Bedbug infestation in Lahore hospitals

Background: Bedbug infestation has been reported globally, but there are few reports about this parasite of public health importance in Pakistan. This is the first study on bedbug infestation in a healthcare setting in Lahore, Pakistan. Aims: To study bedbug infestation in public sector hospitals in Lahore, Pakistan. Methods: This cross-sectional study was conducted in 86 wards of 2 tertiary care hospitals in Lahore during October and November 2019, using nonprobability sampling technique. Ward supervisors were interviewed using a self-developed structured questionnaire and wards were examined for bedbugs or their markers. Results: Evidence of bedbug infestation was found in 72.1% of the wards. There was no significant difference in infestation rate between the 2 hospitals but there was a significantly lower incidence of infestation in wards that implemented control measures (25.8% vs 74.2%). No control measures were implemented in 53.4% of the wards sampled. Conclusion: Bedbug infestation was rife in the 2 hospitals studied and knowledge about identification and eradication of the pest among ward supervisors was inadequate. Control measures, where applied, were substandard and not evidencebased.

A longitudinal survey for genome-based identification of SARS-CoV-2 in sewage water in selected lockdown areas of Lahore city, Pakistan; a potential approach for future smart lockdown strategy

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections has affected more than 15 million people and, as of 22 July 2019, caused deaths of more than 0.6 million individuals globally. With the excretion of SARS-CoV-2 in the stool of symptomatic and asymptomatic COVID-19 patients, its genome detection in the sewage water can be used as a powerful epidemiological tool to predict the number of positive cases in a population. This study was conducted to detect SARS-CoV-2 genome in sewage water during the lockdown. Sewage samples, from 28 pre-selected sites, were collected on alternate days from 13-25 July, 2020 from two selected areas [Johar Town (n = 05) and Township (n = 23)], where smart lockdown were implemented by the government authorities on 9th July, 2020. Genomic RNA was extracted and the SARS-CoV-2 was detected and quantified using commercially available kit through Real-Time PCR. Out of 28, sixteen samples were positive on day one while 19, 17, 23, 17, 05 and 09 samples were positive on day 3, 5, 7, 9, 11, and 13, respectively. Results revealed a decreased positivity rate and SARS CoV-2 genome copies in sewage towards the end of lockdown however few sampling sites did not follow a clear pattern indicating the complexities in sewage water based surveillance i.e time of sampling etc. Hourly sampling from two sites for 24 hours also revealed the impact of sampling time on detection of SARS-CoV-2 genome in sewage. Results of current study insinuate a possible role of sewage-based COVID-19 surveillance in monitoring and execution of smart lockdowns.