Health Screening in Refugee Camps: Technology and Logistics

There are roughly 130 million forcibly displaced people worldwide as of mid-2025, according to UNHCR's Global Trends Report. About 43 million of them are refugees. The rest are internally displaced, asylum seekers, or stateless. In the camps and settlements where many of these people end up, health screening is one of the first operational problems that aid organizations face, and it remains one of the hardest to get right. Refugee camp health screening technology has gone through several generations of solutions over the past decade, and the gap between what's technically possible and what actually works in the field is still wide.

The scale of the problem keeps growing. WHO estimates that refugees and migrants make up about one in eight people globally, with 304 million international migrants recorded in 2024, double the 1990 figure. Health screening at this scale cannot rely on the clinical models designed for stable populations with fixed addresses and medical histories.

"The question is no longer whether digital health tools work. The question is whether health systems and the organizations supporting them can absorb these tools without breaking what already functions." — Dr. Alain Labrique, Director of Digital Health, WHO, speaking at the 2024 Global Digital Health Forum

What health screening in refugee camps actually involves

The phrase "health screening" covers a lot of ground in a camp setting. At minimum, new arrivals need assessment for communicable diseases, malnutrition, injuries, pregnancy, and mental health conditions. In practice, the screening process depends heavily on the context: a new emergency with thousands arriving daily looks nothing like an established settlement that's been operating for years.

UNHCR's standard operating procedures call for health screening within 24-48 hours of arrival. In a large-scale emergency, that target gets missed constantly. During the 2022 influx of Sudanese refugees into Chad, Médecins Sans Frontières reported screening backlogs of five to seven days at several transit sites. The bottleneck wasn't willingness or staff — it was the physical process of conducting individual assessments with limited personnel.

Traditional screening relies on clinical staff conducting face-to-face evaluations. A nurse or clinical officer measures vital signs manually, takes a brief history (often through an interpreter), checks for visible signs of illness, and records findings on paper or in a basic digital form. This model works for small populations. It breaks down at scale.

The logistics challenge compounds every other problem. Equipment needs power. Records need storage. Staff need supervision. Supplies need cold chains. And all of this needs to function in environments where infrastructure was either never built or recently destroyed.

How digital screening tools have changed the process

Over the past five years, several organizations have deployed smartphone-based and tablet-based screening tools in refugee settings. These tools range from simple data collection apps to more sophisticated systems that can capture clinical measurements through device sensors.

The CoronaCheck mobile health application, developed during the COVID-19 pandemic, demonstrated that smartphone-based symptom screening could be deployed rapidly among displaced populations. A study published in IntechOpen found that the app was effective for initial triage in settings where PCR testing capacity was limited, though it worked best when combined with confirmatory diagnostics rather than as a standalone tool.

UNRWA, the UN agency for Palestinian refugees, has deployed mobile health applications across its operations in Jordan, Lebanon, Syria, Gaza, and the West Bank. Their system integrates maternal health screening, vaccination tracking, and chronic disease management into a single platform that community health workers carry on tablets. The system feeds data back to UNRWA's central health information system, which serves over 3.5 million registered refugees.

What makes these tools different from typical mHealth apps is the operational context. Internet connectivity is intermittent at best. Power supply is unreliable. Users rotate frequently due to staff turnover. The devices get dropped, stolen, and exposed to dust and rain. Any technology that can't survive these conditions is a pilot project, not a solution.

Screening approach	Staff required per 100 screenings	Time per screening	Equipment cost	Connectivity needed	Data quality
Manual paper-based	8-12 clinical staff	15-25 minutes	Low (paper, stethoscope, thermometer)	None	Variable, transcription errors common
Tablet with digital forms	4-6 clinical staff	10-15 minutes	Medium (tablets, solar chargers)	Periodic sync	Improved, structured data entry
Smartphone sensor-based	2-4 trained health workers	5-8 minutes	Low-medium (smartphones)	Offline-capable, periodic sync	Consistent, automated capture
Automated kiosk screening	1 supervisor per 3 kiosks	3-5 minutes	High (kiosk hardware, power)	Continuous preferred	High, standardized

The logistics nobody plans for

A 2024 article in the Journal of Migration and Health, published as part of a framework developed by researchers at the Barcelona Institute for Global Health (ISGlobal) and the University of Copenhagen, outlined key challenges in deploying digital health solutions for migrant and refugee populations. Their framework identified five persistent barriers: fragmented health information systems, data protection concerns, varying digital literacy, infrastructure gaps, and the absence of interoperability standards across agencies.

The data protection issue deserves particular attention. Refugee health data is sensitive in ways that go beyond normal medical privacy. A person's health status can affect their asylum claim, their resettlement prospects, and in some cases their physical safety. The 2024 UN Summit of the Future included a digital technology track that produced a Global Digital Compact addressing AI governance and digital cooperation, but implementation guidance for refugee-specific contexts remains thin.

Hardware logistics are equally unglamorous and equally important. Solar charging stations need maintenance. Screen protectors crack. Devices need to be wiped and reconfigured when staff rotate. In Zaatari refugee camp in Jordan, where roughly 80,000 Syrian refugees live, WHO-supported mobile clinic teams reported that device management consumed almost as much operational time as the clinical screening itself.

Then there is the language barrier. Camp populations often include speakers of dozens of languages and dialects. Digital screening tools need to support multiple languages, and not just in the interface — the clinical assessment questions need cultural adaptation, not just translation. A screening question about dietary habits means something different when you're asking a pastoralist from South Sudan versus a farmer from the Democratic Republic of Congo.

What works: lessons from operating programs

The organizations that have successfully deployed screening technology in refugee settings share some common patterns. None of them relied on technology alone.

Médecins Sans Frontières has been using digital data collection in emergency responses since 2014, and their approach prioritizes simplicity above almost everything else. Their tools collect the minimum viable dataset needed for clinical decision-making and epidemiological surveillance. The lesson they've repeated in multiple published reflections: in an emergency, a tool that collects 10 data points reliably is more useful than one that collects 50 data points inconsistently.

The International Rescue Committee's Signpost project, operating in 27 countries, uses two-way communication platforms to connect displaced populations with health information and screening referrals. Their data from 2023 showed that mobile-first approaches reached more people than facility-based screening alone, particularly women and adolescent girls who faced barriers to physically visiting health posts.

Community health worker integration

Community health workers remain the backbone of screening programs in most refugee settings. A systematic review published in Human Resources for Health by Maryse Kok and colleagues at the Royal Tropical Institute found CHW attrition rates in Sub-Saharan Africa ranging from 3% to 77% annually. This turnover rate means that screening systems need to be learnable quickly and operable without extensive technical background.

D-tree International's work in Tanzania showed that digital tools designed for CHWs performed best when they followed a guided workflow — essentially walking the health worker through each step of the screening process, with built-in decision support. The CHW doesn't need to remember clinical protocols because the tool structures the assessment for them.

Disease surveillance integration

Screening data is only as useful as the system it feeds into. WHO's Integrated Disease Surveillance and Response framework, adopted by most African countries, provides a structure for routing screening findings into national disease surveillance systems. But in practice, refugee health data often sits in parallel databases managed by different UN agencies and NGOs, creating blind spots in outbreak detection.

DHIS2, the open-source health information platform used by over 80 countries, has become the de facto standard for integrating refugee health data with national systems. Medic (formerly Medic Mobile) built its Community Health Toolkit to interface directly with DHIS2, meaning CHW screening data collected in refugee settlements can flow into the same dashboards used by district health officers for the host population.

Emerging approaches to contactless screening

The newest development in refugee camp health screening technology is the move toward contactless vital signs capture. Remote photoplethysmography (rPPG) uses standard smartphone cameras to measure heart rate, respiratory rate, and blood oxygen levels by detecting subtle changes in skin color caused by blood flow. Published research on rPPG technology has demonstrated that camera-based vital signs measurement is feasible in field conditions.

For refugee settings, the implications are practical rather than theoretical. A smartphone that can measure vital signs without physical contact eliminates several logistical problems at once: no need for disposable sensors, no infection control concerns from shared equipment, no calibration requirements for pulse oximeters at altitude, and faster throughput because the measurement happens during the same interaction where the health worker is already collecting demographic information.

The National Academy of Medicine published a perspectives article in 2024 examining whether digital health can improve healthcare access for migrants, noting that approximately 130.8 million people under forced displacement face barriers to care that traditional health system models were not designed to address. They concluded that mobile-first, low-infrastructure digital health tools represented the most promising near-term approach for reaching displaced populations at scale.

Companies like Circadify are working in this space, developing smartphone-based contactless vital signs technology that can operate offline and on low-end devices. For more on how this technology is being deployed in community health settings, see circadify.com's global health work.

Current research and evidence

A January 2025 paper published in the Journal of Migration and Health by researchers at ISGlobal and the University of Copenhagen proposed a comprehensive framework for evaluating digital health solutions in migrant and refugee contexts. The framework addressed four dimensions: accessibility (can people use it?), acceptability (will they use it?), appropriateness (does it fit the context?), and effectiveness (does it improve outcomes?). The authors argued that most evaluations of refugee health technology focus only on effectiveness, ignoring the first three dimensions that determine whether a tool survives contact with reality.

A study published in PMC on healthcare accessibility among refugees found that only 33.6% of participants reported always having access to qualified health staff, while 45.2% had access sometimes and 1.8% reported never having access. These numbers make the case for technology-assisted screening more clearly than any pilot study: there simply aren't enough clinical staff to screen everyone who needs it, and that shortage isn't going away.

UNHCR's 2024 Global Report noted that their supported health facilities provided over 175,000 mental health consultations during the year, a 19% increase over 2023. The growth in mental health screening specifically reflects growing recognition that displacement-related trauma requires systematic detection, not just referral when symptoms become severe.

The future of refugee camp health screening

The trend lines are clear even if the timeline isn't. Screening tools will continue moving toward smartphone-based platforms because that's what scales. Camera-based vital signs measurement will reduce the dependency on disposable medical supplies and specialized equipment. AI-assisted triage will help route patients to the right level of care faster.

But technology adoption in humanitarian settings follows a different curve than commercial markets. Procurement cycles are long. Donor funding is unpredictable. Implementing partners change between grant cycles. And the populations being served have urgent needs that can't wait for the next software release.

The organizations making real progress are the ones that treat technology as one component of a screening program, not the screening program itself. The technology handles data collection and basic measurement. Humans handle clinical judgment, cultural navigation, and the trust-building that makes people willing to be screened in the first place.

Related reading on this site: How NGOs Deploy Mobile Health Technology at Scale and How rPPG Works Without Internet: Offline-First Health Screening.

Frequently asked questions

What diseases are screened for in refugee camps?

Initial screening typically covers communicable diseases (measles, cholera, tuberculosis, malaria, COVID-19), malnutrition (using mid-upper arm circumference for children under five), pregnancy, injuries, and mental health conditions. The specific diseases prioritized depend on the region and the epidemiological context. In East Africa, malaria screening is routine. In the Middle East, tuberculosis and chronic diseases receive more attention.

How does smartphone-based screening work in areas without internet?

Most effective mobile health tools in refugee settings use an offline-first architecture. The app runs locally on the device, stores screening data in a local database, and syncs with a central server whenever connectivity becomes available. This might happen once a day when the health worker returns to a base with WiFi, or intermittently through a cellular signal. The screening itself doesn't require a connection.

Who conducts health screenings in refugee camps?

Screening is typically conducted by a mix of clinical staff (nurses, clinical officers, sometimes physicians) and trained community health workers. In large-scale emergencies, the ratio shifts heavily toward community health workers with digital decision support tools, supervised by a smaller number of clinical staff. Refugee community members are often trained as health workers themselves, which helps with language barriers and cultural appropriateness.

What happens to the health data collected during screening?

Health data flows into camp-level health information systems managed by UNHCR or the lead health partner. In well-integrated programs, this data also feeds into national disease surveillance systems through platforms like DHIS2. Data protection follows UNHCR's data protection policy and, where applicable, national privacy legislation. The sensitivity of refugee health data — which can affect asylum and resettlement decisions — means that data governance receives more attention in these settings than in many commercial health tech deployments.