War, displacement, and the best location for temporary sheltering: a qualitative study.

BACKGROUND: One of the most important consequences of man-made disasters in the world is the loss of homes and, ultimately, forced population displacement. The sheltering of forcibly refugees to safe areas requires the study of scientific criteria. METHODS: This qualitative content analysis study was conducted in Iran to identify the criteria for the sheltering of refugees due to conflict. Participants in the study comprised experts and managers who had expertise, experience, or knowledge in the shelter for refugees. Data was collected in semi-structured interviews with 20 individuals and analyzed by qualitative content analysis to extract and categorize the factors affecting sheltering for refugees. RESULTS: The results of this study showed that a wide range of factors should be considered in the sheltering of refugees due to conflict, including land type, access to facilities, access to infrastructures, homogeneity, and similarities, security, distance from danger, environmental factors, economic issues, and political and legal issues. These nine categories covered 53 subcategories and 188 factors. CONCLUSIONS: The comprehensiveness of the factors mentioned in this study showed that the sheltering of refugees due to conflict requires planning, training, culture building, promoting readiness, and inter-organizational coordination. Moreover, managers, policymakers, decision-makers in relief agencies, humanitarian organizations, and organizations involved in sheltering of refugees due to conflict should attend to these factors to improve the process and prevent problems.

Temporal Monitoring and Predicting of the Abundance of Malaria Vectors Using Time Series Analysis of Remote Sensing Data through Google Earth Engine.

In many studies regarding the field of malaria, environmental factors have been acquired in single-time, multi-time or a short-time series using remote sensing and meteorological data. Selecting the best periods of the year to monitor the habitats of Anopheles larvae can be effective in better and faster control of malaria outbreaks. In this article, high-risk times for three regions in Iran, including Qaleh-Ganj, Sarbaz and Bashagard counties with a history of malaria prevalence were estimated. For this purpose, a series of environmental factors affecting the growth and survival of Anopheles were used over a seven-year period through the Google Earth Engine. The results of this study indicated two high-risk times for Qaleh-Ganj and Bashagard counties and three high-risk times for Sarbaz county over the course of a year observing an increase in the abundance of Anopheles mosquitoes. Further evaluation of the results against the entomological data available in previous studies showed that the high-risk times predicted in this study were consistent with an increase in the abundance of Anopheles mosquitoes in the study areas. The proposed method is extremely useful for temporal prediction of the increase in abundance of Anopheles mosquitoes in addition to the use of optimal data aimed at monitoring the exact location of Anopheles habitats.

Climate Change and Gender: Mapping Drought and Gender Gap in Literacy and Employment Sections in Iran between 2011 and 2016.

Background: Drought is one of the most frequent natural hazards in Iran. Gender analysis can highlight the different needs and capacities of men and women to manage drought hazards. Thus, the present study aimed to map drought and the gender gap in drought data based on the provincial zones in 2011 and 2016. Methods: This cross-sectional study was conducted in 2 stages establishing a database and spatial analysis. Data mapping was done based on provincial divisions, sex-disaggregated distribution of literacy, and employment rate as well as drought patterns in Iran in 2011 and 2016 using ArcGIS software. Descriptive statistics were applied to analyze and report the sex-disaggregated literacy and employment data. Results: About 80.73% and 75.27% of women and 80.89% and 74.74% of men experienced severe and very severe droughts in 2011 and 2016, respectively. Gender inequality in the aspects of literacy and employment in drought-affected regions was found in 2011 and 2016. Conclusion: Community-based planning and management in regions exposed to climate change are suggested for reducing the consequences of climatic disasters such as droughts. Women need to be empowered and trained for innovative livelihood activities in rural and urban areas in Iran and other developing countries affected by long-term droughts.

Evolution of insecticide resistance and its mechanisms in Anopheles stephensi in the WHO Eastern Mediterranean Region.

BACKGROUND: While Iran is on the path to eliminating malaria, the disease with 4.9 million estimated cases and 9300 estimated deaths in 2018 remains a serious health problem in the World Health Organization (WHO) Eastern Mediterranean Region. Anopheles stephensi is the main malaria vector in Iran and its range extends from Iraq to western China. Recently, the vector invaded new territories in Sri Lanka and countries in the Horn of Africa. Insecticide resistance in An. stephensi is a potential issue in controlling the spread of this vector. METHODS: Data were collated from national and international databases, including PubMed, Google Scholar, Scopus, ScienceDirect, SID, and IranMedex using appropriate search terms. RESULTS: Indoor residual spaying (IRS) with DDT was piloted in Iran in 1945 and subsequently used in the malaria eradication programme. Resistance to DDT in An. stephensi was detected in Iran, Iraq, Pakistan, and Saudi Arabia in the late 1960s. Malathion was used for malaria control in Iran in 1967, then propoxur in 1978, followed by pirimiphos-methyl from 1992 to 1994. The pyrethroid insecticide lambda-cyhalothrin was used from 1994 to 2003 followed by deltamethrin IRS and long-lasting insecticidal nets (LLINs). Some of these insecticides with the same sequence were used in other malaria-endemic countries of the region. Pyrethroid resistance was detected in An. stephensi in Afghanistan in 2010, in 2011 in India and in 2012 in Iran. The newly invaded population of An. stephensi in Ethiopia was resistant to insecticides of all four major insecticide classes. Different mechanisms of insecticide resistance, including metabolic and insecticide target site insensitivity, have been developed in An. stephensi. Resistance to DDT was initially glutathione S-transferase based. Target site knockdown resistance was later selected by pyrethroids. Esterases and altered acetylcholinesterase are the underlying cause of organophosphate resistance and cytochrome p450s were involved in pyrethroid metabolic resistance. CONCLUSIONS: Anopheles stephensi is a major malaria vector in Iran and many countries in the region and beyond. The species is leading in terms of development of insecticide resistance as well as developing a variety of resistance mechanisms. Knowledge of the evolution of insecticide resistance and their underlying mechanisms, in particular, are important to Iran, considering the final steps the country is taking towards malaria elimination, but also to other countries in the region for their battle against malaria. This systematic review may also be of value to countries and territories newly invaded by this species, especially in the Horn of Africa, where the malaria situation is already dire.

Larval habitats and species diversity of mosquitoes (Diptera: Culicidae) in West Azerbaijan Province, Northwestern Iran.

BACKGROUND: The characteristics of a larval habitat is an important factor which affects the breeding pattern and population growth of mosquitoes Information about the larval habitat characteristics and pupal productivity can be utilized for the surveillance of the level of population growth, species diversity, and preferred breeding sites of mosquitoes, which are important aspects of integrated vector control. In the present study, mosquito larvae were collected from 22 natural habitats in five counties of the West Azerbaijan Province in the Northwest of Iran during May-November 2018. Physicochemical characteristics of the habitats were investigated. These included alkalinity, chloride (Cl) content, water temperature (°C), turbidity (NTU), Total Dissolved Solids (TDS) (ppm), Electrical Conductivity (EC) (µS/cm), and acidity (pH). The index of affinity between the collected species was calculated using Fager & McGowan test. RESULTS: A total of 2715 specimens were collected and identified. Seven different species belonging to four genera were identified in our study sites. The species included, Culex pipiens Linnaeus 1758, Culex theileri Theobald 1903, Culex mimeticus Noé 1899, Culex modestus Ficalbi 1947, Culiseta longiareolata Macquart 1838, Anopheles maculipennis Meigen 1818complex, and Aedes caspius Pallas 1771. There was a significant difference in chloride content and water temperature preferences among the different species (P < 0.05). Also, there was no significant difference in pH, Alkalinity, Turbidity, TDS, and EC preferences among the different species (P > 0.05). The affinity between the pair of species Cx. mimeticus/Cs. longiareolata was 0.526. There was no affinity between other pairs of species or the affinity was very weak. CONCLUSIONS: The physicochemical and biological characteristics of mosquito larval habitats play an important role in zoning of areas suitable for breeding and distribution. Surveillance of these characteristics can provide valuable information for entomological monitoring of mosquito vectors and for designing targeted control programs. Also, further studies should be undertaken in a wider geographical area, taking into account the complex characteristics of the physicochemical and ecological factors of the study area and their interaction with various mosquito species.

Resistant status of Culex pipiens complex species to different imagicides in Tehran, Iran.

BACKGROUND & OBJECTIVES: Insecticides are the most important means of controlling pests in Iran especially for Culex pipiens complex species. The rational use of insecticides largely depends on understanding the susceptibility levels of these species. The study was designed to determine the susceptibility levels of Cx. pipiens complex (field and insectary strains) to various insecticides in the city of Tehran. METHODS: The mortality rates of the field strain of Cx. pipiens complex after different exposure times to DDT (4%), bendiocarb (0.1%), propoxur (0.1%), malathion (5%), fenitrothion (1.0%), permethrin (0.75%), deltamethrin (0.05%), lambda-cyhalothrin (0.05%), etofenprox (0.5%), and cyfluthrin (0.15%) were determined. The mortality rates at the lethal time 50% (LT50) and lethal time 90% (LT90) values were calculated by plotting the regression line using Microsoft Office Excel software. RESULTS: The mortality rates of the Cx. pipiens complex after 1 h exposure to the diagnostic doses of DDT (4%), bendiocarb (0.1%), propoxur (0.1%), malathion (5%), fenitrothion (1.0%), permethrin (0.75%), deltamethrin (0.05%), lambda-cyhalothrin (0.05%), etofenprox (0.5%), and cyfluthrin (0.15%) were 12, 58, 54, 82, 54, 34, 49, 40, 17, and 44%, respectively. According to the WHO classification of susceptibility levels, both field and insectary strains of Cx. pipiens complex in Tehran were resistant to these insecticides. INTERPRETATION & CONCLUSION: The results of this study showed that field Cx. pipiens complex is resistant to all the groups of insecticides used.

Epidemiological survey on Cutaneous Leishmaniasis in southwestern Iran.

BACKGROUND & OBJECTIVES: Cutaneous leishmaniasis (CL) is still a public health threat in many rural areas of Iran. It causes considerable morbidity among a huge number of people in the endemic areas. Khuzestan is considered as a CL focus in Iran and recently several cases have been reported from Shush County. The aim of the current study was to determine different aspects of CL epidemiology in this County. METHODS: The study was conducted in four villages in the rural district of Shush County. In order to survey the scar and acute rate of the disease, 100 inhabitants were questioned in each village. In addition, to determine the reservoir host and vector of the disease, rodents were captured using Sherman traps, and sandflies were collected from around the rodent burrows using sticky paper traps. RESULTS: The scar and acute lesion rates were reported as 5.26 and 0.57% among inhabitants, respectively. Fifty-four rodents including Tatera indica (55.5%), Nesokia indica (33.3%), Mus musculus (9.3%) and Rattus norvegicus (1.9%) were captured and identified. Nested PCR showed 3 out of 54 rodents infected with Leishmania major. In total, 1122 sandflies were collected, and Leishmania major detected in Phlebotomus papatasi (4.35%), Sergentomyia dentata (23%), and Sergentomyia clydei (10%). INTERPRETATION & CONCLUSION: Zoonotic cutaneous leishmaniasis due to L. major prevailed in this area. The common and the main vector was Ph. papatasi and, T. indica seems to be the main while N. indica as a secondary reservoir host of the disease in this area.

A social network analysis on immigrants and refugees access to services in the malaria elimination context.

BACKGROUND: There has been significant progress in eliminating malaria in Iran. The aim of this study is to investigate the structure of inter-organizational collaboration networks in the field of unauthorized immigrants and refugees access to services in order to eliminate malaria. METHODS: This study employed social network analysis, in which nodes represented stakeholders associated with providing access of immigrants and refugees to services in the field of malaria elimination, and ties indicated the level of collaboration. This study adopted socio-centric analysis and the whole network was studied. In this regard, 12 districts of the malaria-endemic area in Iran were selected. Participants included 360 individuals (30 representatives of the organization/group in each district). The data were gathered by interview, using the levels of collaboration scale. UCINET 6 was used for data analysis. The indices of density, centralization, reciprocity, and clustering were investigated for each twelve network and at each level of collaboration. RESULTS: The average density of the networks was 0.22 (SD: 0.04). In districts with a high incidence of imported malaria, the values of network density and centralization were high and the networks comprised of a larger connected component (less isolated clusters). There were significant correlations between density of network (r = 0.66, P = 0.02), degree centralization (r = 0.65, P = 0.02), betweenness centralization (r = 0.76, P = 0.004), and imported malaria cases. In general, the degree centrality and betweenness centrality of the organizations of health, district governor, and foreign immigrants' affairs were higher. In all networks, 60% of the relationships were bilateral. At a higher level of collaboration, the centralization declined and reciprocity increased. The average of betweenness centralization index was 22.76 (SD = 3.88). CONCLUSIONS: Higher values of network indices in border districts and districts with more cases of imported malaria, in terms of density and centralization measures, can propose the hypothesis that higher preparedness against the issue and centralization of power can enable a better top-down outbreak management, which needs further investigations. Higher centrality of governmental organizations indicates the need for involving private, non-governmental organizations and representatives of immigrant and refugee groups. Recognition of the existing network structure can help the authorities increase access to malaria prevention, diagnosis, and treatment services among immigrants and refugees.

Sequence analysis of mtDNA COI barcode region revealed three haplotypes within Culex pipiens assemblage.

Members of the Culex (Culex) pipiens assemblage are known vectors of deadly encephalitides, periodic filariasis, and West Nile virus throughout the world. However, members of this assemblage are morphologically indistinguishable or hard to distinguish and play distinct roles in transmission of the diseases. The current study aimed to provide further evidence on utility of the two most popular nuclear (ITS2-rDNA) and mitochondrial (COI barcode region) genetic markers to identify members of the assemblage. Culex pipiens assemblage specimens from different climate zones of Iran were collected and identified to species level based on morphological characteristics. Nucleotide sequences of the loci for the specimens plus available data in the GenBank were analyzed to find species specific genetic structures useful for diagnosis purposes. ITS2 region was highly divergent within species or populations suggesting lack of consistency as a reliable molecular marker. In contrast, sequence analysis of 710 bp of COI gene revealed three fixed haplotypes named here "C, T, H" within the assemblage which can be distinguished by HaeIII and AluI enzymes. There were a correlation between the haplotypes and the world climate regions, where the haplotypes H/T and C are present mainly in temperate and tropical regions of the world, respectively. In the New world, Australia, and Japan only haplotype H is found. In conjunction between tropical and temperate regions such Iran, China, and Turkey, a mix of C/H or C/H/T are present. Although, the haplotypes are not strictly species-specific, however, Cx. quinquefasciatus was mainly of haplotype C. Due to the lack of mating barrier and questionable taxonomic situation of the complex members, the mentioned haplotypes in combination with other morphological and molecular characters might be used to address the genetic structure of the studied populations.

Modeling the Distribution of Cutaneous Leishmaniasis Vectors (Psychodidae: Phlebotominae) in Iran: A Potential Transmission in Disease Prone Areas.

Cutaneous leishmaniasis (CL) is now the main vector-borne disease in Iran. Two forms of the disease exist in the country, transmitted by Phlebotomus papatasi and Phlebotomus sergenti s.l. Modeling distribution of the vector species is beneficial for preparedness and planning to interrupt the transmission cycle. Data on sand fly distribution during 1990-2013 were used to predict the niche suitability. MaxEnt algorithm model was used for prediction using bioclimatic and environmental variables (precipitation, temperature, altitude, slope, and aspect). Regularized training, area under the curve, and unregularized training gains were 0.916, 0.915, and 1.503, respectively, for Ph. papatasi. These values were calculated as 0.987, 0.923, and 1.588 for Ph. sergenti s.l. The jackknife test showed that the environmental variable with the highest gain when used in isolation has the mean temperature of the wettest quarter for both species, while slope decreases the gain the most when it is omitted from the model. Classification of probability of presence for two studied species was performed on five classes using equal intervals in ArcGIS. More than 60% probability of presence was considered as areas with high potential of CL transmission. These areas include arid and semiarid climates, mainly located in central part of the country. Mean of altitude, annual precipitation, and temperature in these areas were calculated 990 and 1,235 m, 273 and 226 mm, and 17.5 and 16.4°C for Ph. papatasi and Ph. sergenti s.l., respectively. These findings can be used in the prediction of CL transmission potential, as well as for planning the disease control interventions.

Multi-scale habitat modeling framework for predicting the potential distribution of sheep gastrointestinal nematodes across Iran's three distinct climatic zones: a MaxEnt machine-learning algorithm.

Ecological niche models (ENMs) serve as valuable tools in assessing the potential species distribution, identifying crucial habitat components for species associations, and facilitating conservation efforts. The current study aimed to investigate the gastrointestinal nematodes (GINs) infection in sheep, predict and analyze their ecological niches and ranges, and identify the key bioclimatic variables influencing their distribution across three distinct climatic regions in Iran. In a cross-sectional study, a total of 2140 fecal samples were collected from semi-arid (n = 800), arid (n = 500), and humid-subtropical (n = 840) climates in East Azerbaijan, Kerman, and Guilan provinces, respectively. The flotation method was employed to assess stool samples, whereby the fecal egg count (the number of parasite eggs per gram [EPG]) was ascertained for each individual specimen. Employing a presence-only approach, the multi-scale maximum entropy (MaxEnt) method was used to model GINs' habitat suitability using 93 selected points/locations. The findings revealed that Guilan (34.2%) and East Azerbaijan (19.62%) exhibited the utmost proportion of Strongyle-type eggs. East Azerbaijan province also displayed the highest proportion of Marshallagia and Nematodirus, respectively (approximately 40% and 27%), followed by Guilan and Kerman provinces, while Kerman province had the highest proportion of Trichuris (approximately 15%). Ecological niche modeling revealed that the precipitation of the driest quarter (Bio17) exerted the most significant influence on Marshallagia, Nematodirus, Trichuris, and ُSُُُtrongyle-type eggs' presence in East Azerbaijan and Kerman provinces. For Guilan province, the most influential factor defining habitat suitability for Strongyle-type eggs, Marshallagia, and Nematodirus was increasing slope. Additionally, the distribution of Trichuris was most affected by the variable Bio2 in Guilan province. The study highlights the response of GINs to climate drivers in highly suitable regions, providing insights into ecologically favorable areas for GINs. In conclusion, this study provides a better understanding of GINs and the environmental factors influencing their transmission dynamics.

Climate change and health: The case of mapping droughts and migration pattern in Iran (2011-2016).

INTRODUCTION: Migration and mobility of population have been reported as a common reaction to drought. There is historical evidence to suggest the health effects of droughts and human migration linkage in Iran. This study aimed to map the drought and migration patterns in Iran in 2011 and 2016 and explore their possible health impacts. METHODS: This sequential explanatory mixed-method study was done in two stages of spatial analysis and qualitative study. Data mapping was conducted through the equal interval classification and using drought, migration, and agriculture occupation data based on provincial divisions in Iran in 2011 and 2016. This qualitative study was conducted using the content analysis approach. RESULTS: The in-migration rate was higher in 2011 rather than 2016. Migration to cities was much higher than migration to villages in both years. The frequency of male migrants was higher than females in all provinces in 2011 and 2016. Physical and mental diseases as well as economic, sociocultural, education, and environment effects on health were extracted from the qualitative data. CONCLUSION: A holistic picture of droughts and migration issues in Iran and their health consequences were achieved by the present research. Further research is needed to explore the determinants of health impacts of climate change in vulnerable groups. Public health problems can be prevented by adaptive and preventive policy-making and planning. This can improve the coping capacity of the population facing droughts and enforced migration.

Geographical and Molecular Analysis of Haplotype Variations in Leishmania major Among Infected Iranian Phlebotomus papatasi.

PURPOSE: Leishmania major is main causative agent and Phlebotomus papatasi is only proven vector of Zoonotic Cutaneous Leishmaniasis (ZCL) in Iran. Human leishmaniasis is mostly susceptible to climatic conditions and molecular variations of Leishmania parasites within sandflies. METHODS: L. major was analyzed based on geographical, environmental, climatic changes and haplotype variations within P. papatasi. Molecular tools and different geographical aspects were employed using Arc-GIS software for mapping the geographic distribution of samples and other statistics tests. Fragments of ITS-rDNA, k-DNA, and microsatellite genes of Leishmania were used for PCR, RFLP, sequencing, and phylogenetic analyses. RESULTS: Totally 81 out of 1083 female P. papatasi were detected with Leishmania parasites: 70 and five were L. major and L. turanica, respectively. Golestan and Fars provinces had the highest (13.64%) and lowest (4.55%) infection rates, respectively. The infection rate among female P. papatasi collected from gerbil burrows was significantly higher (15.15%) than animal shelters, yards, and inside houses (4.48%) (P < 0.0%). Microsatellite was more sensitive (22.72%) than k-DNA (18.8%) and ITS-rDNA (7.48%). More molecular variations of L. major were found in Isfahan province. CONCLUSIONS: Arc-GIS software and other statistics tests were employed to find Leishmania positive and haplotype variations among sand flies. Geographical situations, altitude, climate, precipitation, humidity, temperature, urbanization, migrations, regional divergences, deforestation, global warming, genome instability, ecology, and biology of the sand flies intrinsically, and the reservoir hosts and neighboring infected locations could be reasons for increasing or decreasing the rate of Leishmania infection and haplotype variations.

Predicting the environmental suitability for Anopheles stephensi under the current conditions in Ghana.

Vector-borne diseases emergence, particularly malaria, present a significant public health challenge worldwide. Anophelines are predominant malaria vectors, with varied distribution, and influenced by environment and climate. This study, in Ghana, modelled environmental suitability for Anopheles stephensi, a potential vector that may threaten advances in malaria and vector control. Understanding this vector's distribution and dynamics ensures effective malaria and vector control programmes implementation. We explored the MaxEnt ecological modelling method to forecast An. stephensi's potential hotspots and niches. We analysed environmental and climatic variables to predict spatial distribution and ecological niches of An. stephensi with a spatial resolution of approximately 5 km2. Analysing geospatial and species occurrence data, we identified optimal environmental conditions and important factors for its presence. The model's most important variables guided hotspot prediction across several ecological zones aside from urban and peri-urban regions. Considering the vector's complex bionomics, these areas provide varying and adaptable conditions for the vector to colonise and establish. This is shown by the AUC = 0.943 prediction accuracy of the model, which is considered excellent. Based on our predictions, this vector species would thrive in the Greater Accra, Ashanti Central, Upper East, Northern, and North East regions. Forecasting its environmental suitability by ecological niche modelling supports proactive surveillance and focused malaria management strategies. Public health officials can act to reduce the risk of malaria transmission by identifying areas where mosquitoes may breed, which will ultimately improve health outcomes and disease control.

Worldwide Status of Insecticide Resistance of Aedes aegypti and Ae. albopictus, Vectors of Arboviruses of Chikungunya, Dengue, Zika and Yellow Fever.

Background: Controlling of Aedes aegypti and Ae. albopictus, vectors of five important mosquito-borne diseases, is known as the most effective method to prevent the transmission of arboviruses to humans, but the emergence of insecticide resistance is threat for control and prevention of vector borne diseases. A better understanding of mosquito resistance to insecticides will help to develop more effective methods to control insecticide resistance in mosquito vectors. Methods: Worldwide geographical distribution of insecticide resistance in Ae. aegypti and Ae. albopictus by the available papers and map of the data for carbamates, organochlorines, organophosphates, pyrethroids, microbial and insect growth regulator insecticides were reviewed. Article data published up to December 2022 were investigated by searching the following databases: "Google Scholar", "PubMed", "Scopus", "SID" and "Web of Knowledge". Results: The results showed that the susceptibility and resistance status of Ae. aegypti and Ae. albopictus to insecticides in the world is very diverse. Conclusion: Due to the importance of Ae. aegypti and Ae. albopictus in the transmission of mosquito-borne arboviruses, resistance management should be given more attention worldwide to prevent insecticide resistance in the arbovirus vector and replace the new approach for vector control.

Evaluation of the Time Course on the Effectiveness of WHO Standard Pyrethroid and Carbamate Impregnated Test Papers against Anopheles stephensi, the Main Malaria Vector in Iran.

Background: Anopheles stephensi is a major vector of malaria in some parts of the world. A standard method for determining resistance in adult mosquito populations is the bioassay test recommended by the world health organization (WHO). The papers used in this method have an expiry date. This study aimed to determine the effectiveness of outdated susceptibility test papers for use in insecticide resistance monitoring programs. Methods: Beech and Bandar Abbas strains of An. stephensi were reared in the insectary. Permethrin 0.75%, Deltamethrin 0.05%, and Bendiocarb 0.1% impregnated test papers prepared by Universiti Sains Malaysia were used. Probit analysis was used to analyze the results and prepare time-mortality regression lines of LT50 and LT90. Results: There was a difference in the mortality of both tested strains of An. stephensi was exposed to all tested insecticides. Both expired and not expired Permethrin and Deltamethrin papers induced 100% mortality at the diagnostic time (60min), but their insecticidal properties were reduced gradually in serial times. The highest efficacy of test papers was in the first trimester after the expiry date and decreased over time. Conclusion: At the diagnostic time of 60 minutes, the mortality rate of both dated and expired papers was 100% in the pyrethroid insecticides, even three years after expiry dates, if stored in the package provided by the producer, in a refrigerator. This value was reduced to less than 100% in the expired papers of Bendiocarb comparing the dated papers that induced 100% mortality.

Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran.

Background: Although malaria is endemic in some areas of southeastern Iran, following the successful national malaria elimination plan (NMEP), the local transmission area has been shrunk. This study was aimed to evaluate the effect of climate change on the distribution of main vectors. Methods: All documents related to research investigations conducted in Kerman Province on malaria vectors published during 2000-2019 were retrieved from scientific databases. Spatial distributions of the main vectors were mapped and modeled using MaxEnt ecological model. The future environmental suitability for main vectors was determined under three climate changes scenarios in the 2030s. Results: Five malaria vectors are present in Kerman Province. The best ecological niches for these vectors are located in the southern regions of the province under the current climatic condition as well as different climate change scenarios in the 2030s. Conclusion: Climate change in 2030 will not have a significant impact on the distribution of malaria vectors in the region. Entomological monitoring is advised to update the spatial database of Anopheles vectors of malaria in this malaria receptive region.

Mapping current and future risk of scorpion sting from a species with low medical concern, Mesobuthus phillipsii (Scorpiones: Buthidae) in Iran.

Scorpion stings are one of the most important health challenges and high priority research topic in public health. In this study, we aimed to model habitat suitability of the Mesobuthus phillipsii (Pocock 1889), a species with low medical concern, under current and future climatic conditions in Iran. We also identified vulnerable populations to scorpion stings in the country. Scorpion sting risk modeling was done using an ensemble approach by considering two species distribution modeling methods: MaxEnt and Random Forest methods. Distribution modeling was performed using the sdm R package. The results showed that due to climate change in 2070, the high-risk areas will increase from 20,839 to 79,212 km2. Habitats with a moderate risk of scorpion stings will also increase from 139,347 to 222,833 km2. Consequently, the number of villages in high-risk areas of scorpion stings will increase from 2,870 to 7,017, while this number will increase from 12,759 to 20,104 in the case of medium-risk villages. The results of this study can be used for scorpion stings management in Iran. This study can be used as an example for similar studies on scorpions with high medical emergency.

Global epidemiology and spatial distribution of Toxoplasma gondii in goats: Protocol for a systematic review and Bayesian hierarchical meta-analysis.

BACKGROUND: Toxoplasma gondii, a cosmopolitan protozoan parasite causes toxoplasmosis in humans and many species of domestic and wild animals. T. gondii instigates significant economic losses in sheep and goat farming industry and can lead to abortion, stillbirth, congenital malformations and neonatal losses. The objective of this protocol is to evaluate worldwide seroprevalence of T. gondii exposure in goats using Bayesian hierarchical meta-analysis and geographic information system (GIS). METHODS: A comprehensive literature search will be conducted using search engines, including Web of Science, ScienceDirect, Scopus, PubMed, ProQuest, EMBASE, PROSPERO Register and, Google Scholar without date and language restrictions. The authors search for cross-sectional studies that determine the seroprevalence of T. gondii in goats. Two reviewers will independently screen, selected studies; also, they will extract data, and assess the risk of bias. In case(s) of disagreement, a consensus will be reached with the help of a third author. The Bayesian hierarchical meta-analysis will use to estimate country and worldwide true seroprevalence of T. gondii, which is consist of the sensitivity and specificity of the applied serological assays. The obtained data will be used to identify country-level risk factors associated with T. gondii exposure using GIS in the ArcGIS software. DISCUSSION: The systematic review produced from this protocol will provide the true prevalence rate and spatial distribution T. gondii exposure in goats both regionally and globally using Bayesian hierarchical and GIS analysis. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number: CRD42020107928.

Predicting current and future high-risk areas for vectors and reservoirs of cutaneous leishmaniasis in Iran.

Climate change will affect the distribution of species in the future. To determine the vulnerable areas relating to CL in Iran, we applied two models, MaxEnt and RF, for the projection of the future distribution of the main vectors and reservoirs of CL. The results of the models were compared in terms of performance, species distribution maps, and the gain, loss, and stable areas. The models provided a reasonable estimate of species distribution. The results showed that the Northern and Southern counties of Iran, which currently do not have a high incidence of CL may witness new foci in the future. The Western, and Southwestern regions of the Country, which currently have high habitat suitability for the presence of some vectors and reservoirs, will probably significantly decrease in the future. Furthermore, the most stable areas are for T. indica and M. hurrianae in the future. So that, this species may remain a major reservoir in areas that are present under current conditions. With more local studies in the field of identifying vulnerable areas to CL, it can be suggested that the national CL control guidelines should be revised to include a section as a climate change adaptation plan.