Socio-Ecological Systems Analysis and Health System Readiness in Responding to Dengue Epidemics in Ilala and Kinondoni Districts, Tanzania

Introduction Since 2010, Tanzania has been experiencing frequent outbreaks of dengue. The objectives of this study were to carry out a socio-ecological systems (SES) analysis to identify risk factors and interventions and assess the readiness of the district in the prevention and control of dengue. Methods The study utilized a cross-sectional purposive selection of key stakeholders responsible for disease surveillance and response in human and animal sectors in Ilala and Kinondoni districts in Tanzania. A SES framework was used to identify drivers and construct perceived thematic causal explanations of the dengue outbreaks in the study districts. A mapping exercise was carried out to analyse the performance of the disease surveillance system at district and facility levels. A semi-structured questionnaire was used to assess the districts’ readiness in the response to dengue outbreak. Results The two districts were characterized by both urban and peri-urban ecosystems, with a mixture of planned and unplanned settlements which support breeding and proliferation of Aedes mosquitoes. The results indicate inadequate levels of readiness in the management and control of dengue outbreaks, in terms of clinical competence, diagnostic capacities, surveillance system and control/prevention measures. Mosquito breeding sites, especially discarded automobile tyres, were reported to be scattered in the districts. Constraining factors in implementing disease surveillance included both intrapersonal and interpersonal factors, lack of case management guidelines, difficult language used in standard case definitions, inadequate laboratory capacity, lack of appropriate rapid response teams, inadequate knowledge on outbreak investigation and inadequate capacities in data management. Conclusion The two districts had limited readiness in the management and control of dengue, in terms of clinical competence, diagnostic capacities, surveillance system and prevention and control measures. These challenges require the immediate attention by the authorities, as they compromise the effectiveness of the national strategy for community health support.


INTRODUCTION
Tanzania has experienced several outbreaks of mosquito-borne viral diseases (MBVDs) including dengue, chikungunya and Rift Valley fever over the last two decades (1)(2)(3)(4). These diseases are ecologically sensitive, since environmental conditions, such as temperature and precipitation, affect both the infectious pathogens and the vectors that transmit them (5,6). MBVDs have received little attention, most likely due to inadequate knowledge, awareness and inadequate diagnostic capacity. The ecology and transmission of MBVDs are closely related to environmental resource management, social and behavioural patterns (7). Thus, the mechanisms underlying MBVDs require exploring complex interactions within and among coupled natural and human systems, considering human and natural ecologies, and the multiple layers of interaction among them (8)(9)(10). Usually, MBVD risk increases as a result of the effect of heavy rainfall providing habitat suitability for mosquito breeding opportunities (5,11). Furthermore, repeated drought conditions and inadequate/unreliable water supply encourage storage of water for human and livestock consumption, the practices which provide breeding sites for Aedes aegypti, the primary vector of dengue (12).
A better understanding of the relationship between development transitions and emerging and re-emerging infectious diseases is critical for improving capability to predict and respond to epidemics. The complex nature of emerging and reemerging infectious diseases highlights the need for new approaches to understand the mechanisms and processes underlying pathogen emergence to improve disease prevention and control. Moreover, it is important to understand how transformations in socio-ecological systems caused by multifaceted interactions between anthropogenic environmental changes such as urbanization, livelihoods activities, and natural habitat alterations, produce feedbacks that affect natural communities and ultimately their pathogens, animal and human populations (13,14). However, there are limited studies that have attempted to apply socio-ecological systems (SES) framework analysis on emerging and re-emerging infectious diseases in lowand middle-income countries (15).
The socio-ecological theory provides a framework for examining how individuals, their health, and surrounding physical and social environments interact at multiple levels of a health problem and their interdependency (5,16). The levels are: (i) Intrapersonal factors such as individual attitudes, behaviours, knowledge, and skills; (ii) Interpersonal processes and community factors, such as social networks made of family, friends, or colleagues that provide support; (iii) Institutional factors such as formal or informal organizations that may have rules or expectations that impact health behaviours; and (iv) laws, policies or regulations that promote or inhibit certain health practices that impact disease management, control or prevention (17)(18)(19)(20).
The development of a framework for analysing socialecological models aims to understand how these systems function, and the processes through which they interact to influence disease outbreaks. To our knowledge, only a single study carried out in Tanzania has so far documented socioecological factors as regards to dengue epidemics (21). Moreover, the readiness of national and sub-national levels in dengue and other mosquito-borne viral disease mitigations has not been assessed in Tanzania. Identifying district level health determinant factors for dengue transmission will provide specific targets for public health interventions. With the decentralised health system management structure in Tanzania, most operational activities for disease surveillance are conducted at the district level. The objectives of this study were to (i) carry out a socio-ecological systems analysis on dengue to identify risk factors and interventions at the district level; and (ii) assess the readiness of the district in the prevention and control of dengue.

Study Area
This study was carried out during October 2019 and involved Ilala and Kinondoni districts of Dar es Salaam city in eastern Tanzania. It is the largest city in Tanzania with an area of 1,339km 2 , is made up of five administrative districts, namely Ilala, Kigamboni, Kinondoni, Temeke and Ubungo. The city human population is 4,364,541 (Ilala=1,220,611; Kinondoni= 1,775,049), with an annual growth rate of 5.6% (22). The climate of Dar es Salaam is generally hot and humid with small seasonal and daily variations in temperature. The mean daily temperature is 26°C, the mean seasonal range is 4°C, and the mean daily range is about 8°C. There are two rainy seasons, long (March-June) and short (October-December) with total annual rainfall averages 1,100mm. The relative humidity is generally high, reaching 100% almost every night throughout the year, but falling to 60% during the day (23,24).
Dar es Salaam has been facing continued dengue outbreaks with increased frequency and occurrence during the past 10 years. The occurrence of dengue outbreaks was reported in 2010, 2012, 2013, 2014, 2018 and 2019 (2,3,25,26). During the 2019 outbreak, about 6,917 cases including 13 deaths were reported between January and July 2019 in Tanzania (27). Two districts of Dar es Salaam, namely Kinondoni and Ilala were selected for this study because of their experience in dengue outbreaks since 2010 (2,3). We hypothesized that following experience of several dengue outbreaks, the districts would have plans and built their capacities on outbreak preparedness and response.
Dar es Salaam is characterized by a high human population density, occupied by multiple activities and diverse socioecological systems ranging from informal housing, transport infrastructure, dump sites, agriculture, industrial commercial activities, fishing and sand mining. It is highly polluted by effluents from Msimbazi river tributaries originating from different sources, leakage of effluent from waste dumps, abattoirs and domestic wastewater. It remains unclear how these diverse socioecological features interact to influence vulnerability of the region to Dengue outbreaks. We focused on two districts in the region for an exploratory baseline data analysis to guide mitigations against the disease prevention and control and future studies.

Participants
The study utilized a cross-sectional purposive selection of key stakeholders responsible for disease surveillance and response in human and animal sectors. The participants were brought together to foster interdisciplinary collaboration and stimulate transdisciplinary approaches to improve prevention and control of MBVDs. They were from the departments responsible for human and animal health of the Dar es Salaam city council and Ilala and Kinondoni districts. Data collection process was implemented through a consultative workshop adapted as a participatory rapid appraisal method to explore practices related to prevention and control of dengue in the study districts. Based on the study objectives, the participants were considered through a purposefully selection process with a sample representing the key components of disease surveillance functions related to MBVDs.

District SES Framework Analysis
We applied SES framework (28)(29)(30)(31) to identify drivers and construct perceived thematic causal explanations of the dengue outbreaks in the study districts. The SES approach allows the application of a variety of methodological process to study the field of interest (32). The major components of SES framework include social, economic, and political settings; resource systems; governance systems; resource units; actors; interactions; implementation outcomes; and related ecosystems (33). Application of this theory-based framework to understand the multifaceted and interactive effects of different actors and environmental factors on the outcome of interest, involves five nested, hierarchical levels of the socioecological model, which are individual, interpersonal, community, organizational, and policy/enabling environment (34). Building on a conceptual framework developed by ecologists to address natural resource management issues (28)(29)(30)(31), we adapted the steps to the interface of human and natural systems to assess the capacity of the districts in addressing MBVDs. Participants worked in two groups, each for the respective district. Group works were followed by group presentations and discussions.
The themes in the SES framework analysis tool included, ecosystem descriptor (rural, urban, semi-urban; forest (tropical, savannah), human settlement type (population density; settlement in valley areas; planned/unplanned squatter), economic activities (subsistence agriculture; industry; mining extractive; business), agricultural production system (subsistence crop, type of crops; season of cropping), and housing structure (sand brick, mud brick, flooring mud; concrete, iron roofed, grass thatched roof). Others were infrastructure (transport system, water sources and waste disposal), actors influencing disease events (individuals, community), policies (education, nutrition, dengue prevention and control and treatment) and external shock to health system (climate variability/change and other related policies).

District Readiness to Epidemics
An interview guide with semi-structured questions was used to assess and document the districts' clinical competence of healthcare providers, diagnostic capacity, and surveillance, prevention and control interventions. The themes included were clinical competence of healthcare providers (standard case definition, case management guidelines, availability of human resource), diagnostic capacity (availability of diagnostic test, consumables, guidelines, standard operating procedures and job aids), functionality of surveillance system (data quality (timeliness, completeness, consistency), data analytical capacity and data sharing policy and practices). Others were control interventions (availability of contingency plan, community involvement in surveillance activities, health education and promotion) and availability of partners in the surveillance, prevention and control of dengue in the respective districts.
The assessment of the surveillance system covered the following items: structures of the surveillance system, staff and resources, responsibility units and capacity to respond to infectious disease outbreaks. Disease surveillance, response and control programmes and networks were assessed to evaluate the capacity to detect, notify, assess and respond to known, new, and unknown infectious disease threats. The gaps were identified and solutions to enhance utilization of data for relevant sources for decision making process were proposed. Exploration was made to map how the districts were working and what actions would be needed to improve surveillance and response strategies in the districts.

Data Collection Approach
Five researchers facilitated a two-day consultative workshop and a chairperson moderated each session. The workshop comprised of series of presentations, group exercises and plenary sessions based on themes pre-defined in the data collection tools. Presentations included general overview of MBVDs in Tanzania, SES framework analysis and principles and functions of public and animal health surveillance systems.
The workshop participants were oriented to the objectives of the study and expected outcomes. They were taken through data collection tools for a common understanding of different fields related to disease surveillance functions. Participants were asked to complement the pre-defined themes in the respective data collection tools. This was followed by a questions and answers session before participants were organized into breakout groups of theme-based sessions involving three to five participants from each district in an interactive discussion for each of the questions in the data collection tools. The group working sessions focused on specific assignments on SES framework analysis on dengue. A mapping exercise was also carried out to analyse the performance of the disease surveillance system at district and facility levels.
The results (for each theme) from the group sessions were reported and discussed with the reconvened larger group during the plenary sessions. This pattern-the reiteration of the research theme by researchers, followed by small group discussion for a particular theme, convening of a larger group plenary discussionwere repeated until when participants had worked through all the themes presented in each of the analysis tool. The collected data were typed in the Microsoft word format and discussed with participants during the plenary session before they were regarded as final. While describing the specific theme in each of the data collection tool, participants were asked to qualify their responses to the possible extent. Depending on the nature of the questions, the expected responses were categorized into "poor or good", "sufficient or insufficient", "weak or strong", "available or not available", and "available and in use or available but not in use". While describing a specific theme, where applicable, participants were asked to extend qualification of their responses beyond the priori-defined responses.

Data Management and Analysis
We used data from the in-depth interviews to assess levels, practices and factors influencing socio-ecological system, epidemic readiness, disease surveillance capacity, and dengue prevention and control. Content analysis technique was applied using manifest surface structure approach to group different expressions provided by participants into discrete categorical responses reflecting the specific themes defined by different variables in the SES framework analysis epidemic readiness, disease surveillance capacity, and dengue prevention and control tools used (34). Data was summarized using a narrative structure for SES and were interpreted based on existing related literature, theories and knowledge/experience of the researchers.

Socio-Ecological System Analysis
The workshop brought together 27 participants comprising of regional and district medical/health officers, regional and district health management information systems officers, district vector control officers, veterinary officers, information and communication technology specialists, surveillance officers and researchers. A number of observations and issues were raised as regards to the capacity of the country in addressing MBVDs. It was explained that until early 2000s, the Ministry of Health had a department responsible for the coordination of all issues pertaining to vector-borne diseases. However, the department does not exist anymore; and the activities related to vectorborne diseases were being implemented separately through vertical programmes. Such programmes focused on specific diseases such as malaria, lymphatic filariasis, trachoma and onchocerciasis.
The two districts were characterized by both urban and periurban ecosystems, with mostly medium to high density human populations. A mixture of planned and unplanned settlements was common in both districts. Backyard poultry, pig and dairy farming were common in Ilala, but limited in Kinondoni district. Housing was characterized by iron roofing, with some of the houses having roof rain gutters. The main economic activities in Kinondoni included small-scale industries, business and extractive quarrying mining activities. In Ilala they included medium to large-scale food and non-food industries, business, fishing activities, crop production and extractive quarrying of sand. Seasonal cropping of vegetables and pot flower gardening were common practices in the two districts ( Figure 1). The sources of energy in both districts included electricity, charcoal, firewood, solar, gas and kerosene. Though solid waste management and disposal was centralized, improper household waste disposal was common in the two districts.

Epidemic Readiness
Overall, none of the two districts reported adequate readiness in the management and control of dengue, both in terms of clinical competence, diagnostic capacities, surveillance and control/ prevention measures. The challenges related to clinical competence included lack of standard case definition (SCD), standard operating procedures, inadequate rapid diagnostic tests, lack of case management guidelines, inadequate human resource and lack of job aids. The major challenges in surveillance were poor data quality (completeness and consistency), timeliness, inadequate data analysis capacity and unavailability of data sharing policy and practices. Community-based disease surveillance programme was not part of the surveillance system in the two districts. None of the districts had a contingency plan for dengue. Treatment guidelines for dengue were available, but not disseminated widely at all levels in the districts ( Table 1).

Facility Level
At the facility level (which include district hospital, health centre and dispensary), participants from Kinondoni identified availability of forms for reporting and routine meetings with local authorities as the only facilitating factors in implementing surveillance programme. The constraining factors reported included lack of guidelines, dissemination and translation of SCDs (which were in English) and low diagnostic capacities for dengue. Lack of smooth communication network and appropriate rapid response team were reported. Low capacity on data management, including analysis, was reported to negatively affect the decision-making process at health facility level. Inadequate knowledge on outbreak investigation among health facility workers and shortage of sample collection equipment were identified as critical gaps. In Ilala, although the SCD were available, most of the clinicians reported to have not received orientation/training on their use. Data analysis and interpretation at health facility level was not been routinely done due to inadequate knowledge and skills. Like in Kinondoni, the participants reported that facility level health care workers were not part of the outbreak investigation team.

District Level
In Kinondoni the identified constraining factors were (i) lack of data collection tools, shortage of staff and insufficient laboratory reagents; (ii) external and internal transfer of trained staff; insufficient knowledge and unreliable internet connectivity; (iii) inadequate communication tools; (iv) delays in receiving reports from the lower levels (facilities or community); (vi) lack of periodic supportive supervision from higher levels; (vi) low  Participants from Ilala reported on lack of feedback on data analysis as the most critical challenge in the use of surveillance data. Moreover, they were not able to compare current and previous pattern (trends) of the disease due to poor quality data. Unavailability of sample collection tools and unclear responsibilities for health care workers were underscored as the key limiting factors in the outbreak investigation. It was pointed out that although the district team is sometimes involved in disease outbreak management, its staff lacked training and budget on emergency preparedness and responses. They also reported that an Epidemic Response Committee in the district was not functioning. Most of the guidelines were reported to be in English, voluminous and difficult to follow. It was proposed that the guidelines be translated into Kiswahili (the national language) and made available in simple user-friendly formats.
In the two districts, analysis tools for surveillance data were not in place. Moreover, it was reported that the surveillance officers were not skilled enough on data management especially, analysis and interpretation. There were a number of health information systems for district and facility to use, which included the Health Management Information System (HMIS), National System for Government Health Officials and Government of Tanzania Hospital Management Information System. All these were described to bring confusion to health workers. There was no information, knowledge, skills and experience sharing practices on data management between surveillance and HMIS officers at the district level.

Dengue Prevention and Control
During the discussion, an issue on unchecked mosquito breeding sites in Dar es Salaam city was raised and discussed. There was no functional entomology surveillance programme in the study districts. Participants were concerned with the lack of appropriate actions as regards to disposal of discarded automobile tyres and water-carrying containers. Mosquito breeding sites especially discarded automobile tyres were reported to be scattered and found in almost all areas of the city. The automobile tyres were described to contribute to over two-thirds of the breeding sites for Aedes mosquitoes. It was reported that in the old days, the destruction of used automobile tyres was done by burning. However, the programme failed, as it required burning chambers, which were not available. It was noted that although a malaria larviciding programme was been implemented in the city, it was ineffective against Aedes mosquitoes. Participants noted that the malaria mosquito larviciding project focused on large water bodies and left small water bodies and containers unchecked. Moreover, the programme was being implemented in only 60% of the wards in the city. The participants raised their concerns for the districts inadequate budget for outbreaks response. The low level of awareness on dengue and other mosquito-borne viral diseases was reported by participants from both districts (Figure 2).
The following were proposed as the way forward in addressing the challenges in the control of dengue: (i) revising the larviciding programme to cover much larger areas of the city and target the priority mosquito-borne disease vectors; (ii) enhancing capacity in dengue diagnosis and case management; and (iii) developing a strategic plan to address advocacy to the regional and district government authorities as regards to the importance of outbreak preparedness.

DISCUSSION
Dengue has become an increasingly important public health problem in the tropical world in terms of morbidity and mortality. With rapidly changing human population and activities, the ecology of both the pathogens and vectors, climate change coupled with weak health systems, dengue outbreaks are likely to become more frequent. In our approach, we addressed the reality that effective prevention and control of dengue cannot be achieved from narrow perspectives, but would largely benefit from a holistic approach that considers an improved understanding of SES and health system readiness. The basic idea of SES is to be explicit in system thinking and linking together the 'human system' and the 'natural system' in a two-way feedback relationship. The interactions between humans, pathogens and environment, suggest that SES is crucial in disease occurrence and transmission dynamics. Moreover, the readiness of national and sub-national levels in dengue mitigations is central in the designing and planning of appropriate intervention measures. It is against this background that we conducted this analysis to identify socioecological factors and readiness of the districts in the control and prevention of dengue. In our data collection process, we adopted a consultative workshop method, which has been found to foster engagement through collaborative discussions and constructive feedback between participants from different the district and sectors on a particular topic (35,36). The approach helped us to obtain information-rich data and persistent observation on dengue management and control in the study districts from purposively selected key stakeholders, which is similar to a consideration reported elsewhere (37).
In the SES framework analysis, we found that the ecological descriptors of Ilala and Kinondoni were characterised by both urban and peri-urban ecosystems with planned and unplanned settlements. Although in our study we did not establish the impact of urbanization on the occurrence of dengue, urban and peri-urban areas have been reported to be vulnerable to the disease, the outcome which is driven by rapid and uncontrolled urbanization that support Aedes mosquito productivity (2,38,39). The intrapersonal factors such as in-house water storage, improper household waste water disposal were common practices in the districts. The presence of potential mosquito breeding sites including discarded automobile car tyres, flower pots and water stagnation were reported to support habitat suitability for mosquito breeding and thereby increasing the risk of occurrence of dengue in the two districts (2,21).
It was reported that to date, there have been no effective measures in the disposal of used automobile tyres. As a result, they were improperly discarded and continued to stockpile in the districts. This creates a great health risk as tyres provide permissive breeding grounds for mosquitoes (40). Used automobile tyres and domestic water storage containers have been reported as the most important larval habitats for Ae. aegypti in Dar es Salaam and Zanzibar (41,42). These observations suggest that the solution to proper management of mosquito breeding sites does not fall clearly within the boundaries of a single discipline or sector but rather a multisectoral approach.
Vulnerability to dengue was considered disproportionately distributed within each of the study districts. This suggests that interventions to address them should be repackaged based on specific-area risk profiles. However, as we have highlighted on the inefficiency of surveillance systems based on district-level SES framework analysis, we cannot account explicitly on the representation of vulnerability of sub-district levels to dengue. SES framework analysis at the sub-district levels is likely to complement our understanding on the vulnerability profiles at different ecological levels.
One of the strategic mosquito prevention measures in the districts was larviciding. However, in the two districts, larviciding, which was introduced for malaria control (43), was implemented without consideration of the evidence to guide appropriate timing, areas and potential breeding sites of focus. We suggest that in order to effectively prevent dengue, it is important to implement integrated vector management measures. This should be implemented by targeting the most suitable mosquito habitats to suppress mosquito larval stages thereby reducing adult emergence. Although larviciding has been recommended as a complementary intervention to control malaria (44), we suggest to conduct monitoring and evaluation of such interventions against the Aedes mosquitoes.
It has been established that indices of mosquito and climate factors are the main determinants of dengue (45)(46)(47). Since microclimate dynamics is largely determined by human activities it is imperative to suggest that a key strategy to prevent and control dengue is to focus on addressing the anthropogenic factors. A number of ecological, biological and social factors are involved in mosquito breeding and pathogen transmission (48). A study in Sri Lanka revealed that dengue outbreaks were significantly associated with ecological, socioeconomic and demographic factors; including the presence of built-up area, and areas with higher human population density (49). Existing evidence on the complexity of eco-bio-social contexts repeatedly argues that dengue control necessitates sound intersectoral approaches that combine environmental management practices with community mobilization (50)(51)(52). Probably intensification of public health education on proper management of water storage containers, discarded car tyres, periodic draining or removal of artificial containers could be the most effective strategy of reducing Aedes mosquito breeding habitats. Based on SES framework analysis results, we hypothesise that interventions on the management of potential mosquito breeding sites in domestic and peri-domestic environments and ecological health could generate data to guide sustainable community-based prevention strategies against dengue and other Aedes-borne viral diseases.
On assessing the capacity in responding to outbreaks, none of the two districts reported the readiness in the management of dengue outbreak. The availability of disease surveillance and management guidelines in English language was reported as a utilization impediment and participants proposed that they should be translated into Kiswahili (the national language). In our study, the guidelines were reported to be voluminous and not user-friendly. Since a number of guidelines continue to proliferate on the same or similar subjects, it is likely to be impractical for the practitioners to use them efficiently. The successful implementation of guidelines depends on many factors including participatory development, dissemination and implementation strategy as well as evaluation of their effectiveness (53). The presence of guidelines may not guarantee their implementation or utility, and some studies have reported failure of guidelines to influence the implementation of health programmes (54)(55)(56). The reasons that have been associated with failure of guidelines to achieve their objectives, include inadequate consultation, lack of consideration of technical capacity, attitude and behaviour of health professionals and lack of training on the use of the guidelines (57)(58)(59). Adoption of a web-or mobile-based electronic platform to enhance, on the one hand data collection especially at community level and on the other, prompt searching by topic of interest or based on prevailing needs is likely to be a breakthrough. We believe that with increasing occurrence of infectious disease epidemics the efficiency of disease surveillance, early detection and early warning will require use of such web or mobile technologies (60). This can be enhanced through application of machine learning data-mining integration with socio-ecological and geospatial analyses (61), specifically designed for low-and middleincome countries like Tanzania.
The capacities of the districts in dengue epidemic readiness was limited, and this calls for concerted efforts to improve resource availability, and capacity strengthening. Measuring readiness in epidemic preparedness and response is likely to present some challenges. This is because in this study epidemic preparedness focused mainly on human resource, infrastructure, and surveillance. The study did not document the relevant processes in epidemic preparedness or the activities executed during an epidemic response, including isolation and quarantine, public communication, and others (62).
Generally, the overall performance of the surveillance system in the two districts was not satisfactory in detecting and or monitoring trends of dengue. We recorded inadequate skills and capacity in outbreak investigation, insufficient laboratory supplies, poor surveillance data quality, inadequate skill on data analysis, interpretation and use, and poor information/ data sharing practices between sectors. The surveillance systems were reported to be inefficient with inadequate involvement of community and therefore not tailored for early detection and response. Limited or no evidence of routine data analysis at subnational levels due to lack of clear guidelines on how and when to analyse data has been reported in previous studies (63)(64)(65)(66). It has been described that when the health facilities do not analyse and use the data, the utility of the surveillance system becomes minimal, which makes the system too weak to pick outbreaks early that could guide prompt response. The absence of data analysis, interpretation and utilization for local action seen in the present study is in line with findings of studies in Ethiopia, Nigeria and Tanzania (67)(68)(69)(70). Skill gap in data management system, weak supervision and feedback system, low or no legal enforcement to the surveillance activities, lack of incentives, lack of continued capacity building training, and lack of sense of ownership have been reported as factors affecting analysis and use of surveillance data (67).
It is important to note that, this exploratory study utilized a cross-sectional purposive selection of key stakeholders responsible for disease surveillance and response in one region of the country that has repeatedly reported Dengue outbreaks. This means that it will be difficult to draw a generalizable inference over the entire country from these results. However, the findings could apply to areas with similar settings as the study areas and provide the baseline data for future socio-ecological studies. The quality and quantity of information reported by participants might have been affected by recall bias and/or preferences to report amongst them.

CONCLUSION
Using the SES framework analysis, through a consultative workshop data collection approach, we have managed to identify important features, the processes and assess the functioning of multifaceted and complex systems involved in management 0f dengue in the two districts of Tanzania. The findings illustrate that the districts have limited readiness in the management and control of dengue outbreaks. The surveillance system is faced by lack of or inappropriate format of guidelines, dissemination and translation for use of SCDs and inadequate laboratory capacity to confirm cases. Low capacity in data management, analysis and use was common in both districts. Inadequate knowledge on outbreak investigation among facility workers and shortage of sample collection and processing tools were identified as critical gaps. To strengthen epidemic preparedness at the district level, a wellfunctioning supervised surveillance system, with appropriate systems of analysis and feedback covering key indicator variables related to dengue outbreak, is essential.

DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

AUTHOR CONTRIBUTIONS
LM and CS contributed to the study design. IM, JG, and RN gathered the data. SR, CS, JG, and LM analysed the data. NH, MA, RK, MR, GM, and EK contributed to drafting of the manuscript. All authors contributed to the article and approved the submitted version.

FUNDING
This study received financial support from the European and Developing Countries Clinical Trials Partnership (EDCTP2) Programme (Grant RIA2016E-1609) which is supported under Horizon 2020, the European Union's Framework Programme for Research and Innovation.