Understanding gender and its intersection with social stratifiers on prevention and care seeking behavior of lymphatic filariasis in Nepal

Table 2 Intersectional gender analysis matrix

Gender relations domains	Biological/social stratifiers						Disease domains^¥
	Age	Sex	Ethnicity	Marital status	Education	Occupation	Access to resources	Norms and values	Decision making power	Division of work
Vulnerability to disease	*		*	*	*	*		Women are more vulnerable to mosquito bites because of the dressing pattern		Traditional occupation increases the vulnerability as women do the household chores where men engaged in outdoor activities
Ability to prevent exposure	*		*	*	*	*	Women lacks access to information	Men and other family members prioritized for the use of bed nets	Men decide which protective measures to buy	Men miss MDA due to employment outside house
Response to illness	*	*	*	*	*	*	Women lacks access to financial resources to access health facilities		Men decide health seeking services for themselves and family members

^¥Illustrative examples are provided in the given framework to demonstrate how the analysis can be done. Many of the given examples can fit under more than one domain
^*Marked are the social stratifiers that intersected with specific gender domain (column) to influence relevant infectious disease domains (row), leading to marginalisation and vulnerability of the study participant. Only those marked were found intersecting each other, and those not marked (blank) did not intersect to influence vulnerability regarding these domains

ISSN: 2049-9957