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Qualitative review of digital surveillance challenges for dengue in western IndiaDigital tools face real hurdles in India's fight against dengue

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Key Takeaway
Note that resource constraints and fragmented workflows limit digital surveillance for dengue in western India.

This qualitative review investigates the operational landscape of digital surveillance systems for dengue in two high-burden districts within western India. The authors conducted 57 semi-structured interviews to understand the barriers to effective data collection and reporting in this setting. The scope of the inquiry focuses on the informational challenges inherent to current surveillance mechanisms rather than testing a specific intervention or drug.

The analysis reveals that only 13% of total sanctioned Integrated Disease Surveillance Programme district public health laboratories are functional. Furthermore, four out of 30+ districts lack sentinel hospitals. The authors describe fragmented information flows and the separation of biomedical and social determinants as major hurdles. Field staff face community resistance, and there is a noted reliance on informal communication channels instead of digital tools.

Operational issues include the operation of dual and overlapping programmes, inconsistent laboratory protocols, and reporting pressures that prioritize procedural targets over data quality. The study acknowledges resource constraints as a primary limitation affecting the implementation of these systems. No adverse events or discontinuations were reported as this was not a clinical trial involving pharmacological agents.

The authors conclude that strengthening socio-technical interoperability and harmonizing outbreak criteria across programmes could enhance dengue early warning and response. Embedding socio-environmental determinants into routine surveillance is presented as a necessary step to address the identified gaps in the current infrastructure.

Digital tools promise to track diseases faster, but they face real hurdles in India's fight against dengue. A review of two high-burden districts in western India reveals why these systems often fail to deliver clear early warnings. The study looked at the people and processes behind the data, not just the numbers on a screen.

The reality on the ground is messy. Only 13% of the public health laboratories that should be working are actually functional. Four out of more than 30 districts lack the sentinel hospitals needed to catch outbreaks early. Field staff report that information flows are broken, separating medical data from the social factors that cause disease. They also face pressure to meet reporting targets rather than focusing on accurate data quality.

These challenges are not about the technology itself but about how it fits into daily work. Staff deal with overlapping programs and community resistance that slows everything down. The review notes that limited resources make these problems harder to solve. Strengthening how different systems talk to each other and embedding social factors into routine checks could help. Until then, digital tools remain an incomplete solution for protecting communities from dengue.

What this means for you:
Digital tools struggle with broken data flows and limited resources in India's dengue surveillance.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
BackgroundWhile digital surveillance systems are being widely deployed for infectious diseases monitoring, yet their potential remains underutilized in low-and middle-income countries (LMICs). Dengue, a significant global public health concern is threatening over half of the world’s population and would benefit from the strengthening of supporting monitoring systems. India contributes roughly to one-third of global dengue cases, making it an important context to examine and mitigate informational barriers to digital surveillance. This paper investigates the informational challenges inherent in digital surveillance systems in India, where despite extensive digitization efforts, the results remain limited due to resources constraints, for example of the total sanctioned Integrated Disease Surveillance Programme (IDSP) district public health laboratories, only 13% are functional and four (out of 30+) districts lacking sentinel hospitals in the state which is our empirical site.MethodsBased on a qualitative research design, an empirical qualitative study was conducted between (2023 and 2025) in two high-burden districts in western India. Data were collected through 57 semi-structured interviews, direct observations, and extensive document review across multiple levels from the facility to district, engaged with dengue surveillance processes. Thematic analysis identified challenges in the current information workflow and the use of digital systems.ResultsKey challenges identified were identified at levels of macro structures and micro processes, and their mutual influences. Challenges include: (i) fragmented information flows at multiple levels, with the separation of biomedical and social determinants of dengue, operation of dual and overlapping programmes of Integrated Disease Surveillance Programme (IHIP-IDSP) and the National Vector-Borne Disease Control Programme (NVBDCP); (ii) field staff facing community resistance, inconsistent laboratory protocols, reporting pressures, and reliance on informal communication that subverts rigid bureaucratic systems; (iii) emphasis on procedural targets over data quality, undermining the value of data for action taking.ConclusionA clear gap was identified between the digital data infrastructures and field surveillance realities. Strengthening socio-technical interoperability, such as through harmonizing outbreak criteria across programmes and embedding socio-environmental determinants into routine surveillance could enhance dengue early warning and response.
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