Information systems in low- and middle-income countries (LMICs) often operate in environments marked by resource limitation, fragmented infrastructure, and variable data quality. Yet they are no less essential.

This chapter explores how LMICs construct public health intelligence systems amidst:

* Incomplete civil registration and vital statistics

* Limited electronic health record coverage

* Workforce shortages

* Rural and remote service gaps

* Parallel donor-driven reporting systems

A central theme is innovation under constraint.

Where routine data systems are incomplete, alternative mechanisms are deployed: sentinel surveillance, demographic surveillance sites, household surveys, community-based reporting networks, and mobile health technologies.

Community diagnosis becomes a powerful concept - integrating epidemiological data with local social, cultural, and environmental insight to inform targeted interventions.

The chapter highlights the importance of strengthening civil registration systems to improve mortality and cause-of-death reporting. Without accurate vital statistics, policy planning remains reactive rather than strategic.

It also examines the risks of vertical reporting systems driven by donor priorities, which can fragment national health information architectures.

Digital expansion offers opportunity - mobile phone reporting, electronic registries, and geospatial mapping are transforming some settings.

Ultimately, the chapter underscores a central message: information systems are not merely technical artefacts - they are governance instruments. Strengthening them strengthens system resilience.

Public health intelligence in LMICs is an exercise in building clarity where visibility is incomplete.

Key Takeaways

* Civil registration gaps limit mortality surveillance in many LMICs.

* Sentinel sites and surveys supplement incomplete routine data.

* Community diagnosis integrates quantitative and contextual information.

* Donor-driven vertical systems may fragment national architecture.

* Digital innovation offers transformative potential.

* Data quality, timeliness, and workforce capacity remain challenges.

* Strengthening information systems enhances system resilience.

* Governance and ownership are critical to sustainability.

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