ArticleNature communications2018
National and sub-national variation in patterns of febrile case management in sub-Saharan Africa.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06122259 (Multidisciplinary Surveillance and Investigation of Febrile Illness in Guinea), which is not on this map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Multidisciplinary Surveillance and Investigation of Febrile Illness in Guinea
Who cites it
35 citing papers in PubMed, 69 citations in OpenAlex.
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- A scoping review of the methods used to estimate health facility catchment populations for child health indicators in sub-Saharan Africa.Population health metrics · 2025Article
- Healthcare utilisation for febrile diseases in northern Tanzania: a randomised population-based cluster survey.BMJ global health · 2025Article
- Examining inequalities in spatial access to national health insurance fund contracted facilities in Kenya.International journal for equity in health · 2024Article
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- How socioeconomic status affected the access to health facilities and malaria diagnosis in children under five years: findings from 19 sub-Saharan African countries.Infectious diseases of poverty · 2023Article
- Patterns and trends of in-hospital mortality due to non-communicable diseases and injuries in Tanzania, 2006-2015.PLOS global public health · 2023Article
- Spatial variation and inequities in antenatal care coverage in Kenya, Uganda and mainland Tanzania using model-based geostatistics: a socioeconomic and geographical accessibility lens.BMC pregnancy and childbirth · 2022Article
- Lack of ownership of mobile phones could hinder the rollout of mHealth interventions in Africa.eLife · 2022Article
- Optimising scale and deployment of community health workers in Sierra Leone: a geospatial analysis.BMJ global health · 2022Article
- Geographic accessibility to public and private health facilities in Kenya in 2021: An updated geocoded inventory and spatial analysis.Frontiers in public health · 2022Article
- Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa.Communications medicine · 2022Article
- Defining service catchment areas in low-resource settings.BMJ global health · 2021Article
- Assessing the Effect of Global Travel and Contact Restrictions on Mitigating the COVID-19 Pandemic.Engineering (Beijing, China) · 2021Article
- Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger.BMJ global health · 2021Article
- The impact of child health interventions and risk factors on child survival in Kenya, 1993-2014: a Bayesian spatio-temporal analysis with counterfactual scenarios.BMC medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 4 countries.
Funding
Abstract
Given national healthcare coverage gaps, understanding treatment-seeking behaviour for fever is crucial for the management of childhood illness and to reduce deaths. Here, we conduct a modelling study triangulating household survey data for fever in children under the age of five years with georeferenced public health facility databases (n = 86,442 facilities) in 29 countries across sub-Saharan Africa, to estimate the probability of seeking treatment for fever at public facilities. A Bayesian item response theory framework is used to estimate this probability based on reported fever episodes, treatment choice, residence, and estimated travel-time to the nearest public-sector health facility. Findings show inter- and intra-country variation, with the likelihood of seeking treatment for fever less than 50% in 16 countries. Results highlight the need to invest in public healthcare and related databases. The variation in public sector use illustrates the need to include such modelling in future infectious disease burden estimation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.