547 COVID-19 Patient Records from a Tanzanian Hospital, 74 Variables
by Gilbert Waria·Updated 1mo ago
197.7 KB1files
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Description
547 laboratory-confirmed COVID-19 patient records from Kilimanjaro Christian Medical Centre in Tanzania, spanning the first through fourth waves of the pandemic. The dataset contains 74 variables across demographic, clinical, laboratory, and outcome domains, with a mean patient age of 61.8 years and an in-hospital death rate of 34.6%. Gilbert Waria aggregated the data into a single Excel file, last updated in April 2026.
Use Cases
Predicting in-hospital mortality based on demographic and clinical variables like age, gender, and comorbidities.
Analyzing the prevalence and co-occurrence of presenting symptoms such as cough, shortness of breath, and fever.
Investigating associations between laboratory values (e.g., D-dimer, creatinine) and disease severity classifications.
Studying temporal trends in patient outcomes across the first four pandemic waves in a specific geographic region.
Strengths
Contains 547 confirmed patient records with detailed demographic and clinical profiles.
Includes 74 variables across multiple domains, providing a multi-faceted view of each case.
Specific outcome data is provided, with 189 recorded in-hospital deaths (34.6%).
Clinical details are precise, including prevalence rates for symptoms like cough (77.5%) and comorbidities like hypertension (46.6%).
Limitations
Laboratory variables carry substantial missingness ranging from 21% to 97%, limiting their utility for analysis.
Administrative fields such as ward and village are heavily incomplete (75–99% missing).
The dataset is small in scale at 197.7 KB, representing a single hospital's experience.
Provenance
Source
Kilimanjaro Christian Medical Centre (KCMC), a tertiary referral hospital in Northern Tanzania.
Collection Method
Retrospective collection from hospital records, aggregated from wave-specific files.
Time Range
Spans the first through fourth waves of the COVID-19 pandemic.
Freshness
Last updated 2026-04-22 11:50:51; freshness should be verified.
Geography
Northern Tanzania.
License is CC-BY-4.0. Primary data file is in XLSX format; a Stata (.dta) backup is also mentioned.