Social distancing is practically a physical distance between two persons, prescribed to prevent person to person transmission of a disease. How effective will this measure be in a country with a population of 207 million and average household size of approximately 7 members?
The situation gets complicated when we realize that approximately 68% of the households have 2 or less rooms and more than half of the population lives with extended family. In such a situation, social distancing becomes a challenging issue. #PakistanFightsCorona#Pakistan
In countries like Pakistan, people live in clusters called families and approximately 50% of the population lives with extended family. Thus, home isolation is expected to cause incidence of family clusters and that should not surprise the public health experts. #COVID19Pakistan
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Some quick thoughts on the paper:
*The methodology is not adequately explained. Three months for a one-time cross-sectional survey will not provide the point estimates. Assuming 1675 samples mean 1675 individuals, one sample for each individual was counted. 1/7
Trend analysis & gender stratification of the data would have been much helpful. The three populations had different sample collections strategies.
*The majority were pharma workers who are considered to be at high risk because of their repeated exposure to the healthcare 2/7
environment. So high prevalence was expected in such a population.
*The second group was comprised of HCW, which the author stated are those who donot deal with COVID19 cases. Assuming they belong to one facility i.e., NIBD, and are dealing with immunocompromised 3/7
Some quick thoughts. The study presented some much needed & interesting findings. However, a well representative sample selection could have provided a more accurate account of the disease burden in the Country. 1/11
The gender stratification indicated that both men and women had equal prevalence, which is contradicting the surveillance (PCR) data that indicates that men are 2X more at risk. 2/11
Highlighting the significance of gender-based analysis of the data in identifying gender disparities in “Who has access to the testing facility” and “Who is being tested.” 3/11
Few additional thoughts:
“……. track contacts by linking large databases (global positioning system, credit card transactions, and closed-circuit television).”
Not sure if they were able to track the contacts of 10-19 years of age through credit card transactions, 1/5
probably one of the reasons for low number of contacts with this age group.
Would be interesting to see how the online credit card transactions were differentiated from in-person transactions, assuming during the period of the study, 2/5
most of the people would be doing online transactions.
Age distribution of positive contacts will provide us more information to know where it is propagating and by whom. e.g. age distribution of 43 positive contacts of 10-19 years of age to understand whether 3/5