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National and sub-national variation in patterns of febrile case management in sub-Saharan Africa

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National and sub-national variation in patterns of febrile case management in sub-Saharan Africa. / Alegana, V.A.; Maina, J.; Ouma, P.O. et al.
In: Nature Communications, Vol. 9, No. 1, 26.11.2018.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Alegana, VA, Maina, J, Ouma, PO, Macharia, PM, Wright, J, Atkinson, PM, Okiro, EA, Snow, RW & Tatem, AJ 2018, 'National and sub-national variation in patterns of febrile case management in sub-Saharan Africa', Nature Communications, vol. 9, no. 1. https://doi.org/10.1038/s41467-018-07536-9

APA

Alegana, V. A., Maina, J., Ouma, P. O., Macharia, P. M., Wright, J., Atkinson, P. M., Okiro, E. A., Snow, R. W., & Tatem, A. J. (2018). National and sub-national variation in patterns of febrile case management in sub-Saharan Africa. Nature Communications, 9(1). https://doi.org/10.1038/s41467-018-07536-9

Vancouver

Alegana VA, Maina J, Ouma PO, Macharia PM, Wright J, Atkinson PM et al. National and sub-national variation in patterns of febrile case management in sub-Saharan Africa. Nature Communications. 2018 Nov 26;9(1). doi: 10.1038/s41467-018-07536-9

Author

Alegana, V.A. ; Maina, J. ; Ouma, P.O. et al. / National and sub-national variation in patterns of febrile case management in sub-Saharan Africa. In: Nature Communications. 2018 ; Vol. 9, No. 1.

Bibtex

@article{436053d6bbf3499db9e580cd695cc80d,
title = "National and sub-national variation in patterns of febrile case management in sub-Saharan Africa",
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. {\textcopyright} 2018, The Author(s).",
author = "V.A. Alegana and J. Maina and P.O. Ouma and P.M. Macharia and J. Wright and P.M. Atkinson and E.A. Okiro and R.W. Snow and A.J. Tatem",
year = "2018",
month = nov,
day = "26",
doi = "10.1038/s41467-018-07536-9",
language = "English",
volume = "9",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - National and sub-national variation in patterns of febrile case management in sub-Saharan Africa

AU - Alegana, V.A.

AU - Maina, J.

AU - Ouma, P.O.

AU - Macharia, P.M.

AU - Wright, J.

AU - Atkinson, P.M.

AU - Okiro, E.A.

AU - Snow, R.W.

AU - Tatem, A.J.

PY - 2018/11/26

Y1 - 2018/11/26

N2 - 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. © 2018, The Author(s).

AB - 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. © 2018, The Author(s).

U2 - 10.1038/s41467-018-07536-9

DO - 10.1038/s41467-018-07536-9

M3 - Journal article

VL - 9

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

ER -