key: cord-0944995-ofbp00vy
authors: Abd El-Raheem, Ghada Omer Hamad; Yousif, Maysoun Ahmed Awad; Mohamed, Doaa Salih Ibrahim; Farah, Ragaa Omer Gasmelsaid; Bukhari, Mohamed Elfatih Abdalla; Mohamed, Nehal Faysal Ezalden; Ahmad, Mohammednour Omer; Saeed, Braa Kamal Ismail
title: Extent of COVID-19 Healthcare Services of Isolation Center of Private Hospital across Khartoum State, Sudan
date: 2022-03-23
journal: J Environ Public Health
DOI: 10.1155/2022/6745813
sha: 11c818fd07264e9250e380b29e228c4db7ac6227
doc_id: 944995
cord_uid: ofbp00vy

INTRODUCTION: Spatial presentation is considered a useful tool for analyzing and mapping the frequencies of incidences of different pathogens. Khartoum State accounted for 78% of the overall cases of COVID-19 in Sudan. The aim of this study was to present the spatial extent of healthcare services of a private isolation center during the pandemic at the locality level. MATERIALS AND METHODS: A spatial descriptive study was conducted using ArcGIS to present the locations of all COVID-19 patients who attended Imperial Hospital isolation center on November–December 2020 in Khartoum, Sudan. RESULTS: Patients diagnosed with COVID-19 during the study period were 188; they had attended Imperial Hospital from 9 states. Patients from Khartoum State were 167 patients. Of those 167 patients, 75 were from the Khartoum locality; it is the locality in which Imperial Hospital is located, followed by Khartoum Bahri (34 patients), Omdurman (19 patients), and South Khartoum (14 patients), while 10 patients each were from the Sharg En Nile and Karary localities. CONCLUSION: Patients from 8 different states of Sudan had travelled to reach Khartoum State to get health services. At the state level, Khartoum State was the most benefited state from the healthcare services of Imperial Hospital. At a locality level, Khartoum locality was the most benefited one.

Coronavirus 19 (COVID-19) is an emergent global health situation; it was declared a pandemic by the WHO [1] . Even though this virus might cause mild disease in many people, the course of infection and illness might be severe, leading to hospitalization and even death among the elderly population or those with comorbid conditions [2] . e global spread of the COVID-19 pandemic led to massive socioeconomic and health issues across the whole world. is pandemic continues to gallop worldwide, and this situation tests the capacity of hospitals and the strength of healthcare systems [3] . e spatial presentation has been considered as a useful tool for analyzing spatial epidemiology through mapping and analyses of spatial and spatial-temporal frequencies of incidences of different pathogens [4] . Spatial-based techniques are used to properly understand and investigate outbreaks. As well as, analyze the epidemiological risks providing a relevant tool for healthcare management [5] . Based on the low healthcare capacity, identification of high-risk areas is a logical step for developing more effective strategies to mitigate the risk where the more susceptible populations are located [5, 6] . e most important features of pandemics are spatial dissemination and transmission. ose features depend mainly on spreading mechanisms, human mobilization, and pandemic control strategies [7] . To properly understand the complete dynamics of this pandemic, we need a subnational level data analysis; this allows us to account for the geographical variations between different populations for the provision of healthcare services [8] . Poor public health foundation is the main limitation and disadvantage in the strategies against the COVID-19 pandemic. It increases the risk of spread [9] . As per United Nations reports, Khartoum State accounted for 78% of the overall COVID-19 cases in Sudan [10] . e aim of this study was to present the spatial extent of healthcare services during the COVID-19 pandemic to assess the capacity of health coverage at the locality level. e rationale of this study during the ongoing pandemic was to present the spatial extent of healthcare services of an isolation center in Khartoum State. is spatial presentation is helpful for Sudan as it provided the areas covered with the medical care of COVID-19 patients during the pandemic.

is will help concerned authorities identify the spatial gaps in healthcare services.

A descriptive study was conducted to record the residences and locations of all COVID-19 patients who attended Imperial Hospital isolation center in November and December 2020 in Khartoum State, Sudan. Imperial Hospital is a 60bed hospital. It contains three isolation wards as well as an isolation emergency room. General isolation wards were a 2 with 10 bed capacity each, while the isolation ICU had a 5 bed capacity. Patients with suspected COVID-19 infection were admitted and quarantined in this tertiary care hospital. Nasal swabs were collected and tested for the presence of SARS-CoV-2 through the reverse transcriptase-polymerase chain reaction (RT-PCR) test. Once patients were confirmed as COVID-19 positive by the RT-PCR, they were shifted to the isolation ward. 188 patients who attended in November 2020 and December 2020 were involved in the study. e locations of the residences were requested from the patients and recorded. Patients gave their assent to provide their residences for this paper. e geographic information system (GIS) ArcGIS 10.3 was used to develop the maps at two levels; the state level and the localities of Khartoum State level. Data were entered as attribute tables to the ArcMap program. Microsoft Excel and the Statistical Package of Social Sciences (SPSS-23) were used in the data entry process. Longitude (LON) and latitude (LAT) coordinates of the states of Sudan and the localities of Khartoum State were used to present the locations in the thematic maps. Prevalence was calculated as cases per 10,000 populations. e kriging method was used to develop the risk map. A hotspot analysis was conducted to determine the clustered areas in the localities of Khartoum State. As well, the radius of the area covered by Imperial Hospital services was obtained through ArcMap.

Patients across the States of Sudan. Imperial Hospital is a private tertiary hospital with isolation centers for COVID-19 patients. It is located in Khartoum city, Khartoum State. 188 patients attended Imperial Hospital during the second wave of the COVID-19 pandemic in November and December 2020. ose patients came to Imperial Hospital from 9 states of Sudan. e majority of the cases, 167 cases, were from Khartoum State, followed by Northern and El Gezira states, 8 and 4, respectively. e rest of the states had lower frequencies of patients (Figure 1 ). States and case distribution are described in Figure 1 .

Patients across the Localities of Khartoum State.

ere were 167 patients who attended Imperial Hospital which is located in Khartoum State. Khartoum State is comprised of 7 localities. Of the 167 patients, 75 were located in the Khartoum locality. In this locality, Imperial Hospital is located, followed by Khartoum Bahri locality, from which 34 patients have received COVID-19 care at Imperial Hospital. 19 patients were located in the Omdurman locality. 14 patients were located in the South Khartoum locality. On the other hand, 10 patients from Sharg En Nile and Karary localities each had reached for COVID-19 care in Imperial Hospital. e least number of patients were from Um Badda locality (5 patients). Figure 2 shows the thematic map describing the extent of healthcare services across the State of Khartoum.

On hotspot analysis of Khartoum State, the highest clustered area was Khartoum locality. Other localities were not significant for any clusters, Figure 3 . e population of Khartoum State per each locality was estimated for the year 2020 in Figure 3 . Um Badda and South Khartoum were the most habituated localities, followed by Shrag En Nile and Khartoum localities. Of those 4 highly habituated localities, Khartoum locality is the smallest in size. Most cases of COVID-19 were from the Khartoum locality, as it is the locality in which Imperial Hospital is located. Figure 4 illustrates the habitants and the cases at each locality in Khartoum State.

Patients across Khartoum State. e radius of Imperial Hospital Healthcare Services for COVID-19 patients was detected through buffer analysis. e 204 km radius was the extension of healthcare services for COVID-19 cases across Khartoum State localities. Figure 5 illustrates the radius of COVID-19 services provided by Imperial Hospital. e risk map in Figure 4 illustrates the prediction of COVID-19 infection across the state of Khartoum. All the state localities had the prevalence calculated as cases per 10000 population (Figure 6) 

Although Imperial Hospital is considered a small hospital, the extent of healthcare services has reached the state-level. Besides Khartoum State, other 8 states had benefited from the services of the isolation center of Imperial hospital. 88% of the cases were from Khartoum State; this might be related to the fact that Imperial Hospital is located in Khartoum, as well as reports have indicated that the majority of COVID-19 cases were located in Khartoum State [10] . We assessed the population density in each locality as the density of habitants was considered an important factor for COVID-19 risk [1] . In Khartoum State, all 7 localities were covered by the healthcare services of Imperial Hospital. Khartoum locality had a high density of habitats compared to its size, as highly populated areas particularly face high pandemic risks [7] . Urbanization involves the heavy habitation of populations in the cities [7] . at was the case with Khartoum locality in particular and Khartoum State in general. e Khartoum locality was the most benefited locality. is can be explained by the ease of accessibility to the hospital, as Imperial Hospital is located in this locality. Reaching out for healthcare services from distant areas has been a suffering issue, not only in Sudan but in India as well [9] . Some studies were concerned with nation-wide and state-level spatial analysis [1, 6, 11] , and other spatial studies presented their data at the provenance level [4, 8] as well as the district level [9] . Our study presented results at localities of Khartoum State, in a spatial presentation, unlike studies [1, 11] which were concerned with state-level COVID-19 risk. is study is similar in aspect to an Indian study of a tertiary hospital in Pune city, India, describing the spread of 197 cases across the city [2] . Besides the COVID-19 healthcare extension, this study showed wide variations in the number of populations across different localities. Some localities, such as Um Badda, Khartoum, and South Khartoum, had high populations compared to their sizes. While others such as Khartoum Bahri had a low population compared to the size of the locality. ese variations between sizes and densities of inhabitants have been reported in the provenances of Iran [4] . Prediction of the area at risk was presented as a risk map through the kriging method, while another study identified high-risk areas through bivariate maps describing ICU cases and mortality risk [6] . Here in Sudan, private hospitals had the equivalent capacity to receive COVID-19 patients and provide both inpatient and outpatient healthcare services; even home oxygen was provided by the hospital pharmacy for outpatients and discharged patients who had a moderate infection. Similar to governmental isolation centers, medications were also provided in addition to oxygen. Our study spatially described COVID-19 healthcare, while, in another study, COVID-19 mortality was described [8] . Alarmingly, our study showed that COVID-19 patients had to travel from 8 different states to reach Khartoum State to receive health services. e limitations of our study were the enrolment of a singlecenter for healthcare assessment. Moreover, the governmental section was not covered in this study. Another limitation was the low possibility of generalization of the results to other countries. Follow-up of patients for their outcome was not part of the objectives of this study. However, our results can be used as a part of the baseline data for assessing healthcare system coverage in Sudan during the pandemic.

At the state level, Khartoum State was the most benefited state from the healthcare services of Imperial Hospital. At a locality level, Khartoum locality was the most benefited one.

at might be related to the urbanization of the population and the ease of access to healthcare services. Furthermore, patients from different states of Sudan had traveled to reach Imperial Hospital for medical care. is issue needs to be addressed by concerned authorities.

Similar studies must be conducted to assess the extent of the healthcare system during the pandemic in Sudan, in both private and governmental sectors. is will allow specialists to locate the areas in need of healthcare centers and COVID-19 care services.

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Spatial analysis of COVID-19 spread in Iran: insights into geographical and structural transmission determinants at a province level

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COVID-19: district level vulnerability assessment in India

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A spatial-temporal description of the SARS-CoV-2 infections in Indonesia during the first six months of outbreak

e authors also acknowledge the cooperation of the participants during the data collection.

GIS:Geographic information system RT-PCR: Reverse transcriptase-polymerase chain reaction LAT:Latitude LON:Longitude.

All supporting data are available from the corresponding author on reasonable request.

Ethical approval was obtained from the medical administration of Imperial Hospital. e study proposal was submitted to the research administration at the State Ministry of Health (MOH), Khartoum. An expedited review was conducted by the Institutional Review Board of the MOH and approval was granted. Another copy of the proposal was submitted to the Administration of Private Medical Facilities.

Participants were asked for the locations of their residences through verbal assents to be used in this study. eir confidentiality was assured as no personal information was taken, only the residences. e collected data were used strictly for the study objectives. No clinical details of participants that might compromise their anonymity were used in the development of this manuscript titled "Extent of COVID-19 Healthcare Services of Isolation Center of Private Hospital across Khartoum state, Sudan."

e authors declare no conflicts of interest.

All authors have read the final manuscript and given their approval for publication. GOHA wrote the manuscript, developed the maps, and assisted in the data collection. MAAY collected the data, assisted in getting ethical approval, read the first draft of the manuscript, and proofread the final manuscript before submission. DSIM facilitated the administrative arrangements at Imperial Hospital, assisted in the data collection, and read the final manuscript before submission. ROGF collected the data and proofread the final manuscript before submission. MEAB collected the data and proofread the final manuscript before submission. NFEM collected the data and proofread the final manuscript before submission. ZMOA collected the data and proofread the final manuscript before submission. BKIS collected the data and proofread the final manuscript before submission.