The interrelationship between meteorological parameters and leptospirosis incidence in Hambantota district, Sri Lanka 2008–2017 and practical implications
| Autor: | Kusalika Ariyaratne, N. D. B. Ehelepola, Devani Sakunthala Dissanayake |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Bacterial Diseases
Atmospheric Science El Niño-Southern Oscillation Epidemiology Rain Evaporation Oceanography Geographical locations Medical Conditions Flooding Zoonoses Medicine and Health Sciences Climatology El Nino-Southern Oscillation Multidisciplinary Vaporization Incidence (epidemiology) Physics Incidence Condensed Matter Physics Leptospirosis El Niño Southern Oscillation Infectious Diseases Physical Sciences Population data Medicine Phase Transitions Research Article Neglected Tropical Diseases Asia Science Lag Wavelet Analysis Meteorology medicine Humans Practical implications Weather Sri Lanka medicine.disease Tropical Diseases Marine and aquatic sciences Earth Sciences Environmental science Indian Ocean Dipole Sri lanka People and places Hydrology |
| Zdroj: | PLoS ONE PLoS ONE, Vol 16, Iss 1, p e0245366 (2021) |
| ISSN: | 1932-6203 |
| Popis: | Background Leptospirosis is a bacterial zoonosis. Leptospirosis incidence (LI) in Sri Lanka is high. Infected animals pass leptospires to the environment with their urine. Leprospires' survival in the environment to infect a new host depends on meteorological factors. El Nino Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) modulate the weather in Sri Lanka. Objectives The determination of interrelationship between the LI in the Hambantota District, and local meteorological parameters, ENSO and IOD. Methods We acquired notified leptospirosis cases in the Hambantota District and population data. We calculated weekly leptospirosis incidences for 2008 to 2017.Weather data from two weather stations was obtained, averaged and converted into weekly data. We plotted time series graphs and observed the correlation between seven aggregated weather parameters and LI. We estimated cross-correlations between those weather parameters and LI. As our principal analysis we determined correlation between LI and seven local weather parameters, Nino 3.4, Nino4 and Dipole Mode Index (DMI) indices using wavelet analysis. Results Our wavelet analysis results showed troughs of minimum, maximum, mean temperatures, soil temperature, the evaporation rate, the duration of sunshine were followed by peaks in LI and peaks of rainfall followed by peaks of LI, all after lag periods. Our time series graphs and cross-correlation determination results are generally in agreement with these results. However there was no significant correlation between rainfall and LI in the cross-correlation analysis. There were peaks of LI following both peaks and troughs of DMI. There was no clear correlation between both Nino indices and LI. Discussion This may be the first long-term study demonstrating soil temperature, evaporation rate and IOD are correlating with LI. The correlation pattern of LI with temperature parameters differs from similar past studies and we explain the reasons. We propose ways to control high LI we observed after periods of weather favorable for transmission of leptospirosis. |
| Databáze: | OpenAIRE |
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