Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

The Roles of C-X-C Motif Chemokine Ligand 10 (CXCL10) in Dengue

Early diagnosis of dengue is crucial to prevent the progression to severe dengue (SD) leading to mortality rate reduction. This study aimed to determine the role of the CXCL10 in dengue and its potential utilization as one of the biomarkers for the early diagnosis of dengue. A case-control study was conducted involving healthy subjects as control (n = 10) and 193 subjects as dengue cases. The cases were categorized into dengue without warning signs (DwoWS: n = 70; 34.5 %), dengue with warning signs (DWWS: n = 108; 23.2 %), and severe dengue (SD: n = 15; 7.4 %). The socio-demographic characteristics, clinical presentations, and laboratory parameters (platelet and hematocrit) were documented. Serum CXCL10 quantification was performed using an enzyme-linked immunosorbent assay (ELISA). The descriptive analysis and Pearson’s correlation test were used to analyze demographic data and the correlation between CXCL10, hematocrit, and platelet respectively. The difference in age (p = 0.02) and ethnicity (p = 0.02) were significant between cases and control. Males more frequently had SD in contrast to females (4:1). The frequent warning signs were abdominal pain (42.0 %), severe vomiting (38.3 %), bleeding tendency (15.0 %), and fluid accumulation (7.2 %). The increase in hematocrit (p = 0.039) and platelet reduction (p = 0.0005) were significant in SD. The mean of CXCL10 in control (134.85 ± 48.52 rg/mL) was significantly lower than in cases (545.22 ± 76.33 rg/mL, p = 0.0005). The CXCL10 is evident to be a potential biomarker in the early diagnosis of dengue.

Clinico-Serological Profile and Geographical Distribution of Dengue Fever from a Tertiary Care Hospital, South India

Dengue fever is one of the common viral illnesses linked with significant morbidity and mortality. Of late, there is rapid increase in dengue cases in India. The present study aimed to known dengue seropositivity in different seasons of a year, other laboratory parameters and its geographical distribution. During the study period of 15 months 4172 patients hospitalized with probable dengue fever were included. Dengue serology was done for all cases by ELISA(J. Mitra & Co). Demographic details were taken to create geographical maps of the disease. Of the 4172 suspected dengue cases, 817 had confirmed dengue illness. Of these 817 cases, 584 showed Ns1 antigen (71.4%), 150 IgM antibody (18.3%), and 38 had both Ns1 and Ig M (4.6%). Platelet count less than 1,00,000 were seen in 566 (69.27%) patients. Dengue was noticeably more during monsoon time (June to September) of a year. Through geographical maps major clusters were noticed urban areas of Mysuru and Krishnaraja Nagara , while few clusters were also observed in Periyapatna and T Narsipura taluks of Mysuru district. To minimize the load of dengue cases and its death rate better community awareness and vector control measures need to be strengthened during monsoon especially in areas where burden of the disease is more. This study helps in early preparedness of the authorities concerned in controlling possible epidemics in future.

Space-Time Clustering Characteristics of Tuberculosis in Khyber Pakhtunkhwa Province, Pakistan, 2015-2019

The number of tuberculosis (TB) cases in Pakistan ranks fifth in the world. The National TB Control Program (NTP) has recently reported more than 462,920 TB patients in Khyber Pakhtunkhwa province, Pakistan from 2002 to 2017. This study aims to identify spatial and space-time clusters of TB cases in Khyber Pakhtunkhwa province Pakistan during 2015-2019 to design effective interventions. The spatial and space-time cluster analyses were conducted at the district-level based on the reported TB cases from January 2015 to April 2019 using space-time scan statistics (SaTScan). The most likely spatial and space-time clusters were detected in the northern rural part of the province. Additionally, two districts in the west were detected as the secondary space-time clusters. The most likely space-time cluster shows a tendency of spread toward the neighboring districts in the central part, and the most likely spatial cluster shows a tendency of spread toward the neighboring districts in the south. Most of the space-time clusters were detected at the start of the study period 2015-2016. The potential TB clusters in the remote rural part might be associated to the dry-cool climate and lack of access to the healthcare centers in the remote areas.