Spatio-Temporal Pattern and Meteo-Climatic Determinants of Visceral Leishmaniasis in Italy

被引:15
作者
Moirano, Giovenale [1 ,2 ,3 ]
Ellena, Marta [4 ,5 ]
Mercogliano, Paola [5 ]
Richiardi, Lorenzo [1 ,2 ]
Maule, Milena [1 ,2 ]
机构
[1] Univ Torino, Canc Epidemiol Unit, Dept Med Sci, I-10126 Turin, Italy
[2] Univ Torino, CPO Piemonte, Dept Med Sci, I-10126 Turin, Italy
[3] Univ Torino, Post Grad Sch Med Stat, Dept Publ Hlth & Paediat, I-10126 Turin, Italy
[4] Univ Ca Foscari Venezia, Dept Environm Sci Informat & Stat, I-30172 Venice, Italy
[5] Fdn Ctr Euro Mediterraneo Cambiamenti Climat CMCC, Reg Models & Geohydrol Impact Div, I-81100 Caserta, Italy
关键词
environmental epidemiology; meteo-climatic impacts; spatio-temporal epidemiology; visceral Leishmaniasis; PHLEBOTOMINE SAND FLIES; ENVIRONMENTAL PARAMETERS; CANINE LEISHMANIASIS; EPIDEMIOLOGY; DIPTERA; PERNICIOSUS; EMERGENCE; BIOLOGY;
D O I
10.3390/tropicalmed7110337
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Historically, visceral leishmaniasis (VL) in Italy was constrained to Mediterranean areas. However, in the last 20 years, sand fly vectors and human cases of VL have been detected in northern Italy, traditionally classified as a cold area unsuitable for sand fly survival. We aim to study the spatiotemporal pattern and climatic determinants of VL incidence in Italy. National Hospital Discharge Register records were used to identify incident cases of VL between 2009 and 2016. Incident rates were computed for each year (N = 8) and for each province (N = 110). Data on mean temperature and cumulative precipitation were obtained from the ERA5-Land re-analysis. Age- and sex-standardized incidence rates were modeled with Bayesian spatial and spatio-temporal conditional autoregressive Poisson models in relation to the meteo-climatic parameters. Statistical inference was based on Monte Carlo-Markov chains. We identified 1123 VL cases (incidence rate: 2.4 cases/1,000,000 person-years). The highest incidence rates were observed in southern Italy, even though some areas of northern Italy experienced high incidence rates. Overall, in the spatial analysis, VL incidence rates were positively associated with average air temperatures (beta for 1 degrees C increase in average mean average temperature: 0.14; 95% credible intervals (CrI): 0.01, 0.27) and inversely associated with average precipitation (beta for 20 mm increase in average summer cumulative precipitation: -0.28, 95% CrI: -0.42, -0.13). In the spatio-temporal analysis, no association between VL cases and season-year specific temperature and precipitation anomalies was detected. Our findings indicate that VL is endemic in the whole Italian peninsula and that climatic factors, such as air temperature and precipitation, might play a relevant role in shaping the geographical distribution of VL cases. These results support that climate change might affect leishmaniasis distribution in the future.
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页数:12
相关论文
共 55 条
[1]   Sampling methods for phlebotomine sandflies [J].
Alexander, B .
MEDICAL AND VETERINARY ENTOMOLOGY, 2000, 14 (02) :109-122
[2]   Seasonal Dynamics of Phlebotomine Sand Fly Species Proven Vectors of Mediterranean Leishmaniasis Caused by Leishmania infantum [J].
Alten, Bulent ;
Maia, Carla ;
Afonso, Maria Odete ;
Campino, Lenea ;
Jimenez, Maribel ;
Gonzalez, Estela ;
Molina, Ricardo ;
Banuls, Anne Laure ;
Prudhomme, Jorian ;
Vergnes, Baptiste ;
Toty, Celine ;
Cassan, Cecile ;
Rahola, Nil ;
Thierry, Magali ;
Sereno, Denis ;
Bongiorno, Gioia ;
Bianchi, Riccardo ;
Khoury, Cristina ;
Tsirigotakis, Nikolaos ;
Dokianakis, Emmanouil ;
Antoniou, Maria ;
Christodoulou, Vasiliki ;
Mazeris, Apostolos ;
Karakus, Mehmet ;
Ozbel, Yusuf ;
Arserim, Suha K. ;
Kasap, Ozge Erisoz ;
Gunay, Filiz ;
Oguz, Gizem ;
Kaynas, Sinan ;
Tsertsvadze, Nikoloz ;
Tskhvaradze, Lamzira ;
Giorgobiani, Ekaterina ;
Gramiccia, Marina ;
Volf, Petr ;
Gradoni, Luigi .
PLOS NEGLECTED TROPICAL DISEASES, 2016, 10 (02)
[3]   Leishmaniasis Worldwide and Global Estimates of Its Incidence [J].
Alvar, Jorge ;
Velez, Ivan D. ;
Bern, Caryn ;
Herrero, Merce ;
Desjeux, Philippe ;
Cano, Jorge ;
Jannin, Jean ;
den Boer, Margriet .
PLOS ONE, 2012, 7 (05)
[4]  
[Anonymous], DEMO GEODEMO MAPPE P
[5]   Sandflies and sandfly-borne infections of humans in Central Europe in the light of climate changeSandmücken und durch Sandmücken übertragene Erreger von Infektionen des Menschen in Mitteleuropa aus der Sicht von Klimaveränderungen [J].
Horst Aspöck ;
Thomas Gerersdorfer ;
Herbert Formayer ;
Julia Walochnik .
Wiener klinische Wochenschrift, 2008, 120 (Suppl 4) :24-29
[6]   Evaluating the impact of a small number of areas on spatial estimation [J].
Aswi, Aswi ;
Cramb, Susanna ;
Duncan, Earl ;
Mengersen, Kerrie .
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2020, 19 (01)
[7]   Leishmaniasis [J].
Burza, Sakib ;
Croft, Simon L. ;
Boelaert, Marleen .
LANCET, 2018, 392 (10151) :951-970
[8]   Sand flies: Basic information on the vectors of leishmaniasis and their interactions with Leishmania parasites [J].
Cecilio, Pedro ;
Cordeiro-da-Silva, Anabela ;
Oliveira, Fabiano .
COMMUNICATIONS BIOLOGY, 2022, 5 (01)
[9]   Environmental risk mapping of canine leishmaniasis in France [J].
Chamaille, Lise ;
Tran, Annelise ;
Meunier, Anne ;
Bourdoiseau, Gilles ;
Ready, Paul ;
Dedet, Jean-Pierre .
PARASITES & VECTORS, 2010, 3
[10]   Risk mapping of visceral leishmaniasis: The role of local variation in rainfall and altitude on the presence and incidence of Kala-Azar in eastern Sudan [J].
Elnaiem, DEA ;
Schorscher, J ;
Bendall, A ;
Obsomer, V ;
Osman, ME ;
Mekkawi, AM ;
Connor, SJ ;
Ashford, RW ;
Thomson, MC .
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2003, 68 (01) :10-17