Molecular detection and genetic characterisation of a large flood-borne outbreak of human leptospirosis in Jakarta, Indonesia: A retrospective analysis of surveillance data

by Ahmed Ibrahim World Editor

For the residents of Jakarta, the monsoon season often brings a familiar, dread-inducing rhythm: the darkening of the skies, the rapid rise of river levels, and the eventual transformation of city streets into murky brown rivers. But beneath the surface of these floods lies a hidden biological threat that turns a natural disaster into a public health crisis.

A comprehensive retrospective analysis has revealed the intricate mechanics of a significant leptospirosis outbreak in Jakarta that occurred between December 2019 and February 2020. The study, which analyzed surveillance data across nearly every subdistrict in the Indonesian capital, underscores a dangerous intersection between extreme weather, failing urban infrastructure, and the resilience of zoonotic bacteria.

The outbreak followed some of the most intense rainfall the city had seen in decades, with precipitation peaking at 377 millimeters per day in late December 2019. This deluge did more than displace thousands of people. it flushed Leptospira bacteria—carried in the urine of infected rodents and livestock—out of sewage systems and into the floodwaters where they could easily enter the human body through skin abrasions or mucous membranes.

In total, the analysis identified 282 cases, including 32 confirmed, 153 probable, and 97 suspected infections. The data highlights a stark demographic trend: the vast majority of those affected were adult males, typically exposed to contaminated water during the floods. This pattern reflects a common global trend in leptospirosis, where occupational exposure and gender-based roles in disaster response or labor increase risk.

The Geography of Infection

The distribution of the disease was not uniform across the megacity. West Jakarta emerged as the epicenter, reporting 162 cases—the highest incidence rate at 26.6 per 100,000 person-years. Researchers suggest this concentration is linked to the district’s specific topography, its proximity to the Java Sea, and a network of lakes and rivers that often struggle with slow drainage during heavy rains.

From Instagram — related to Java Sea, While West Jakarta

While West Jakarta bore the brunt, the bacteria spread throughout the city, with South Jakarta reporting 64 cases and East Jakarta 30. Interestingly, the study found that some non-flooded areas still reported cases, while some flooded subdistricts remained clear, suggesting that the presence of water is only one part of a more complex equation involving rodent density and sanitation quality.

The Geography of Infection
Closing the Diagnostic Gap One
Fig 2. Incidence rate of leptospirosis and spatial distribution of flood-affected subdistricts and districts from December 2019 through February 2020 in Jakarta.

The timeline of the outbreak followed a distinct biphasic pattern. A sharp peak in cases occurred between January 10 and 14, 2020, roughly two weeks after the initial extreme flooding events. This 10-to-14-day lag is attributed to the incubation period of the bacteria and the time required for patients to recognize symptoms and seek medical care.

Timeline of the leptospirosis outbreak in Jakarta
Fig 1. The timeline of the leptospirosis outbreak in Jakarta, with daily reported cases, precipitation data and the number of flood-affected subdistricts from December 2019 to February 2020.

Closing the Diagnostic Gap

One of the most critical findings of the research concerns how we detect this “neglected” disease. Leptospirosis is notoriously difficult to diagnose because its early symptoms—fever, muscle pain, and malaise—mimic many other tropical illnesses, including dengue fever. This often leads to misdiagnosis and delayed treatment.

Markers (Molecular/Genetic/DNA, Biochemical and Phenotypic)

The study compared two primary diagnostic methods: the Rapid Diagnostic Test (RDT), which looks for antibodies, and the more precise Real-time PCR (RT-PCR), which detects the bacteria’s genetic material. While the RDT was positive in 68% of tested cases, it often failed to detect infections in the very early stages of the illness.

By combining both methods, the detection rate jumped to 74.7%. Specifically, the RT-PCR identified five additional cases that the rapid tests had missed—all of whom had been febrile for fewer than seven days. This proves that molecular detection is essential for early intervention, which can prevent the disease from progressing to severe kidney failure or liver damage.

Study flow diagram for leptospirosis cases
Fig 3. Study flow diagram.

Urban Reservoirs and Genetic Fingerprints

Using Multi Locus Sequence Typing (MLST), researchers were able to identify the specific culprits behind the outbreak. The analysis revealed that two predominant species were circulating in Jakarta: Leptospira interrogans and L. Borgpetersenii.

Urban Reservoirs and Genetic Fingerprints
Southeast Asia

These species are common in rodent populations across Southeast Asia, but their presence in a densely populated urban center like Jakarta highlights the role of the city’s “invisible” residents. Sewer rats acting as reservoirs, combined with stray dogs and cats, create a persistent environmental load of the bacteria. When the sewers overflow, these pathogens are delivered directly into the streets.

Maximum Likelihood tree of Leptospira
Fig 5. Maximum Likelihood tree of Leptospira using concatenated sequences from MLST scheme 3 loci gene sequences alignment, constructed under GTR + G + I substitution model.

The research emphasizes that this is not merely a medical issue, but a failure of urban planning. Jakarta is facing a “perfect storm” of challenges: rapid land subsidence, rising sea levels, and inadequate drainage systems. These factors, compounded by the increasing intensity of rainfall due to climate change, make the city a natural incubator for flood-borne diseases.

Outbreak Summary: Jakarta Leptospirosis (Dec 2019 – Feb 2020)
Metric Value/Detail
Total Reported Cases 282
Hardest Hit District West Jakarta (162 cases)
Primary Risk Group Adult Males
Dominant Species L. Interrogans & L. Borgpetersenii
Peak Precipitation 377 mm/day

To mitigate future outbreaks, the study calls for a shift toward climate-resilient urban planning. This includes improving sanitation in high-density areas and implementing a more robust, laboratory-based surveillance system that does not rely solely on clinical symptoms.

Disclaimer: This article is for informational purposes only and does not constitute medical advice. Please consult a healthcare professional for diagnosis and treatment of any medical condition.

As Jakarta continues to struggle with subsidence and seasonal flooding, the next critical checkpoint will be the implementation of updated public health surveillance protocols by the Indonesian Ministry of Health to integrate molecular testing into routine outbreak responses.

Do you live in a flood-prone area? Share your experiences with urban resilience or ask a question in the comments below.

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