Asian Pacific Journal of Tropical Medicine

52-63

Authors: Minu Bharati, Dhiraj Saha

Mosquitoes belonging to the genus Aedes pose a significant threat to human health on a global scenario due to their role in transmission of dengue, chikungunya, zika, and yellow fever. In absence of specific medications and vaccines against these diseases, disease prevention relies on vector control. However, in today’s world, vector control is facing major challenges due to the onset of insecticide resistance in mosquitoes. There are four main mechanisms of insecticide resistance, namely, behavioral resistance, reduced penetration/cuticular resistance, metabolic detoxification, and target site resistance; however, the latter two mechanisms have been studied widely in Aedes mosquitoes. Insecticide resistance in Aedes mosquitoes is widespread throughout the world. This review compiles the degree of insecticide resistance/susceptibility prevailing among different field populations of Aedes mosquitoes worldwide. In addition, the review has detailed the mechanisms providing the resistance phenomenon observed in nature in Aedes mosquitoes.

73-77

Authors: Thainá Valente Bertozzo, Érica Boarato David, Ana Paula Oliveira-Arbex, Semíramis Guimarães

Objective: To detect Dientamoeba (D.) fragilis and Enterocytozoon (E.) bieneusi and to assess their genetic characteristics in stool samples submitted for routine examination in a clinical laboratory in Southeastern Brazil. Methods: In this survey, 348 stool samples from female and male individuals with age ranging from 0 to ≥55 years were analyzed by PCR amplifying and sequencing based on the small subunit ribosomal RNA (SSU rRNA) gene of D. fragilis and the internal transcribed spacer of E. bieneusi. Results: D. fragilis and E. bieneusi isolates were observed in 2.29% (8/348) and 4.59% (16/348) of the samples, respectively. These parasites were detected in stool samples from individuals of both genders, including young children under nine until adults over 55 years old. No statistically significant differences were found. All D. fragilis isolates were classified as genotype 1 and E. bieneusi isolates included genotypes D (n=15) and A (n=1). Conclusions: The findings provide relevant findings on occurrence and genetic diversity of D. fragilis and E. bieneusi, pointing to the need for the diagnosis of these parasites in routine examinations in clinical laboratories. In addition to sensitive diagnostic methods, it is mandatory that these parasites be considered relevant for physicians and laboratory staff.

83-93

Authors: Vahid Rahmanian, Saied Bokaie, Aliakbar Haghdoost, Mohsen Barouni

Objective: To determine the potential effect of environment variables on cutaneous leishmaniasis occurrence using time-series models and compare the predictive ability of seasonal autoregressive integrated moving average (SARIMA) models and Markov switching model (MSM). Methods: This descriptive study employed yearly and monthly data of 49 364 parasitologically-confirmed cases of cutaneous leishmaniasis in Isfahan province, located in the center of Iran from January 2000 to December 2019. The data were provided by the leishmaniasis national surveillance system, the meteorological organization of Isfahan province, and Iranian Space Agency for vegetation information. The SARIMA and MSM models were implemented to examine the environmental factors of cutaneous leishmaniasis epidemics. Results: The minimum relative humidity, maximum relative humidity, minimum wind speed, and maximum wind speed were significantly associated with cutaneous leishmaniasis epidemics in different lags (P<0.05). Comparing SARIMA and MSM, Akaikes information criterion (AIC), and mean absolute percentage error (MAPE) in MSM were much smaller than SARIMA models (MSM: AIC=0.95, MAPE=3.5%; SARIMA: AIC=158.93, MAPE:11.45%). Conclusions: SARIMA and MSM can be a useful tool for predicting cutaneous leishmaniasis in Isfahan province. Since cutaneous leishmaniasis falls into one of two states of epidemic and non-epidemic, the use of MSM (dynamic) is recommended, which can provide more information compared to models that use a single distribution for all observations (Box-Jenkins SARIMA model).