NDSS as timely (OR 0.10, 95 % CI: 0.01–0.96, p = 0.046), while those participating in NORT were less likely to perceive the NDSS as useful (OR 0.38, 95 % CI: 0.16–0.93, p = 0.034). However, there was no association between years of experience or respondents’ place of employment and the stakeholder perceptions on the NDSS attributes of flexibility and simplicity. (Table 4)
In Scenario 2, participants younger than 35 years were more likely to perceive the NDSS as acceptable (OR 0.96, 95 % CI 0.92–0.99, p-value 0.044) and those trained in the NDSS perceived the system to be simpler (OR 4.74, 95 % CI 1.17–19.33 p-value 0.030).
Our findings indicate that 25 % of key stakeholders perceived the NDSS to be acceptable, 51 % to be flexible, 74 % to be simple, 45 % to be timely, and 61 % to be useful. Overall, these findings contrast with the 2014 self-administered questionnaire that South Africa submitted to the WHO on the implementation of the IHR core competencies in which it scored 100 % in surveillance core capacity . The variation in scores could be explained by the different methodologies used, the differences in study periods, and because the 2014/16 EVD outbreak in West Africa could have influenced the perceptions of key stakeholders in this study.
The NDSS perceptions of key stakeholders in this study differed from the experience of the successful containment of several high profile outbreaks in South Africa since 2008, which included a novel arenavirus, Lujovirus ; a major cholera outbreak [29, 30]; influenza pandemic ; a Rift Valley Fever outbreak ; and a measles outbreak . However, the high media attention during these events could have increased the index of suspicion and sensitivity of the surveillance system, which might not be a true reflection of the South African NDSS. Laboratories, which are not obliged by current legislation to notify diseases, may also provide information during high profile outbreaks which contribute to enhanced surveillance during these periods. Nonetheless the difference in the findings of this study and the 2014 IHR report indicates the need for more objective IHR core capacity assessments.
The study found that only 25 % of the stakeholders perceived the system to be acceptable, which implies that the stakeholders may be unwilling to participate in the system. This score of less than 50 % is similar to the finding of the 2007 study in one South African province, that found that 37 % of general practitioners indicated that they complied with the NDSS (reflection of acceptability) . Comparing acceptability against the German NDSS  score of 90 %, the South African NDSS score was significantly lower. The participation of the health care providers is essential to ensure an effective and efficient system. Hence, this attribute needs to be addressed in the reform of the South African NDSS. Only 51 % of key stakeholders perceived the system to be flexible, implying that there are problems with the adaptability of the NDSS to changing circumstances and needs. This finding is similar to that of a qualitative evaluation study on TB surveillance in one district in the Western Cape Province of South Africa that found that although the software used was adaptable, the system did not adjust according to the changing needs . It should be noted that TB has an electronic surveillance system, whereas the surveillance system for all other notifiable diseases is paper-based. Although a comparison with TB surveillance should be made with caution due to these technological differences, the adaptability of the NDSS to the development of new technology appears to lag behind. This suggests the future use of an electronic NDSS system that is responsive to the needs of various stakeholders. In this study, simplicity obtained the highest score of 74 % compared to the other NDSS attributes. This finding is comparable to a study on the Australian NDSS system in 2004  which rated their operations and processes as complex. The introduction of a simple electronic NDSS system in South Africa could potentially address the perceived complexities of the NDSS  and also increase efficiency. The timeliness score of 45 % is also lower compared to the findings of a 2010 Ugandan study that found a score of 68–73 % . Although the different methodologies of the two studies may account for the differences, the lower score in our study may imply that many health care providers and public health officials do not take prompt appropriate steps when an increase in specific diseases come to their attention through the NDSS. As prompt action is essential to contain any outbreak, timeliness must be addressed in the future reforms of the South African NDSS.
The usefulness score of 61 % was also lower than the one obtained in the Australian study that found that 94 % of participants reported reading NDSS reports and 85 % reported using the data . This may indicate that there are gaps in South Africa in the utilisation of the NDSS data for outbreak response, or for prevention and control of communicable diseases. This attribute must therefore be addressed in the reform of the South African NDSS.
When considering perceptions in terms of responsibility in the system, those stakeholders involved at an operational level (disease detection and response) scored the usefulness, simplicity and timeliness of the NDSS lower than those in health management. The perceptions of health management may be an overestimation because they may have regarded the NDSS evaluation as a reflection of their own performance. Hence the scores may reflect social desirability bias. In terms of participation in NDSS committees, those participating in the provincial committees, PORT, scored the simplicity and usefulness of the NDSS higher than those in national committees. As is the case with health management, social desirability bias may again have played a role here as provinces are mainly responsible for the NDSS implementation.
Results from the logistic regression analysis showed that the stakeholders in disease detection and national committees, NORT, involved with oversight of the system, as well as those with more years of experience with the system were less likely to perceive the NDSS as acceptable, timely or useful. This may represent a true reflection of the level of functioning of the system as the surveillance officers, epidemiologists, pathologists, communicable disease coordinators and public health officials are involved with the NDSS on a daily basis in an operational and monitoring capacity – the acceptability, timeliness and usefulness of the NDSS have direct application to their daily work. On the other hand, the perceptions of oversight structures may be a reflection of their distance from the operational functioning of the NDSS.
Although the result of the sensitivity analysis in Scenario 2 showed an increase in timeliness to 77 %, this would not alter our conclusion as it still fall below a level that could be regarded as satisfactory for the effective function of the NDSS. However, in Scenario 2, a score of 92 % for simplicity is very good, and implies that no intervention is needed to improve the simplicity of the NDSS.
With regard to factors found to be associated with the perceptions in Scenario 2, the finding that training was associated with simplicity imply that addressing training needs would increase the understanding of the processes and forms used in the system. The finding that participants younger than 35 years found the system more acceptable, should inform additional training and feedback that should be used to revitalise the NDSS. Training and feedback influence the value that stakeholders at the coalface attach to the system and affect their willingness to participate in it. Without the participation of stakeholders at all levels the NDSS cannot fulfil its purpose.
The main limitation of this study was that it was based on the perceptions of individuals and not on the actual records of notifications, which is the focus of another study. Perceptions are influenced by social desirability bias among stakeholders surveyed. Although every attempt was made to include all the relevant key stakeholders at national and provincial levels, some stakeholders may not have been identified. The findings of this study will be validated through further studies on the actual records of notifications. Another limitation was the dearth of national or provincial studies on the South African NDSS to compare the research findings with. The study findings suggest the need for reforms of the South African NDSS, with particular focus on the attributes of acceptability, flexibility, timeliness and usefulness. We recommend the phased introduction of an electronic system that includes the use of mobile telephone technology to address the current perceived weaknesses in the NDSS attributes. This is because the latter has a high penetration in the South African population. In 2015 there have been some encouraging developments with regard to malaria surveillance  that could be built upon. The 2014–2016 EVD outbreak and the current Zika virus outbreak provide a window of opportunity that should be used to strengthen the NDSS system. We further recommend additional training and feedback to all stakeholders in the system.
At a global level, the findings of this study indicate a need for objective evaluations in support of annual IHR country submissions to the WHO. We recommend that objective assessments, using the baseline data provided in this study, be conducted every three to 5 years. This should be complemented with comparative studies of notification versus laboratory surveillance to provide a comprehensive evaluation of the NDSS in South Africa.
This study found that the majority of key stakeholders scored the NDSS in South Africa low on the attributes of acceptability, flexibility, and usefulness. Factors found to be associated with key stakeholders perceptions were years of experience, training in the NDSS, age less than 35 years, participation in disease detection and NORT. The overall poor perceptions of NDSS stakeholders on the system attributes are a cause for concern. The study findings should inform the revitalisation and reform of the NDSS in South Africa to address stakeholder concerns. This should be done in consultation and in partnership with the stakeholders.
- 95 % CI:
95 %confidence intervals
Centers for Disease Control and Prevention
Ebola Virus Disease
International Health Regulations
National Department of Health
Notifiable disease surveillance system
National Outbreak Response Teams
public health emergency of international concern
Provincial Outbreak Response Teams
research electronic data capture
World Health Organization
World Health Organization. Statement on the 1st meeting of the IHR Emergency Committee on the 2014 Ebola outbreak in West Africa.World Health Organization; 2014. http://www.who.int/mediacentre/news/statements/2014/ebola-20140808/en/. Accessed 3 Mar 2016.
World Health Oorganization. Zika situation report. World Health Organization; 2016. http://www.who.int/emergencies/zika-virus/situation-report/4-march-2016/en/. Accessed 4 Mar 2016.
World Health Oorganization. Report of the Ebola Interim Assessment Panel 2015. http://www.who.int/csr/resources/publications/ebola/report-by-panel.pdf?ua=1. Accessed 24 Aug 2015.
Centers for Disease Control and Prevention. Updated guidelines for evaluating public health surveillance systems recommendations from the Guidelines Working Group. MMWR Morb Mortal Wkly Rep. 2001;50:1–35.
Van Benthem B, Van Vliet J. Reflections on an evaluation of the Dutch Infectious diseases Surveillance Information System. Eurosurveillance. 2008;13:1–2.
Miller M, Roche P, Spencer J, Deeble M. Evaluation of Australia’s National Notifiable Disease Surveillance System. Commun Dis Intell. 2004;28:311–23.
Xiong W, Lv J, Li L. A survey of core and support activities of communicable disease surveillance systems at operating-level CDCs in China. BMC Public Health. 2010;10:704. doi:10.1186/1471-2458-10-704.
Tapia-Conyer R, Kuri-Morales P, González-Urbán L, Sarti E. Evaluation and reform of Mexican National Epidemiological Surveillance System. Am J Public Health. 2001;91:1758–60.
Teixeira MG, Costa MCN, Souza LPF, Nascimento EMR, Barreto ML, Barbosa N, et al. Evaluation of Brazil’ s public health surveillance system within the context of the International Health Regulations (2005). Rev Panam Salud Publica. 2012;1969:49–56.
Wuhib T, Chorba TL, Davidiants V, Mac Kenzie WR, McNabb SJN. Assessment of the infectious diseases surveillance system of the Republic of Armenia: an example of surveillance in the Republics of the former Soviet Union. BMC Public Health. 2002;2:3.
Park O, Choi BY. Introduction and evaluation of communicable disease surveillance in the republic of Korea. J Prev Med Public Health. 2007;40:259–64.
Wamala JF, Okot C, Makumbi I, Natseri N, Kisakye A, Nanyunja M, et al. Assessment of core capacities for the International Health Regulations (IHR ) – Uganda, 2009. BMC Public Health. 2010;10:1–10.
Rumisha SF, Mboera LEG, Senkoro KP, Gueye D, Mmbuji PK. Monitoring and evaluation of integrated disease surveillance and response in selected districts in Tanzania. Tanzan Health Res Bull. 2007;9:1–11.
Adokiya MN, Awoonor-Williams JK, Beiersmann C, Müller O. The integrated disease surveillance and response system in northern Ghana: challenges to the core and support functions. BMC Health Serv Res. 2015;15:288. doi:10.1186/s12913-015-0960-7.
Yang GH, Stroup DF, Thacker SB. National public health surveillance in China: implications for public health in China and the United States. Biomed Environ Sci. 1997;10:1–13.
National Department of Health (South Africa). Notifiable Medical Conditions report for South Africa. 2009. http://www.nmc.gov.za/Docs/Notifiable_medical_conditions.pdf. Accessed 4 Mar 2016.
Weber IB. Evaluation of the Notifiable Disease Surveillance System in Gauteng Province. University of Pretoria Masters Thesis. 2007.
Heidebrecht CL, Tugwell PS, Wells GA, Engel ME. Tuberculosis surveillance in Cape Town, South Africa: an evaluation. Int J Tuberc Lung Dis. 2011;15:912–8. doi:10.5588/ijtld.10.0296.
Auld SC, Kim L, Webb EK, Podewils LJ, Uys M. Completeness and concordance of TB and HIV surveillance systems for TB-HIV co-infected patients in South Africa. Int J Tuberc lung Dis. 2013;17:186–91. doi:10.5588/ijtld.12.0530.
Chopra M, Lawn JE, Sanders D, Barron P, Karim SSA, Bradshaw D, et al. Achieving the health Millennium Development Goals for South Africa: challenges and priorities. Lancet. 2009;374:1023–31. doi:10.1016/S0140-6736(09)61122-3.
National Department of Health (South Africa). National Health Insurance for South Africa. White Paper. 2015. http://www.gov.za/sites/www.gov.za/files/39506_gon1230.pdf. Accesed 24 Oct 2016.
National Department of Health (South Africa). National Public Health Institute of South Africa Bill 2015. http://www.gov.za/sites/www.gov.za/files/39392_gon1092.pdf. Accesed 14 Apr 2016.
Teng P, Bateman NW, Darcy KM, Hamilton CA, Maxwell GL, Bakkenist CJ, et al. HHS public access. Gynecol Oncol. 2015;136:554–61. doi:10.1016/j.ygyno.2014.12.035.Pharmacologic.
Williams W, Lewis D. Strategic management tools and public sector management. Public Manag Rev. 2008;10:653–71. doi:10.1080/14719030802264382.
Bingham LB, Leary RO, Blomgren Bingham L, Nabatchi T, O’Leary R. The New governance : practices citizen and processes for work stakeholder and of in the participation government. Public Adm Rev. 2013;65:547–58. doi:10.1111/j.1540-6210.2005.00482.x.
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42:377–81. doi:10.1016/j.jbi.2008.08.010.
World Health Organization. Global health observatory-by category. Surveillance data by country.World Health Organization; http://apps.who.int/gho/data/node.main.IHR03N?lang=en. Accessed 17 Jan 2016.
Paweska JT, Sewlall NH, Ksiazek TG, Blumberg LH, Hale MJ, Lipkin WI, et al. Nosocomial outbreak of novel arenavirus infection, Southern Africa. Emerg Infect Dis. 2009;15:1598–602. doi:10.3201/eid1510.090211.
Mason PR. Zimbabwe experiences the worst epidemic of cholera in Africa. J Infect Dev Ctries. 2009;3:148–51. doi:10.3855/jidc.62.
Archer BN, Cengimbo A, De Jong G, Keddy KH, Smith AM, Sooka A, Ntshoe GBL. Cholera outbreak in South Africa: preliminary descriptive epidemiology on laboratory-confirmed cases, 15 November 2008 to 30 April 2009. NICD Commun Dis Surveill Bull. 2009;7:3–8.
Archer B, Cohen C, Naidoo D, Thomas J, Makunga C, Blumberg L, et al. Interim report on pandemic H1N1 influenza virus infections in South Africa, April to October 2009: epidemiology and factors associated with fatal cases. Euro Surveill. 2009;14:42.
Archer BN, Thomas J, Weyer J, et al. Epidemiologic Investigations into Outbreaks of Rift Valley Fever in Humans, South Africa, 2008–2011. Emerg Infect Dis J. 2013;19.
Ntshoe GM, McAnerney JM, Archer BN, Smit SB, Harris BN, Tempia S, et al. Measles outbreak in South Africa: epidemiology of laboratory-confirmed measles cases and assessment of intervention, 2009–2011. PLoS One. 2013;8, e55682. doi:10.1371/journal.pone.0055682.
Krause G, Altmann D, Claus H, Hellenbrand W, Buchholz U, Hamouda O, et al. First evaluation of the surveillance systems of notifiable diseases under the infectious disease control law in Germany. Gesundheitswesen. 2003;65 Suppl 1:S8–12. doi:10.1055/s-2003-38113. © Georg Thieme Verlag Stuttgart · New York.
South African Government. Structure and functions of the South African Government. http://www.gov.za/node/537988. Accessed 24 Oct 2016.
Quan V, Hulth A, Kok G, Blumberg L. Timelier notification and action with mobile phones-towards malaria elimination in South Africa. Malar J. 2014;13:151. doi:10.1186/1475-2875-13-151.
We acknowledge Ms MP Matsoso, the Director-General of the National Department of Health, for the permission granted to conduct the study and Dorothy L Southern for assistance with editing.
We presented a poster version of this paper at the International Congress for Infectious Diseases that was held in Hyderabad, India from 1 to 6 March 2016, organised by the International Society for Infectious Diseases.
This and the overall research study were funded by the Global Disease Detection Center of the Centers for Disease Control and Prevention, United States of America, through Co-operative Agreement no. 5U19 GH000571-05 with the National Health Laboratory Services, South Africa. The findings and conclusions in this article are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention, Department of Health and Human Services, or the US government.
Availability of data and materials
The datasets generated and analysed during the current study are not publicly available because a public use dataset has not yet been created, but are available from the corresponding author on reasonable request. Such requests would be subjected to the approval of the Human Research Ethics Committee (Medical) of the University of the Witwatersrand.
Conceived and designed the research concept: FGB, AM, LB and LCR. Analyzed data: FGB and AM with input from LCR. Contributed to the writing of the manuscript: FGB, AM, LB and LCR. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The Human Research Ethics Committee (Medical) of the University of the Witwatersrand in Johannesburg provided approval for the study (Clearance certificate M140624). All participants provided written informed consent, no personal identifiers were collected and data are reported in aggregate.
About this article
Cite this article
Benson, F.G., Musekiwa, A., Blumberg, L. et al. Survey of the perceptions of key stakeholders on the attributes of the South African Notifiable Diseases Surveillance System. BMC Public Health 16, 1120 (2016). https://doi.org/10.1186/s12889-016-3781-7