GET Journal of Biosecurity and One Health

GET Journal of Biosecurity and One Health

Mapping the Spatial Prevalence of Disease Using a Community-Centric Approach with Hexagonal Grid Tessellation: A Case of CKDu Incidences in Northern Yobe State, Nigeria

Authors: *1,2Babagana-Kyari M,3,4Yaro NA, 4Kabiru MY

1Department of Environmental Health and Safety, School of Health Sciences, Maryam Abacha American University, Maradi, Niger
2Centre for Environmental and Geographical Research, Yobe State University, Damaturu, Yobe State, Nigeria
3Department of Geography, Northwest University, Kano, Nigeria
4School of Public Health, Maryam Abacha American University of Nigeria, Kano
ORCI
D ID: https://orcid.org/0000-0002-8740-5494

GET Journal of Biosecurity and One Health, Volume 4, Issue1.

Article Keywords: Tessellation; Disease mapping; CKDu; Spatial prevalence; Qfield survey; Bade CKD.

DOI

Journal Volume & Issue

Volume 4, Issue 1

GET JOURNAL OF BIOSECURITY AND ONE HEALTH

Volume 1, No. 4, 2022

Pages 34-40

Ebola Survivors are not at Increased Risk for Gynecologic Surgeries

Gorpudolo-Dennis N1; Kennedy SB2*; Reilly C3 and Sankoh M1

1Department of Obstetrics and Gynecology, Redemption Hospital, New Kru Town, Montserrado County, Monrovia, Liberia.

2UL-PIRE Africa Center, An Infectious Disease Research Center, Ground Floor, Graduate School Building, University of Liberia, Monrovia, Liberia.

3Department of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA.

*Corresponding Author: Stephen B. Kennedy, MD, MPH, UL-PIRE Africa Center, An Infectious Disease Research Center
Ground Floor, Graduate School Building, University of Liberia, Monrovia, Liberia. Tel: +231 770 645 830

Orchid No: http://orcid.org/0000-0002-0318-930X

ABSTRACT

As the result of multiple signs and symptoms, and complications observed among survivors of the Ebola virus disease (EVD), there is an assumption that survivors might experience perturbations within their clotting parameters. This may eventually lead to increased bleeding time, predisposing them to increased risk for surgical complications. This study aimed to comparatively review specific intra-operative parameters such as uterine fibroids and polyps among a number of EVD survivors and non survivors undergoing elective gynecologic surgeries at Redemption Hospital, a tertiary specialized referral hospital located within one of the EVD hotspots, in Liberia from January to October 2016. A case-control study was conducted wherein cases were referred from the Partnership for Research on Vaccines and Infectious Diseases in Liberia (PREVAIL), an EVD clinical trial platform, while controls were sampled from the general patient population, at Redemption Hospital. The controls were matched based on age, employment status and parity. All surgeries were performed by single surgeon based on a surgical checklist that included designated intra- and post-operative parameters. Statistical analysis such as counts, percentiles, confidence intervals and relative risks were performed to assess the differences between the cases and controls, respectively. Survivors were between the ages of 42 years and 44 years for controls with an average interval between discharge from the Ebola Treatment Unit (ETU) and surgical intervention of greater than one year. The median duration of surgical procedure was 60 minutes and blood loss of 250 ml in both groups. Besides the relative risks (RR) of receiving antibiotics for more than 3 days of 1.5 (85.7% vs. 57.1%) and hospitalization of more than 7 days of 0.25 (14% vs. 57%) for survivors as compared to controls, most of the indicators were not significantly different. The findings revealed that EVD survivors who present with benign tumors such as uterine fibroids, polyps, or adenomyosis, requiring elective uterine surgery such as myomectomy and/or hysterectomy are generally not at increased risk of surgical complications because most of the indicators (hospitalization, blood loss, antibiotics, etc.) were not significantly different between the two groups. Findings from this study may potentially revise the approaches used by gynecologists and general surgeons during encounters and/or interventions with patient(s) concerning emerging infectious diseases (EIDs).

Keywords: Ebola Virus Disease (EVD), Emerging Infectious Diseases (EIDs), Ebola Survivors, Uterine Surgery, Females, Liberia

Abstract

Chronic Kidney Disease of unknown etiology (CKDu) poses a major public health challenge in Northern Yobe State, Nigeria, particularly in settings characterized by limited geocoded health records and weak disease surveillance systems. In such data-poor contexts, alternative methodological approaches are required to understand disease distribution and guide etiological investigations. This study demonstrates how CKDu spatial prevalence can be examined using a community-centric, GIS-based approach that relies on surveys of diagnosed CKD cases within victim households in a CKDu-endemic region of Yobe, integrating participatory data collection with open-source geospatial tools. Household-level data were collected through electronically administered questionnaires deployed via the KoboToolbox platform, supported by community leaders and implemented through snowball sampling over a 28-day period. Spatial analyses, including hexagonal grid-based tessellation, hotspot mapping, kernel density analysis, and spatial autocorrelation, were employed to visualize and quantify disease clustering. CKD incidence counts were aggregated within a uniform hexagonal grid, and spatial variability was classified using standard deviation–based incidence density categories to identify statistically meaningful concentration patterns across the study area. The analysis identified three distinct hotspots categorized by disease incidence density levels: high (7–10 cases), medium (3–6 cases), and low (1–2 cases). Spatial statistics derived from Moran’s I index yielded a value of 0.1046, with a z-score of 4.95 and a p-value of 0.000001, indicating a less than 1% probability that the observed clustering of CKD incidences occurred randomly. Overall, the findings demonstrate that CKDu occurrence in Northern Yobe State is spatially non-random and can be effectively characterized through GIS-based, community-centric approaches in data constrained regions. Thus, by generating spatially explicit evidence from diagnosed household cases, this methodology provides a robust foundation for targeted exploration of environmental risk factors and supports informed public health surveillance, environmental management, and policy interventions aimed at uncovering the aetiology
of heightened CKDu prevalence in Northern Nigeria.