The Effect of Geographical and Climatic Factors on the Distribution of Phlebotomus papatasi (Diptera: Psychodidae) in Golestan Province, an Endemic Focus of Zoonotic Cutaneous Leishmaniasis in Iran, 2014

Hosseini, Seyed Hamid; Allah-Kalteh, Ehsan; Sofizadeh, Aiuob

doi:10.18502/jad.v15i2.7491

Cited by 5 publications

(5 citation statements)

References 28 publications

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“…These findings support that P. papatasi activity occurs during the hot season, where both minimum and maximum temperatures are high, and low temperatures during the Data analysis further supports the hypothesis of an intricate association between climatic factors, vector density, and disease incidence. It reinforces previous reports on the seasonal activity of P. papatasi [48,49] and the impact of precipitation and air temperature as significant factors affecting P. papatasi distribution [40,50,51]. In addition, moisture, wind [52], aridity, or surface climate variables [10] also influence vector activity and dispersal capability.…”

Section: Association Of Zcl Incidence and The Climatic Parameters In ...supporting

confidence: 89%

Seasonal Patterns of Zoonotic Cutaneous Leishmaniasis Caused by L. major and Transmitted by Phlebotomus papatasi in the North Africa Region, a Systematic Review and a Meta-Analysis

Karmaoui

Sereno²,

Jaafari

et al. 2022

Microorganisms

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Background: In North African countries, zoonotic cutaneous leishmaniasis (ZCL) is a seasonal disease linked to Phlebotomus papatasi, Scopoli, 1786, the primary proven vector of L. major dynamics. Even if the disease is of public health importance, studies of P. papatasi seasonal dynamics are often local and dispersed in space and time. Therefore, a detailed picture of the biology and behavior of the vector linked with climatic factors and the framework of ZCL outbreaks is still lacking at the North African countries’ level. Our study aims to fill this gap via a systematic review and meta-analysis of the seasonal incidence of ZCL and the activity of P. papatasi in North African countries. We address the relationship between the seasonal number of declared ZCL cases, the seasonal dynamic of P. papatasi, and climatic variables at the North African region scale. Methods: We selected 585 publications, dissertations, and archives data published from 1990 to July 2022. The monthly incidence data of ZCL were extracted from 15 documents and those on the seasonal dynamic of P. papatasi from 11 publications from four North African countries. Results: Our analysis disclosed that for most studied sites, the highest ZCL incidence is recorded from October to February (the hibernal season of the vector), while the P. papatasi density peaks primarily during the hot season of June to September. Overall, at the North African region scale, two to four months laps are present before the apparition of the scars reminiscent of infection by L. major. Conclusions: Such analysis is of interest to regional decision-makers for planning control of ZCL in North African countries. They can also be a rationale on which future field studies combining ZCL disease incidence, vector activity, and climatic data can be built.

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Section: Association Of Zcl Incidence and The Climatic Parameters In ...supporting

confidence: 89%

Seasonal Patterns of Zoonotic Cutaneous Leishmaniasis Caused by L. major and Transmitted by Phlebotomus papatasi in the North Africa Region, a Systematic Review and a Meta-Analysis

Karmaoui

Sereno²,

Jaafari

et al. 2022

Microorganisms

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“…According to a study conducted in Morocco, higher relative humidity levels were positively correlated with increased sandflies abundance which is in line with our findings that’s suppose that a range of humidity from 25% to 55% increases enormously the number of CL cases in the Ghardaïa region. 46 Another study conducted in Biskra province in Algeria found out the same correlation coefficient between humidity and CL cases. 47 However, a study in Golestan province, Iran has confirmed that precipitation is the most important factor in the density of CL vectors.…”

Section: Discussionmentioning

confidence: 66%

Climate change and cutaneous leishmaniasis in the province of Ghardaïa in Algeria: A model-based approach to predict disease outbreaks

Saadene,

Salhi,

Mliki

et al. 2023

Ann Saudi Med

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BACKGROUND: Cutaneous leishmaniasis (CL) is a vector-borne disease prevalent in Algeria since 2000. The disease has significant impacts on affected communities, including morbidity and social stigma. OBJECTIVE: Investigate the association between environmental factors and the incidence of CL in the province of Ghardaïa and assess the predictive capacity of these factors for disease occurrence. DESIGN: Retrospective SETTING: The study area included both urban and rural communities. METHODS: We analyzed a dataset on CL in the province of Ghardaïa, Algeria, spanning from 2000 to 2020. The dataset included climatic variables such as temperature, average humidity, wind speed, rainfall, and the normalized difference vegetation index (NDVI). Using generalized additive models, we examined the relationships and interactions between these variables to predict the emergence of CL in the study area. MAIN OUTCOME MEASURES: The identification of the most significant environmental factors associated with the incidence and the predicted incidence rates of CL in the province of Ghardaïa, Algeria. SAMPLE SIZE AND CHARACTERISTICS: 252 monthly observations of both climatic and epidemiological variables. RESULTS: Relative humidity and wind speed were the primary climatic factors influencing the occurrence of CL epidemics in Ghardaïa, Algeria. Additionally, NDVI was a significant environmental factor associated with CL incidence. Surprisingly, temperature did not show a strong effect on CL occurrence, while rainfall was not statistically significant. The final fitted model predictions were highly correlated with real cases. CONCLUSION: This study provides a better understanding of the long-term trend in how environmental and climatic factors contribute to the emergence of CL. Our results can inform the development of effective early warning systems for preventing the transmission and emergence of vector-borne diseases. LIMITATIONS: Incorporating additional reservoir statistics such as rodent density and a human development index in the region could improve our understanding of disease transmission.

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“…First, a correlation test was performed between two variables based on the Spearman correlation coefficient (Spearman's r). When |r| ≥ 0.7, there is a strong correlation between variables [37][38][39]. Then, we included all bioclimate variables in the model for a prerun.…”

Section: Collection and Processing Of Environmental Variablesmentioning

confidence: 99%

Predicting Risk Areas of Classical Scrapie in China Based on Environmental Suitability

Hong

Pan

et al. 2023

Transboundary and Emerging Diseases

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Classical scrapie is a transmissible spongiform encephalopathy that attacks the central nervous system of sheep and goats. Since its discovery in the 18th century, the disease has caused enormous economic losses and public health impacts in continental Europe. In the late 20th century, classical scrapie began to spread to places, such as Asia and the Americas, becoming a disease of global concern. In this study, based on prion occurrence records and high-resolution environmental layers, a risk assessment of classical scrapie in China was performed using a maximum entropy model. The model achieved an area under the curve value of 0.906 (95% confidence interval, 0.0883–0.0929). Sheep distribution density, road density, goat distribution density, minimum temperature of the coldest month, port density, and precipitation of the driest quarter were identified as important factors affecting the occurrence of classical scrapie. The risk map showed that potential high-risk areas in China were mainly located in Northeast China, North China, and Northwest China. This study can provide a valuable reference for the prevention of classical scrapie in China. According to the environmental variables and risk areas of classical scrapie, implementing monitoring and early warning measures in these areas is recommended to reduce the possibility of classical scrapie occurrence and transmission.

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The Effect of Geographical and Climatic Factors on the Distribution of Phlebotomus papatasi (Diptera: Psychodidae) in Golestan Province, an Endemic Focus of Zoonotic Cutaneous Leishmaniasis in Iran, 2014

Cited by 5 publications

References 28 publications

Seasonal Patterns of Zoonotic Cutaneous Leishmaniasis Caused by L. major and Transmitted by Phlebotomus papatasi in the North Africa Region, a Systematic Review and a Meta-Analysis

Seasonal Patterns of Zoonotic Cutaneous Leishmaniasis Caused by L. major and Transmitted by Phlebotomus papatasi in the North Africa Region, a Systematic Review and a Meta-Analysis

Climate change and cutaneous leishmaniasis in the province of Ghardaïa in Algeria: A model-based approach to predict disease outbreaks

Predicting Risk Areas of Classical Scrapie in China Based on Environmental Suitability

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