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++++++++++++++++++++ 1 file changed, 267 insertions(+) create mode 100644 joss.05879/10.21105.joss.05879.crossref.xml diff --git a/joss.05879/10.21105.joss.05879.crossref.xml b/joss.05879/10.21105.joss.05879.crossref.xml new file mode 100644 index 0000000000..c24e27184e --- /dev/null +++ b/joss.05879/10.21105.joss.05879.crossref.xml @@ -0,0 +1,267 @@ + + + + 20240107T204354-13a5fc6713a84ef829243871a2b464efede120e4 + 20240107204354 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 01 + 2024 + + + 9 + + 93 + + + + inAccessMod: An R package to automate data downloading +and processing for AccessMod + + + + Pablo + Timoner + https://orcid.org/0000-0003-4757-4928 + + + Fleur + Hierink + https://orcid.org/0000-0002-2727-0540 + + + Loïc + Baecher + + + Caroline + Fuhrer + + + Nicolas + Ray + https://orcid.org/0000-0002-4696-5313 + + + + 01 + 07 + 2024 + + + 5879 + + + 10.21105/joss.05879 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.10466894 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/5879 + + + + 10.21105/joss.05879 + https://joss.theoj.org/papers/10.21105/joss.05879 + + + https://joss.theoj.org/papers/10.21105/joss.05879.pdf + + + + + + AccessMod 3.0: Computing geographic coverage +and accessibility to health care services using anisotropic movement of +patients + Ray + International Journal of Health +Geographics + 1 + 7 + 10.1186/1476-072X-7-63 + 1476-072X + 2008 + Ray, N., & Ebener, S. (2008). +AccessMod 3.0: Computing geographic coverage and accessibility to health +care services using anisotropic movement of patients. International +Journal of Health Geographics, 7(1), 63. +https://doi.org/10.1186/1476-072X-7-63 + + + HeRAMS Strategic Framework + WHO + 2022 + WHO. (2022). HeRAMS Strategic +Framework. +https://www.who.int/publications/m/item/herams-strategic-framework + + + Vulnerability to snakebite envenoming and +access to healthcare in the Terai region of Nepal: A geospatial +analysis + Ochoa + The Lancet Regional Health - Southeast +Asia + 9 + 10.1016/j.lansea.2022.100103 + 2023 + Ochoa, C., Rai, M., Babo Martins, S., +Alcoba, G., Bolon, I., Ruiz de Castañeda, R., Sharma, S. K., Chappuis, +F., & Ray, N. (2023). Vulnerability to snakebite envenoming and +access to healthcare in the Terai region of Nepal: A geospatial +analysis. The Lancet Regional Health - Southeast Asia, 9, 100103. +https://doi.org/10.1016/j.lansea.2022.100103 + + + Improving the efficiency of scale-up and +deployment of community health workers in Mali: A geospatial +analysis + Oliphant + PLOS Global Public Health + 10 + 2 + 10.1371/journal.pgph.0000626 + 2767-3375 + 2022 + Oliphant, N. P., Sy, Z., Koné, B., +Berthé, M., Beebe, M., Samake, M., Diabaté, M., Tounkara, S., Diarra, +B., Diarra, A. B., Diawara, C. H., Yakimova, T., Florisse, S., Jackson, +D., Ray, N., & Doherty, T. (2022). Improving the efficiency of +scale-up and deployment of community health workers in Mali: A +geospatial analysis. PLOS Global Public Health, 2(10), e0000626. +https://doi.org/10.1371/journal.pgph.0000626 + + + Modelling geographical accessibility to +support disaster response and rehabilitation of a healthcare system: An +impact analysis of Cyclones Idai and Kenneth in +Mozambique + Hierink + BMJ Open + 11 + 10 + 10.1136/bmjopen-2020-039138 + 2044-6055 + 2020 + Hierink, F., Rodrigues, N., Muñiz, +M., Panciera, R., & Ray, N. (2020). Modelling geographical +accessibility to support disaster response and rehabilitation of a +healthcare system: An impact analysis of Cyclones Idai and Kenneth in +Mozambique. BMJ Open, 10(11), e039138. +https://doi.org/10.1136/bmjopen-2020-039138 + + + Spatial access inequities and childhood +immunisation uptake in Kenya + Joseph + BMC Public Health + 1 + 20 + 10.1186/s12889-020-09486-8 + 1471-2458 + 2020 + Joseph, N. K., Macharia, P. M., Ouma, +P. O., Mumo, J., Jalang’o, R., Wagacha, P. W., Achieng, V. O., Ndung’u, +E., Okoth, P., Muñiz, M., Guigoz, Y., Panciera, R., Ray, N., & +Okiro, E. A. (2020). Spatial access inequities and childhood +immunisation uptake in Kenya. BMC Public Health, 20(1), 1407. +https://doi.org/10.1186/s12889-020-09486-8 + + + Access to emergency hospital care provided by +the public sector in sub-Saharan Africa in 2015: A geocoded inventory +and spatial analysis + Ouma + The Lancet Global Health + 3 + 6 + 10.1016/S2214-109X(17)30488-6 + 2018 + Ouma, P. O., Maina, J., Thuranira, P. +N., Macharia, P. M., Alegana, V. A., English, M., Okiro, E. A., & +Snow, R. W. (2018). Access to emergency hospital care provided by the +public sector in sub-Saharan Africa in 2015: A geocoded inventory and +spatial analysis. The Lancet Global Health, 6(3), e342–e350. +https://doi.org/10.1016/S2214-109X(17)30488-6 + + + Implementation manual for developing a +national network of maternity units - Improving Emergency Obstetric and +Newborn Care (EmONC). UNFPA + UNFPA + 2020 + UNFPA. (2020). Implementation manual +for developing a national network of maternity units - Improving +Emergency Obstetric and Newborn Care (EmONC). UNFPA (p. +165). + + + Nigeria - Accessibility to EmONC facilities +in the State of Cross River. USAID + USAID + 2016 + USAID. (2016). Nigeria - +Accessibility to EmONC facilities in the State of Cross River. USAID (p. +61). + + + Investing the Marginal Dollar for Maternal +and Newborn Health (MNH): Accessibility to EmOC services in Burkina +Faso + WHO + 2015 + WHO. (2015). Investing the Marginal +Dollar for Maternal and Newborn Health (MNH): Accessibility to EmOC +services in Burkina Faso. + + + Investing the Marginal Dollar for Maternal +and Newborn Health (MNH): Accessibility to EmOC services in +Cambodia + WHO + 2015 + WHO. (2015). Investing the Marginal +Dollar for Maternal and Newborn Health (MNH): Accessibility to EmOC +services in Cambodia. + + + + + + From 10639a6918afed493f00a0bfc901b02fcdb28d33 Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Sun, 7 Jan 2024 20:44:27 +0000 Subject: [PATCH 3/4] Creating 10.21105.joss.05879.jats --- joss.05879/10.21105.joss.05879.jats | 513 ++++++++++++++++++++++++++++ 1 file changed, 513 insertions(+) create mode 100644 joss.05879/10.21105.joss.05879.jats diff --git a/joss.05879/10.21105.joss.05879.jats b/joss.05879/10.21105.joss.05879.jats new file mode 100644 index 0000000000..411b2845c4 --- /dev/null +++ b/joss.05879/10.21105.joss.05879.jats @@ -0,0 +1,513 @@ + + +
+ + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +5879 +10.21105/joss.05879 + +inAccessMod: An R package to automate data downloading +and processing for AccessMod + + + +https://orcid.org/0000-0003-4757-4928 + +Timoner +Pablo + + +* + + +https://orcid.org/0000-0002-2727-0540 + +Hierink +Fleur + + + + + +Baecher +Loïc + + + + + +Fuhrer +Caroline + + + + +https://orcid.org/0000-0002-4696-5313 + +Ray +Nicolas + + + + + +GeoHealth group, Institute of Global Health, Faculty of +Medicine, University of Geneva, Geneva, Switzerland + + + + +Health Resources and Services Availability Monitoring +System (HeRAMS) Initiative, World Health Organization Headquarters. +Geneva, Switzerland. + + + + +* E-mail: + + +30 +6 +2023 + +9 +93 +5879 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +R +GIS +geographical accessibility +health coverage + + + + + + Summary +

inAccessMod is an R package that simplifies + the process of downloading and preparing geospatial layers required + for AccessMod, an official software from the World Health Organization + (WHO) used to model physical accessibility to healthcare. The package + makes it easy to prepare all necessary inputs by automating tasks such + as data downloading, cropping, masking, projection, and resampling + with easy-to-use functions. inAccessMod + includes additional functions that help users modify inputs and + perform complex analyses like merging sub-national travel scenarios. + The package also facilitates handling of health facility data from The + Health Resources and Services Availability Monitoring System + (WHO/HeRAMS) + (WHO, + 2022), and performs specialized result assessments like ranking + of health facilities based on their coverage.

+
+ + Statement of need +

AccessMod is a free and open-source geospatial tool for modeling + physical accessibility of health services for a target population + (Ray + & Ebener, 2008). The software can help estimate the + proportion of target populations who may not receive care due to long + travel time or due to a lack of capacity in terms of staff or + equipment. Additionally, AccessMod can measure the time and distance + required for referring patients between different types of services, + and identify strategic locations to place new health facilities for + enhanced population coverage, as part of a scaling up analysis. + AccessMod is extensively used worldwide, with many applications + reported in peer-reviewed articles and other publications from + governmental and intergovernmental organizations (e.g., Ochoa et al. + (2023), + Oliphant et al. + (2022), + Hierink et al. + (2020), + Joseph et al. + (2020), + Ouma et al. + (2018), + UNFPA + (2020), + USAID + (2016), + WHO + (2015a), + and WHO + (2015b)).

+

To use AccessMod, users need several geospatial input layers + related to population, elevation, land cover, roads, barriers, + administrative boundaries, etc. These layers require downloading and + processing by users before being used in AccessMod. However, the + different GIS operations involved in pre-processing these input layers + can be time-consuming and might cause issues with data consistency and + quality.

+

inAccessMod provides a simple solution that + enables users to download and preprocess geospatial input layers + required for AccessMod quickly and easily. The package automates + several data processing tasks, including downloading corresponding + layers from popular sources like WorldPop, SRTM, Copernicus, + OpenStreetMap, and geoBoundaries. Users can automatically crop, mask, + project and resample the inputs by following straightforward + parametrizations provided by the package. A clear directory structure + is created with all datasets (Figure 1), facilitating their import + into Accessmod. The package also enables users to handle health + facility data from the WHO/HeRAMS system effectively.

+

Overall, inAccessMod simplifies the process + of preparing geospatial input layers for AccessMod into a quicker, + more reliable, and more user-friendly experience. Familiarity with GIS + and geospatial data formats is recommended to use + inAccessMod.

+ +

Figure 1: Example of the directory structure with all datasets + allowing for data from different time periods. There is a folder for + each input data, and corresponding subfolders for raw and processed + data.

+
+ + Main functions + + +

initiate_project: Allows starting a new + project by choosing the country and retrieving the official ISO + alpha-3 code.

+
+ +

download_boundaries: Downloads the + required administrative boundaries from the geoBoundaries + database.

+
+ +

set_projection: Sets the projected + coordinate reference system (CRS) for the project to ensure that + all input layers have a consistent projection.

+
+ +

HeRAMS_filter_hf: Filters the health + facility data based on user criteria (only compatible with + WHO/HeRAMS data).

+
+ +

HeRAMS_create_hf_shapefile: Creates a + shapefile of health facilities (only compatible with WHO/HeRAMS + data).

+
+ +

download_dem: Downloads the Digital + Elevation Model (DEM) raster for the country/area of interest from + the Shuttle Radar Topography Mission (SRTM) dataset.

+
+ +

download_population: Downloads the + population count raster for the target country/area from the + WorldPop project.

+
+ +

download_landcover: Downloads the land + cover raster for the country/area of interest from the Copernicus + Land Monitoring Service.

+
+ +

download_osm: Downloads road, river, + lake, and other natural barriers shapefiles from the OpenStreetMap + (OSM) platform

+
+ +

process_inputs: Processes all the raw + input data by cropping, masking, projecting, and resampling the + geospatial layers with customizable user parameters.

+
+ +

multi_ts: Handles different travel + scenarios for different administrative units.

+
+ +

compile_processed_data: Compiles all the + processed data into one single folder, making it easier to import + the input data into AccessMod.

+
+ +

hf_best_cov: Selects the health + facilities that provide the best population coverage based on + their catchments and a population raster.

+
+
+
+ + Installation +

This package requires R version 4.1.3 or later. It also requires + the following packages: crsuggest, + data.table, dplyr, + exactextractr, + fasterize, fs, + geodata, jsonlite, + lubridate, osmextract, + purrr, raster, + RCurl, readxl, + rgeoboundaries (version 0.0.0.9000 or later), + rmarkdown, sf, + stringi, stringr, + testthat, tibble, + utils, and writexl. + These dependencies should be installed automatically when + dependencies = TRUE is set in the command used + to install the package.

+ if (!require("devtools")) install.packages("devtools") +devtools::install_github("unige-geohealth/inAccessMod", + build_vignettes = TRUE, + dependencies = TRUE) +
+ + Author contributions +

Pablo Timoner authored the original version of the package, + developed the pipeline and majority of its functions, maintained the + package, wrote the documentation, debugged the code, and contributed + to the drafting of the article. Fleur Hierink wrote the initial code, + forming the base for the package’s main functions. Loïc Baecher was + responsible for the creation of the hf_best_cov + function core. Caroline Fuhrer assisted in conceptualizing the + HeRAMS-related functions. Nicolas Ray supervised the project and + participated in the article drafting process.

+
+ + Acknowledgements +

We acknowledge contributions from Andrew Curtis, Yaniss Guigoz, + Camille Chênes, Carlos Ochoa and Zeynabou Sy for their help in testing + the package. Their input and feedback were crucial in identifying and + resolving technical issues, ensuring the accuracy and reliability of + the results.

+
+ + + + + + + RayNicolas + EbenerSteeve + + AccessMod 3.0: Computing geographic coverage and accessibility to health care services using anisotropic movement of patients + International Journal of Health Geographics + 2008 + 20221122 + 7 + 1 + 1476-072X + http://ij-healthgeographics.biomedcentral.com/articles/10.1186/1476-072X-7-63 + 10.1186/1476-072X-7-63 + 63 + + + + + + + WHO + + HeRAMS Strategic Framework + 2022 + https://www.who.int/publications/m/item/herams-strategic-framework + + + + + + OchoaCarlos + RaiMamit + Babo MartinsSara + AlcobaGabriel + BolonIsabelle + Ruiz de CastañedaRafael + SharmaSanjib Kumar + ChappuisFrançois + RayNicolas + + Vulnerability to snakebite envenoming and access to healthcare in the Terai region of Nepal: A geospatial analysis + The Lancet Regional Health - Southeast Asia + 202302 + 20230417 + 9 + https://linkinghub.elsevier.com/retrieve/pii/S2772368222001196 + 10.1016/j.lansea.2022.100103 + 100103 + + + + + + + OliphantNicholas P. + SyZeynabou + KonéBrehima + BerthéMohamed + BeebeMadeleine + SamakeMoussa + DiabatéMamoutou + TounkaraSalimata + DiarraBorodjan + DiarraAmadou B. + DiawaraCheickna H. + YakimovaTsvetana + FlorisseSonia + JacksonDebra + RayNicolas + DohertyTanya + + Improving the efficiency of scale-up and deployment of community health workers in Mali: A geospatial analysis + PLOS Global Public Health + + JoshiRohina + + 202210 + 20230417 + 2 + 10 + 2767-3375 + https://dx.plos.org/10.1371/journal.pgph.0000626 + 10.1371/journal.pgph.0000626 + e0000626 + + + + + + + HierinkFleur + RodriguesNelson + MuñizMaria + PancieraRocco + RayNicolas + + Modelling geographical accessibility to support disaster response and rehabilitation of a healthcare system: An impact analysis of Cyclones Idai and Kenneth in Mozambique + BMJ Open + 202011 + 20230417 + 10 + 11 + 2044-6055 + https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2020-039138 + 10.1136/bmjopen-2020-039138 + e039138 + + + + + + + JosephNoel K. + MachariaPeter M. + OumaPaul O. + MumoJeremiah + Jalang’oRose + WagachaPeter W. + AchiengVictor O. + Ndung’uEunice + OkothPeter + MuñizMaria + GuigozYaniss + PancieraRocco + RayNicolas + OkiroEmelda A. + + Spatial access inequities and childhood immunisation uptake in Kenya + BMC Public Health + 202012 + 20230417 + 20 + 1 + 1471-2458 + https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-020-09486-8 + 10.1186/s12889-020-09486-8 + 1407 + + + + + + + OumaPaul O + MainaJoseph + ThuraniraPamela N + MachariaPeter M + AleganaVictor A + EnglishMike + OkiroEmelda A + SnowRobert W + + Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: A geocoded inventory and spatial analysis + The Lancet Global Health + 201803 + 20230417 + 6 + 3 + https://linkinghub.elsevier.com/retrieve/pii/S2214109X17304886 + 10.1016/S2214-109X(17)30488-6 + e342 + e350 + + + + + + UNFPA + + Implementation manual for developing a national network of maternity units - Improving Emergency Obstetric and Newborn Care (EmONC). UNFPA + 2020 + 165 + + + + + + + USAID + + Nigeria - Accessibility to EmONC facilities in the State of Cross River. USAID + 2016 + 61 + + + + + + + WHO + + Investing the Marginal Dollar for Maternal and Newborn Health (MNH): Accessibility to EmOC services in Burkina Faso + 2015 + + + + + + WHO + + Investing the Marginal Dollar for Maternal and Newborn Health (MNH): Accessibility to EmOC services in Cambodia + 2015 + + + + +
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