Spatiotemporal patterns of cutaneous leishmaniasis in the district upper and lower Dir, Khyber Pakhtunkhwa, Pakistan: A GIS-based spatial approaches

Epidemiological survey, molecular profiling and phylogenetic analysis of cutaneous leishmaniasis in Khyber Pakhtunkhwa, Pakistan

BACKGROUND

Cutaneous leishmaniasis (CL), an emerging vector-borne ailment in Khyber Pakhtunkhwa (KPK), Pakistan, exhibits diverse spread patterns and outbreaks.

METHODS

To comprehend its epidemiology and identify parasite species, we conducted an active survey on suspected CL cases (n=8845) in KPK.

RESULTS

Microscopy and internal transcribed spacer-1 PCR-restriction fragment length polymorphism (RFLP) molecular techniques detected Leishmania spp. in blood samples. Phylogenetic analysis gauged genetic affinities with other areas. District Bannu displayed the highest CL impact (14.58%), while Swat had the lowest impact (4.33%) among cases. Annual blood examination rate, parasite incidence and slide positivity rate were 4.96 per 1000 people, 0.0233 and 0.047%, respectively. CL infections were prevalent in 1- to 20-y-olds, with males (57.17%) more vulnerable than females (42.82%). Single lesions occurred in 43.73% of patients, while 31.2% people had two lesions, 17.31% had three lesions and 7.74% had more than three lesions. Most had sand-fly exposure but lacked preventive measures like repellents and bed nets. Leishmania tropica was confirmed via RFLP analysis in amplified samples. Phylogenetic analysis unveiled genetic parallels between L. tropica of KPK and isolates from China, Iran, Afghanistan, India, Syria and Morocco.

CONCLUSIONS

Urgent comprehensive control measures are imperative. Early detection, targeted interventions and raising awareness of CL and sand-fly vectors are vital for reducing the disease's impact. International collaboration and monitoring are crucial to tackle Leishmania spp.'s genetic diversity and curtail its cross-border spread.

Distribution and Risk of Cutaneous Leishmaniasis in Khyber Pakhtunkhwa, Pakistan

Cutaneous leishmaniasis (CL) is a zoonotic infection caused by obligate intracellular protozoa of the genus Leishmania. This study aimed to investigate CL in Khyber Pakhtunkhwa, Pakistan and to estimate the risk of epidemics. Clinico-epidemiological data of 3188 CL patients were collected from health facilities in 2021. Risk factors were analyzed using the chi-square test. ArcGIS V.10.7.1 was applied for spatial analysis. The association between CL occurrence and climatic variables was examined by Bayesian geostatistical analysis. The clinical data revealed males or individuals younger than 20 years old were more affected. Most patients presented with a single lesion, and the face was the most attacked body part. CL was prevalent in the southern region in winter. A proportional symbol map, a choropleth map, and a digital elevation model map were built to show the distribution of CL. Focal transmission was predicted by inverse distance weighting interpolation. Cluster and outlier analysis identified clusters in Bannu, Dir Lower, and Mardan, and hotspot analysis suggested Bannu as a high-risk foci. Bayesian geostatistical analysis indicated that increasing precipitation and temperature as well as low altitudes were associated with CL infection. The study has provided important information for public health sectors to develop intervention strategies for future CL epidemics.

Bayesian Spatial Modeling of Diabetes and Hypertension: Results from the South Africa General Household Survey

Determining spatial links between disease risk and socio-demographic characteristics is vital in disease management and policymaking. However, data are subject to complexities caused by heterogeneity across host classes and space epidemic processes. This study aims to implement a spatially varying coefficient (SVC) model to account for non-stationarity in the effect of covariates. Using the South Africa general household survey, we study the provincial variation of people living with diabetes and hypertension risk through the SVC model. The people living with diabetes and hypertension risk are modeled using a logistic model that includes spatially unstructured and spatially structured random effects. Spatial smoothness priors for the spatially structured component are employed in modeling, namely, a Gaussian Markov random field (GMRF), a second-order random walk (RW2), and a conditional autoregressive (CAR) model. The SVC model is used to relax the stationarity assumption in which non-linear effects of age are captured through the RW2 and allow the mean effect to vary spatially using a CAR model. Results highlight a non-linear relationship between age and people living with diabetes and hypertension. The SVC models outperform the stationary models. The results suggest significant provincial differences, and the maps provided can guide policymakers in carefully exploiting the available resources for more cost-effective interventions.

Knowledge, attitude, and practices towards cutaneous leishmaniasis in referral cases with cutaneous lesions: A cross-sectional survey in remote districts of southern Khyber Pakhtunkhwa, Pakistan

Background

Cutaneous leishmaniasis is a neglected tropical disease caused by Leishmania spp. and transmitted by female sandflies. Terrorism and counter-insurgency military operations in Federally Administered Tribal Areas (FATA) lead to a large-scale migration of internally displaced persons (IDPs) in Khyber Pakhtunkhwa and thus, new outbreaks of several infectious diseases such as cutaneous leishmaniasis occurred. This study intended to find the prevalence of cutaneous leishmaniasis in people with cutaneous lesions suspected of having cutaneous leishmaniasis in four remote districts of Khyber Pakhtunkhwa and to assess the participant’s knowledge, attitude, and practices about the infection and its control.

Methods

A cross-sectional study was carried out in four remote districts of Khyber Pakhtunkhwa including Karak, Lakki Marwat, Tank, and Dera Ismail Khan (D. I. Khan) and a total of 1,674 participants were recruited using a convenience sampling technique.

Results

The prevalence of cutaneous leishmaniasis among the participants with cutaneous lesions was 50.4% and the infection was comparatively more prevalent in district Karak. Among participants, 56.8% were male and mostly, 53.8% were under the age of 16 years with 52.8% living in kutcha houses and were from rural areas. Multiple skin lesions were more common, and the face was frequently affected body part. The ratio of participants with lesions older than a month was higher and the majority confronted infections with blood protozoan parasites for the first time. Most participants were unaware of the signs/symptoms of the disease, basic knowledge of the vectors, anthroponotic spread, preventive measures, secondary infections, and reservoir hosts. The use of wood/animal dung as fuel, closeness with reservoir animals, and no use of insect repellents were some of the notable risk factors.

Conclusion

Cutaneous leishmaniasis is highly prevalent in the study area and a very low level of awareness was reported among the participants. This study necessitates the planning and execution of regulations and preventive programs, public health education, awareness campaigns, and disease management practices to overcome future incidence of cutaneous leishmaniasis.

Molecular characterization and genetic diversity of cutaneous leishmaniasis from North Eastern Pakistan

The genetic diversity of Leishmania spp. in North Eastern Pakistan remains undetermined despite increased cases of cutaneous leishmaniasis (CL). This study was designed to decipher the molecular characterization and genetic diversity of Leishmania spp. in North Eastern Pakistan. Out of 13761 CL suspected cases, 567 cases were microscopically positive and confirmed as Leishmania spp. by internal transcribed spacer (ITS) gene amplification through the PCR- RFLP technique. Further, isolates were directly sequenced to conduct phylogenetic analysis for genetic diversity. Among suspected CL cases, Mirpur showed the highest proportion of CL infection with 4.85% (118/2431) of the cases, while the Neelum district showed the lowest percentage at 3.29% (9/273). The slide positivity rate, annual blood examination rate, and annual parasite incidence rate were 3.84, 0.27, and 0.01% respectively, and the incidence of CL in the age group 1-20 years old was higher in males (50.92%) than females (25.75%). The RFLP analysis and sequencing confirmed the occurrence of Leishmania tropica, Leishmania major, and Leishmania infantum. Leishmania tropica (p = 0.02) confirmed significantly higher nucleotides variation than L. major (p = 0.05). Current findings confirmed the prior assumption that anthroponotic CL is the primary CL form present in North Eastern Pakistan. Moreover, this is the first report based on molecular identification of L. major, and L. infantum from North Eastern Pakistan. This remarkable heterogeneity in the Leishmania spp. is the leading cause of treatment failure and emergence of new haplotypes. Therefore more extensive investigations are recommended from all geographical regions of North Eastern Pakistan, especially those using a large sample size.