Abstract
Objectives
The aim of this study is a descriptive presentation of cases of acute watery diarrhoea (AWD) that were presented to Aleppo University Hospital (AUH) during the recent cholera outbreak in Syria.Design
Prospective, observational, cohort study.Setting and participants
A total of 1061 patients with AWD were admitted to AUH during the timeframe of 20 September 2022 to 20 October 2022. The data collection was done through a structured questionnaire. This includes comprehensive clinical observation, laboratory analyses, therapeutic interventions and holistic case evaluations.Results
The analysis has revealed notable insights: a predominant proportion of patients (58.6%) were residents from urban areas and 40.3% were residents from rural areas. Intriguingly, a diverse range of potential infection sources emerged from patient data within our hospital, including uncontrolled well water, vegetables and faecal-oral transmission through contaminated street/fast food. At discharge, most patients were in good health (79.7%), followed by moderate health (17.6%) and poor health (2.3%), with a minimal percentage dying before discharge (0.4%). The most common complications reported at admission and during hospitalisation included electrolyte imbalance (28.2%), followed by severe dehydration (16.3%). In the follow-up period, the majority of patients exhibited good health (81.0%). Older patients (>60 years) had poorer outcomes, with 8.4% having poor health and 4.2% death rate.Conclusions
The study found results consistent with previous AWD outbreaks in developing countries like Yemen, Nigeria and Lebanon. Preventative measures like improving water sanitation and hygiene practices are essential to prevent future outbreaks and ease the strain on healthcare systems. Therefore, future studies must investigate the risk factors that increase the spread and the severity of the disease and investigate the best management method.Free full text
Original research
Acute watery diarrhoea cases during cholera outbreak in Syria: a cohort study
Abstract
Objectives
The aim of this study is a descriptive presentation of cases of acute watery diarrhoea (AWD) that were presented to Aleppo University Hospital (AUH) during the recent cholera outbreak in Syria.
Design
Prospective, observational, cohort study.
Setting and participants
A total of 1061 patients with AWD were admitted to AUH during the timeframe of 20 September 2022 to 20 October 2022. The data collection was done through a structured questionnaire. This includes comprehensive clinical observation, laboratory analyses, therapeutic interventions and holistic case evaluations.
Results
The analysis has revealed notable insights: a predominant proportion of patients (58.6%) were residents from urban areas and 40.3% were residents from rural areas. Intriguingly, a diverse range of potential infection sources emerged from patient data within our hospital, including uncontrolled well water, vegetables and faecal-oral transmission through contaminated street/fast food. At discharge, most patients were in good health (79.7%), followed by moderate health (17.6%) and poor health (2.3%), with a minimal percentage dying before discharge (0.4%). The most common complications reported at admission and during hospitalisation included electrolyte imbalance (28.2%), followed by severe dehydration (16.3%). In the follow-up period, the majority of patients exhibited good health (81.0%). Older patients (>60 years) had poorer outcomes, with 8.4% having poor health and 4.2% death rate.
Conclusions
The study found results consistent with previous AWD outbreaks in developing countries like Yemen, Nigeria and Lebanon. Preventative measures like improving water sanitation and hygiene practices are essential to prevent future outbreaks and ease the strain on healthcare systems. Therefore, future studies must investigate the risk factors that increase the spread and the severity of the disease and investigate the best management method.
Introduction
Acute watery diarrhoea (AWD) is a condition that typically lasts for less than 14 days and is caused by enterotoxigenic bacteria or viral infections in the gastrointestinal system. The bacterial aetiologies of AWD are diverse and can include Vibrio cholerae, Shigella spp, Salmonella spp, Escherichia coli or Campylobacter spp infections.
AWD outbreaks present significant challenges to healthcare systems due to their rapid onset and often unknown sources of infection. These outbreaks are frequently concentrated in areas where potential sources of infection, such as contaminated drinking water, inadequate water filtration infrastructure, animal exposure, and sewage-contaminated food and beverages are prevalent. The response and impact of these outbreaks vary between countries based on factors such as healthcare infrastructure, emergency response capabilities, food and water sanitation practices, and population awareness of infectious diseases. Alarmingly, several countries with historically low AWD rates have experienced recent outbreaks, with nearly 70106 reported AWD cases in three Middle Eastern and North African countries, according to the WHO’s December 2022 reports.1–3
Cholera, a waterborne intestinal infection transmitted through the faecal-oral route, is a well-known cause of AWD cases. Despite being easily treatable, cholera can become life-threatening if rehydration is delayed, leading to rapid volume depletion. While many developed countries successfully eradicated cholera years ago, low-income and middle-income countries continue to face occasional outbreaks.1 2 In late 2022, countries in the Eastern Mediterranean region, such as Iraq and Lebanon, reported significant cholera outbreaks, with Syria experiencing a resurgence of cholera after nearly two decades.3
By 10 December 2022, Syria had reported 61671 suspected and confirmed cholera cases, along with 100 deaths across its 14 governorates. The outbreak began on 10 September 2022, when the Ministry of Health (MoH) declared a cholera outbreak in Aleppo Governorate. Following this declaration, other governorates began to report cases of AWD and suspected cholera cases. The most affected areas included Deir Ez-Zor with 20103 cases, Idleb with 14142 cases, Raqqa with 12818 cases and Aleppo with 11617 cases, as indicated by reports from the WHO and the Syrian MoH. These reports also highlighted a case fatality rate of 0.2% and an overall cholera positivity rate of 46%.3
Despite the high prevalence of AWD and cholera outbreaks in the region, there is limited detailed information available on the quality of the response and patient outcomes during these emergencies. By examining the cases at Aleppo University Hospital (AUH) during the outbreak period, we aim to provide valuable insights into the effectiveness of response measures implemented by health authorities and the challenges encountered in managing AWD and cholera cases in a resource-limited environment. This information can inform future outbreak preparedness and response strategies, potentially reducing the morbidity and mortality rates associated with these infectious diseases.
This study focuses on reporting AWD cases at AUH in Aleppo Governorate during the outbreak from 20 September to 20 October. The objective is to assess the quality of the response and patient outcomes within 30 days of the cases being reported in order to gain a better understanding of the healthcare system’s management of AWD and cholera cases during this critical period.
Methods
Study design and participants
This study in Syria is a localised, longitudinal study involving individuals of all ages. We conducted a prospective cohort study to enhance our understanding of AWD and to collect a comprehensive and high-quality data set on the condition. Patients were admitted to AUH between 20 September 2022 and 20 October 2022. The process began with a request for verbal informed consent by physicians prior to the questionnaire administration, in compliance with the Strengthening the Reporting of Observational Studies in Epidemiology statement.4
Sample size calculation
The sample size for this study was calculated based on the estimated prevalence of AWD in the population. Using a conservative estimate of 2%, a confidence level of 95% and a margin of error of 0.5%, the required sample size was calculated to be 385 participants. To account for potential dropouts and incomplete data, we aimed to recruit more than 385 participants for this study during the chosen period for the study.
Ethical approval
The data used in this study were fully anonymised before being accessed by the authors.
Bias
The dean of the Faculty of Medicine, the heads of the Department of Internal Medicine and the Department of Paediatric Medicine, and the general director of AUH conducted an overall review and validation of the project. Medical staff members were also involved in the research. Investigators conducted fieldwork, with interviewers responsible for conducting interviews and collecting data, and doctors responsible for the health assessments. All efforts were made to ensure accurate registration of all data.
Data collection and variables
Patients were interviewed using a structured questionnaire to collect information on patient characteristics, including demographics (such as age, gender and place of residence), admission details (eg, dehydration, fluid loss and stool description), comorbidities and previous medications.
Clinical examinations and patient history data were recorded, including measurements of blood pressure and heart rate, and assessment of clinical symptoms such as diarrhoea, nausea, vomiting, fever, among others. Additionally, details on cholera diagnosis, laboratory findings, rehydration, management and follow-up were recorded. The questionnaire was designed following international standards.
All laboratory analyses were carried out by the central laboratory at AUH, including complete blood count and blood biochemistry (blood glucose, serum creatinine, urea, potassium, sodium).
Patients were categorised into five grades based on their health status using the American Society of Anesthesiologists (ASA) Physical Status Classification.5 Habits such as smoking and alcohol consumption were evaluated using the WHO’s Smoking and Tobacco Use Policy, which classifies patients into four categories: daily smoker, occasional smoker, former smoker and never smoker.6
The patients’ ages were categorised into several age groups. Patients were assessed, and their data were recorded during their hospital stay and 2weeks after discharge. Those whose condition did not improve after 2weeks were followed up for 30 days. Evaluation of patients occurred at discharge and 2weeks later, with classification into several health categories: good health, indicating the absence of symptoms or presence of mild symptoms from the recovery stage; moderate health, indicating ongoing disease symptoms without serious complications or organ damage; poor health, indicating disease complications and lack of improvement; and deceased patients. Complications of AWD were documented, and dehydration severity was evaluated. The Patient Data Collection Form is provided in online supplemental file A.
Supplementary data
Patient and public involvement
The patients did not participate in the questionnaire design, biological measurements or outcome measures; neither did they participate in the design, recruitment and conduct of the study. Furthermore, all patients or their families were informed about the use of the data for research purposes in this study.
Statistical methods
Patient data were entered into an Excel database and analysed using SPSS statistical software V.26.0. Descriptive statistics, such as frequencies and percentages, were used to summarise patients’ key results, including gender, age category, geographical location, shock index, ASA Classification and infection source. Quantitative variables were categorised, and frequencies and percentages for each category were calculated. Subgroup analyses by age groups for all primary study variables provided a comprehensive data assessment. The last observation carried forward technique was employed to address missing data, involving carrying forward the most recent recorded observation to fill in missing data points during follow-up. The follow-up period lasted 2weeks but extended up to a month for deteriorating patients. This method allowed for systematic management of missing data and ensured analyses were conducted using the most complete data set available.
Results
Main characteristics of the patients
A total of 1061 patients with AWD were admitted to AUH between 22 September and 22 October 2022, with a notable gender distribution showcasing 46.5% as male. The majority were in the middle-age category (30–60 years) and early childhood (<2 years). A predominant proportion of patients (58.6%) were residents from urban areas, and 40.3% were residents from rural areas. According to the ASA Score, 74.4% were healthy (ASA1).
In most cases (63%) patients could not define the infection source. It seems that the recent AWD outbreak in Syria is not associated with tap water contamination, as no clear clustering of cases was identified. Intriguingly, a diverse range of potential infection sources emerged from patient data within our hospital, including uncontrolled well water, vegetables (notably parsley and mint, might have been irrigated with contaminated water), and faecal-oral transmission through contaminated street food/fast food particularly those integrating vegetables. The summary of the patients' characteristics is shown in table 1.
Table 1
AWD cases | Per cent | Total | |
Gender (male, n) | 493 | 46.5 | 1061 |
Age category, years | 1061 | ||
<2 | 206 | 19.4 | |
2–5 | 99 | 9.3 | |
5–10 | 86 | 8.1 | |
10–18 | 140 | 13.2 | |
18–30 | 146 | 13.8 | |
30–60 | 289 | 27.2 | |
>60 | 95 | 9.0 | |
Geographical | 1058 | ||
Urban life | 620 | 58.6 | |
Rural life | 426 | 40.3 | |
Nomad life | 12 | 1.1 | |
Shock Index (SI) | 862 | ||
Under 0.6 | 52 | 6.0 | |
0.6~1 normal | 399 | 46.3 | |
1~1.4 | 268 | 31.1 | |
1.4–2 | 126 | 14.6 | |
More than 2 | 17 | 2.0 | |
ASA classification | 1061 | ||
ASA I | 789 | 74.4 | |
ASA II | 224 | 21.1 | |
ASA III | 42 | 4.0 | |
ASA IV | 6 | 0.6 | |
ASA V | 0 | ||
Infection source (as reported by patient) | 1061 | ||
Contaminated fruits | 25 | 2.4 | |
Contaminated water | 2 | 0.2 | |
Corn cobs | 1 | 0.1 | |
Falafel, peanut and fatteh | 15 | 1.4 | |
Fast food | 57 | 5.4 | |
Fish | 1 | 0.1 | |
Ice cream | 11 | 1.0 | |
Ice cubes | 15 | 1.4 | |
Meat | 4 | 0.4 | |
Milk | 13 | 1.2 | |
Rice | 1 | 0.1 | |
Swimming in a contaminated pool | 3 | 0.3 | |
The infection passed from his/her family | 30 | 2.8 | |
Vegetables such as parsley and mint | 136 | 12.8 | |
Well water | 79 | 7.4 | |
Unknown | 668 | 63.0 |
ASA, American Society of Anesthesiologists; ASA I, healthy person; ASA II, mild systemic disease; ASA III, severe systemic disease; ASA IV, a moribund person who is not expected to survive without the operation or severe systemic disease that is a constant threat to life.; ASA V, a declared brain-dead person whose organs are being removed for donor purposes; AWD, acute watery diarrhoea.
Clinical manifestations and laboratory findings
The most frequent clinical manifestations of the patients besides diarrhoea were nausea and vomiting, and abdominal cramps (73.6% and 54.3%, respectively). Except for leucocyte count, most of the patients had normal laboratory tests. 47.6% of patients had haemoglobin between 10 g/dL and 17g/dL. Platelets were also within the normal range in 77.5% of patients. On the other hand, 55.8% of patients had white blood cells over 10×109/L. All laboratory tests and clinical manifestations are demonstrated in detail in table 2.
Table 2
AWD cases | Per cent | Total | |
Clinical presentation in addition to diarrhoea | |||
Nausea and vomiting | 781 | 73.6 | 1061 |
Abdominal cramps | 576 | 54.3 | 1061 |
Other | 139 | 13.1 | 1061 |
Severity of dehydration | 1003 | ||
Severe | 174 | 17.3 | |
Some | 507 | 50.5 | |
None | 322 | 32.1 | |
Laboratory findings | |||
Haemoglobin (g/dL) | 845 | ||
Less than 10 | 197 | 23.3 | |
10–12 | 243 | 28.8 | |
12–17 | 387 | 45.8 | |
More than 17 | 18 | 2.1 | |
Platelets (103/µL) | 821 | ||
Less than 15 | 3 | 0.4 | |
15–30 | 6 | 0.7 | |
30–50 | 4 | 0.5 | |
50–150 | 50 | 6.1 | |
150–450 | 636 | 77.5 | |
More than 450 | 122 | 14.9 | |
Serum creatinine (mg/dL) | 812 | ||
Less than 0.6 | 311 | 38.3 | |
0.6–1.3 | 344 | 42.4 | |
More than 1.3 | 157 | 19.3 | |
Serum urea (mg/dL) | 821 | ||
10–50 | 639 | 77.8 | |
More than 50 | 182 | 22.2 | |
WBC (109/L) | 744 | ||
Less than 4.5 | 34 | 4.6 | |
4.5–10 | 295 | 39.7 | |
More than 10 | 415 | 55.8 | |
Random glucose (mg/dL) | 579 | ||
Less than 40 | 32 | 5.5 | |
40–120 | 365 | 63 | |
120–200 | 150 | 25.9 | |
More than 200 | 32 | 5.5 | |
Serum potassium (mEq/L) | 817 | ||
Less than 3.5 | 270 | 33 | |
3.5–5 | 516 | 63.2 | |
More than 5 | 31 | 3.8 | |
Serum sodium (mEq/L) | 814 | ||
Less than 135 | 352 | 43.2 | |
135–145 | 446 | 54.8 | |
More than 145 | 16 | 2 |
Severity of dehydration: severe (general inspection: lethargic, unconscious, floppy, eyes: sunken, dry, absent tears, unable to drink, drinks poorly), some (restless, irritable, sunken, tears absent, thirsty, drinks eagerly), none (general inspection well, alert, skin pinch normal, eyes normal, tears present, tongue moist, no thirst).
AWD, acute watery diarrhoea; WBC, white blood cells.
Patients management
The mainstay of treatment is aggressive volume repletion with adjuvant antibiotic therapy. 77.7% of patients needed intravenous rehydration, 33.4% were given lactated Ringer solution, and 23.6% received isotonic sodium chloride solution. Also, 65.7% were given oral rehydration salts. Regarding antibiotics, doxycycline and ciprofloxacin were prescribed in most cases (61%). Other antibiotics were also used in some cases, such as tetracycline, trimethoprim/sulfamethoxazole, furazolidone and others. The accurate proportions are shown in table 3.
Table 3
AWD cases | Per cent (of total AWD cases) | |
Intravenous rehydration | ||
Lactated Ringer solution | 354 | 33.4 |
Isotonic sodium chloride solution | 250 | 23.6 |
Other | 138 | 20.7 |
Total | 728 | 68.6 |
ORS | 697 | 65.7 |
Antibiotic treatment | ||
Total | 682 | 64.3 |
Tetracycline | 7 | 0.7 |
Doxycycline | 328 | 30.9 |
Trimethoprim/sulfamethoxazole | 2 | 0.2 |
Furazolidone | 5 | 0.5 |
Ciprofloxacin | 319 | 30.1 |
Ampicillin | 0 | 0 |
Other | 233 | 22 |
Potassium supplementation | ||
Oral | 18 | 1.6 |
Intravenous | 233 | 22.0 |
Potassium-sparing diuretics | 3 | 0.3 |
Total | 254 | 23.9 |
AWD, acute watery diarrhoea; ORS, oral rehydration solution.
Outcome of the study
Among the 1061 cases, the majority of patients were discharged on the same day as admission (69.8%), with fewer discharged the following day (3.0%) or after a longer period (27.1%). A small percentage of patients required intensive care unit care (0.9%) and dialysis (1%). At discharge, most patients were in good health (79.7%), followed by moderate health (17.6%) and poor health (2.3%). A minimal number of patients passed away before discharge (0.4%).
Reported complications at admission and during hospital stays included severe dehydration (16.3%), electrolyte imbalance (28.2%), acute kidney injury (0.9%), shock (2.0%), hypoglycaemia (3.0%) and other issues (1.8%). The most common complications were electrolyte imbalance (28.2%) followed by severe dehydration (16.3%).
In the follow-up period, the majority of patients continued to show good health (81.0%), followed by moderate health (14.6%) and poor health (3.4%). A small number of patients passed away during follow-up, with four deaths at AUH and six at other hospitals (0.9% in total) (table 4).
Table 4
AWD cases | Per cent | Total | |
Patient discharge | 1061 | ||
Same day with admission | 741 | 69.8 | |
Next day | 32 | 3.0 | |
After | 288 | 27.1 | |
Need for intensive care unit | 10 | 0.9 | 1061 |
Need for dialysis | 9 | 1 | 907 |
Patient health at discharge* | 1061 | ||
Good | 846 | 79.7 | |
Moderate | 187 | 17.6 | |
Poor | 24 | 2.3 | |
Died before discharge | 4 | 0.4 | |
Complications at admission and in the hospital | |||
All | 411 | 38.7 | 1061 |
Severe dehydration | 173 | 16.3 | 1061 |
Electrolyte imbalance | 299 | 28.2 | 1061 |
Acute kidney injury | 10 | 0.9 | 1061 |
Shock | 21 | 2 | 1061 |
Hypoglycaemia | 32 | 3 | 1061 |
Other | 19 | 1.8 | 1061 |
Patient’s health after follow-up | 1061 | ||
Good | 858 | 81.0 | |
Moderate | 155 | 14.6 | |
Poor | 36 | 3.4 | |
Died | 10 (4 in AUH and 6 in another hospital) | 0.9 |
*Good health: the patient no longer had any symptoms or mild symptoms from the convalescent stage. Moderate health: the patient is still suffering from the symptoms of the disease, but without any serious complications or damage to the organs. Poor health: the patient suffers from complications of the disease and his condition is poor and has never improved.
AUH, Aleppo University Hospital; AWD, acute watery diarrhoea.
In the subgroup analysis 2weeks to 1month postadmission, the majority of patients in all age groups exhibited positive health outcomes, ranging from 69.5% to 88.9%. The Age 7 (>60 years) category had the highest percentage of patients with poor health outcomes at 8.4%, with the highest death rate in the same age group at 4.2%, followed by patients under 2 years at 1.5%. Overall, the data suggest varying health outcomes based on age, with younger individuals showing a higher likelihood of recovery compared with older age groups (online supplemental file 2).
Supplementary data
Discussion
Between September and October 2022, AUH admitted 1061 patients with AWD, most of whom were middle-aged or young children. The results of the 2017 outbreak in Yemen also show a similar pattern to our findings, with the middle-aged (15–49 years) and children (less than 15 years) groups being the most affected.7 8 In the same context, 69% of those infected with the Nigerian outbreak in 2005 were 15 years old and above, and 90% of the deaths were in this age group, according to Shittu et al, 9 as well as in the 2004 Nepal outbreak.10 What may explain these results is that these age groups are more exposed to known sources of infection than others. Women are slightly more affected, but there is no statistical significance for the incidence rates related to sex. This is due to the fact that cholera is an infectious disease. Data from Bangladesh confirm this finding.11
The previous outbreak in Syria does not appear to be linked to tap water contamination, but rather to potential sources such as uncontrolled well water and contaminated vegetables, similar to outbreaks in other countries like Yemen and Nigeria.7 9
The association of severe watery diarrhoea with nausea and vomiting in many unmanaged cases worsens the situation and leads the patient to dehydration and electrolyte disturbance, which may be dangerous in many cases. Only a few studies in the medical literature have highlighted this association, including the study that highlighted the AWD during the 2017–2019 Rohingya crisis in Cox’s Bazar, Bangladesh.10
We relied on case management based on what was previously known. We determined the amount and type of fluid resuscitation according to the level of volume depletion. Mild cases, which constitute most cases, were treated with oral rehydration. As for moderate and severe cases, urgent intravenous rehydration through lactated Ringer solution or isotonic sodium chloride solution was the key to restoring circulation. Nevertheless, antibiotics were also considered in many patients, and electrolyte replacement in selective patients.12
38.7% of patients experienced significant complications after being diagnosed with AWD. The most common complications were electrolyte imbalance (28.2%) and severe dehydration (16.3%). Other complications, such as acute kidney injury, volume shock and hypoglycaemia, occurred in smaller numbers. Additionally, only a small percentage of patients (0.4%) died while in the hospital. This is consistent with outbreaks in other countries. Iraq, for instance, confirmed 3063 cholera cases and 19 (0.6%) deaths, while Lebanon announced 5372 confirmed and suspected cholera cases with 23 (0.4%) deaths.4
This study has several limitations that impact the generalisability and validity of the findings. First, the limited sample size, as the study was conducted at AUH, may not accurately represent all cases of AWD in Syria. Additionally, selection bias was introduced as only cases admitted to the hospital were included, potentially skewing the results. The lack of long-term follow-up limited the assessment of outcomes beyond 30 days postdischarge. The study was limited to a specific region in Syria and may not be applicable to other regions with different healthcare settings, demographics and environmental factors.
Conclusion
This study has yielded descriptive results reminiscent of studies conducted during prior AWD outbreaks in developing countries like Yemen, Nigeria and Lebanon. We have outlined the sources of infection, including contaminated well water and vegetables. Regrettably, we observed a stagnation in outcomes, with no discernible improvement in terms of morbidity or mortality compared with past outbreaks. Consequently, it is imperative that future research endeavours delve deeper into the risk factors that contribute to the proliferation and severity of the disease, as well as explore optimal management strategies.
Supplementary Material
Footnotes
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Collaborators: Aalaa Mohammed nedal Al shalabi, [email protected], 0000-0002-2435-7317; Alaa Fawaz Dasouki, [email protected], 0000-0002-4856-7351; Abdulrhman Breij, [email protected], 0000-0002-4166-2954; Ahmad Ryyan Shheibar, [email protected], 0000-0001-9859-8255; Ahmed Alabdullah, [email protected], 0000-0003-1103-3601; Alaa Wais, [email protected], 0000-0002-2342-4709; Abd Alazeez Atli, [email protected], 0000-0001-7951-3869; Amira Fathi Breis, [email protected], 0000-0003-0579-8368; Bakri Roumu Jamal, [email protected], 0000-0003-0903-0794; Baraa Ahmad Abduljalil, [email protected], 0000-0003-2519-2339; Batoul Mohammed Mashhadi, [email protected], 0000-0003-2682-7404; Batoul Shyah, [email protected], 0000-0002-8573-3726; Bayan Zitani, [email protected], 0000-0002-6874-1476; Fatima Breim, [email protected], 0000-0003-2081-3490; Ghina Maarawi, [email protected], 0000-0001-9610-1751; Hala Jafa, [email protected], 0000-0002-6984-0484; Heba Haj Saleh, [email protected], 0000-0002-9979-4087; Hiba Bathish, [email protected], 0000-0003-4621-8630; Ibrahim AL mhawsh, [email protected], 0000-0003-0421-9352; Ibrahim Arnaout, [email protected], 0000-0002-6498-3822; Joud Khalili, [email protected], 0000-0002-0473-3856; Joud Markaby, [email protected], 0000-0002-7813-8494; Joudy Karh Damour, [email protected], 0000-0002-3290-0738; Lama Kanaa, [email protected], 0000-0003-2871-557X; Lana issa Kitan, [email protected], 0000-0002-3766-6274 Leen Jaber, [email protected], 0000-0001-6598-0853; Leen Tfnkjy, [email protected], 0000-0002-2844-7440; Leen Zoheir Amaraya, [email protected], 0000-0001-6285-7745; Maher Moaammar Zeno, [email protected], 0000-0002-3744-8541; Manar Haitham Nayef, [email protected], 0000-0003-0687-5468; Maram Ahmad Mobaid, [email protected], 0000-0001-7716-8299; Mawya Ghassan Alrawi, [email protected], 0000-0003-1544-2306; Maysoon Mohammad Jadid, [email protected], 0000-0001-8510-4172; Mohamad Ali Farho, [email protected], 0000-0002-3277-2270; Mohamad Amin Kreid, [email protected], 0000-0002-5793-0693; Mohamad Nabhan Sawas, [email protected], 0000-0003-4060-6755; Mohamad Nour Martini, [email protected], 0000-0001-5711-391X; MOHAMED ALKHALIFA, [email protected], 0000-0002-6004-0261; Mohammed Al-mahdi Al-kurdi, [email protected], 0000-0002-1858-8450; Mona Abdulkader Haj mahmoud [email protected], 0000-0002-4613-099X; Mona Najib Barakat, [email protected], 0000-0002-1039-300X; Monzer Keblawy, [email protected], 0000-0002-9075-2446; Najlaa Mohammad Rabee Fjleh, [email protected], 0000-0002-5169-081X; Nour Mohammed raed Arab, [email protected], 0000-0003-2937-2054; Ola Hamdan, [email protected], 0000-0002-1025-8991; Ola Fateh Alkhallouf, [email protected], 0000-0002-4657-9666; Raneem Sattout, [email protected], 0000-0002-3201-4779; Rasha Yossef Al Ibrahim, [email protected], 0000-0001-8662-5367; Rasha Abdullah Al aouir, [email protected], 0000-0002-6330-420X; Rima Modabbes, [email protected], 0000-0003-1343-6383; Roua Arian, [email protected], 0000-0002-3242-3388; Saad Haykal, [email protected], 0000-0003-2510-858X; Sabah Faour, [email protected], 0000-0002-8808-9032; Salam Yones Al-wannous, [email protected], 0000-0002-4278-9615; Saleh Bourghol, [email protected], 0000-0003-1342-7073; Salma Alkurayem, [email protected], 0000-0002-3996-1779; Sana Ahmad Masoud, [email protected], 0000-0001-8577-0263; Sedra Mohammad Anas helou, [email protected], 0000-0003-1463-4824; Shahed Ammar Rihawi, [email protected], 0000-0002-8582-3430; shaimaa radwan, [email protected], 0000-0001-7059-5722; Sima Mohannad Sagheer, [email protected], 0000-0003-4860-6039; Toka Adna, [email protected], 0000-0001-8304-5893; Wael Najeb, [email protected], 0000-0001-9155-8525; Wafaa Jawesh, [email protected], 0000-0001-5301-8763; Wesam Hritani, [email protected], 0000-0002-6277-5704; Yahya Dordi, [email protected], 0000-0002-5401-8068; Yamama Alali, [email protected], 0000-0001-7350-0370; Yasmen Saber Toffaha, [email protected], 6647-1254-0002-0000; Zein A Alsayed-Ahmad, [email protected], 0000-0001-7505-1521; Rayan Badawi, [email protected], 0000-0002-4685-631X; Ghina Motaz Ghannam, [email protected], 0000-0002-4772-022X; Mahmoud Mohamad Mohamad Alhasan, [email protected], 0000-0001-8958-8872; Abdullah Mohammed Al-Nabbash, [email protected], 0000-0002-3180-0663; Ayah Kouli, [email protected], 0000-0002-6306-3354; Toula Bayaa, [email protected], 0000-0003-3186-0794; Osama Abd Alhaji, [email protected], 0000-0003-4218-7443; Ibrahim Al Tabbaa, [email protected], 0000-0001-7077-2418; Mary Alakkash, [email protected], 0000-0002-4844-1708; Shamma Alaa Aldeen Alothman, [email protected]; Fatima Abazid [email protected], 0000-0002-8876-8553; Rima Saad Taleb, [email protected]; Bayan Rokia, [email protected], 0009-0002-1844-7313; Ahmad Saher Aljarad, [email protected], 0000-0002-0728-4179; Dimah Tarabelsi, [email protected], 0000-0002-6262-9133; Amr Hamza [email protected], 0000-0001-6520-3595; Ahmad Fadel Karaze, [email protected], 0000-0002-9775-2748; Eman Abdulrahman Ibrahim, [email protected], 0000-0002-1560-2771; Hasan Hamsho, [email protected], 0000-0002-9924-4691; Ola Ramadan, [email protected], 0000-0003-2251-5462; Ola Alzalek, [email protected], 0000-0001-7827-8094; Noor Masri, [email protected], 0000-0003-4372-4853; Abdullah Ahmad Mohammad Mano, [email protected], 0000-0003-4843-8514; Wajeh Kurdi, [email protected], 0000-0001-5721-2141; Arij Assi, [email protected], 0000-0002-3020-4317; Fatima Abazid, [email protected], 0000-0002-8876-8553; Tasnim Zakaria Bathish, [email protected], 0009-0001-7544-6889.
Contributors: AYA is the guarantor responsible for the study. AYA played a key role in coordinating the study, designing the study, developing the methodology, validating the findings, conducting data analysis, interpreting the data and contributing to the original draft of the manuscript, as well as review of the final version. YN contributed to the writing of the original draft and provided critical feedback during the manuscript review process. MNS was involved in data collection, data cleaning, writing the original draft and reviewing the manuscript. TJA was responsible for writing the original draft of the manuscript and contributing to data interpretation. MAF participated in data collection, writing the original draft and reviewing the manuscript. HA and KA provided input in writing the original draft and contributed to data interpretation. BS and MH served as study coordinators and validated the study. BBM, MBM, FK and ZA provided scientific supervision, validated the study and critically reviewed the manuscript. The AUH Team played a critical role in data collection for this study.
Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
Data availability statement
Data are available upon reasonable request. The creation of a data set consisting of over 1000 patients with AWD during the 2022 cholera outbreak in Aleppo, Syria, along with detailed patient observations, is of great significance. Through the documentation and analysis of this extensive data set, we are better equipped to comprehend the characteristics, trends and outcomes of cholera cases during this specific outbreak. This data set can serve as a valuable resource for public health officials, researchers and healthcare providers as they develop more effective strategies for the prevention, treatment and control of cholera in similar settings. The data set is accessible through the corresponding author. We encourage any research group interested in using these data to submit a research proposal outlining background information, research questions, methods and authorship for potential collaborations. All research proposals will undergo review by a scientific committee. Furthermore, proper citation is required when referencing or using these research data in order to acknowledge the source and credit the original researchers and contributors. Adherence to these guidelines upholds transparency, ethics and integrity in the utilization of the valuable data gathered and analysed in this study.
Ethics statements
Patient consent for publication
Consent obtained directly from patient(s).
Ethics approval
This study involves human participants and was conducted in accordance with the ethical standards outlined in the 1964 Declaration of Helsinki and its subsequent amendments, following ethical approval from the ethics committee at the Faculty of Medicine, University of Aleppo, with registered reference number 1932, to ensure compliance with ethical standards and guidelines for research involving human subjects.
References
Articles from BMJ Open are provided here courtesy of BMJ Publishing Group
Full text links
Read article at publisher's site: https://doi.org/10.1136/bmjopen-2023-082385
Read article for free, from open access legal sources, via Unpaywall: https://bmjopen.bmj.com/content/bmjopen/14/5/e082385.full.pdf
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