📊 Category

epidemiology

357 papers

Epidemiology is the study of how diseases spread through populations and what factors influence their patterns. Rather than focusing on individual patients, this field examines broader trends to identify outbreaks, track transmission, and guide public health decisions. By analyzing data on infection rates and risk factors, researchers work to prevent future health crises and protect communities worldwide.

On Gist.Science, we process every new preprint in this category directly from medRxiv to make these critical findings instantly accessible. For each study, we provide both a plain-language explanation for general readers and a detailed technical summary for specialists. This dual approach ensures that vital insights into disease dynamics are understood clearly and quickly by everyone who needs them.

Explore the latest research below to see how scientists are currently mapping disease trends and developing strategies to safeguard global health.

📊 epidemiology

Application of the Health Belief Model using the PRECEDE-PROCEED framework for community-based hypertension control in rural Bangladesh: a cluster randomized trial protocol

This paper outlines the protocol for a cluster randomized trial in rural Bangladesh that evaluates a theory-driven, mediation-informed Health Belief Model intervention, guided by the PRECEDE-PROCEED framework, to improve hypertension control by targeting specific behavioral pathways like medication adherence and self-efficacy.

Islam, M. T., Haque, M. A., Uddin, M. K., Chakraborty, M., Arafat, S. M.2026-06-29
📊 epidemiology

A study protocol for the project Meeqqat Peqqissut: A register-based study exploring social and health determinants of child well-being in Kalaallit Nunaat (Greenland).

The Meeqqat Peqqissut project is a register-based study in Kalaallit Nunaat (Greenland) that integrates cross-sectoral administrative data within an Indigenous, strengths-based framework to comprehensively analyze the social and health determinants of child well-being and inform evidence-based policies to reduce health inequalities.

Ottendahl, C. B., Seidler, I. K., Pedersen, L., Blaabjerg, A., Larsen, C. V. L.2026-06-29
📊 epidemiology

Adaptive multi-model ensembles for improved epidemic projections and decision support

This paper introduces an adaptive multi-model ensemble approach that dynamically selects individual model trajectories based on observed data to improve the accuracy of long-term epidemic projections and short-term forecasting while offering a resource-efficient alternative to traditional coordinated modeling efforts.

Fiandrino, S., Paolotti, D., Bay, C., Chinazzi, M., Davis, J. T., Bents, S. J., Perofsky, A. C., Turtle, J. A., Riley, P (…)2026-06-29
📊 epidemiology

Patient-reported symptom profiles in vitamin B12 deficiency and pernicious anaemia: A cross-sectional study using latent class analysis

This cross-sectional study utilized latent class analysis on 1,117 patient surveys to identify three distinct symptom burden subtypes in pernicious anaemia, revealing that high-burden patients experience significant neurological and mental health challenges with longer diagnostic delays and low treatment satisfaction, thereby supporting a shift toward tailored, symptom-guided management over current standardized protocols.

Morris, B. M., Thain, A., Coe Schweiger, B. M., Nexo, E., McCaddon, A., Wolffenbuttel, B. H. R., Green, R., Alpers, D. H (…)2026-06-26
📊 epidemiology

Burden of snakebite envenoming in northern Benin: A Retrospective Cross-Sectional Study in the Tchaourou District

This retrospective cross-sectional study in rural Tchaourou, Northern Benin, reveals a high incidence of snakebite envenoming (399 per 100,000 person-years) primarily affecting young farmers during the rainy season, with significantly higher complication rates linked to delayed or traditional treatment and low health center utilization.

Honvou, E., Deha, A. R. E., Zinsou, J. F., Logbo, E. P. M. A., Houeha, F., Greenberg, M., Clemens, R., Adegnika, A. A. (…)2026-06-25
📊 epidemiology

Psychosocial Factors Outweigh Short-Term Environmental Exposures in Subjective Cognitive Difficulties: A Causal AI Study

This causal AI study utilizing All of Us and BRFSS data reveals that while short-term environmental exposures show initial associations with subjective cognitive difficulties, these links largely attenuate when controlling for temporal variation, whereas psychosocial factors such as mental health burden, loneliness, and impaired social functioning demonstrate consistently stronger and more robust associations across multiple analytical frameworks.

Cao, C., Ma, S.2026-06-25
📊 epidemiology

Durability and Seasonal Variation in the Effectiveness of Nirsevimab over Three Seasons in Connecticut

This three-season study in Connecticut demonstrates that while nirsevimab remains highly effective against RSV-associated hospitalization for up to 12 months post-immunization, its overall protection against medically attended infections declines in subsequent seasons and is significantly influenced by the timing of local RSV circulation.

Xu, H., Aparicio-Llorente, C., Warren, J., Kennedy-Shaffer, L., Pitzer, V. E., Weinberger, D. M., Oliveira, C. R., PROVE (…)2026-06-24
📊 epidemiology

Dengue and chikungunya virus transmission in Kinshasa, Democratic Republic of the Congo

A 2021 serological study in Kinshasa, DRC, reveals substantial and age-dependent transmission of dengue and chikungunya viruses, particularly in peri-urban areas, highlighting an under-appreciated arboviral risk and the urgent need for enhanced surveillance in the region.

Sendor, R., Edwards, J. K., Banek, K., Mwandagalirwa, K., Lessler, J., Espinoza, D. O., Castillo, I., Vulu, F., Muvamba (…)2026-06-22
📊 epidemiology

Genetic and Shared Environmental Influences on Cancer Risk and Cross-Cancer Associations in Nordic Twins

This study of over 222,000 Nordic twins reveals that cancer risk is significantly driven by both heritable (28%) and shared environmental (40%) factors, with extensive genetic and environmental overlaps across different cancer sites underscoring the need to integrate familial exposures into risk prediction and prevention strategies.

Harris, J. R., Clemmensen, S. B., Adami, H.-O., Mucci, L. A., Kaprio, J., Hjelmborg, J. v. B.2026-06-22